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  • PANGAEA  (35,399)
  • Springer Nature  (23,899)
  • International Union of Crystallography (IUCr)  (6,726)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • Taylor & Francis
  • 2020-2024  (38,283)
  • 1975-1979  (32,415)
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  • 1
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    Generation of macro- and microplastic databases by high-throughput FTIR analysis with microplate readers (2024)
    Springer Nature
    In:  EPIC3Analytical and Bioanalytical Chemistry, Springer Nature, 416(6), pp. 1311-1320, ISSN: 1618-2642
    Details
    Publication Date: 2024-03-04
    Description: FTIR spectral identification is today’s gold standard analytical procedure for plastic pollution material characterization. High-throughput FTIR techniques have been advanced for small microplastics (10–500 µm) but less so for large microplastics (500–5 mm) and macroplastics (〉 5 mm). These larger plastics are typically analyzed using ATR, which is highly manual and can sometimes destroy particles of interest. Furthermore, spectral libraries are often inadequate due to the limited variety of reference materials and spectral collection modes, resulting from expensive spectral data collection. We advance a new high-throughput technique to remedy these problems using FTIR microplate readers for measuring large particles (〉 500 µm). We created a new reference database of over 6000 spectra for transmission, ATR, and reflection spectral collection modes with over 600 plastic, organic, and mineral reference materials relevant to plastic pollution research. We also streamline future analysis in microplate readers by creating a new particle holder for transmission measurements using off-the-shelf parts and fabricating a nonplastic 96-well microplate for storing particles. We determined that particles should be presented to microplate readers as thin as possible due to thick particles causing poor-quality spectra and identifications. We validated the new database using Open Specy and demonstrated that additional transmission and reflection spectra reference data were needed in spectral libraries.
    Repository Name: EPIC Alfred Wegener Institut
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  • 2
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    Rectifying misinformation on the climate intervention potential of ocean afforestation (2024)
    Springer Nature
    In:  EPIC3Nature Communications, Springer Nature, 15(1), pp. 3012-3012, ISSN: 2041-1723
    Details
    Publication Date: 2024-04-19
    Repository Name: EPIC Alfred Wegener Institut
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  • 3
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    Rapid Laurentide Ice Sheet growth preceding the Last Glacial Maximum due to summer snowfall (2024)
    Springer Nature
    In:  EPIC3Nature Geoscience, Springer Nature, pp. 1-10, ISSN: 1752-0894
    Details
    Publication Date: 2024-05-06
    Description: There has been extensive research into the nonlinear responses of the Earth system to astronomical forcing during the last glacial cycle. However, the speed and spatial geometry of ice sheet expansion to its largest extent at the Last Glacial Maximum 21 thousand years ago remains uncertain. Here we use an Earth system model with interactive ice sheets to show that distinct initial North American (Laurentide) ice sheets at 38 thousand years ago converge towards a configuration consistent with the Last Glacial Maximum due to feedbacks between atmospheric circulation and ice sheet geometry. Notably, ice advance speed and spatial pattern in our model are controlled by the amount of summer snowfall, which is dependent on moisture transport pathways from the North Atlantic warm pool linked to ice sheet geometry. The consequence of increased summer snowfall on the surface mass balance of the ice sheet is not only the direct increase in accumulation but the indirect reduction in melt through the snow/ice–albedo feedback. These feedbacks provide an effective mechanism for ice growth for a range of initial ice sheet states and may explain the rapid North American ice volume increase during the last ice age and potentially driving growth during previous glacial periods.
    Repository Name: EPIC Alfred Wegener Institut
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  • 4
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    Subsurface warming in the Antarctica’s Weddell Sea can be avoided by reaching the 2∘C warming target (2024)
    Springer Nature
    In:  EPIC3Communications Earth & Environment, Springer Nature, 5(1), pp. 93-93, ISSN: 2662-4435
    Details
    Publication Date: 2024-04-03
    Description: Recently, seasonal pulses of modified Warm Deep Water have been observed near the Filchner Ice Shelf front in the Weddell Sea, Antarctica. Here, we investigate the temperature evolution of subsurface waters in the Filchner Trough under four future scenarios of carbon dioxide emissions using the climate model AWI-CM. Our model simulates these warm intrusions, suggests more frequent pulses in a warmer climate, and supports the potential for a regime shift from cold to warm Filchner Trough in two high-emission scenarios. The regime shift is governed in particular by decreasing local sea ice formation and a shoaling thermocline. Cavity circulation is not critical in triggering the change. Consequences would include increased ice shelf basal melting, reduced buttressing of fast-flowing ice streams, loss of grounded ice and an acceleration of global sea level rise. According to our simulations, the regime shift can be avoided and the Filchner Trough warming can be restricted to 0.5 ∘C by reaching the 2 ∘C climate goal.
    Repository Name: EPIC Alfred Wegener Institut
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  • 5
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    Diverse plasmid systems and their ecology across human gut metagenomes revealed by PlasX and MobMess (2024)
    Springer Nature
    In:  EPIC3Nature Microbiology, Springer Nature, 9(3), pp. 830-847, ISSN: 2058-5276
    Details
    Publication Date: 2024-04-03
    Description: Plasmids alter microbial evolution and lifestyles by mobilizing genes that often confer fitness in changing environments across clades. Yet our ecological and evolutionary understanding of naturally occurring plasmids is far from complete. Here we developed a machine-learning model, PlasX, which identified 68,350 non-redundant plasmids across human gut metagenomes and organized them into 1,169 evolutionarily cohesive ‘plasmid systems’ using our sequence containment-aware network-partitioning algorithm, MobMess. Individual plasmids were often country specific, yet most plasmid systems spanned across geographically distinct human populations. Cargo genes in plasmid systems included well-known determinants of fitness, such as antibiotic resistance, but also many others including enzymes involved in the biosynthesis of essential nutrients and modification of transfer RNAs, revealing a wide repertoire of likely fitness determinants in complex environments. Our study introduces computational tools to recognize and organize plasmids, and uncovers the ecological and evolutionary patterns of diverse plasmids in naturally occurring habitats through plasmid systems.
    Repository Name: EPIC Alfred Wegener Institut
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  • 6
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    Dietary- and host-derived metabolites are used by diverse gut bacteria for anaerobic respiration (2024)
    Springer Nature
    In:  EPIC3Nature Microbiology, Springer Nature, 9(1), pp. 55-69, ISSN: 2058-5276
    Details
    Publication Date: 2024-04-03
    Description: Respiratory reductases enable microorganisms to use molecules present in anaerobic ecosystems as energy-generating respiratory electron acceptors. Here we identify three taxonomically distinct families of human gut bacteria (Burkholderiaceae, Eggerthellaceae and Erysipelotrichaceae) that encode large arsenals of tens to hundreds of respiratory-like reductases per genome. Screening species from each family (Sutterella wadsworthensis, Eggerthella lenta and Holdemania filiformis), we discover 22 metabolites used as respiratory electron acceptors in a species-specific manner. Identified reactions transform multiple classes of dietary- and host-derived metabolites, including bioactive molecules resveratrol and itaconate. Products of identified respiratory metabolisms highlight poorly characterized compounds, such as the itaconate-derived 2-methylsuccinate. Reductase substrate profiling defines enzyme–substrate pairs and reveals a complex picture of reductase evolution, providing evidence that reductases with specificities for related cinnamate substrates independently emerged at least four times. These studies thus establish an exceptionally versatile form of anaerobic respiration that directly links microbial energy metabolism to the gut metabolome.
    Repository Name: EPIC Alfred Wegener Institut
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  • 7
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    Grazing by nano- and microzooplankton on heterotrophic picoplankton dominates the biological carbon cycling around the Western Antarctic Peninsula (2024)
    Springer Nature
    In:  EPIC3Polar Biology, Springer Nature, 47(3), pp. 279-294, ISSN: 0722-4060
    Details
    Publication Date: 2024-04-09
    Description: Over the past 40 years, the significance of microzooplankton grazing in oceanic carbon cycling has been highlighted with the help of dilution experiments. The ecologically relevant Western Antarctic Peninsula (WAP) ecosystem in the Southern Ocean (SO), however, has not been well studied. Here we present data from dilution experiments, performed at three stations around the northern tip of the WAP to determine grazing rates of small zooplankton (hetero- and mixotrophic members of the 0.2–200 µm size fraction, SZP) on auto- and heterotrophic members of the 〈 200 µm plankton community as well as their gross growth. While variable impacts of SZP grazing on carbon cycling were measured, particulate organic carbon, not the traditionally used parameter chlorophyll a, provided the best interpretable results. Our results suggested that heterotrophic picoplankton played a significant role in the carbon turnover at all stations. Finally, a comparison of two stations with diverging characteristics highlights that SZP grazing eliminated 56–119% of gross particulate organic carbon production from the particulate fraction. Thus, SZP grazing eliminated 20–50 times more carbon from the particulate fraction compared to what was exported to depth, therefore significantly affecting the efficiency of the biological carbon pump at these SO sites.
    Repository Name: EPIC Alfred Wegener Institut
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  • 8
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    Correction: Plastics in biota: technological readiness level of current methodologies (2024)
    Springer Nature
    In:  EPIC3Microplastics and Nanoplastics, Springer Nature, 4(1), pp. 8-8, ISSN: 2662-4966
    Details
    Publication Date: 2024-04-17
    Repository Name: EPIC Alfred Wegener Institut
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  • 9
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    Plastics in biota: technological readiness level of current methodologies (2024)
    Springer Nature
    In:  EPIC3Microplastics and Nanoplastics, Springer Nature, 4(1), pp. 6-6, ISSN: 2662-4966
    Details
    Publication Date: 2024-04-17
    Description: Plastics are persistent in the environment and may be ingested by organisms where they may cause physical harm or release plastic additives. Monitoring is a crucial mechanism to assess the risk of plastics to the marine and terrestrial ecosystem. Unfortunately, due to unharmonised procedures, it remains difficult to compare the results of different studies. This publication, as part of the Horizon project EUROqCHARM, aims to identify the properties of the available analytical processes and methods for the determination of plastics in biota. Based on a systematic review, reproducible analytical pipelines were examined and the technological readiness levels were assessed so that these methods may eventually (if not already) be incorporated into (harmonised) monitoring programs where biota are identified as indicators of plastic pollution.
    Repository Name: EPIC Alfred Wegener Institut
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  • 10
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    Eddy activity in the Arctic Ocean projected to surge in a warming world (2024)
    Springer Nature
    In:  EPIC3Nature Climate Change, Springer Nature, 14(2), pp. 1-7, ISSN: 1758-678X
    Details
    Publication Date: 2024-03-08
    Description: Ocean eddies play a critical role in climate and marine life. In the rapidly warming Arctic, little is known about how ocean eddy activity will change because existing climate models cannot resolve Arctic Ocean mesoscale eddies. Here, by employing a next-generation global sea ice–ocean model with kilometre-scale horizontal resolution in the Arctic, we find a surge of eddy kinetic energy in the upper Arctic Ocean, tripling on average in a four-degree-warmer world. The driving mechanism behind this surge is an increase in eddy generation due to enhanced baroclinic instability. Despite the decline of sea ice, eddy killing (a process in which eddies are dampened by sea ice and winds) will not weaken in its annual mean effect in the considered warming scenario. Our study suggests the importance of adequately representing Arctic eddy activity in climate models for understanding the impacts of its increase on climate and ecosystems.
    Repository Name: EPIC Alfred Wegener Institut
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  • 11
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    Diatom-mediated food web functioning under ocean artificial upwelling (2024)
    Springer Nature
    In:  EPIC3Scientific Reports, Springer Nature, 14(1), pp. 3955-3955, ISSN: 2045-2322
    Details
    Publication Date: 2024-03-25
    Description: Enhancing ocean productivity by artificial upwelling is evaluated as a nature-based solution for food security and climate change mitigation. Fish production is intended through diatom-based plankton food webs as these are assumed to be short and efficient. However, our findings from mesocosm experiments on artificial upwelling in the oligotrophic ocean disagree with this classical food web model. Here, diatoms did not reduce trophic length and instead impaired the transfer of primary production to crustacean grazers and small pelagic fish. The diatom-driven decrease in trophic efficiency was likely mediated by changes in nutritional value for the copepod grazers. Whilst diatoms benefitted the availability of essential fatty acids, they also caused unfavorable elemental compositions via high carbon-to-nitrogen ratios (i.e. low protein content) to which the grazers were unable to adapt. This nutritional imbalance for grazers was most pronounced in systems optimized for CO2 uptake through carbon-to-nitrogen ratios well beyond Redfield. A simultaneous enhancement of fisheries production and carbon sequestration via artificial upwelling may thus be difficult to achieve given their opposing stoichiometric constraints. Our study suggest that food quality can be more critical than quantity to maximize food web productivity during shorter-term fertilization of the oligotrophic ocean.
    Repository Name: EPIC Alfred Wegener Institut
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  • 12
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    Short and decadal impacts of seafloor physical perturbation on the abundances of Lebensspuren ‘traces of life’ in the Peru Basin manganese nodule province (2024)
    Springer Nature
    In:  EPIC3Marine Biodiversity, Springer Nature, 54(1), pp. 11-11, ISSN: 1867-1616
    Details
    Publication Date: 2024-03-27
    Description: Interest in deep-sea mining for polymetallic nodules as an alternative source to onshore mines for various high-technology metals has risen in recent years, as demands and costs have increased. The need for studies to assess its short- and long-term consequences on polymetallic nodule ecosystems is therefore also increasingly prescient. Recent image-based expedition studies have described the temporal impacts on epi-/megafauna seafloor communities across these ecosystems at particular points in time. However, these studies have failed to capture information on large infauna within the sediments or give information on potential transient and temporally limited users of these areas, such as mobile surface deposit feeders or fauna responding to bloom events or food fall depositions. This study uses data from the Peru Basin polymetallic nodule province, where the seafloor was previously disturbed with a plough harrow in 1989 and with an epibenthic sled (EBS) in 2015, to simulate two contrasting possible impact forms of mining disturbance. To try and address the shortfall on information on transient epifauna and infauna use of these various disturbed and undisturbed areas of nodule-rich seafloor, images collected 6 months after the 2015 disturbance event were inspected and all Lebensspuren, ‘traces of life’, were characterized by type (epi- or infauna tracemakers, as well as forming fauna species where possible), along with whether they occurred on undisturbed seafloor or regions disturbed in 1989 or 2015. The results show that epi- and endobenthic Lebensspuren were at least 50% less abundant across both the ploughed and EBS disturbed seafloors. This indicates that even 26 years after disturbance, sediment use by fauna may remain depressed across these areas.
    Repository Name: EPIC Alfred Wegener Institut
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  • 13
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    Multiannual patterns of genetic structure and mating type ratios highlight the complex bloom dynamics of a marine planktonic diatom (2024)
    Springer Nature
    In:  EPIC3Scientific Reports, Springer Nature, 14(1), pp. 6028-6028, ISSN: 2045-2322
    Details
    Publication Date: 2024-04-08
    Description: Understanding the genetic structure of populations and the processes responsible for its spatial and temporal dynamics is vital for assessing species’ adaptability and survival in changing environments. We investigate the genetic fingerprinting of blooming populations of the marine diatom Pseudo-nitzschia multistriata in the Gulf of Naples (Mediterranean Sea) from 2008 to 2020. Strains were genotyped using microsatellite fingerprinting and natural samples were also analysed with Microsatellite Pool-seq Barcoding based on Illumina sequencing of microsatellite loci. Both approaches revealed a clonal expansion event in 2013 and a more stable genetic structure during 2017–2020 compared to previous years. The identification of a mating type (MT) determination gene allowed to assign MT to strains isolated over the years. MTs were generally at equilibrium with two notable exceptions, including the clonal bloom of 2013. The populations exhibited linkage equilibrium in most blooms, indicating that sexual reproduction leads to genetic homogenization. Our findings show that P. multistriata blooms exhibit a dynamic genetic and demographic composition over time, most probably determined by deeper-layer cell inocula. Occasional clonal expansions and MT imbalances can potentially affect the persistence and ecological success of planktonic diatoms.
    Repository Name: EPIC Alfred Wegener Institut
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  • 14
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    Biogeographic gradients of picoplankton diversity indicate increasing dominance of prokaryotes in warmer Arctic fjords (2024)
    Springer Nature
    In:  EPIC3Communications Biology, Springer Nature, 7(1), pp. 256-256, ISSN: 2399-3642
    Details
    Publication Date: 2024-04-08
    Description: Climate change is opening the Arctic Ocean to increasing human impact and ecosystem changes. Arctic fjords, the region’s most productive ecosystems, are sustained by a diverse microbial community at the base of the food web. Here we show that Arctic fjords become more prokaryotic in the picoplankton (0.2–3 µm) with increasing water temperatures. Across 21 fjords, we found that Arctic fjords had proportionally more trophically diverse (autotrophic, mixotrophic, and heterotrophic) picoeukaryotes, while subarctic and temperate fjords had relatively more diverse prokaryotic trophic groups. Modeled oceanographic connectivity between fjords suggested that transport alone would create a smooth gradient in beta diversity largely following the North Atlantic Current and East Greenland Current. Deviations from this suggested that picoeukaryotes had some strong regional patterns in beta diversity that reduced the effect of oceanographic connectivity, while prokaryotes were mainly stopped in their dispersal if strong temperature differences between sites were present. Fjords located in high Arctic regions also generally had very low prokaryotic alpha diversity. Ultimately, warming of Arctic fjords could induce a fundamental shift from more trophic diverse eukaryotic- to prokaryotic-dominated communities, with profound implications for Arctic ecosystem dynamics including their productivity patterns.
    Repository Name: EPIC Alfred Wegener Institut
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  • 15
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    Interactive responses to temperature and salinity in larvae of the Asian brush-clawed crab Hemigrapsus takanoi: relevance for range expansion into the Baltic Sea, in the context of climate change (2024)
    Springer Nature
    In:  EPIC3Biological Invasions, Springer Nature, pp. 1-20, ISSN: 1387-3547
    Details
    Publication Date: 2024-04-15
    Description: We studied the potential of a recently introduced species, the Asian brush-clawed crab (Hemigrapsus takanoi), to expand its distribution range further into the Baltic Sea. H. takanoi has been documented in the southwestern Baltic Sea since 2014. The ability to persist and further expand into the Baltic Proper will depend on their potential to sustain all stages of their complex life cycle, including pelagic larvae, under the Baltic Sea's conditions. Range limits may be established by the tolerance to low salinity, which in addition may be affected by water temperature. A key question is whether local populations at the distribution limit (within the Baltic Sea) show increased tolerance to low salinities and hence promote further expansion. We quantified the combined effects of salinity (10–33 PSU) and temperature (15–24 °C) on larval development in four populations of H. takanoi (two from the Baltic and two from the North Sea). We found substantial differences in larval performance between the populations from the Baltic and North Seas. Larvae from the North Sea populations always showed higher survival and faster development compared with those from the Baltic Sea. Only weak evidence of elevated tolerance towards low salinity was found in the larvae from the Baltic Sea populations. In addition, larvae from the population located near the range limit showed very low survival under all tested salinity-temperature combinations and no evidence of increased tolerance to low salinity. There was no apparent genetic differentiation among the studied populations in the mitochondrial cytochrome c oxidase subunit one gene (COI) implying high connectivity among the populations. In conclusion, the weak evidence of low salinity tolerance in Baltic Sea populations, and poor larval performance for the population located near the range limit, coupled with limited genetic differentiation suggest that subsidies are needed for populations to persist near the range limit. Alternatively, ontogenetic migrations would be required to sustain those populations. Monitoring efforts are needed to elucidate the underlaying mechanisms and document potential future range expansions.
    Repository Name: EPIC Alfred Wegener Institut
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  • 16
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    Less variability when growing faster? Experimental assessment of the relationship of growth rate with functional traits of the marine diatom Phaeodactylum tricornutum (2024)
    Springer Nature
    In:  EPIC3Hydrobiologia, Springer Nature, 851(9), pp. 2173-2187, ISSN: 1037-0544
    Details
    Publication Date: 2024-05-03
    Description: Diversity and its drivers and consequences are at the heart of ecological research. Mostly, studies have focused on different species, but if the causes for increases or decreases in diversity are general, the observed patterns should also be observable within genotypes. As previous research shows that there is higher variability in nitrogen to phosphorus ratios (N/P) between slow-growing unicellular algal populations, compared to fast-growing ones, we expected to observe similar patterns within genetically identical strains growing at different rates. We tested this hypothesis in a laboratory experiment performed with a monoculture of the diatom Phaeodactylum tricornutum. Using a growth rate gradient obtained with 10 chemostats, we were able to determine the effect of growth rate on the diatom’s elemental stoichiometry as well as on selected traits, such as cell size and shape. Our results showed indeed less intercellular variability (in the selected traits assessed on single-cell level) in the faster-growing populations, which was accompanied by a downward trend in bulk N/P ratios. We pose that this higher variability at lower growth rates potentially results in higher variability of the food sources available for higher trophic levels with potential consequences for the transfer efficiency of energy and matter in marine food webs.
    Repository Name: EPIC Alfred Wegener Institut
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  • 17
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    Projected poleward migration of the Southern Ocean CO2 sink region under high emissions (2024)
    Springer Nature
    In:  EPIC3Communications Earth & Environment, Springer Nature, 5(1), pp. 232-232, ISSN: 2662-4435
    Details
    Publication Date: 2024-06-11
    Description: The Southern Ocean is a major region of ocean carbon uptake, but its future changes remain uncertain under climate change. Here we show the projected shift in the Southern Ocean CO2 sink using a suite of Earth System Models, revealing changes in the mechanism, position and seasonality of the carbon uptake. The region of dominant CO2 uptake shifts from the Subtropical to the Antarctic region under the high-emission scenario. The warming-driven sea-ice melt, increased ocean stratification, mixed layer shoaling, and a weaker vertical carbon gradient is projected to together reduce the winter de-gassing in the future, which will trigger the switch from mixing-driven outgassing to solubility-driven uptake in the Antarctic region during the winter season. The future Southern Ocean carbon sink will be poleward-shifted, operating in a hybrid mode between biologically-driven summertime and solubility-driven wintertime uptake with further amplification of biologically-driven uptake due to the increasing Revelle Factor.
    Repository Name: EPIC Alfred Wegener Institut
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  • 18
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    The last 1100 years of activity of La Fossa caldera, Vulcano Island (Italy): new insights into stratigraphy, chronology, and landscape evolution (2024)
    Springer Nature
    Details
    Publication Date: 2024-06-13
    Description: A detailed study of past eruptive activity is crucial to understanding volcanic systems and associated hazards. We present a meticulous stratigraphic analysis, a comprehensive chronological reconstruction, thorough tephra mapping, and a detailed analysis of the interplay between primary and secondary volcanic processes of the post-900 AD activity of La Fossa caldera, including the two main systems of La Fossa volcano and Vulcanello cones (Vulcano Island, Italy). Our analyses demonstrate how the recent volcanic activity of La Fossa caldera is primarily characterized by effusive and Strombolian activity and Vulcanian eruptions, combined with sporadic sub-Plinian events and both impulsive and long-lasting phreatic explosions, all of which have the capacity to severely impact the entire northern sector of Vulcano island. We document a total of 30 eruptions, 25 from the La Fossa volcano and 5 from Vulcanello cones, consisting of ash to lapilli deposits and fields of ballistic bombs and blocks. Volcanic activity alternated with significant erosional phases and volcaniclastic re-sedimentation. Large-scale secondary erosion processes occur in response to the widespread deposition of fine-grained ash blankets, both onto the active cone of La Fossa and the watersheds conveying their waters into the La Fossa caldera. The continuous increase in ground height above sea level, particularly in the western sector of the caldera depression where key infrastructure is situated, is primarily attributed to long-term alluvial processes. We demonstrate how a specific methodological approach is key to the characterization and hazard assessment of low-to-high intensity volcanic activity, where tephra is emitted over long time periods and is intercalated with phases of erosion and re-sedimentation.
    Description: Open access funding provided by Istituto Nazionale di Geofisica e Vulcanologia within the CRUI-CARE Agreement.
    Description: Published
    Description: 47
    Description: OSV2: Complessità dei processi vulcanici: approcci multidisciplinari e multiparametrici
    Description: JCR Journal
    Keywords: Active caldera; Aeolian archipelago; Historical eruptions; Island of Vulcano; Tephra; Volcano stratigraphy ; 04.08. Volcanology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 19
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    Simulating long-term wildfire impacts on boreal forest structure in Central Yakutia, Siberia, since the Last Glacial Maximum (2024)
    Springer Nature
    In:  EPIC3Fire Ecology, Springer Nature, 20(1), pp. 1-1, ISSN: 1933-9747
    Details
    Publication Date: 2024-06-21
    Description: Background: Wildfires are recognized as an important ecological component of larch-dominated boreal forests in eastern Siberia. However, long-term fire-vegetation dynamics in this unique environment are poorly understood. Recent paleoecological research suggests that intensifying fire regimes may induce millennial-scale shifts in forest structure and composition. This may, in turn, result in positive feedback on intensifying wildfires and permafrost degradation, apart from threatening human livelihoods. Most common fire-vegetation models do not explicitly include detailed individual-based tree population dynamics, but a focus on patterns of forest structure emerging from interactions among individual trees may provide a beneficial perspective on the impacts of changing fire regimes in eastern Siberia. To simulate these impacts on forest structure at millennial timescales, we apply the individual-based, spatially explicit vegetation model LAVESI-FIRE, expanded with a new fire module. Satellite-based fire observations along with fieldwork data were used to inform the implementation of wildfire occurrence and adjust model parameters. Results: Simulations of annual forest development and wildfire activity at a study site in the Republic of Sakha (Yakutia) since the Last Glacial Maximum (c. 20,000 years BP) highlight the variable impacts of fire regimes on forest structure throughout time. Modeled annual fire probability and subsequent burned area in the Holocene compare well with a local reconstruction of charcoal influx in lake sediments. Wildfires can be followed by different forest regeneration pathways, depending on fire frequency and intensity and the pre-fire forest conditions. We find that medium-intensity wildfires at fire return intervals of 50 years or more benefit the dominance of fire-resisting Dahurian larch (Larix gmelinii (Rupr.) Rupr.), while stand-replacing fires tend to enable the establishment of evergreen conifers. Apart from post-fire mortality, wildfires modulate forest development mainly through competition effects and a reduction of the model’s litter layer. Conclusion: With its fine-scale population dynamics, LAVESI-FIRE can serve as a highly localized, spatially explicit tool to understand the long-term impacts of boreal wildfires on forest structure and to better constrain interpretations of paleoecological reconstructions of fire activity.
    Repository Name: EPIC Alfred Wegener Institut
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  • 20
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    Decadal-scale variability and warming affect spring timing and forest growth across the western Great Lakes region (2024)
    Springer Nature
    In:  EPIC3International Journal of Biometeorology, Springer Nature, 68(4), pp. 1-17, ISSN: 0020-7128
    Details
    Publication Date: 2024-06-21
    Description: The Great Lakes region of North America has warmed by 1–2 °C on average since pre-industrial times, with the most pronounced changes observable during winter and spring. Interannual variability in temperatures remains high, however, due to the influence of ocean-atmosphere circulation patterns that modulate the warming trend across years. Variations in spring temperatures determine growing season length and plant phenology, with implications for whole ecosystem function. Studying how both internal climate variability and the “secular” warming trend interact to produce trends in temperature is necessary to estimate potential ecological responses to future warming scenarios. This study examines how external anthropogenic forcing and decadal-scale variability influence spring temperatures across the western Great Lakes region and estimates the sensitivity of regional forests to temperature using long-term growth records from tree-rings and satellite data. Using a modeling approach designed to test for regime shifts in dynamic time series, this work shows that mid-continent spring climatology was strongly influenced by the 1976/1977 phase change in North Pacific atmospheric circulation, and that regional forests show a strengthening response to spring temperatures during the last half-century.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 21
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    Glacial isostatic adjustment reduces past and future Arctic subsea permafrost (2024)
    Springer Nature
    In:  EPIC3Nature Communications, Springer Nature, 15(1), pp. 3232-3232, ISSN: 2041-1723
    Details
    Publication Date: 2024-05-31
    Description: Sea-level rise submerges terrestrial permafrost in the Arctic, turning it into subsea permafrost. Subsea permafrost underlies ~ 1.8 million km2 of Arctic continental shelf, with thicknesses in places exceeding 700 m. Sea-level variations over glacial-interglacial cycles control subsea permafrost distribution and thickness, yet no permafrost model has accounted for glacial isostatic adjustment (GIA), which deviates local sea level from the global mean due to changes in ice and ocean loading. Here we incorporate GIA into a pan-Arctic model of subsea permafrost over the last 400,000 years. Including GIA significantly reduces present-day subsea permafrost thickness, chiefly because of hydro-isostatic effects as well as deformation related to Northern Hemisphere ice sheets. Additionally, we extend the simulation 1000 years into the future for emissions scenarios outlined in the Intergovernmental Panel on Climate Change’s sixth assessment report. We find that subsea permafrost is preserved under a low emissions scenario but mostly disappears under a high emissions scenario.
    Repository Name: EPIC Alfred Wegener Institut
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  • 22
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    Magma recharge and mush rejuvenation drive paroxysmal activity at Stromboli volcano (2024)
    Springer Nature
    Details
    Publication Date: 2024-06-17
    Description: Open-conduit basaltic volcanoes can be characterised by sudden large explosive events (paroxysms) that interrupt normal effusive and mild explosive activity. In June-August 2019, one major explosion and two paroxysms occurred at Stromboli volcano (Italy) within only 64 days. Here, via a multifaceted approach using clinopyroxene, we show arrival of mafic recharges up to a few days before the onset of these events and their effects on the eruption pattern at Stromboli, as a prime example of a persistently active, open-conduit basaltic volcano. Our data indicate a rejuvenated Stromboli plumbing system where the extant crystal mush is efficiently permeated by recharge magmas with minimum remobilisation promoting a direct linkage between the deeper and the shallow reservoirs that sustains the currently observed larger variability of eruptive behaviour. Our approach provides vital insights into magma dynamics and their effects on monitoring signals demonstrating the power of petrological studies in interpreting patterns of surficial activity.
    Description: Published
    Description: 7717
    Description: OSV1: Verso la previsione dei fenomeni vulcanici pericolosi
    Description: OSV2: Complessità dei processi vulcanici: approcci multidisciplinari e multiparametrici
    Description: JCR Journal
    Keywords: Stromboli volcano ; clinopyroxene ; paroxysmal activity ; Eruptive timescales ; Thermobarometry ; Petrology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 23
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    Enhanced response of soil respiration to experimental warming upon thermokarst formation (2024)
    Springer Nature
    In:  EPIC3Nature Geoscience, Springer Nature, pp. 1-7, ISSN: 1752-0894
    Details
    Publication Date: 2024-06-17
    Description: As global temperatures continue to rise, a key uncertainty of terrestrial carbon (C)–climate feedback is the rate of C loss upon abrupt permafrost thaw. This type of thawing—termed thermokarst—may in turn accelerate or dampen the response of microbial degradation of soil organic matter and carbon dioxide (CO2) release to climate warming. However, such impacts have not yet been explored in experimental studies. Here, by experimentally warming three thermo-erosion gullies in an upland thermokarst site combined with incubating soils from five additional thermokarst-impacted sites on the Tibetan Plateau, we investigate how warming responses of soil CO2 release would change upon upland thermokarst formation. Our results show that warming-induced increase in soil CO2 release is ~5.5 times higher in thermokarst features than the adjacent non-thermokarst landforms. This larger warming response is associated with the lower substrate quality and higher abundance of microbial functional genes for recalcitrant C degradation in thermokarst-affected soils. Taken together, our study provides experimental evidence that warming-associated soil CO2 loss becomes stronger upon abrupt permafrost thaw, which could exacerbate the positive soil C–climate feedback in permafrost-affected regions.
    Repository Name: EPIC Alfred Wegener Institut
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  • 24
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    Herbivore diversity effects on Arctic tundra ecosystems: a systematic review (2024)
    Springer Nature
    In:  EPIC3Environmental Evidence, Springer Nature, 13(1), pp. 6-6, ISSN: 2047-2382
    Details
    Publication Date: 2024-06-24
    Description: Background: Northern ecosystems are strongly influenced by herbivores that differ in their impacts on the ecosystem. Yet the role of herbivore diversity in shaping the structure and functioning of tundra ecosystems has been overlooked. With climate and land-use changes causing rapid shifts in Arctic species assemblages, a better understanding of the consequences of herbivore diversity changes for tundra ecosystem functioning is urgently needed. This systematic review synthesizes available evidence on the effects of herbivore diversity on different processes, functions, and properties of tundra ecosystems. Methods: Following a published protocol, our systematic review combined primary field studies retrieved from bibliographic databases, search engines and specialist websites that compared tundra ecosystem responses to different levels of vertebrate and invertebrate herbivore diversity. We used the number of functional groups of herbivores (i.e., functional group richness) as a measure of the diversity of the herbivore assemblage. We screened titles, abstracts, and full texts of studies using pre-defined eligibility criteria. We critically appraised the validity of the studies, tested the influence of different moderators, and conducted sensitivity analyses. Quantitative synthesis (i.e., calculation of effect sizes) was performed for ecosystem responses reported by at least five articles and meta-regressions including the effects of potential modifiers for those reported by at least 10 articles. Review findings: The literature searches retrieved 5944 articles. After screening titles, abstracts, and full texts, 201 articles including 3713 studies (i.e., individual comparisons) were deemed relevant for the systematic review, with 2844 of these studies included in quantitative syntheses. The available evidence base on the effects of herbivore diversity on tundra ecosystems is concentrated around well-established research locations and focuses mainly on the impacts of vertebrate herbivores on vegetation. Overall, greater herbivore diversity led to increased abundance of feeding marks by herbivores and soil temperature, and to reduced total abundance of plants, graminoids, forbs, and litter, plant leaf size, plant height, and moss depth, but the effects of herbivore diversity were difficult to tease apart from those of excluding vertebrate herbivores. The effects of different functional groups of herbivores on graminoid and lichen abundance compensated each other, leading to no net effects when herbivore effects were combined. In turn, smaller herbivores and large-bodied herbivores only reduced plant height when occurring together but not when occurring separately. Greater herbivore diversity increased plant diversity in graminoid tundra but not in other habitat types. Conclusions: This systematic review underscores the importance of herbivore diversity in shaping the structure and function of Arctic ecosystems, with different functional groups of herbivores exerting additive or compensatory effects that can be modulated by environmental conditions. Still, many challenges remain to fully understand the complex impacts of herbivore diversity on tundra ecosystems. Future studies should explicitly address the role of herbivore diversity beyond presence-absence, targeting a broader range of ecosystem responses and explicitly including invertebrate herbivores. A better understanding of the role of herbivore diversity will enhance our ability to predict whether and where shifts in herbivore assemblages might mitigate or further amplify the impacts of environmental change on Arctic ecosystems.
    Repository Name: EPIC Alfred Wegener Institut
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  • 25
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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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  • 26
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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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  • 27
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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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  • 28
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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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  • 29
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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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  • 30
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    Airborne gravity data across Astrid Ridge, East Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: This data set contains airborne gravity data across central Dronning Maud Land, East Antarctica, acquired during the austral summer of 2009/2010 and within the project 'West-East Gondwana Amalgamation and its Separation' (WEGAS). The data span the offshore Astrid Ridge, and parts of the Nivl and Lazarev ice shelves. The survey was conducted using a ZLS Ultrasys Lacoste & Romberg Air/Sea gravimeter S56 installed into - and operated with - the research aircraft Polar 5. Base readings were performed with a handheld gravity meter at the base station Novolazarevskaja and in Cape Town. A ground speed of 130 knots and a time-domain filter of 220 s leads to a spatial resolution of around 7 km. The average crossover error after bias adjustment is 4.2 mGal. When citing this data set, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: AC; airborne gravity; Aircraft; Antarctica; Antarctica, East; Astrid Ridge; DATE/TIME; Event label; Free-air gravity anomaly; Gravity; Height; LATITUDE; Lazarev Ice Shelf; Line; LONGITUDE; Nivl Ice Shelf; PGM17 (NGA's Preliminary Geopotential Model 2017); POLAR 5; WEGAS_2009/10; WEGAS_2009/10_02; WEGAS_2009/10_03; WEGAS_2009/10_04; WEGAS_2009/10_05; WEGAS_2009/10_06; WEGAS_2009/10_07; WEGAS_2009/10_08; WEGAS_2009/10_09; WEGAS_2009/10_10; WEGAS_2009/10_11; WEGAS_2009/10_12; WEGAS_2009/10_13; WEGAS_2009/10_14; WEGAS_2009/10_16; WEGAS_2009/10_17; WEGAS_2009/10_18; WEGAS_2009/10_19; WEGAS_2009/10_20; WEGAS_2009/10_21; WEGAS offshore
    Type: Dataset
    Format: text/tab-separated-values, 128088 data points
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  • 31
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    Bathymetric model beneath Nivl and Lazarev ice shelves, and across Astrid Ridge embedded within IBCSOV2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: Attached data comprise a bathymetric model of central Dronning Maud Land, including the seabed beneath the Nivl Ice Shelf and the Lazarev Ice Shelf, as well as the offshore Astrid Ridge and adjacent parts of the Riiser-Larsen Sea. Here, this model is embedded within the larger Antarctic-wide bathymetric compilation IBCSOV2 (Dorschel et al., 2022). This is an addition to the stand-alone bathymetric model here: https://doi.org/10.1594/PANGAEA.961492. The embedded model gives seabed depths relative to WGS84 at a resolution of 2.5 km. It is generated by complementing existing topographic data sets - such as seismic data, ice penetrating radar data, and shipborne hydroacoustic data - with the inversion of airborne gravity data towards bathymetry. The airborne gravity data used for the inversion consist of data acquired during aerogeophysical campaigns VISA from the early 2000s and WEGAS from the austral summer of 2009/2010. When citing this model, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: Antarctica; Bathymetry; BathymetryModel_cDronningMaudLan; Bed elevation; Coordinate, x, relative; Coordinate, y, relative; Dronning Maud Land; Dronning Maud Land, Antarctica; gravity inversion; LATITUDE; Lazarev Ice Shelf; LONGITUDE; Model; Nivl Ice Shelf; water column
    Type: Dataset
    Format: text/tab-separated-values, 206742 data points
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  • 32
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    X-ray fluorescence (XRF) from ODP Site 138-846 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
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  • 33
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    Mass accumulation rate of alkenone (C37) from ODP Site 138-846 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 34
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    Mass accumulation rate of alkenone (C37) from ODP Site 138-849 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 35
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    Mass accumulation rate of alkenone (C37) from IODP Site 321-U1338 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 36
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    Radiosonde measurements from station Syowa (2023-05) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22236 data points
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  • 37
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    Meteorological synoptical observations from station Syowa (2023-11) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 257782 data points
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  • 38
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    Radiosonde measurements from station Syowa (2023-02) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25033 data points
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  • 39
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    Radiosonde measurements from station Syowa (2023-04) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23254 data points
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  • 40
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    Dinoflagellate cysts counts of sediment core DP30PC section 8, Gulf of Taranto (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Dinoflagellate cysts have been determined in sediments of core DP30PC on a resolution of 1 sample per 2.5 mm core depth (representing approximately 3 year) and 119.65 - 180.4 cm core depth. These data form the basis of high temporal resolution temperature and precipitation reconstructions for Roman times between about 200 BCE and 600 CE (ca. 205 BCE - 605 CE).
    Keywords: 64PE297; Age; Ataxiodinium choane; Bitectatodinium tepikiense; Center for Marine Environmental Sciences; Counting, dinoflagellate cysts; DEPTH, sediment/rock; Dinoflagellate cyst, other; Dinoflagellate cyst, warm water/cold water, ratio; Dinoflagellate cyst reworked; Discharge index; DP30PC; elements; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sphaericum; Impagidinium strialatum; Lingulodinium polyedrum; MARUM; Mediterranean; Nematosphaeropsis labyrinthus; Operculodinium israelianum; PC; Pelagia; Piston corer; Polysphaeridium zoharyi; Pseudoschizea spp.; Pyxidinopsis reticulata; Roman Climate Optimum; Spiniferites elongatus; Spiniferites mirabilis; Spiniferites ramosus; Tectatodinium pellitum; Temperature, water; Tuberculodinium vancampoae; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 6092 data points
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  • 41
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    Radiosonde measurements from station Syowa (2021-12) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27270 data points
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  • 42
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    Radiosonde measurements from station Syowa (2022-01) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29012 data points
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  • 43
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    Meteorological synoptical observations from station Syowa (2022-03) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 44
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    Radiosonde measurements from station Syowa (2022-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24245 data points
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  • 45
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    Sample locations and whole rock geochemistry for phosphorite samples from the Cambrian Georgina Basin (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium oxide; Ardmore; Area/locality; Barium oxide; Barr_Creek; Calcium oxide; Cerium; Chromium(III) oxide; Depth, description; DEPTH, sediment/rock; DTREE; Duchess; Dysprosium; Erbium; Europium; Event label; Gadolinium; Georgina Basin; Hole; Holmium; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lily_Creek; LONGITUDE; Loss on ignition; Lutetium; Magnesium oxide; Manganese oxide; Neodymium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus pentoxide; Potassium oxide; Praseodymium; Rare-earth elements; ROCK; Rock sample; Samarium; Sample code/label; Sherrin_Creek; Silicon dioxide; Sodium oxide; Strontium oxide; Terbium; Thorium; Thulium; Titanium dioxide; Total; Uranium; Whole rock geochemistry; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1327 data points
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    DATA PANGAEA
  • 46
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    Electron microprobe data of carbonate fluorapatite pellets from the Phosphate Hill phosphorite prospect in the Georgina Basin (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Barium; Barium oxide; Calcium; Calcium oxide; Cerium; Cerium oxid; Chlorine; Date of determination; Electron micro probe analyser (EMPA); Fluorine; Gadolinium; Gadolinium oxide; Georgina Basin; Iron; Iron oxide, Fe2O3; Lanthanum; Lanthanum oxide; Laser Ablation; LATITUDE; LONGITUDE; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Mineral name; Neodymium; Neodymium oxid; Oxygen; Phosphorite; Phosphorus; Phosphorus pentoxide; Sample ID; Silicon; Silicon dioxide; Site; Sodium; Sodium oxide; Strontium; Strontium oxide; Sulfur; Sulfur trioxide; Total; Whole rock geochemistry; Yttrium; Yttrium oxide
    Type: Dataset
    Format: text/tab-separated-values, 1764 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
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    Aerosol size distribution between 18 and 820 nm at Neumayer III station during the year 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-12
    Description: We continuously measured aerosol size distributions in the range between 18 nm and 820 nm in 64 bit per decade resolution by means of a Scanning Mobility Particle Sizer (SMPS, TSI, i.e. a Series 3080 Electrostatic Classifier equipped with a Differential Mobility Analyzer DMA 3081). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 4 August 2023 and 31 December 2023. The data are based on an original 10-minute temporal resolution, submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.81ece554-068a-4c6e-8de5-1ef1944c0156
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; Log-normal particle size distribution, normalized concentration at particle diameter 101.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 109.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 113.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 117.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 121.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 126.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 131 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 140.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 145.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 151.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 156.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 162.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 168.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 174.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 181.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 187.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 19.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 194.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 201.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 209.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 21.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 216.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 22.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 224.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 23.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 232.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 24.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 241.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 250.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 259.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 26.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269 nm; Log-normal particle size distribution, normalized concentration at particle diameter 27.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 278.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 28.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 289 nm; Log-normal particle size distribution, normalized concentration at particle diameter 299.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 30 nm; Log-normal particle size distribution, normalized concentration at particle diameter 31.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 310.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 32.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 322 nm; Log-normal particle size distribution, normalized concentration at particle diameter 33.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 333.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 34.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 346 nm; Log-normal particle size distribution, normalized concentration at particle diameter 35.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 358.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 37.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 371.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 38.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 385.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 399.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 40 nm; Log-normal particle size distribution, normalized concentration at particle diameter 41.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 414.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 42.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 429.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 44.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 445.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 46.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 461.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 47.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 478.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 49.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 495.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 51.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 514 nm; Log-normal particle size distribution, normalized concentration at particle diameter 53.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 532.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 55.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 552.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 57.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 572.5 nm; Log-normal particle size distribution, normalized
    Type: Dataset
    Format: text/tab-separated-values, 385097 data points
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  • 48
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    Whole rock geochemistry of the basement rocks that underlie the Georgina Basin (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Antimony; Ardmore; Area/locality; Arsenic; Barium; Barr_Creek; Beryllium; Bismuth; Boron; Cadmium; Caesium; Calcium; Calcium oxide; Cerium; Chromium; Cobalt; Copper; DTREE; Duchess; Dysprosium; Erbium; Europium; Gadolinium; Georgina Basin; Hafnium; Holmium; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lead-208; Lily_Creek; Lithium; Lithium borate fusion; acid digestion; LONGITUDE; Lutetium; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Molybdenum; Neodymium; Nickel; Niobium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; Praseodymium; Rhenium; ROCK; Rock sample; Rock type; Rubidium; Samarium; Sample ID; Scandium; Sherrin_Creek; Silicon; Silicon dioxide; Sodium; Sodium oxide; Strontium; Tantalum; Tellurium; Terbium; Thallium; Thorium; Thulium; Tin; Titanium; Titanium dioxide; Total; Uranium; Vanadium; Whole rock geochemistry; Ytterbium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 837 data points
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  • 49
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    Aerosol light absorption coefficients and black carbon concentrations at Neumayer for the year 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-09
    Description: We operate a multi angle absorption photometer MAAP (Model 5012, Thermo Electron Corp.). which is in operation since March 2006 ongoing. This instrument measures atmospheric light absorption by aerosol (mainly caused by black carbon, BC). To this end, ambient aerosol was sampled on a glass filter tape. The measured absorption coefficients abs(637) refer to a wavelength of 637 nm. Raw data were originally sampled in one-minute resolution. Finally, hourly averaged MAAP data are presented here. We also provide BC concentrations (ng/m³) derived from the absorption coefficients using the specific BC attenuation cross section (QBC) of 6.6 m²/g.
    Keywords: aerosol; Aerosol absorption at 637 nm; AIRCHEM; Air chemistry observatory; Atmospheric chemistry; Atmospheric Chemistry @ AWI; AWI_AC; Black carbon, aerosol; DATE/TIME; Dronning Maud Land, Antarctica; Duration; HEIGHT above ground; Multi angle absorption spectrometer MAAP5012; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; Spuso; SPUSO
    Type: Dataset
    Format: text/tab-separated-values, 26274 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
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    Aerosol size distribution between 90 and 5000 nm at Neumayer III station during the year 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-09
    Description: We continuously measured aerosol size distributions in the range between 90 nm and 5000 nm in 64 bit resolution with an optical particle sizer (TSI LAS3340). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 1 January 2023 and 10 July 2023. The data rely on an original 10-minute temporal resolution and are finally submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.5d9a9253-e118-4744-be3a-05f31551314a.
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; las3340; Laser Aerosol Spectrometer TSI LAS3340; Log-normal particle size distribution, normalized concentration at particle diameter 1008.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.29 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1074.15 nm; Log-normal particle size distribution, normalized concentration at particle diameter 112.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1143.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 119.38 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1217.84 nm; Log-normal particle size distribution, normalized concentration at particle diameter 127.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1296.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.34 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1380.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 144.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1470.19 nm; Log-normal particle size distribution, normalized concentration at particle diameter 153.45 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1565.43 nm; Log-normal particle size distribution, normalized concentration at particle diameter 163.39 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1666.85 nm; Log-normal particle size distribution, normalized concentration at particle diameter 173.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1774.83 nm; Log-normal particle size distribution, normalized concentration at particle diameter 185.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1889.81 nm; Log-normal particle size distribution, normalized concentration at particle diameter 197.25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2012.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 210.03 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2142.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 223.63 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2281.41 nm; Log-normal particle size distribution, normalized concentration at particle diameter 238.12 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2429.21 nm; Log-normal particle size distribution, normalized concentration at particle diameter 253.55 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2586.58 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2754.15 nm; Log-normal particle size distribution, normalized concentration at particle diameter 287.46 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2932.57 nm; Log-normal particle size distribution, normalized concentration at particle diameter 306.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3122.55 nm; Log-normal particle size distribution, normalized concentration at particle diameter 325.91 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3324.84 nm; Log-normal particle size distribution, normalized concentration at particle diameter 347.02 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3540.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 369.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3769.59 nm; Log-normal particle size distribution, normalized concentration at particle diameter 393.45 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4013.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 418.93 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4273.82 nm; Log-normal particle size distribution, normalized concentration at particle diameter 446.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4550.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 474.98 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4845.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 505.75 nm; Log-normal particle size distribution, normalized concentration at particle diameter 538.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 573.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 610.54 nm; Log-normal particle size distribution, normalized concentration at particle diameter 650.09 nm; Log-normal particle size distribution, normalized concentration at particle diameter 692.21 nm; Log-normal particle size distribution, normalized concentration at particle diameter 737.05 nm; Log-normal particle size distribution, normalized concentration at particle diameter 784.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 835.64 nm; Log-normal particle size distribution, normalized concentration at particle diameter 889.78 nm; Log-normal particle size distribution, normalized concentration at particle diameter 92.87 nm; Log-normal particle size distribution, normalized concentration at particle diameter 947.42 nm; Log-normal particle size distribution, normalized concentration at particle diameter 98.89 nm; Neumayer; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; size distribution; Spuso; SPUSO; Time in minutes
    Type: Dataset
    Format: text/tab-separated-values, 300234 data points
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  • 51
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    Aerosol absorption coefficients at seven wavelengths measured at Neumayer station in 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-12
    Description: We operate a 7-wavelength aethalometer (Model AE33, Magee Scientific) which is in operation since 23 January 2019 ongoing. The Aethalometer model AE33 collects aerosol particles continuously by drawing the aerosol-laden air stream through a spot on the filter tape. It analyzes the aerosol by measuring the transmission of light through one portion of the filter tape containing the sample, versus the transmission through an unloaded portion of the filter tape acting as a reference area. This analysis is done at seven optical wavelengths spanning the range from the near-infrared to the near-ultraviolet. The Aethalometer calculates the instantaneous concentration of optically-absorbing aerosols from the rate of change of the attenuation of light transmitted through the particle-laden filter.
    Keywords: aerosol; Aerosol absorption at 370 nm; Aerosol absorption at 470 nm; Aerosol absorption at 520 nm; Aerosol absorption at 590 nm; Aerosol absorption at 660 nm; Aerosol absorption at 880 nm; Aerosol absorption at 950 nm; aerosol absorption coefficient; Aethalometer, AE33, Magee Scientific; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; DATE/TIME; Dronning Maud Land, Antarctica; Duration; HEIGHT above ground; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; Neumayer Station; Spuso; SPUSO
    Type: Dataset
    Format: text/tab-separated-values, 131400 data points
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  • 52
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    Meteorological synoptical observations from station Lindenberg (2022-04) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-03-02
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Germany; HYGRO; Hygrometer; LIN; Lindenberg; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Pressure, atmospheric; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 6265 data points
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  • 53
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    Expanded measurements from station Lindenberg (2022-04) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-03-02
    Keywords: Baseline Surface Radiation Network; BSRN; Cloud base height; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: text/tab-separated-values, 3422 data points
    Location Call Number Expected Availability
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  • 54
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    Radiosonde measurements from station Lindenberg (2022-04) (2024)
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Details
    Publication Date: 2024-03-02
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Germany; LIN; Lindenberg; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS41; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 782989 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 55
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    Ozone measurements from station Izaña (2024-01) (2024)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-03-08
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; IZA; Izaña; Monitoring station; MONS; Ozone total; Tenerife, Spain
    Type: Dataset
    Format: text/tab-separated-values, 1663 data points
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  • 56
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    Ultra-violet measurements from station Izaña (2024-01) (2024)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-03-08
    Keywords: Baseline Surface Radiation Network; BSRN; DATE/TIME; HEIGHT above ground; IZA; Izaña; Monitoring station; MONS; Tenerife, Spain; Ultraviolet-a global; Ultraviolet-a global, maximum; Ultraviolet-a global, minimum; Ultraviolet-a global, standard deviation; Ultraviolet-b global; Ultraviolet-b global, maximum; Ultraviolet-b global, minimum; Ultraviolet-b global, standard deviation; UV-Radiometer, Kipp & Zonen, UVB1, SN 970839, WRMC No. 61007; UV-Radiometer, Kipp & Zonen, UV-S-A-T, SN 080005, WRMC No. 61006
    Type: Dataset
    Format: text/tab-separated-values, 356432 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 57
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    Radiosonde measurements from station Izaña (2024-01) (2024)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-03-08
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; IZA; Izaña; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS92; Temperature, air; Tenerife, Spain; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 1318328 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 58
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    Meteorological synoptical observations from station Izaña (2024-01) (2024)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-03-08
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Geopotential of a standard isobaric surface; High cloud; HYGRO; Hygrometer; IZA; Izaña; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Station pressure; Temperature, air; Tenerife, Spain; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 996 data points
    Location Call Number Expected Availability
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  • 59
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    Marine Isotope Stage 3, TAN1106-28 dust and iron fluxes, export production, authigenic uranium and excess manganese, SST, Foramifera d15N (2021) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Description: This data set includes biogeochemical proxy data analysed on sediment core TAN1106-28 in 2021 at the University of Tasmania, The Australian Nuclear Science and Technology Organisation, National Taiwan University, and the University of Southampton. This sediment core was collected in 2011 by the RV Tangaroa, in the Solander Trough, south of New Zealand (-48.372°S, 165.659°E). The data spans from 71–0 ka, and is comprised of sea surface temperatures, thorium normalised fluxes of iron, lithogenic material, total organic carbon, chlorins, CaCO3, and excess barium, as well as formanifera-bound nitrogen isotopic compositions, authigenic uranium and excess manganese concentrations, and Benthic-Planktic 14C offsets (yrs).
    Keywords: biogeochemistry; dust; Export Production; iron fertilization; Millennial scale variability; Southern Ocean; SST
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 60
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    Shipboard ADCP current measurements (75 kHz transit dataset) during RV MARIA S. MERIAN cruise MSM112 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Description: Current velocities of the upper water column along the cruise track of R/V Maria S. Merian cruise MSM112/1 were collected by a vessel-mounted 75 kHz RDI Ocean Surveyor ADCP. The ADCP transducer was located at 6.0 m below the water line. The instrument was operated in narrowband mode (WM10) with a bin size of 8.00 m, a blanking distance of 8.00 m, and a total of 100 bins, covering the depth range between 22.0 m and 814.0 m. Heading, pitch and roll data from the ship's motion reference unit and the navigation data from the Global Positioning systems were used by the data acquisition software VmDAS internally to convert ADCP velocities into earth coordinates. Single-ping data were screened for bottom signals and, where appropriate, a bottom mask was manually processed. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. Data post-processing included water track calibration of the misalignment angle (-47.4056° +/- 0.6284°) and scale factor (1.0037 +/- 0.0102) of the Ocean Surveyor signal. The velocity data were averaged in time using an average interval of 60 s. Velocity quality flagging is based on different threshold criteria: Depth cells with ensemble-averaged percent-good values below 25% are marked as 'bad data'. Depth cells with velocities above 2.0 m/s are flagged as 'bad data'. Depth cells with a root-mean-square deviation between the measured ensemble-average velocity and a cell-wise running-mean velocity above 0.5 m/s are flagged as 'probably bad data'.
    Keywords: Current velocity, east-west; Current velocity, north-south; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Echo intensity, relative; LATITUDE; LONGITUDE; Maria S. Merian; MSM112; MSM112_0_Underway-3; Pings, averaged to a double ensemble value; Quality flag, current velocity; RM ROFI; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); Vessel mounted Acoustic Doppler Current Profiler [75 kHz]; VMADCP-75
    Type: Dataset
    Format: text/tab-separated-values, 4385480 data points
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  • 61
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    Basic and other measurements of radiation at station Selegua (2023-12) (2024)
    PANGAEA
    In:  Instituto de Geofísica, Universidad Nacional Autónoma De México
    Details
    Publication Date: 2024-02-27
    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; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Mexico; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP22, SN 160484, WRMC No. 83003; Pyranometer, Kipp & Zonen, CMP22, SN 160486, WRMC No. 83001; Pyrgeometer, Kipp & Zonen, CGR4, SN 140084, WRMC No. 83004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140189, WRMC No. 83002; SEL; Selegua, Mexico Solarimetric Station; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Thermometer; UV-Biometer, Solar Light 501A, SN 19489, WRMC No. 83007
    Type: Dataset
    Format: text/tab-separated-values, 1202633 data points
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  • 62
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    Radiosonde measurements from station Tateno (2023-10) (2024)
    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; TAT; Tateno; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 32168 data points
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  • 63
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    Meteorological synoptical observations from station Sonnblick (2023-06) (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 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, 5511 data points
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  • 64
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    Meteorological synoptical observations from station Sonnblick (2023-11) (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, 5214 data points
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  • 65
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    Basic measurements of radiation at station Sonnblick (2023-07) (2024)
    PANGAEA
    In:  GeoSphere Austria
    Details
    Publication Date: 2024-02-23
    Keywords: Air temperature at 2 m height; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Hukseflux, SR30, SN 2302, WRMC No. 75040; Pyranometer, Hukseflux, SR30, SN 6355, WRMC No. 75039; Pyrgeometer, Kipp & Zonen, CGR4, SN 100175, WRMC No. 75041; Pyrheliometer, Hukseflux, DR02-T2-10, SN 9119, WRMC No. 75038; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; SON; Sonnblick; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 832913 data points
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  • 66
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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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  • 67
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    Volcanic glass shard concentration in the size fraction between 45 and 100 micrometer of sediment core DP30PC section 8, Gulf of Taranto (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Concentrations of volcanic glass shards of the sediment size fraction between 45 - 100 micrometer of sediments of core DP30PC (southeastern Gulf of Taranto) have been determined by polar light microscopy. Based on these results the positions of cryptotephras can be determined. This forms the basis for the establishment of the tephra-chronologic age model of core DP30PC that is based on the elemental analysis of selected shards from these crypto-tephra.
    Keywords: 64PE297; Age; Age, tephra-chronostratigraphy; Center for Marine Environmental Sciences; DEPTH, sediment/rock; DP30PC; elements; MARUM; Mediterranean; PC; Pelagia; Piston corer; Polarisation microscopy; Roman Climate Optimum; Volcanic glass; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 699 data points
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  • 68
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    Radiosonde measurements from station Tamanrasset (2023-12) (2024)
    PANGAEA
    In:  National Meteorological Office of Algeria
    Details
    Publication Date: 2024-02-29
    Keywords: Algeria; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS92; TAM; Tamanrasset; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 3650 data points
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  • 69
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    Meteorological synoptical observations from station Syowa (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259082 data points
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  • 70
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    Meteorological synoptical observations from station Syowa (2023-06) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 253409 data points
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  • 71
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    Meteorological synoptical observations from station Syowa (2023-12) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 264341 data points
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  • 72
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    Radiosonde measurements from station Syowa (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24497 data points
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  • 73
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    Radiosonde measurements from station Syowa (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23263 data points
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  • 74
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    Radiosonde measurements from station Syowa (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22391 data points
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  • 75
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    Meteorological synoptical observations from station Tamanrasset (2023-12) (2024)
    PANGAEA
    In:  National Meteorological Office of Algeria
    Details
    Publication Date: 2024-02-29
    Keywords: Algeria; Amount of cloud layer 1; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud layer 1; 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; Station pressure; TAM; Tamanrasset; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 3943 data points
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  • 76
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    Meteorological synoptical observations from station Syowa (2023-05) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 263041 data points
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  • 77
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    Radiosonde measurements from station Syowa (2023-03) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23112 data points
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  • 78
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    Linear extension rates from modern Tahiti coral TIAREI-A1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present annual linear extension rates of modern Porites corals recovered at Tahiti that grew between 1996 and 2008.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; Extension rate; IODP; MARUM; Sampling by diver; Sr/Ca; Tahiti; TIAREI-A1
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 79
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    Linear extension rates from modern Tahiti coral MARAA-7 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present annual linear extension rates of modern Porites corals recovered at Tahiti that grew between 1996 and 2008.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; Extension rate; IODP; MARAA-7; MARUM; Sampling by diver; Sr/Ca; Tahiti
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 80
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    Linear extension rates from modern Tahiti coral MARAA-8 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present annual linear extension rates of modern Porites corals recovered at Tahiti that grew between 1996 and 2008.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; Extension rate; IODP; MARAA-8; MARUM; Sampling by diver; Sr/Ca; Tahiti
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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  • 81
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    Linear extension rates from modern Tahiti coral TIAREI-3B (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present annual linear extension rates of modern Porites corals recovered at Tahiti that grew between 1996 and 2008.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; Extension rate; IODP; MARUM; Sampling by diver; Sr/Ca; Tahiti; TIAREI-3B
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 82
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    Linear extension rates from modern Tahiti coral TIAREI-4 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present annual linear extension rates of modern Porites corals recovered at Tahiti that grew between 1996 and 2008.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; Extension rate; IODP; MARUM; Sampling by diver; Sr/Ca; Tahiti; TIAREI-4
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 83
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    Monthly interpolated geochemical data from modern Tahiti coral TIAREI-A1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present monthly resolved geochemical proxy data (Sr/Ca, Mg/Ca, δ18O, δ13C) extracted along the growth axes of Porites modern corals ecovered at Tahiti that grew between 1996 and 2008 and serve as a modern-day benchmark.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; ICP-OES (Agilent 720); IODP; MARUM; Mass spectrometer Finnigan MAT 251; Porites sp., Magnesium/Calcium ratio; Porites sp., Strontium/Calcium ratio; Porites sp., δ13C; Porites sp., δ18O; Sampling by diver; Sr/Ca; Tahiti; TIAREI-A1
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
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  • 84
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    Monthly interpolated geochemical data from modern Tahiti coral TIAREI-3B (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present monthly resolved geochemical proxy data (Sr/Ca, Mg/Ca, δ18O, δ13C) extracted along the growth axes of Porites modern corals ecovered at Tahiti that grew between 1996 and 2008 and serve as a modern-day benchmark.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; ICP-OES (Agilent 720); IODP; MARUM; Mass spectrometer Finnigan MAT 251; Porites sp., Magnesium/Calcium ratio; Porites sp., Strontium/Calcium ratio; Porites sp., δ13C; Porites sp., δ18O; Sampling by diver; Sr/Ca; Tahiti; TIAREI-3B
    Type: Dataset
    Format: text/tab-separated-values, 455 data points
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  • 85
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    Monthly interpolated geochemical data from modern Tahiti coral MARAA-8 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present monthly resolved geochemical proxy data (Sr/Ca, Mg/Ca, δ18O, δ13C) extracted along the growth axes of Porites modern corals ecovered at Tahiti that grew between 1996 and 2008 and serve as a modern-day benchmark.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; ICP-OES (Agilent 720); IODP; MARAA-8; MARUM; Mass spectrometer Finnigan MAT 251; Porites sp., Magnesium/Calcium ratio; Porites sp., Strontium/Calcium ratio; Porites sp., δ13C; Porites sp., δ18O; Sampling by diver; Sr/Ca; Tahiti
    Type: Dataset
    Format: text/tab-separated-values, 155 data points
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  • 86
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    Monthly interpolated geochemical data from modern Tahiti coral MARAA-7 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present monthly resolved geochemical proxy data (Sr/Ca, Mg/Ca, δ18O, δ13C) extracted along the growth axes of Porites modern corals ecovered at Tahiti that grew between 1996 and 2008 and serve as a modern-day benchmark.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; ICP-OES (Agilent 720); IODP; MARAA-7; MARUM; Mass spectrometer Finnigan MAT 251; Porites sp., Magnesium/Calcium ratio; Porites sp., Strontium/Calcium ratio; Porites sp., δ13C; Porites sp., δ18O; Sampling by diver; Sr/Ca; Tahiti
    Type: Dataset
    Format: text/tab-separated-values, 480 data points
    Location Call Number Expected Availability
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  • 87
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    Monthly interpolated geochemical data from modern Tahiti coral TIAREI-4 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Here we present monthly resolved geochemical proxy data (Sr/Ca, Mg/Ca, δ18O, δ13C) extracted along the growth axes of Porites modern corals ecovered at Tahiti that grew between 1996 and 2008 and serve as a modern-day benchmark.
    Keywords: Age; AGE; Center for Marine Environmental Sciences; Coral; d13C; d18O; DIVER; ICP-OES (Agilent 720); IODP; MARUM; Mass spectrometer Finnigan MAT 251; Porites sp., Magnesium/Calcium ratio; Porites sp., Strontium/Calcium ratio; Porites sp., δ13C; Porites sp., δ18O; Sampling by diver; Sr/Ca; Tahiti; TIAREI-4
    Type: Dataset
    Format: text/tab-separated-values, 395 data points
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  • 88
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    Age model, carbonate mass accumulation rates and benthic foraminifera from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Description: We conducted a study on the Late Miocene-Early Pliocene Biogenic Bloom, a phase of increased marine biological productivity that occurred approximately between 9 and 3.5 Ma. This phenomenon was observed worldwide in various ocean locations and was attributed to either a rise in nutrient input or a significant reorganization of nutrients within the oceans. Our focus was on the Biogenic Bloom at Ocean Drilling Program (ODP) Site 1085 in the Atlantic Ocean. We provided new biostratigraphic data to develop an updated age model and subsequently examined the variations observed in benthic foraminiferal assemblages throughout the Biogenic Bloom. At Site 1085, the Biogenic Bloom occurred between 8.1 and 3.0 Ma and we studied it employing various proxies, including linear sedimentation rates, carbonate mass accumulation rates, benthic foraminifera assemblage data and associated indexes (such as benthic foraminifera accumulation rate and diversity). We identified four distinct intervals within the Biogenic Bloom based on paleoenvironmental changes inferred from the benthic foraminiferal assemblages. Two intervals within the Biogenic Bloom, spanning from 8.1 to 5.2 Ma and from 3.8 to 3.0 Ma, indicated oligotrophic conditions with highly seasonal phytoplankton blooms. Between 5.2 and 4.8 Ma, we observed short-term fluctuations between well-oxygenated oligotrophic conditions and phases of low-oxygen eutrophic conditions. From 4.8 to 3.8 Ma, we noted a transition to a higher input of food supply to the seafloor. Our findings indicate that the onset of the Biogenic Bloom coincided with well-dated global records and its conclusion aligned with other records from the Atlantic Ocean. Furthermore, our research supports the hypothesis that the Biogenic Bloom should not be viewed as a single productivity event but rather as a complex occurrence comprising several shorter-lived high-productivity periods driven by different factors.
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 89
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    Biogeochemical proxies analysed on sediment core TAN1106-28 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: AGE; Barium excess; Barium excess, flux; biogeochemistry; Calcium carbonate; Calcium carbonate, flux; Carbon, organic, total; Carbon, organic, total, flux; Chlorins; Chlorins, flux; DEPTH, sediment/rock; dust; Export Production; Iron; Iron, flux; iron fertilization; Lithogenic, flux; Lithogenic material; Manganese excess; Millennial scale variability; Sea surface temperature, annual mean; Southern Ocean; SST; TAN1106; TAN1106/28; Tangaroa; Thorium-230, activity; Thorium-230, activity, standard deviation; Thorium-232, activity; Thorium-232, activity, standard deviation; Uranium, authigenic; Uranium-238, activity; Uranium-238, activity, standard deviation; δ15N, foraminifera-bound organic matter
    Type: Dataset
    Format: text/tab-separated-values, 1755 data points
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  • 90
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    Benthic-Planktic 14C offsets of sediment core TAN1106-28 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: AGE; Benthic-Planktic 14C offset; Benthic-Planktic 14C offset, standard deviation; biogeochemistry; DEPTH, sediment/rock; dust; Export Production; iron fertilization; Millennial scale variability; Southern Ocean; SST; TAN1106; TAN1106/28; Tangaroa
    Type: Dataset
    Format: text/tab-separated-values, 14 data points
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  • 91
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    List of tie points used to create the revised composite depth record for ODP Hole 175-1085A and 175-1085B (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: 175-1085A; 175-1085B; Benguela Current, South Atlantic Ocean; Date/Time of event; Depth, composite revised; Depth, logging; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Event label; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Leg175; Longitude of event; Reference/source; Sample code/label; Sample comment
    Type: Dataset
    Format: text/tab-separated-values, 921 data points
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  • 92
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    Nannofossil counts from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: 175-1085A; 175-1085B; Amaurolithus delicatus; Amaurolithus primus; Benguela Current, South Atlantic Ocean; Calcidiscus macintyrei; Ceratolithus acutus; Ceratolithus atlanticus; Ceratolithus cristatus; Counting; Date/Time of event; Depth, composite revised; DEPTH, sediment/rock; Discoaster asymmetricus; Discoaster berggrenii; Discoaster brouweri; Discoaster hamatus; Discoaster pentaradiatus; Discoaster quinqueramus; Discoaster tamalis; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Event label; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Leg175; Longitude of event; Nickilithus amplificus; Orthorhabdus rugosus; Reticulofenestra pseudoumbilicus; Sample code/label; Sphenolithus moriformis
    Type: Dataset
    Format: text/tab-separated-values, 1710 data points
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  • 93
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    Benthic foraminifera assemblages from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: 175-1085A; 175-1085B; Abditodentrix pseudothalmanni; Age; Alabaminella weddellensis; Anomalinoides globulosus; Anomalinoides spp.; Benguela Current, South Atlantic Ocean; Bolivina spathulata; Bolivina spp.; Bolivina subaenariensis; Bulimina elongata; Bulimina spp.; Bulimina striata; Bulimina truncana; Cassidulina carapitana; Cassidulina carinata; Cassidulina havanensis; Cassidulina laevigata; Cassidulina minuta; Cassidulina sp.; Cassidulina spp.; Cibicides lobatulus; Cibicidoides bradyi; Cibicidoides cf. alazanensis; Cibicidoides cf. grimsdalei; Cibicidoides cf. pachyderma; Cibicidoides cicatricosus; Cibicidoides micrus; Cibicidoides mundulus; Cibicidoides robertsonianus; Cibicidoides spp.; Cibicidoides wuellerstorfi; Counting; Date/Time of event; Depth, composite revised; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Eggerella bradyi; Ehrenbergina carinata; Ehrenbergina glabra; Elevation of event; Epistominella exigua; Event label; Fissurina spp.; Foraminifera, benthic agglutinated; Frondicularia sp.; Gaudryina sp.; Gavelinopsis lobatulus; Globobulimina spp.; Globocassidulina crassa; Globocassidulina subglobosa; Gyroidinoides orbicularis; Gyroidinoides planulatus; Gyroidinoides soldanii; Gyroidinoides spp.; Hanzawaia ammophila; Hoeglundina elegans; IODP Depth Scale Terminology; Joides Resolution; Karreriella bradyi; Lagena spp.; Laticarinina altocamerata; Laticarinina pauperata; Latitude of event; Leg175; Lenticulina spp.; Longitude of event; Melonis barleeanus; Melonis pompilioides; Melonis spp.; Miliolidae; Nodosariidae; Nonionella spp.; Nonion spp.; Nuttallides umbonifera; Nuttallinella sp.; Obesopleurostomella bierigi; Oridorsalis umbonatus; Osangularia culter; Osangularia spp.; Pleurostomella spp.; Polymorphinidae; Pullenia bulloides; Pullenia quinqueloba; Pyrgo lucernula; Pyrgo murrhina; Quinqueloculina sp.; Rectuvigerina multicostata; Sample code/label; Sigmoilina schlumbergeri; Sphaeroidina bulloides; Spiroplectammina spectabilis; Spirosigmoilina spp.; Stilostomellidae; Textularia lythostrota; Textularia spp.; Uvigerina occidentalis; Uvigerina peregrina; Uvigerina proboscidea; Vulvulina sp.
    Type: Dataset
    Format: text/tab-separated-values, 2871 data points
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  • 94
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    Relative cluster abundance of benthic foraminifera from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: 175-1085A; 175-1085B; Abditodentrix pseudothalmanni; Age; Alabaminella weddellensis; Benguela Current, South Atlantic Ocean; Bolivina spathulata; Bolivina subaenariensis; Bulimina elongata; Bulimina striata; Bulimina truncana; Calculated; Cassidulina carapitana; Cibicidoides bradyi; Cibicidoides mundulus; Cibicidoides wuellerstorfi; Cluster; Cluster analysis; Date/Time of event; Depth, composite revised; DEPTH, sediment/rock; Diversity; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Epistominella exigua; Event label; Fishers alpha index of diversity; Foraminifera, benthic, dysoxic/suboxic group; Foraminifera, benthic, epifaunal; Foraminifera, benthic, infaunal; Foraminifera, benthic, oxic fauna; Foraminifera, benthic agglutinated; Foraminifera, benthic calcareous; Globocassidulina crassa; Globocassidulina subglobosa; Hoeglundina elegans; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Leg175; Longitude of event; Melonis barleeanus; Nuttallides umbonifera; Oridorsalis umbonatus; Relative abundance (counted and calculated); Sample code/label; Uvigerina occidentalis; Uvigerina peregrina; Uvigerina proboscidea
    Type: Dataset
    Format: text/tab-separated-values, 1221 data points
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  • 95
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    Age model from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Description: We used the positions of the calcareous nannofossil events from this study, combined with shipboard data, as tie-points to develop the age model between 526.87 and 182.00 m. Between two successive tie-points, the sedimentation rate was assumed constant. The time scale used is the Geological Time Scale 2020 (GTS2020; Raffi et al. (2020, doi:10.1016/B978-0-12-824360-2.00029-2)) and is based on calcareous nannofossil biochronology provided in GTS2020.
    Keywords: 175-1085A; 175-1085B; Age; Age, error; Benguela Current, South Atlantic Ocean; Date/Time of event; Depth, composite revised; Depth, error; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Event label; Event layer type; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Leg175; Longitude of event; Provenance/source; Reference/source; Sample code/label; Sample code/label 2; see description in data abstract
    Type: Dataset
    Format: text/tab-separated-values, 153 data points
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  • 96
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    Carbonate mass accumulation rates from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Description: Carbonate mass accumulation rates (MARCarb) were calculated for Site 1085 following successive steps: first, we derived the carbonate content of our samples from Diester-Haass et al. (2004, doi:10.1029/2003PA000933) data using linear interpolation between 542.45 and 149.00 m. Secondly, we calculated the carbonate mass accumulation rates (MARCarb, expressed as g/m²/ka) for each sample, using the LSR (cm/ka) obtained, and the calcium carbonate content (wt% CaCO3) and the dry bulk density (DBD, g/cm3) interpolated from Diester-Haass et al. (2004). We applied the formula: MARCarb = %wtCaCO₃ * LSR * DBD. MARCarb from this study has been plotted with MARCarb from Diester-Haass et al. (2004), recalibrated using our age model.
    Keywords: 175-1085A; 175-1085B; Accumulation rate, calcium carbonate; Age; AGE; Benguela Current, South Atlantic Ocean; Calcium carbonate; Date/Time of event; Density, dry bulk; Depth, composite revised; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Event label; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Leg175; Linear sedimentation rate; Longitude of event; Sample code/label; see description in data abstract
    Type: Dataset
    Format: text/tab-separated-values, 231 data points
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  • 97
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    Unknown
    Accumulation rates of benthic foraminifera from ODP Site 175-1085 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-27
    Keywords: 175-1085A; 175-1085B; Accumulation rate, benthic foraminifera by number; Accumulation rate, calcareous benthic foraminifera by number; Age; Benguela Current, South Atlantic Ocean; Calculated (Herguera and Berger, 1991); Counted; Counting 〉63 µm fraction; Date/Time of event; Density, dry bulk; Depth, composite revised; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Elevation of event; Event label; Foraminifera, benthic; Foraminifera, benthic, wet mass; IODP Depth Scale Terminology; Joides Resolution; Latitude of event; Leg175; Linear sedimentation rate; Longitude of event; Sample code/label; Weighted
    Type: Dataset
    Format: text/tab-separated-values, 396 data points
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  • 98
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    Elemental composition of volcanic glass shards of sediment core DP30PC section 8, Gulf of Taranto (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Volcanic glass shards have been selected from core DP30PC section 8, collected in the southeast Gulf of Taranto to establish a robust tephra chronology. In the core 4 Cryptotephras are observed. Selected glass shards from these Tephras contain elemental signals typical for Lipari outbreaks as well as of the Somma-Vesuvius.
    Keywords: 64PE297; Aluminium oxide; Calcium oxide; Center for Marine Environmental Sciences; Date; DEPTH, sediment/rock; DP30PC; elements; Elements, total; Iron oxide, FeO; Magnesium oxide; Manganese oxide; MARUM; Mediterranean; Normalized to VG-568 standard and to 100 wt% volatile-free; PC; Pelagia; Phosphorus pentoxide; Piston corer; Potassium oxide; Roman Climate Optimum; Sample comment; Sample ID; Silicon dioxide; Sodium and Potassium oxide; Sodium oxide; Titanium dioxide; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 1170 data points
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  • 99
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    Meteorological synoptical observations from station Syowa (2022-11) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259050 data points
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  • 100
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    Radiosonde measurements from station Syowa (2022-11) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23888 data points
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