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  • American Chemical Society  (2,084,048)
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  • American Geophysical Union (AGU)
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  • 1
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    Permafrost Carbon: Progress on Understanding Stocks and Fluxes Across Northern Terrestrial Ecosystems (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Biogeosciences, American Geophysical Union (AGU), 129(3), ISSN: 2169-8953
    Details
    Publication Date: 2024-02-27
    Description: Significant progress in permafrost carbon science made over the past decades include the identification of vast permafrost carbon stocks, the development of new pan‐Arctic permafrost maps, an increase in terrestrial measurement sites for CO〈jats:sub〉2〈/jats:sub〉 and methane fluxes, and important factors affecting carbon cycling, including vegetation changes, periods of soil freezing and thawing, wildfire, and other disturbance events. Process‐based modeling studies now include key elements of permafrost carbon cycling and advances in statistical modeling and inverse modeling enhance understanding of permafrost region C budgets. By combining existing data syntheses and model outputs, the permafrost region is likely a wetland methane source and small terrestrial ecosystem CO〈jats:sub〉2〈/jats:sub〉 sink with lower net CO〈jats:sub〉2〈/jats:sub〉 uptake toward higher latitudes, excluding wildfire emissions. For 2002–2014, the strongest CO〈jats:sub〉2〈/jats:sub〉 sink was located in western Canada (median: −52 g C m〈jats:sup〉−2〈/jats:sup〉 y〈jats:sup〉−1〈/jats:sup〉) and smallest sinks in Alaska, Canadian tundra, and Siberian tundra (medians: −5 to −9 g C m〈jats:sup〉−2〈/jats:sup〉 y〈jats:sup〉−1〈/jats:sup〉). Eurasian regions had the largest median wetland methane fluxes (16–18 g CH〈jats:sub〉4〈/jats:sub〉 m〈jats:sup〉−2〈/jats:sup〉 y〈jats:sup〉−1〈/jats:sup〉). Quantifying the regional scale carbon balance remains challenging because of high spatial and temporal variability and relatively low density of observations. More accurate permafrost region carbon fluxes require: (a) the development of better maps characterizing wetlands and dynamics of vegetation and disturbances, including abrupt permafrost thaw; (b) the establishment of new year‐round CO〈jats:sub〉2〈/jats:sub〉 and methane flux sites in underrepresented areas; and (c) improved models that better represent important permafrost carbon cycle dynamics, including non‐growing season emissions and disturbance effects.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 2
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    Tectono‐Stratigraphic Evolution of the Kerguelen Large Igneous Province: The Conjugate William’s Ridge‐Broken Ridge Rifted Margins (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Solid Earth, American Geophysical Union (AGU), 129(3), ISSN: 2169-9313
    Details
    Publication Date: 2024-03-04
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Extensive investigation of continental rift systems has been fundamental for advancing the understanding of extensional tectonics and modes of formation of new ocean basins. However, current rift classification schemes do not account for conjugate end members formed by Large Igneous Province crust, referring to thick mafic crust, sometimes including continental fragments. Here, we investigate the rifting of William's Ridge (Kerguelen Plateau) and Broken Ridge, components of the Kerguelen Large Igneous Province now situated in the Southeast Indian Ocean, and incorporate these end members into the deformation migration concept for rifted margins. We use multichannel seismic reflection profiles and data from scientific drill cores acquired on both conjugate margins to propose, for the first time, a combined tectono‐stratigraphic framework. We interpret seismic patterns, tectonic features, and magnetic anomaly picks to determine an across‐strike structural domain classification. This interpretation considers the rift system overall to be “magma‐poor” despite being located proximal to the Kerguelen plume but suggests that syn‐rift interaction between the Kerguelen mantle plume and the lithospheric structure of William's Ridge and Broken Ridge has controlled the along‐strike segmentation of both conjugates. We integrate seismic reflection and bathymetric data to test the hypothesis of predominantly transform motion, between the Australian and Antarctic plates, in Late Cretaceous and Paleogene time.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 3
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    Tectono‐Stratigraphic Evolution of the Kerguelen Large Igneous Province: The Conjugate William’s Ridge‐Broken Ridge Rifted Margins (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Solid Earth, American Geophysical Union (AGU), 129(3), ISSN: 2169-9313
    Details
    Publication Date: 2024-03-04
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Extensive investigation of continental rift systems has been fundamental for advancing the understanding of extensional tectonics and modes of formation of new ocean basins. However, current rift classification schemes do not account for conjugate end members formed by Large Igneous Province crust, referring to thick mafic crust, sometimes including continental fragments. Here, we investigate the rifting of William's Ridge (Kerguelen Plateau) and Broken Ridge, components of the Kerguelen Large Igneous Province now situated in the Southeast Indian Ocean, and incorporate these end members into the deformation migration concept for rifted margins. We use multichannel seismic reflection profiles and data from scientific drill cores acquired on both conjugate margins to propose, for the first time, a combined tectono‐stratigraphic framework. We interpret seismic patterns, tectonic features, and magnetic anomaly picks to determine an across‐strike structural domain classification. This interpretation considers the rift system overall to be “magma‐poor” despite being located proximal to the Kerguelen plume but suggests that syn‐rift interaction between the Kerguelen mantle plume and the lithospheric structure of William's Ridge and Broken Ridge has controlled the along‐strike segmentation of both conjugates. We integrate seismic reflection and bathymetric data to test the hypothesis of predominantly transform motion, between the Australian and Antarctic plates, in Late Cretaceous and Paleogene time.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 4
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    Late Holocene Dust Deposition Fluxes Over the Entire South Atlantic Ocean (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geochemistry Geophysics Geosystems, American Geophysical Union (AGU), 25(1), ISSN: 1525-2027
    Details
    Publication Date: 2024-03-04
    Description: Mineral dust accumulated on the ocean floor is an important archive for reconstructing past atmospheric circulation changes and climatological conditions in the source areas. Dust emitted from Southern Hemisphere dust sources is widely deposited over the oceans. However, there are few records of dust deposition over the open ocean, and a large need for extended geographical coverage exists. We present a large data set (134 surface sediment samples) of Late Holocene dust deposition from seafloor surface sediments covering the entire South Atlantic Ocean. Polymodal grain-size distributions of the lithogenic fraction indicate that the sediments are composed of multiple sediment components. By using end-member modeling, we attempt to disentangle the dust signal from non-aeolian sediments. Combined with 230Th-normalized lithogenic fluxes, we quantified the specific deposition fluxes for mineral dust, crrent-sorted sediments and ice-rafted debris (IRD). Although the method could not completely separate the different components in every region, it shows that dust deposition off the most prominent dust source for the South Atlantic Ocean—southern South America—amounts up to approximately 0.7 g cm−2 Kyr−1 and decreases downwind. Bottom-current-sorted sediments and IRD are mostly concentrated around the continental margins. The ratio of the coarse to fine dust end members reveals input from north African dust sources to the South Atlantic. The majority of the observations are in good agreement with new model simulations. This extensive and relevant data set of dust grain size and deposition fluxes to the South Atlantic could be used to calibrate and validate further model simulations.
    Repository Name: EPIC Alfred Wegener Institut
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  • 5
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    Tectono‐Stratigraphic Evolution of the Kerguelen Large Igneous Province: The Conjugate William’s Ridge‐Broken Ridge Rifted Margins (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Solid Earth, American Geophysical Union (AGU), 129(3), ISSN: 2169-9313
    Details
    Publication Date: 2024-03-04
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Extensive investigation of continental rift systems has been fundamental for advancing the understanding of extensional tectonics and modes of formation of new ocean basins. However, current rift classification schemes do not account for conjugate end members formed by Large Igneous Province crust, referring to thick mafic crust, sometimes including continental fragments. Here, we investigate the rifting of William's Ridge (Kerguelen Plateau) and Broken Ridge, components of the Kerguelen Large Igneous Province now situated in the Southeast Indian Ocean, and incorporate these end members into the deformation migration concept for rifted margins. We use multichannel seismic reflection profiles and data from scientific drill cores acquired on both conjugate margins to propose, for the first time, a combined tectono‐stratigraphic framework. We interpret seismic patterns, tectonic features, and magnetic anomaly picks to determine an across‐strike structural domain classification. This interpretation considers the rift system overall to be “magma‐poor” despite being located proximal to the Kerguelen plume but suggests that syn‐rift interaction between the Kerguelen mantle plume and the lithospheric structure of William's Ridge and Broken Ridge has controlled the along‐strike segmentation of both conjugates. We integrate seismic reflection and bathymetric data to test the hypothesis of predominantly transform motion, between the Australian and Antarctic plates, in Late Cretaceous and Paleogene time.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 6
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    The Role of Coastal Yedoma Deposits and Continental Shelf Sediments in the Arctic Ocean Silicon Cycle (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Global Biogeochemical Cycles, American Geophysical Union (AGU), 38(1), ISSN: 0886-6236
    Details
    Publication Date: 2024-02-13
    Description: The availability of silicon (Si) in the ocean plays an important role in regulating biogeochemical and ecological processes. The Si budget of the Arctic Ocean appears balanced, with inputs equivalent to outputs, though it is unclear how a changing climate might aggravate this balance. In this study, we focus on Si cycling in Arctic coastal areas and continental shelf sediments to better constrain the Arctic Ocean Si budget. We provide the first estimate of amorphous Si (ASi) loading from erosion of coastal Yedoma deposits (30–90 Gmol yr−1), demonstrating comparable rates to particulate Si loading from rivers (10–90 Gmol yr−1). We found a positive relationship between surface sediment ASi and organic matter content on continental shelves. Combining these values with published Arctic shelf sediment properties and burial rates we estimate 70 Gmol Si yr−1 is buried on Arctic continental shelves, equivalent to 4.5% of all Si inputs to the Arctic Ocean. Sediment dissolved Si fluxes increased with distance from river mouths along cruise transects of shelf regions influenced by major rivers in the Laptev and East Siberian seas. On an annual basis, we estimate that Arctic shelf sediments recycle approximately up to twice as much DSi (680 Gmol Si) as is loaded from rivers (340–500 Gmol Si).
    Repository Name: EPIC Alfred Wegener Institut
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  • 7
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    A Synthesis of Global Coastal Ocean Greenhouse Gas Fluxes (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Global Biogeochemical Cycles, American Geophysical Union (AGU), 38(1), ISSN: 0886-6236
    Details
    Publication Date: 2024-02-13
    Description: The coastal ocean contributes to regulating atmospheric greenhouse gas concentrations by taking up carbon dioxide (CO2) and releasing nitrous oxide (N2O) and methane (CH4). In this second phase of the Regional Carbon Cycle Assessment and Processes (RECCAP2), we quantify global coastal ocean fluxes of CO2, N2O and CH4 using an ensemble of global gap-filled observation-based products and ocean biogeochemical models. The global coastal ocean is a net sink of CO2 in both observational products and models, but the magnitude of the median net global coastal uptake is ∼60% larger in models (−0.72 vs. −0.44 PgC year−1, 1998–2018, coastal ocean extending to 300 km offshore or 1,000 m isobath with area of 77 million km2). We attribute most of this model-product difference to the seasonality in sea surface CO2 partial pressure at mid- and high-latitudes, where models simulate stronger winter CO2 uptake. The coastal ocean CO2 sink has increased in the past decades but the available time-resolving observation-based products and models show large discrepancies in the magnitude of this increase. The global coastal ocean is a major source of N2O (+0.70 PgCO2-e year−1 in observational product and +0.54 PgCO2-e year−1 in model median) and CH4 (+0.21 PgCO2-e year−1 in observational product), which offsets a substantial proportion of the coastal CO2 uptake in the net radiative balance (30%–60% in CO2-equivalents), highlighting the importance of considering the three greenhouse gases when examining the influence of the coastal ocean on climate.
    Repository Name: EPIC Alfred Wegener Institut
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  • 8
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    Selective Sorting and Degradation of Permafrost Organic Matter in the Nearshore Zone of Herschel Island (Yukon, Canada) (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research Biogeosciences, American Geophysical Union (AGU), 129(1), ISSN: 2169-8953
    Details
    Publication Date: 2024-01-26
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Erosion of permafrost coasts due to climate warming releases large quantities of organic carbon (OC) into the Arctic Ocean. While burial of permafrost OC in marine sediments potentially limits degradation, resuspension of sediments in the nearshore zone potentially enhances degradation and greenhouse gas production, adding to the “permafrost carbon feedback.” Recent studies, focusing on bulk sediments, suggest that permafrost OC derived from coastal erosion is predominantly deposited close to shore. However, bulk approaches disregard sorting processes in the coastal zone, which strongly influence the OC distribution and fate. We studied soils and sediments along a transect from the fast‐eroding shoreline of Herschel Island—〈jats:italic〉Qikiqtaruk〈/jats:italic〉 (Yukon, Canada) to a depositional basin offshore. Sample material was fractionated by density (1.8 g cm〈jats:sup〉−3〈/jats:sup〉) and size (63 μm), separating loose OC from mineral‐associated OC. Each fraction was analyzed for element content (TOC, TN), carbon isotopes (δ〈jats:sup〉13〈/jats:sup〉C, Δ〈jats:sup〉14〈/jats:sup〉C), molecular biomarkers (〈jats:italic〉n〈/jats:italic〉‐alkanes, 〈jats:italic〉n〈/jats:italic〉‐alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The OC partitioning between fractions changes considerably along the transect, highlighting the importance of hydrodynamic sorting in the nearshore zone. Additionally, OC and biomarker loadings decrease along the land‐ocean transect, indicating significant loss of OC during transport. However, molecular proxies for degradation show contrasting trends, suggesting that OC losses are not always well reflected in its degradation state. This study, using fraction partitioning that crosses land‐ocean boundaries in a way not done before, aids to disentangle sorting processes from degradation patterns, and provides quantitative insight into losses of thawed and eroded permafrost OC.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 9
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    Passive Sampler Derived Profiles and Mass Flows of Perfluorinated Alkyl Substances (PFASs) across the Fram Strait in the North Atlantic (2024)
    American Chemical Society
    In:  EPIC3Environmental Science & Technology Letters, American Chemical Society
    Details
    Publication Date: 2024-01-24
    Repository Name: EPIC Alfred Wegener Institut
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  • 10
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    Seismic Risk Communication in Europe: Lessons Learned and Future Perspectives (2024)
    American Geophysical Union (AGU)
    Details
    Publication Date: 2024-03-13
    Description: Since the 1980s various international directives and frameworks have acknowledged the potential of risk communication to foster community empowerment. However, to achieve empowerment, communication has to be effective. When it comes to natural disasters, such as earthquakes, science communication requires the involvement of communities as a whole, promoting bottom-up strategies and proactive engagement. In this light, we conducted a scoping review of scientific publications on seismic risk communication in Europe published between 2000 and 2022. We focused on how seismic risk communication has changed in that time span, looking for targeted approaches, tools, recipients and channels. Here we provide an overview of the results obtained from the analysis of 109 selected publications, also highlighting the importance of scientific communication as a transnational problem, due to the mobility of modern society. Our study reveals that seismic risk communication in Europe is becoming increasingly proactive, focusing on a bottom-up strategy that relies on youth to build the resilience of future generations. The potential for the community empowerment has been primarily addressed with seismic risk communication during the pre-crisis phase of the disaster, when risk awareness can be effectively raised. Social media are increasingly used to provide timely and actionable information in times of crisis, to engage citizens within a two-way risk communication model, in the pre-crisis time, and to provide scientific data for post-disaster processing. The future agenda of seismic risk communication in Europe should focus on building trust with the public, moving towards a three-way model of seismic risk communication and, even more importantly, taking action to curb the spread of fake news and their negative impact on disaster management. Last but not least, more efforts should be made to link practice and theory and explicitly build seismic risk communication on theoretical models.
    Description: Published
    Description: San Francisco, California, USA
    Description: OS: Terza missione
    Keywords: Seismic risk ; communication ; Europe ; scoping review ; 04.06. Seismology ; 05.08. Risk ; 05.09
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Oral presentation
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  • 11
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    Volcano-Tectonic seismicity during the unrest phase on the island of Vulcano (Italy) from mid-September 2021 to December 2022 (2024)
    American Geophysical Union (AGU)
    Details
    Publication Date: 2024-03-13
    Description: In mid-September 2021 there was a rapid increase in geophysical and geochemical parameters on the island of Vulcano, Italy, reaching alarming values. This phase of unrest aroused serious concern among Civil Protection, local authorities and the scientific community due to the risk of phreatomagmatic activity, with potentially serious repercussions on the inhabitants of the island and on visiting tourists. The beginning of the unrest was marked by a high occurrence rate of local micro-seismicity related to fluid dynamics within the shallower hydrothermal system (mainly Long Period and Very Long Period events); Volcano-Tectonic (VT) earthquakes increased in late October after most of the monitored parameters reached their climax. Afterwards, major episodes of VT activity were also recorded from March to April and at the end of the year 2022, when an earthquake of ML 4.6 occurred on December 4, SW of the island of Vulcano. Here, we analyze the VT earthquakes from January 2020 to December 2022, in terms of space-time distribution, energy release and focal mechanisms in the framework of the regional geodynamic context and in the light of the main characteristics of the seismic activity recorded in the Vulcano area over the past 36 years.
    Description: Published
    Description: San Francisco, California, USA
    Description: OST3 Vicino alla faglia
    Keywords: earthquakes ; monitoring ; volcano unrest ; Vulcano ; 04.06. Seismology ; 04.07. Tectonophysics ; 04.08. Volcanology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Oral presentation
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  • 12
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    Sediment Freeze‐On and Transport Near the Onset of a Fast‐Flowing Glacier in East Antarctica (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geophysical Research Letters, American Geophysical Union (AGU), 51(6), ISSN: 0094-8276
    Details
    Publication Date: 2024-03-18
    Description: Understanding the material properties and physical conditions of basal ice is crucial for a comprehensive understanding of Antarctic ice‐sheet dynamics. Yet, direct data are sparse and difficult to acquire. Here, we employ ultra‐wideband radar to map high‐backscatter zones near the glacier bed within East Antarctica's Jutulstraumen drainage basin. Our backscatter analysis reveals that the basal ice in an area of ∼10,000 km² is composed of along‐flow oriented sediment‐laden basal ice units connected to the basal substrate, extending up to several hundred meters thick. Three‐dimensional thermomechanical modeling supports that these units form via basal freeze‐on of subglacial water that originated from further upstream. Our findings suggest that basal freeze‐on, and the entrainment and transport of subglacial material play a significant role in an accurate representation of material, physical, and rheological properties of the Antarctic ice sheet's basal ice, ultimately enhancing the accuracy and reliability of ice‐sheet modeling.
    Repository Name: EPIC Alfred Wegener Institut
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  • 13
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    Sediment Freeze‐On and Transport Near the Onset of a Fast‐Flowing Glacier in East Antarctica (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geophysical Research Letters, American Geophysical Union (AGU), 51(6), ISSN: 0094-8276
    Details
    Publication Date: 2024-03-18
    Description: Understanding the material properties and physical conditions of basal ice is crucial for a comprehensive understanding of Antarctic ice‐sheet dynamics. Yet, direct data are sparse and difficult to acquire. Here, we employ ultra‐wideband radar to map high‐backscatter zones near the glacier bed within East Antarctica's Jutulstraumen drainage basin. Our backscatter analysis reveals that the basal ice in an area of ∼10,000 km² is composed of along‐flow oriented sediment‐laden basal ice units connected to the basal substrate, extending up to several hundred meters thick. Three‐dimensional thermomechanical modeling supports that these units form via basal freeze‐on of subglacial water that originated from further upstream. Our findings suggest that basal freeze‐on, and the entrainment and transport of subglacial material play a significant role in an accurate representation of material, physical, and rheological properties of the Antarctic ice sheet's basal ice, ultimately enhancing the accuracy and reliability of ice‐sheet modeling.
    Repository Name: EPIC Alfred Wegener Institut
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  • 14
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    Sediment Freeze‐On and Transport Near the Onset of a Fast‐Flowing Glacier in East Antarctica (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geophysical Research Letters, American Geophysical Union (AGU), 51(6), ISSN: 0094-8276
    Details
    Publication Date: 2024-03-18
    Description: Understanding the material properties and physical conditions of basal ice is crucial for a comprehensive understanding of Antarctic ice‐sheet dynamics. Yet, direct data are sparse and difficult to acquire. Here, we employ ultra‐wideband radar to map high‐backscatter zones near the glacier bed within East Antarctica's Jutulstraumen drainage basin. Our backscatter analysis reveals that the basal ice in an area of ∼10,000 km² is composed of along‐flow oriented sediment‐laden basal ice units connected to the basal substrate, extending up to several hundred meters thick. Three‐dimensional thermomechanical modeling supports that these units form via basal freeze‐on of subglacial water that originated from further upstream. Our findings suggest that basal freeze‐on, and the entrainment and transport of subglacial material play a significant role in an accurate representation of material, physical, and rheological properties of the Antarctic ice sheet's basal ice, ultimately enhancing the accuracy and reliability of ice‐sheet modeling.
    Repository Name: EPIC Alfred Wegener Institut
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  • 15
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    Anthropogenic Influence on Tropospheric Reactive Bromine Since the Pre‐industrial: Implications for Arctic Ice‐Core Bromine Trends (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geophysical Research Letters, American Geophysical Union (AGU), 51(5), ISSN: 0094-8276
    Details
    Publication Date: 2024-03-21
    Description: Tropospheric reactive bromine (Bry) influences the oxidation capacity of the atmosphere by acting as a sink for ozone and nitrogen oxides. Aerosol acidity plays a crucial role in Bry abundances through acid-catalyzed debromination from sea-salt-aerosol, the largest global source. Bromine concentrations in a Russian Arctic ice-core, Akademii Nauk, show a 3.5-fold increase from pre-industrial (PI) to the 1970s (peak acidity, PA), and decreased by half to 1999 (present day, PD). Ice-core acidity mirrors this trend, showing robust correlation with bromine, especially after 1940 (r = 0.9). Model simulations considering anthropogenic emission changes alone show that atmospheric acidity is the main driver of Bry changes, consistent with the observed relationship between acidity and bromine. The influence of atmospheric acidity on Bry should be considered in interpretation of ice-core bromine trends.
    Repository Name: EPIC Alfred Wegener Institut
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  • 16
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    The Chemical Effect of Increased Water Vapor From the Hunga Tonga‐Hunga Ha'apai Eruption on the Antarctic Ozone Hole (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Geophysical Research Letters, American Geophysical Union (AGU), 51(4), ISSN: 0094-8276
    Details
    Publication Date: 2024-03-27
    Description: The eruption of the Hunga Tonga‐Hunga Ha'apai volcano on 15 January 2022 was one of the most explosive eruptions of the last decades. The amount of water vapor injected into the stratosphere was unprecedented in the observational record, increasing the stratospheric water vapor burden by about 10%. Using model runs from the ATLAS chemistry and transport model and Microwave Limb Sounder (MLS) satellite observations, we show that while 20%–40% more water vapor than usual was entrained into the Antarctic polar vortex in 2023 as it formed, the direct chemical effect of the increased water vapor on Antarctic ozone depletion in June through October was minor (less than 4 DU). This is because low temperatures in the vortex, as occur every year in the Antarctic, limit water vapor to the saturation pressure and thus reset any anomalies through the process of dehydration before they can affect ozone loss.
    Repository Name: EPIC Alfred Wegener Institut
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  • 17
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    Tectono‐Stratigraphic Evolution of the Kerguelen Large Igneous Province: The Conjugate William’s Ridge‐Broken Ridge Rifted Margins (2024)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research: Solid Earth, American Geophysical Union (AGU), 129(3), ISSN: 2169-9313
    Details
    Publication Date: 2024-04-24
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Extensive investigation of continental rift systems has been fundamental for advancing the understanding of extensional tectonics and modes of formation of new ocean basins. However, current rift classification schemes do not account for conjugate end members formed by Large Igneous Province crust, referring to thick mafic crust, sometimes including continental fragments. Here, we investigate the rifting of William's Ridge (Kerguelen Plateau) and Broken Ridge, components of the Kerguelen Large Igneous Province now situated in the Southeast Indian Ocean, and incorporate these end members into the deformation migration concept for rifted margins. We use multichannel seismic reflection profiles and data from scientific drill cores acquired on both conjugate margins to propose, for the first time, a combined tectono‐stratigraphic framework. We interpret seismic patterns, tectonic features, and magnetic anomaly picks to determine an across‐strike structural domain classification. This interpretation considers the rift system overall to be “magma‐poor” despite being located proximal to the Kerguelen plume but suggests that syn‐rift interaction between the Kerguelen mantle plume and the lithospheric structure of William's Ridge and Broken Ridge has controlled the along‐strike segmentation of both conjugates. We integrate seismic reflection and bathymetric data to test the hypothesis of predominantly transform motion, between the Australian and Antarctic plates, in Late Cretaceous and Paleogene time.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 18
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    Anaerobic respiration in a boreal wetland and surrounding habitats, across a hydrological transect. (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-11
    Description: This dataset reports measurements from a laboratory incubation of soils sourced from a boreal peatland and surrounding habitats (Siikaneva Bog, Finland). In August 2021, soil cores were collected from three habitat zones: a well-drained upland forest, an intermediate margin ecotone, and a Sphagnum moss bog. The cores from each habitat were taken from surface to approximately 50cm below surface using an Eijelkamp peat corer and subdivided by soil horizon. The samples were then incubated anaerobically for 140 days in three temperature treatment groups (0, 4, 20°C). Subsamples of the incubations headspace (250 µL) were measured on a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID) for CO2 and CH4 concentrations. The rate of respiration from the samples were calculated per gram carbon and per gram soil as described in the method of Robertson., et al. (1999) and reported here, along with other relevant parameters.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 19
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    Data collection of the sediment core MR16-09_PC03 in the Southeast Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-08
    Type: info:eu-repo/semantics/workingPaper
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  • 20
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    Biomass of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 21
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    Density of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 22
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    Mineralogic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; Clay; DEPTH, sediment/rock; Diatoms; Giant piston corer (Calypso); GPC-C; Grain size, Mastersizer S, Malvern Instrument Inc.; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Silt; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 498 data points
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  • 23
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    Magnetic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Anhysteretic susceptibility/magnetic susceptibility; Antarctic Circumpolar Current; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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  • 24
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    Summer sea surface temperature for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; calculated, 1 sigma; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Reconstructed from the percentage of Neogloboquadrina pachyderma sinistral; Reconstructed from the percentage of planktic foraminifera; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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  • 25
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    Concentrations and carbon isotopic composition of suspended particulate matter and dissolved organic matter in Lena River and Central Siberian Rivers, 2010-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: Concentrations of particulate and dissolved organic carbon from water samples collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon.
    Keywords: AWI Arctic Land Expedition; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, particulate ratio; CARBOPERM; Comment; Cruise/expedition; d13C; D14C; DATE/TIME; DEPTH, water; DOC; Event label; Formation, turnover and release of carbon in Siberian permafrost landscapes; Kochechum_River; Kochechum River; L10-05; L10-10; L11-06; L11-08/09; L11-10/11; L11-12/13; L11-14/15; L14-01; L14-03; L14-05; L14-06; L14-07; L14-14; L14-16; L14-17; L14-18; L14-19; L14-22; L14-27; L14-29; L14-K1; L14-K2; L14-K3; L14-K4; Laboratory code/label; LATITUDE; Lena2010; Lena2011; LONGITUDE; N_Tunguska_River; Nizhnyaya Tunguska River at Tura; POC; Reference/source; RU-Land_2010_Lena; RU-Land_2010_Lena-L10-05; RU-Land_2010_Lena-L10-10; RU-Land_2011_Lena; RU-Land_2011_Lena-L11-06; RU-Land_2011_Lena-L11-08/09; RU-Land_2011_Lena-L11-10/11; RU-Land_2011_Lena-L11-12/13; RU-Land_2011_Lena-L11-14/15; RU-Land_2014_Lena; RU-Land_2014_Lena-L14-01; RU-Land_2014_Lena-L14-03; RU-Land_2014_Lena-L14-05; RU-Land_2014_Lena-L14-06; RU-Land_2014_Lena-L14-07; RU-Land_2014_Lena-L14-14; RU-Land_2014_Lena-L14-16; RU-Land_2014_Lena-L14-17; RU-Land_2014_Lena-L14-18; RU-Land_2014_Lena-L14-19; RU-Land_2014_Lena-L14-22; RU-Land_2014_Lena-L14-27; RU-Land_2014_Lena-L14-29; RU-Land_2014_Lena-L14-K1; RU-Land_2014_Lena-L14-K2; RU-Land_2014_Lena-L14-K3; RU-Land_2014_Lena-L14-K4; Sample ID; Water sample; WS; Δ14C, dissolved organic carbon; Δ14C, particulate organic carbon; Δ14C, particulate organic carbon, standard deviation; Δ14C, standard deviation; δ13C, dissolved organic carbon; δ13C, dissolved organic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 411 data points
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  • 26
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    Composition and age of suspended particulate and dissolved organic matter in the Lena River and Central Siberian Rivers, 2002-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: This data set consists of isotopic and molecular information obtained from samples of particulate and dissolved organic matter collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon. Concentrations of long-chain n-alkanes (n-C17 to n-C33) in suspended particulate matter samples collected on glass-fibre filters in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW. Contents of long-chain n-alkanes (n-C17 to n-C33) in soil samples as well as particles settled from a large-volume water sample collected in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW.
    Keywords: Biomarkers; CARBOPERM; d13C; D14C; DOC; Formation, turnover and release of carbon in Siberian permafrost landscapes; POC
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 27
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203280801 (RF05) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220328_P6_RF05; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203280801; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 6694 data points
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  • 28
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203260702 (RF04) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220326_P6_RF04; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203260702; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 11906 data points
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  • 29
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203290901 (RF06) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220329_P6_RF06; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203290901; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 26012 data points
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  • 30
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203200401 (RF01) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203200401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 16414 data points
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  • 31
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204011101 (RF08) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20114 data points
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  • 32
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204101601 (RF13) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220410_P6_RF13; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20356 data points
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  • 33
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203301001 (RF07) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220330_P6_RF07; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203301001; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 23834 data points
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  • 34
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    Bihourly temperature and humidity measurements in the Abracurrie cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Abracurrie Cave; ASF-3; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 27119 data points
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  • 35
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    Multi sensor core logging data of sediment core GeoB24001-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24001-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_6-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 6682 data points
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  • 36
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    Multi sensor core logging data of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24006-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 1102 data points
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  • 37
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    Multi sensor core logging data of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24011-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 4903 data points
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  • 38
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    Stable isotope data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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    DATA PANGAEA
  • 39
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    X-ray fluorescence core scanning data of sediment core GeoB24001-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24001-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_6-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 34488 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 40
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    X-ray fluorescence core scanning data of sediment core GeoB24004-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24004-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_11-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 1152 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 41
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    X-ray fluorescence core scanning data of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24006-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 5200 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 42
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    X-ray fluorescence core scanning data of sediment core GeoB24008-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24008-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_15-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 2628 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
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    X-ray fluorescence core scanning data of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24011-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 25344 data points
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    DATA PANGAEA
  • 44
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    Lightness data extracted from core images of sediment core GeoB24003-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24003-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_10-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 95274 data points
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  • 45
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    Lightness data extracted from core images of sediment core GeoB24005-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24005-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_12-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 30276 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
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    Lightness data extracted from core images of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24006-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 51708 data points
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    DATA PANGAEA
  • 47
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    Lightness data extracted from core images of sediment core GeoB24007-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24007-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_14-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 48828 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
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    Lightness data extracted from core images of sediment core GeoB24009-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24009-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_16-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 81342 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 49
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    Lightness data extracted from core images of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24011-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 216774 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
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    Lightness data extracted from core images of sediment core GeoB24008-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24008-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_15-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 49620 data points
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    DATA PANGAEA
  • 51
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    Multi sensor core logging data of sediment core GeoB24003-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24003-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_10-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 2196 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 52
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    Multi sensor core logging data of sediment core GeoB24009-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24009-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_16-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 1883 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 53
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    Water record of Magallana angulata F2 generation exposed to transgenerational ocean acidification during laboratory experiments in 2021/2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The basic observed water characteristics (pH, temperature, salinity) of Magallana angulata (also known as Crassostrea angulata) F2 generation from larval stage to adult in the hatchery located in Zhanjiang, China (21.07°N, 110.74°E) for around one year. The F2 larvae were acquired by artificial fertilization of matured F1 generation (F1_8.1-7.4 and F1_7.4-8.1). Embryos from F1_8.1-7.4 were separated into two pH levels: F2_8.1-7.4-8.1 and F2_8.1-7.4-7.4. The embryos from F1_7.4-8.1 were separated into two pH levels: F2_7.4-8.1-8.1 and F2_7.4-8.1-7.4. There were four treatments for F2 generation and reared till 2022 to test the transgenerational OA effects on oyster biological responses. Low pH was driven by bubbling of CO2-enriched air mixed with ambient air into filter seawater in the treatment tanks. pH and temperature were monitored daily with pH meter (Mettler Toledo InLab®, Switzerland) calibrated with NBS standards. Salinity was monitored using a dual-scale refractometer (MingRui, China). The seawater was utterly changed every two days during larval stage and every week for juvenile stage.
    Keywords: Chamber number; Crassostrea angulata; Date/time end, experiment; Date/time start, experiment; Experimental treatment; HAND; Laboratory experiment; Magallana_angulata_F0; Ocean acidification; Oyster; pH meter, Mettler Toledo, Pro2Go Portable; Refractometer, Mingrui, LS10T; Salinity; Sampling by hand; Sampling date/time, experiment; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Transgenerational effect; Treatment: pH; Type of study; Wuchuan, China
    Type: Dataset
    Format: text/tab-separated-values, 15840 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Calcareous nannofossil data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Blackites spp.; Bramletteius serraculoides; Calcareous nannofossils; Calcidiscus edgariae; Chiasmolithus altus; Chiasmolithus cf. altus; Chiasmolithus oamaruensis; Chiasmolithus spp.; Clausicoccus fenestratus; Clausicoccus spp.; Clausicoccus subdistichus; Coccolithus cachaoi; Coccolithus eopelagicus; Coccolithus miopelagicus; Coccolithus pelagicus; Coronocyclus nitescens; Counting, light microscope; Cribrocentrum cf. erbae; Cribrocentrum cf. reticulatum; Cribrocentrum reticulatum; Cyclicargolithus floridanus; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Dictyococcites aff. bisectus; Dictyococcites bisectus; Dictyococcites cf. filewiczii; Dictyococcites filewiczii; Dictyococcites hesslandii; Dictyococcites spp.; Discoaster barbadiensis; Discoaster cf. distinctus; Discoaster deflandrei; Discoaster distinctus; Discoaster robustus; Discoaster saipanensis; Discoaster spp.; Discoaster tanii; Discoaster tanii group; Discoaster tanii nodifer; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Ericsonia formosa; Exp371; Helicosphaera bipuncta; Helicosphaera cf. huangii; Helicosphaera cf. leesiae; Helicosphaera cf. recta; Helicosphaera cf. wilcoxonii; Helicosphaera compacta; Helicosphaera euphratis; Helicosphaera lophota; Helicosphaera recta; Helicosphaera spp.; Helicosphaera wilcoxonii; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isthmolithus recurvus; Joides Resolution; Lanternithus cf. minutus; Lanternithus minutus; Lanternithus spp.; Markalius apertus; Markalius inversus; Nannofossils, reworked fossil; Placoliths; Pontosphaera cf. pulchripora; Pontosphaera spp.; Reticulofenestra daviesii; Reticulofenestra spp.; Reticulofenestra umbilicus; Sample code/label; Sample ID; Sphenolithus akropodus; Sphenolithus cf. intercalaris; Sphenolithus cf. predistentus; Sphenolithus cf. spiniger; Sphenolithus cf. tribulosus; Sphenolithus distentus; Sphenolithus intercalaris; Sphenolithus moriformis group; Sphenolithus predistentus; Sphenolithus predistentus-distentus; Sphenolithus sp.; Sphenolithus spp.; Sphenolithus tribulosus; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; Thoracosphaera spp.; Umbilicosphaera spp.; Zygrhablithus bijugatus
    Type: Dataset
    Format: text/tab-separated-values, 10912 data points
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  • 55
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    Summarized list of all heat flow determinations on RV METEOR cruise M186 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 56
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    Marine heat flow data at station HF2241 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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  • 57
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    Marine heat flow data at station HF2240 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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  • 58
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    Marine heat flow data at station HF2242 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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  • 59
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    Marine heat flow data at station HF2244 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 60
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    Marine heat flow data at station HF2249 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 61
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    Marine heat flow data at station HF2248 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 62
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    Marine heat flow data at station HF2247 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 63
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    Marine heat flow data at station HF2245 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 64
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    Marine heat flow data at station HF2246 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 65
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    Nitrogen isotope record and TOC accumulation rates of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 66
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    Age model of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 67
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    Heat flow data of METEOR cruise M186, Azores hot vents (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 68
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    Cladocera abundance from sediment core Aguas_Verdes_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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  • 69
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    Cladocera abundance from sediment core Borreguil_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 70
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    Paleo±Dust: Quantifying uncertainty in paleo-dust deposition across archive types (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 71
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    Meteorological synoptical observations from station Fukuoka (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 216000 data points
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  • 72
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    Radiosonde measurements from station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 30428 data points
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  • 73
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    Radiosonde measurements from station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29847 data points
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  • 74
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    Radiosonde measurements from station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28103 data points
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  • 75
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    Radiosonde measurements from station Ishigakijima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28491 data points
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  • 76
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    Radiosonde measurements from station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29036 data points
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  • 77
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    Basic measurements of radiation at station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; 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 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 785083 data points
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  • 78
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    Meteorological synoptical observations from station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259040 data points
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  • 79
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    Radiosonde measurements from station Minamitorishima (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27060 data points
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  • 80
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    Meteorological synoptical observations from station Fukuoka (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 81
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    Meteorological synoptical observations from station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259200 data points
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  • 82
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    Meteorological synoptical observations from station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 192027 data points
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  • 83
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    Meteorological synoptical observations from station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 212522 data points
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  • 84
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    Meteorological synoptical observations from station Abashiri (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267615 data points
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  • 85
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    Basic measurements of radiation at station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819071 data points
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  • 86
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    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 777246 data points
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  • 87
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    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; 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; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 811380 data points
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  • 88
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    Basic measurements of radiation at station Abashiri (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; 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; Japan; 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 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847912 data points
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  • 89
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    Unknown
    Meteorological synoptical observations from station Abashiri (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267442 data points
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  • 90
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    Unknown
    Radiosonde measurements from station Abashiri (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 31975 data points
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  • 91
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    Unknown
    Basic measurements of radiation at station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; 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; ISH; Ishigakijima; Japan; 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 090231, WRMC No. 4006/86006; Pyranometer, Kipp & Zonen, CMP22, SN 090101, WRMC No. 4007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090145, WRMC No. 7001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 758888 data points
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  • 92
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    Prokaryotic respiration and growth in Baltic and north Seas 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Data was collected in a project investigating the importance of prokaryotic maintenance respiration in the marine environment. Prokaryotic respiration, growth and abundance was measured at multiple stations encompassing three sites along the Baltic Sea gradient and North Sea. Salinity covered 3 to 30. Temperature, total dissolved phosphorus and nitrogen were also measured. Measurements were done during the late summer in August and September 2017. Data from the northern most site was collected 2015 with the same methods. Duplicate Niskin bottle samples were taken from discrete depths in surface waters covering up to 70 m depth depending on site. Prokaryotic respiration was measured in 1.2 µm pre-filtered samples using oxygen optode. Prokaryotic growth was measured by the tritiated thymidine incorporation technique in pre-filtered samples. Prokaryotic abundance was measured by acridine orange stain and direct epi-fluorescence microscopy applying image analysis. Cell-specific respiration and growth rates were calculated for evaluating influence of prokaryotic maintenance respiration. The prokaryotic growth efficiency was also estimated. Results are reported in a scientific article in Frontiers in marine Science (doi:10.3389/fmars.2023.1070070).
    Keywords: Area/locality; B1; Bacteria; Baltic Sea; Bottle, Niskin; Calculated; Carbon, organic, dissolved; Carbon per cell; Cocoa; Confidence interval; Cook's distance; CTD probe; DATE/TIME; DEPTH, water; Epifluorescence microscopy after acridine orange staining; Event label; Flag; GF1; GF2; GF3; GF4; GF5; growth; Identification; KA1; KA2; KA3; KA4; Kalmar_KA1; Kalmar_KA2; Kalmar_KA3; Kalmar_KA4; Kalmar_SB; Kalmar_SS; Kristineberg_GF1; Kristineberg_GF2; Kristineberg_GF3; Kristineberg_GF4; Kristineberg_GF5; Latitude of event; Longitude of event; maintenance; MAIRE1; MAIRE2; N11; N14; N26; N27; N28; N29; N30; N31; N6; NB8; NIS; Nitrogen, total dissolved; North Sea; nutrients; Oere_B1; Oere_N11; Oere_N14; Oere_N26; Oere_N27; Oere_N28; Oere_N29; Oere_N30; Oere_N31; Oere_N6; Oere_NB8; OPTODE; Oxygen optode; Phosphorus, total dissolved; Prokaryotes; Prokaryotes, biomass as carbon; Prokaryotes, biomass as carbon, standard deviation; Prokaryotes, growth efficiency; Prokaryotic community growth rate, in mass carbon; Prokaryotic community growth rate, standard deviation; Prokaryotic growth rate per cell; Prokaryotic growth rate per cell, standard deviation; QuAAtro AutoAnalyzer; Respiration; Respiration rate, oxygen, prokaryotic; Respiration rate, oxygen, prokaryotic, per cell; Respiration rate, oxygen, prokaryotic, standard deviation; RV Lotty; Salinity; SB; SS; Temperature, water; Thymidine incorporation
    Type: Dataset
    Format: text/tab-separated-values, 2213 data points
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  • 93
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    Mooring-based (YS05) data collected in the period May-June 2014 in Young Sound, Greenland (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series of currents, salinity (conductivity), temperature Chlorophyl-a and CDOM were obtained in the period May- June 2014 by use of a McLane ice-tethered profiler in Young Sound, Greenland. At YS05 (74.238 N, 20.188 W) the mooring consisted of a 600 kHz downward-looking Nortek Aquadopp ADCP and an SBE 52-MP CTD (accuracy temperature ±0.002 C and conductivity ±0.0003 Sm-1) and WetLab ECO triplet (Cholorphyll-a and CDOM). Velocities were corrected for magnetic deviation (18.5o). The water column sampling spanned between 1.5 and 30 m depth every 30 min. The ADCP was set to sample 80 bins (bin size of 0.5 m) and each bin consisted of a 1 min ensemble average of 60 pings. The first and last bins were centred at 1m and 41 m depth. Only bins between 2.5 and 30 m were adequately measured. For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74 N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Event label; Fluorescence, chlorophyll; Fluorescence, colored dissolved organic matter; Fluorometer, WET Labs ECO 3-Triplet; Hydrographic time series; ice-covered conditions; LATITUDE; LONGITUDE; MOOR; Moored Profiler CTD, Sea-Bird, SBE 52-MP; Mooring; Nortek Acoustic Wave and Current Profiler (AWAC); Pressure, water; Salinity; Temperature, water; Young Sound, Greenland; Young Sound-Greenland; YS05
    Type: Dataset
    Format: text/tab-separated-values, 284915 data points
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  • 94
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    CTD data collected in the period April-June 2014 in Young Sound, Greenland (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: CTD data was obtained in the period April-June 2014 in Young Sound, Greenland. CTD casts were performed using an SBE-19 plus CTD (accuracy: ±0.005 C and ±0.0005 Sm-1) which was lowered through ice-drilled holes. In total, 4 transects were performed and covered from the mouth to the head of the fjord. Standardized routines of Seabird software were used on the data set for quality control and bin averaging. The data sets consist of profiles of practical salinity, temperature, potential temperature, dissolved oxygen, fluorescence, turbidity, and irradiance (PAR). For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74o N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: CTD, Sea-Bird, SBE 19plus; CTD data; DATE/TIME; DEPTH, water; Event label; Fluorescence; ice-covered conditions; LATITUDE; LONGITUDE; Oxygen, dissolved; Pressure, water; Radiation, photosynthetically active; Salinity; Sample elevation; Temperature, water; Temperature, water, potential; Turbidity (Formazin Turbidity Unit); Young Sound, Greenland; Young Sound-Greenland; YS-001; YS-002; YS-003; YS-004; YS-005; YS-006; YS-007; YS-008; YS-009; YS-010; YS-011; YS-012; YS-013; YS-014; YS-015; YS-016; YS-017; YS-018; YS-019; YS-020; YS-021; YS-022; YS-023; YS-024; YS-025; YS-026; YS-027; YS-028; YS-029; YS-030; YS-031; YS-032; YS-033; YS-034; YS-035; YS-036; YS-037; YS-038; YS-039; YS-040; YS-041; YS-042; YS-043; YS-044; YS-045; YS-046; YS-047; YS-048; YS-049; YS-050; YS-051; YS-052; YS-053; YS-054; YS-055; YS-056; YS-057; YS-058; YS-059; YS-060; YS-061; YS-062; YS-063; YS-064; YS-065; YS-066; YS-067; YS-068; YS-069; YS-070; YS-071; YS-072; YS-073; YS-074; YS-075; YS-076; YS-077; YS-078; YS-079; YS-080; YS-081; YS-082; YS-083; YS-084; YS-085; YS-086; YS-087; YS-088; YS-089; YS-090; YS-091; YS-092; YS-093; YS-094; YS-095; YS-096; YS-097; YS-098; YS-099; YS-100; YS-101; YS-102; YS-103; YS-104; YS-105; YS-106; YS-107; YS-108; YS-109; YS-110; YS-111; YS-112; YS-113; YS-114; YS-115; YS-116; YS-117; YS-118; YS-119; YS-120; YS-121; YS-122; YS-123; YS-124; YS-125; YS-126; YS-127; YS-128; YS-129; YS-130; YS-131; YS-132
    Type: Dataset
    Format: text/tab-separated-values, 191889 data points
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  • 95
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    Meteorological synoptical observations from station Sonnblick (2023-08) (2024)
    PANGAEA
    In:  GeoSphere Austria
    Details
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5666 data points
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  • 96
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    Meteorological synoptical observations from station Sonnblick (2023-09) (2024)
    PANGAEA
    In:  GeoSphere Austria
    Details
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5309 data points
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  • 97
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    Magnetic susceptibility of sediment core MD12-3396Cq (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Anhysteretic susceptibility/magnetic susceptibility; Calypso square corer; CASQ; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; last deglaciation; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 730 data points
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  • 98
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    Mineralogical properties of sediment core MD12-3396Cq (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Calypso square corer; CASQ; Clay; DEPTH, sediment/rock; Diatoms; Grain size, Mastersizer S, Malvern Instrument Inc.; last deglaciation; magnetic parameters; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Silt; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 99
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    Current velocity data from mooring M6 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1014334 data points
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  • 100
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    Hydrographic data from mooring M6 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS124; PS124_99-1; Salinity; Temperature, water; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 6733598 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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