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  • Wiley  (1,037,701)
  • PANGAEA  (421,863)
  • American Institute of Physics (AIP)  (241,959)
  • American Physical Society (APS)
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  • 1
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    Dynamic species distribution models of Antarctic blue whales in the Weddell Sea using visual sighting and passive acoustic monitoring data (2024)
    Wiley
    In:  EPIC3Diversity and Distributions, Wiley, 30(1), pp. 87-105, ISSN: 1366-9516
    Details
    Publication Date: 2024-02-12
    Description: Aim: Species distribution models (SDMs) are essential tools in ecology and conservation. However, the scarcity of visual sightings of marine mammals in remote polar areas hinders the effective application of SDMs there. Passive acoustic monitoring (PAM) data provide year-round information and overcome foul weather limitations faced by visual surveys. However, the use of PAM data in SDMs has been sparse so far. Here, we use PAM-based SDMs to investigate the spatiotemporal distribution of the critically endangered Antarctic blue whale in the Weddell Sea. Location: The Weddell Sea. Methods: We used presence-only dynamic SDMs employing visual sightings and PAM detections in independent models. We compared the two independent models with a third combined model that integrated both visual and PAM data, aiming at leveraging the advantages of each data type: the extensive spatial extent of visual data and the broader temporal/environmental range of PAM data. Results: Visual and PAM data prove complementary, as indicated by a low spatial overlap between daily predictions and the low predictability of each model at detections of other data types. Combined data models reproduced suitable habitats as given by both independent models. Visual data models indicate areas close to the sea ice edge (SIE) and with low-to-moderate sea ice concentrations (SIC) as suitable, while PAM data models identified suitable habitats at a broader range of distances to SIE and relatively higher SIC. Main Conclusions: The results demonstrate the potential of PAM data to predict year-round marine mammal habitat suitability at large spatial scales. We provide reasons for discrepancies between SDMs based on either data type and give methodological recommendations on using PAM data in SDMs. Combining visual and PAM data in future SDMs is promising for studying vocalized animals, particularly when using recent advances in integrated distribution modelling methods.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 2
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    Sustainability: We need to focus on overall system outcomes rather than simplistic targets (2024)
    Wiley
    In:  EPIC3People and Nature, Wiley, ISSN: 2575-8314
    Details
    Publication Date: 2024-02-12
    Description: Many of the global challenges that confront humanity are interlinked in a dynamic complex network, with multiple feedback loops, nonlinear interactions and interdependencies that make it difficult, if not impossible, to consider individual threats in isolation. These challenges are mainly dealt with, however, by considering individual threats in isolation (at least in political terms). The mitigation of dual climate and biodiversity threats, for example, is linked to a univariate 1.5°C global warming boundary and a global area conservation target of 30% by 2030. The situation has been somewhat improved by efforts to account for interactions through multidimensional target setting, adaptive and open management and market-based decision pathways. But the fundamental problem still remains—that complex systems such as those formed by the network of global threats have emergent properties that are more than the sum of their parts. We must learn how to deal with or live with these properties if we are to find effective ways to cope with the threats, individually and collectively. Here, we argue that recent progresses in complex systems research and related fields have enhanced our ability to analyse and model such entwined systems to the extent that it offers the promise of a new approach to sustainability. We discuss how this may be achieved, both in theory and in practice, and how human cultural factors play an important but neglected role that could prove vital to achieving success. Read the free Plain Language Summary for this article on the Journal blog.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 3
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    The Arctic summer microbiome across Fram Strait: Depth, longitude, and substrate concentrations structure microbial diversity in the euphotic zone (2024)
    Wiley
    In:  EPIC3Environmental Microbiology, Wiley, 26, pp. e16568-e16568, ISSN: 1462-2912
    Details
    Publication Date: 2024-02-19
    Description: The long-term dynamics of microbial communities across geographic, hydrographic, and biogeochemical gradients in the Arctic Ocean are largely unknown. To address this, we annually sampled polar, mixed, and Atlantic water masses of the Fram Strait (2015–2019; 5–100 m depth) to assess microbiome composition, substrate concentrations, and oceanographic parameters. Longitude and water depth were the major determinants (~30%) of microbial community variability. Bacterial alpha diversity was highest in lower-photic polar waters. Community composition shifted from west to east, with the prevalence of, for example, Dadabacteriales and Thiotrichales in Arctic- and Atlantic-influenced waters, respectively. Concentrations of dissolved organic carbon peaked in the western, compared to carbohydrates in the chlorophyll-maximum of eastern Fram Strait. Interannual differences due to the time of sampling, which varied between early (June 2016/2018) and late (September 2019) phytoplankton bloom stages, illustrated that phytoplankton composition and resulting availability of labile substrates influence bacterial dynamics. We identified 10 species clusters with stable environmental correlations, representing signature populations of distinct ecosystem states. In context with published metagenomic evidence, our microbial-biogeochemical inventory of a key Arctic region establishes a benchmark to assess ecosystem dynamics and the imprint of climate change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 4
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    A temperature‐controlled, circular maintenance system for studying growth and development of pelagic tunicates (salps) (2024)
    Wiley
    In:  EPIC3Limnology and Oceanography Methods, Wiley, ISSN: 1541-5856
    Details
    Publication Date: 2024-02-29
    Description: Salps have attracted attention as zooplankton organisms that may be able to expand their habitat range and increase their ecological importance in the face of ongoing global warming. Due to their gelatinous nature, unique feeding strategy, and reproductive ecology such changes could have profound impacts on regional marine ecosystems. While their role in the regional carbon cycle is receiving attention, our knowledge of their physiology and life cycle is still limited. This knowledge gap is mainly due to their fragile gelatinous nature, which makes it difficult to capture and maintain intact specimen in the laboratory. We present here a modified kreisel tank system that has been tested onboard a research vessel with the Southern Ocean salp Salpa thompsoni and at a research station with Salpa fusiformis and Thalia democratica from the Mediterranean Sea. Successful maintenance over days to weeks allowed us to obtain relative growth and developmental rates comparable to in situ field samples of S. thompsoni and S. fusiformis, and provided insights into previously unknown features of their life cycle (e.g., testes development). Our results show that traditional methods of estimating growth, such as cohort analysis, may lead to a general overestimation of growth rates and neglect individual strategies (e.g., shrinkage), which can affect the results and conclusions drawn from population dynamic models. By providing a starting point for the successful maintenance of different species, comparable experiments on the physiology of salps is made possible. This will contribute to refining model parameters and improving the reliability of the predictions.
    Repository Name: EPIC Alfred Wegener Institut
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  • 5
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    The micro‐seismicity of Co. Donegal (Ireland): Defining baseline seismicity in a region of slow lithospheric deformation (2024)
    Wiley
    Details
    Publication Date: 2024-02-07
    Description: A catalogue of precisely located micro-seismicity is fundamental for investigating seismicity and rock physical properties in active tectonic and volcanic regions and for the definition of a ‘baseline’ seismicity, required for a safe future exploitation of georesource areas. In this study, we produce the first manually revised catalogue of micro-seismicity for Co. Donegal region (Ireland), an area of about 50K M2 of on-going deformation, aimed at localizing natural micro-seismic events occurred between 2012 and 2015. We develop a stochastic method based on a Markov chain Monte Carlo (McMC) sampling approach to compute earthquake hypocentral location parameters. Our results indicates that micro-seismicity is present with magnitudes lower than 2 (the highest magnitude is 2.8).The recorded seismicity is almost clustered along previously mapped NE-SW trending, steeply dipping faults and confined within the upper crust (focal depth less than 10 km). We also recorded anthropogenic seismicity mostly related to quarries' activity in the study area.
    Description: Published
    Description: 62-76
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 6
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    Translation, collision and vertical‐axis rotation in the Organyà and Montsec minibasins (South‐Central Pyrenees, Spain) (2024)
    Wiley
    Details
    Publication Date: 2024-02-01
    Description: This paper presents a sequentially restored cross-section of the Organyà and Montsec minibasins based on geological mapping, new field observations and available borehole data. The main objective was to describe the geometry and evolution of both basins in terms of salt tectonics and minibasin mobility. To this end, a comprehensive palaeomagnetic database has been used to constrain vertical-axis rotations potentially related to minibasin translation and pivoting. The Organyà minibasin constitutes an asymmetric depocentre formed during the Upper Jurassic-Lower Cretaceous by translation above a southerly inclined salt layer. Salt evacuation and minibasin touchdown induced salt accumulation on the northern side of the basin that culminated in the development of the major Santa Fe unconformity during the late Albian—early Cenomanian. Indicative of salt quiescence is the following isopachous Cenomanian to lower Santonian sequence Salt tectonics resumed during the late Santonian—Palaeocene, with the Montsec minibasin downbuilding coinciding with the onset of Pyrenean convergence. Changes of the base-salt topography reflects regional-scale geodynamic processes. The acceleration of crustal thinning in the North Pyrenean zone during the late Albian-early Cenomanian favoured uplift in the Axial Zone, increasing slope and triggering salt mobilization in the Southern Pyrenees. Likewise, the onset of contraction renewed the downslope gliding of the Organyà and Montsec minbasins, and supports the idea that the early stages of basin inversion were governed by gravity tectonics. The kinematic reconstruction suggests that the more that 30° counterclockwise vertical axis rotation records pivoting during the suprasalt translation of the Organyà minibasin rather than solely the Iberian microplate rotation.
    Description: Published
    Description: e12846
    Description: OSA1: Variazioni del campo magnetico terrestre, imaging crostale e sicurezza del territorio
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 7
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    Long‐term shifts in phenology, thermal niche, population size, and their interactions in marine pelagic copepods (2024)
    Wiley
    In:  EPIC3Limnology and Oceanography, Wiley, ISSN: 0024-3590
    Details
    Publication Date: 2024-02-08
    Description: Under climatic warming many species shift their seasonal timing of life cycle events (phenology) and seasonal abundance distribution, but whether they maintain the same thermal niche is still poorly understood. Here, we studied multidecadal trends in abundance and phenology of seven major copepod species across three stations (Stonehaven (SH), Helgoland Roads (HR), and Plymouth L4) on the North–West European shelf, spanning ~ 6.5° of latitude. All seven species consistently occupied colder temperatures at the northern station compared to the southerly station, but they maintained the same realized thermal niche over years. Expected phenological shifts (i.e., earlier when warmer) in some stations were obscured possibly by the long-term drop of copepod density in spring–summer, which may be due to a variation in the food/predators abundance. The ongoing spring–summer declines in abundance (~ 50%) of many North Atlantic pelagic species over the last five decades, as found in recent studies, may have also influenced the metrics of seasonal timing. To separate the seasonal timing of life events from that of seasonal abundance distribution, we used a time series of egg production rate (EPR) of Calanus helgolandicus at L4, and found that this shifted later into the summer–autumn over the last 30 yr of warming, coincident with declining spring–summer food and increasing predator abundance. Overall, direct temperature effects do appear to influence the seasonal timing of the copepods, but to explain impacts at individual stations or long-term trends in population size or phenology, understanding the changing balance of food and predators appears to be critical.
    Repository Name: EPIC Alfred Wegener Institut
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  • 8
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    A multiple baseline approach for marine heatwaves (2024)
    Wiley
    In:  EPIC3Limnology and Oceanography, Wiley, ISSN: 0024-3590
    Details
    Publication Date: 2024-02-09
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Marine heatwaves and other extreme temperature events can drive biological responses, including mass mortality. However, their effects depend on how they are experienced by biological systems (including human societies). We applied two different baselines (fixed and shifting) to a time series of North Sea water temperature to explore how slowly vs. quickly adapting systems would experience extreme temperatures. We tested if the properties of marine heatwaves and the association with atmospheric heatwaves were robust to a change in baseline. A fixed baseline produced an increase in the frequency and duration of marine heatwaves, which would be experienced as the new normal by slowly adapting systems; 7 of the 10 most severe heatwaves occurred between 1990 and 2018. The shifting baseline removed the trend in the frequency but not duration of heatwaves; the 1990s appeared as a period of change in the frequency of strong and severe heatwaves as compared to the 1980s. There were also common patterns among baselines: marine heatwaves were more frequent in late summer when temperatures peak; temperature variability was characterized by low frequency, large amplitude fluctuations (i.e., as red noise), known to drive extinction events. In addition, marine heatwaves occurred during or just after atmospheric heatwaves. Our work highlights the importance of identifying properties of marine heatwaves that are robust or contingent on a change in baseline.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 9
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    Piecing the barcoding puzzle of Palearctic water frogs (Pelophylax) sheds light on amphibian biogeography and global invasions (2024)
    Wiley
    In:  Global Change Biology vol. 30 no. e17180
    Details
    Publication Date: 2024-03-21
    Description: Palearctic water frogs (genus Pelophylax) are an outstanding model in ecology and evolution, being widespread, speciose, either threatened or threatening to other species through biological invasions, and capable of siring hybrid offspring that escape the rules of sexual reproduction. Despite half a century of genetic research and hundreds of publications, the diversity, systematics and biogeography of Pelophylax still remain highly confusing, in no small part due to a lack of correspondence between studies. To provide a comprehensive overview, we gathered 〉13,000 sequences of barcoding genes from 〉1700 native and introduced localities and built multigene mitochondrial (~17 kb) and nuclear (~10 kb) phylogenies. We mapped all currently recognized taxa and their phylogeographic lineages (〉40) to get a grasp on taxonomic issues, cyto-nuclear discordances, the genetic makeup of hybridogenetic hybrids, and the origins of introduced populations. Competing hypotheses for the molecular calibration were evaluated through plausibility tests, implementing a new approach relying on predictions from the anuran speciation continuum. Based on our timetree, we propose a new biogeographic paradigm for the Palearctic since the Paleogene, notably by attributing a prominent role to the dynamics of the Paratethys, a vast paleo-sea that extended over most of Europe. Furthermore, our results show that distinct marsh frog lineages from Eastern Europe, the Balkans, the Near East, and Central Asia (P. ridibundus ssp.) are naturally capable of inducing hybridogenesis with pool frogs (P. lessonae). We identified 14 alien lineages (mostly of P. ridibundus) over ~20 areas of invasions, especially in Western Europe, with genetic signatures disproportionally pointing to the Balkans and Anatolia as the regions of origins, in line with exporting records of the frog leg industry and the stocks of pet sellers. Pelophylax thus emerges as one of the most invasive amphibians worldwide, and deserves much higher conservation concern than currently given by the authorities fighting biological invasions.
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 10
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    Distinct bacterial succession and functional response to alginate in the South, Equatorial, and North Pacific Ocean (2024)
    Wiley
    In:  EPIC3Environmental Microbiology, Wiley, 26(3), pp. e16594-e16594, ISSN: 1462-2912
    Details
    Publication Date: 2024-03-11
    Description: The availability of alginate, an abundant macroalgal polysaccharide, induces compositional and functional responses among marine microbes, but these dynamics have not been characterized across the Pacific Ocean. We investigated alginate-induced compositional and functional shifts (e.g., heterotrophic production, glucose turnover, hydrolytic enzyme activities) of microbial communities in the South Subtropical, Equatorial, and Polar Frontal North Pacific in mesocosms. We observed that shifts in response to alginate were site-specific. In the South Subtropical Pacific, prokaryotic cell counts, glucose turnover, and peptidase activities changed the most with alginate addition, along with the enrichment of the widest range of particle-associated taxa (161 amplicon sequence variants; ASVs) belonging to Alteromonadaceae, Rhodobacteraceae, Phormidiaceae, and Pseudoalteromonadaceae. Some of these taxa were detected at other sites but only enriched in the South Pacific. In the Equatorial Pacific, glucose turnover and heterotrophic prokaryotic production increased most rapidly; a single Alteromonas taxon dominated (60% of the community) but remained low (〈2%) elsewhere. In the North Pacific, the particle-associated community response to alginate was gradual, with a more limited range of alginate-enriched taxa (82 ASVs). Thus, alginate-related ecological and biogeochemical shifts depend on a combination of factors that include the ability to utilize alginate, environmental conditions, and microbial interactions.
    Repository Name: EPIC Alfred Wegener Institut
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  • 11
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    Coupled U–Pb and 40Ar/39Ar chronology of late‐stage intrusions at Elba Island (Italy) supports late Miocene long‐lived magma reservoirs in the Tyrrhenian upper crust (2024)
    Wiley
    Details
    Publication Date: 2024-03-12
    Description: The late Miocene Monte Capanne and Porto Azzurro plutons are investigated by means of coupled U-Pb zircon and 40Ar/39Ar white mica dating to test the occurrence of long-lived magmatic systems in the upper crust. Zircon crystallized for 〉 1 Myr in both plutonic systems, with supersolidus conditions overlapping for ~220 kyr indicating previously unrecognized co-existence of the two reservoirs. The development of the Porto Azzurro high T-aureole is post-dated by continuous igneous zircon crystallization until ~ 6.0 Ma. By linking crystallization to post-emplacement cooling of late-stage pulses in both western and eastern Elba we constrain long-lived sizeable reservoirs (possibly the same reservoir) in the Tyrrhenian upper crust between ~8 and 6 Ma.
    Description: In press
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: 40Ar/39Ar white mica dating ; Elba Island ; long-lived magma reservoirs ; U–Pb zircon dating ; MioceneTyrrhenian crust ; upper crustal granites ; 04. Solid Earth
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 12
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    Epizoic yellow sponge (Poecilosclerida, Demospongiae) expansion on living Scleractinian corals in Bintan, Riau Archipelago, Indonesia (2024)
    Wiley
    In:  Marine Ecology vol. 2024 no. e12796
    Details
    Publication Date: 2024-03-14
    Description: Coral reef ecosystems in Indonesia are under threat due to changes in the environment driven by global climate change, along with local disturbances such as sedimentation and eutrophication. Consequently, comprehensive coral reef monitoring \nactivities have been initiated at numerous locations across Indonesia. In this study, the \nfindings from coral reef health surveys across 14 reef sites (within 40 hectares) in the \nBintan area (Riau Archipelago, Indonesia; 100\xe2\x80\x89km southeast of Singapore) revealed a \npotentially novel epizoic yellow sponge species (Phorbas sp.) that overgrows coral colonies. This species, tentatively classified as a new Phorbas sp. (order Poecilosclerida: \nfamily Hymedesmiidae), was identified through a combined approach employing classical taxonomic methods along with DNA barcoding using the cytochrome c oxidase \nI (COI) gene. At every site, three permanent 20-m transects were established to annually monitor live coral coverage and species composition between 2014 and 2017. \nThe survey indicated a notable change in the overall coral cover during this period. \nThe abundance of coral diseases was investigated in 2014 and 2017. Additionally, the \nprogress of Phorbas sp., was closely monitored (i.e., every second day for one week) \nat Bintan Island (site 11) during the dry season in August 2017. This approach aimed \nto approximate the relative impact of each incident on the coral\'s condition. The results indicated that the most comprehensive change occurred due to the overgrowth \nof Phorbas sp., which affected 12 scleractinian coral species across eight genera in \nalmost all sites except one. The abundance of this epizoic sponge infestation was \nhighest at Pulau Beralas Pasir (site 10), constituting 22.9% of all recorded life forms, \nand lowest at Pulau Pangkil-Besar (site 13), with only 0.7%. The expansion of the thin \nyellow sponge tissue was estimated to increase by up to 0.51\xe2\x80\x89\xc2\xb1\xe2\x80\x890.48\xe2\x80\x89cm2 \n per day on \nPorites coral.
    Keywords: coral disease ; coral health ; expansion progress ; novel sponge ; yellow band disease
    Repository Name: National Museum of Natural History, Netherlands
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  • 13
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    Geography and ecology shape the phylogenetic composition of Amazonian tree communities (2024)
    Wiley
    In:  Journal of Biogeography vol. 2024 no. 14816
    Details
    Publication Date: 2024-03-31
    Description: Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2= 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2= 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (〉66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions.
    Keywords: community assembly ; dispersal limitation ; environmental selection ; evolutionary principal ; component analysis ; indicator lineage analysis ; Moran's eigenvector maps ; neotropics ; Niche ; conservatism ; tropical rain forests
    Repository Name: National Museum of Natural History, Netherlands
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  • 14
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    The second most abundant dinophyte in the ponds of a botanical garden is a species new to science (2024)
    Wiley
    In:  EPIC3Journal of Eukaryotic Microbiology, Wiley, 71(2), pp. e13015-e13015, ISSN: 1066-5234
    Details
    Publication Date: 2024-04-08
    Description: In the microscopy realm, a large body of dark biodiversity still awaits to be uncovered. Unarmoured dinophytes are particularly neglected here, as they only present inconspicuous traits. In a remote German locality, we collected cells, from which a monoclonal strain was established, to study morphology using light and electron microscopy and to gain DNA sequences from the rRNA operon. In parallel, we detected unicellular eukaryotes in ponds of the Botanical Garden Munich-Nymphenburg by DNA-metabarcoding (V4 region of the 18S rRNA gene), weekly sampled over the course of a year. Strain GeoK*077 turned out to be a new species of Borghiella with a distinct position in molecular phylogenetics and characteristic coccoid cells of ovoid shape as the most important diagnostic trait. Borghiella ovum, sp. nov., was also present in artificial ponds of the Botanical Garden and was the second most abundant dinophyte detected in the samples. More specifically, Borghiella ovum, sp. nov., shows a clear seasonality, with high frequency during winter months and complete absence during summer months. The study underlines the necessity to assess the biodiversity, particularly of the microscopy realm more ambitiously, if even common species such as formerly Borghiella ovum are yet unknown to science.
    Repository Name: EPIC Alfred Wegener Institut
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  • 15
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    A review of the tectonic, volcanological and hazard history of Vulcano (Aeolian Islands, Italy) (2024)
    Wiley
    Details
    Publication Date: 2024-04-08
    Description: Vulcano is one of the seven volcanic islands composing the Aeolian Islands archipelago (Southern Italy), which also includes three other active volcanoes. The island was orig-inally a stratovolcano like Stromboli; afterwards, its shape turned towards a complex structure composed of several volcanic landforms of different sizes. This is due to the great variability of the tectonic and volcanic phenomena, presently showing a volcano made by two calderas, a lava dome complex and two small active cones. The largest of them is the tuff cone of La Fossa, hosted in the middle of a 3- km-wide caldera struc-ture (La Fossa caldera), whose borders are visible on the southern and western sides of the island. Its last eruption occurred in 1888–1890. At present, Vulcano is charac-terized by weak shallow seismicity and intense fumarolic activity mainly concentrated within the crater of the La Fossa cone and along its rims during a recent unrest phase started in 2021, and measured with a multiparametric monitoring network.
    Description: Published
    Description: 471-487
    Description: OSV4: Preparazione alle crisi vulcaniche
    Description: JCR Journal
    Keywords: Aeolian Islands, Vulcano ; multihazard ; plumbing system ; unrest ; volcanic history ; stratigraphy ; tectonics ; 04.08. Volcanology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 16
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    Destructive fishing: An expert‐driven definition and exploration of this quasi‐concept (2024)
    Wiley
    In:  EPIC3Conservation Letters, Wiley, ISSN: 1755-263X
    Details
    Publication Date: 2024-04-17
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉Numerous policy and international frameworks consider that “destructive fishing” hampers efforts to reach sustainability goals. Though ubiquitous, “destructive fishing” is undefined and therefore currently immeasurable. Here we propose a definition developed through expert consultation: “Destructive fishing is any fishing practice that causes irrecoverable habitat degradation, or which causes significant adverse environmental impacts, results in long‐term declines in target or nontarget species beyond biologically safe limits and has negative livelihood impacts.” We show strong stakeholder support for a definition, consensus on many biological and ecological dimensions, and no clustering of respondents from different sectors. Our consensus definition is a significant step toward defining sustainable fisheries goals and will help interpret and implement global political commitments which utilize the term “destructive fishing.” Our definition and results will help reinforce the Food and Agricultural Organization's Code of Conduct and meaningfully support member countries to prohibit destructive fishing practices.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
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  • 17
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    Spatially heterogeneous shifts in vegetation phenology induced by climate change threaten the integrity of the avian migration network (2024)
    Wiley
    In:  Global Change Biology vol. 30 no. e17148
    Details
    Publication Date: 2024-04-22
    Description: Phenological responses to climate change frequently vary among trophic levels, which can result in increasing asynchrony between the peak energy requirements of consumers and the availability of resources. Migratory birds use multiple habitats with seasonal food resources along migration flyways. Spatially heterogeneous climate change could cause the phenology of food availability along the migration flyway to become desynchronized. Such heterogeneous shifts in food phenology could pose a challenge to migratory birds by reducing their opportunity for food availability along the migration path and consequently influencing their survival and reproduction. We develop a novel graph-based approach to quantify this problem and deploy it to evaluate the condition of the heterogeneous shifts in vegetation phenology for 16 migratory herbivorous waterfowl species in Asia. We show that climate change-induced heterogeneous shifts in vegetation phenology could cause a 12% loss of migration network integrity on average across all study species. Species that winter at relatively lower latitudes are subjected to a higher loss of integrity in their migration network. These findings highlight the susceptibility of migratory species to climate change. Our proposed methodological framework could be applied to migratory species in general to yield an accurate assessment of the exposure under climate change and help to identify actions for biodiversity conservation in the face of climate-related risks.
    Keywords: bird migration ; climate change ; graph-based approach ; heterogeneous shifts ; network integrity ; phenological asynchrony ; vegetation phenology
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 18
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    Testing the deep‐sea glacial disturbance hypothesis as a cause of low, present‐day Norwegian Sea diversity and resulting steep latitudinal diversity gradient, using fossil records (2024)
    Wiley
    In:  EPIC3Global Ecology and Biogeography, Wiley, ISSN: 1466-822X
    Details
    Publication Date: 2024-04-24
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:sec〉〈jats:title〉Aim〈/jats:title〉〈jats:p〉Within the intensively‐studied, well‐documented latitudinal diversity gradient, the deep‐sea biodiversity of the present‐day Norwegian Sea stands out with its notably low diversity, constituting a steep latitudinal diversity gradient in the North Atlantic. The reason behind this has long been a topic of debate and speculation. Most prominently, it is explained by the deep‐sea glacial disturbance hypothesis, which states that harsh environmental glacial conditions negatively impacted Norwegian Sea diversities, which have not yet fully recovered. Our aim is to empirically test this hypothesis. Specific research questions are: (1) Has deep‐sea biodiversity been lower during glacials than during interglacials? 〈jats:italic〉(〈/jats:italic〉2) Was there any faunal shift at the Mid‐Brunhes Event (MBE) when the mode of glacial–interglacial climatic change was altered?〈/jats:p〉〈/jats:sec〉〈jats:sec〉〈jats:title〉Location〈/jats:title〉〈jats:p〉Norwegian Sea, deep sea (1819–2800 m), coring sites MD992277, PS1243, and M23352.〈/jats:p〉〈/jats:sec〉〈jats:sec〉〈jats:title〉Time period〈/jats:title〉〈jats:p〉620.7–1.4 ka (Middle Pleistocene–Late Holocene).〈/jats:p〉〈/jats:sec〉〈jats:sec〉〈jats:title〉Taxa studied〈/jats:title〉〈jats:p〉Ostracoda (Crustacea).〈/jats:p〉〈/jats:sec〉〈jats:sec〉〈jats:title〉Methods〈/jats:title〉〈jats:p〉We empirically test the deep‐sea glacial disturbance hypothesis by investigating whether diversity in glacial periods is consistently lower than diversity in interglacial periods. Additionally, we apply comparative analyses to determine a potential faunal shift at the MBE, a Pleistocene event describing a fundamental shift in global climate.〈/jats:p〉〈/jats:sec〉〈jats:sec〉〈jats:title〉Results〈/jats:title〉〈jats:p〉The deep Norwegian Sea diversity was not lower during glacial periods compared to interglacial periods. Holocene diversity was exceedingly lower than that of the last glacial period. Faunal composition changed substantially between pre‐ and post‐MBE.〈/jats:p〉〈/jats:sec〉〈jats:sec〉〈jats:title〉Main conclusions〈/jats:title〉〈jats:p〉These results reject the glacial disturbance hypothesis, since the low glacial diversity is the important precondition here. The present‐day‐style deep Norwegian Sea ecosystem was established by the MBE, more specifically by MBE‐induced changes in global climate, which has led to more dynamic post‐MBE conditions. In a broader context, this implies that the MBE has played an important role in the establishment of the modern polar deep‐sea ecosystem and biodiversity in general.〈/jats:p〉〈/jats:sec〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 19
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    Anaerobic respiration in a boreal wetland and surrounding habitats, across a hydrological transect. (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-11
    Description: This dataset reports measurements from a laboratory incubation of soils sourced from a boreal peatland and surrounding habitats (Siikaneva Bog, Finland). In August 2021, soil cores were collected from three habitat zones: a well-drained upland forest, an intermediate margin ecotone, and a Sphagnum moss bog. The cores from each habitat were taken from surface to approximately 50cm below surface using an Eijelkamp peat corer and subdivided by soil horizon. The samples were then incubated anaerobically for 140 days in three temperature treatment groups (0, 4, 20°C). Subsamples of the incubations headspace (250 µL) were measured on a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID) for CO2 and CH4 concentrations. The rate of respiration from the samples were calculated per gram carbon and per gram soil as described in the method of Robertson., et al. (1999) and reported here, along with other relevant parameters.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 20
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    Data collection of the sediment core MR16-09_PC03 in the Southeast Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-08
    Type: info:eu-repo/semantics/workingPaper
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  • 21
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    Biomass of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 22
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    Density of herbivorous fishes of the Gulf of California (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 23
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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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  • 24
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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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  • 25
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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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  • 26
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    Concentrations and carbon isotopic composition of suspended particulate matter and dissolved organic matter in Lena River and Central Siberian Rivers, 2010-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: Concentrations of particulate and dissolved organic carbon from water samples collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon.
    Keywords: AWI Arctic Land Expedition; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, particulate/Nitrogen, particulate ratio; CARBOPERM; Comment; Cruise/expedition; d13C; D14C; DATE/TIME; DEPTH, water; DOC; Event label; Formation, turnover and release of carbon in Siberian permafrost landscapes; Kochechum_River; Kochechum River; L10-05; L10-10; L11-06; L11-08/09; L11-10/11; L11-12/13; L11-14/15; L14-01; L14-03; L14-05; L14-06; L14-07; L14-14; L14-16; L14-17; L14-18; L14-19; L14-22; L14-27; L14-29; L14-K1; L14-K2; L14-K3; L14-K4; Laboratory code/label; LATITUDE; Lena2010; Lena2011; LONGITUDE; N_Tunguska_River; Nizhnyaya Tunguska River at Tura; POC; Reference/source; RU-Land_2010_Lena; RU-Land_2010_Lena-L10-05; RU-Land_2010_Lena-L10-10; RU-Land_2011_Lena; RU-Land_2011_Lena-L11-06; RU-Land_2011_Lena-L11-08/09; RU-Land_2011_Lena-L11-10/11; RU-Land_2011_Lena-L11-12/13; RU-Land_2011_Lena-L11-14/15; RU-Land_2014_Lena; RU-Land_2014_Lena-L14-01; RU-Land_2014_Lena-L14-03; RU-Land_2014_Lena-L14-05; RU-Land_2014_Lena-L14-06; RU-Land_2014_Lena-L14-07; RU-Land_2014_Lena-L14-14; RU-Land_2014_Lena-L14-16; RU-Land_2014_Lena-L14-17; RU-Land_2014_Lena-L14-18; RU-Land_2014_Lena-L14-19; RU-Land_2014_Lena-L14-22; RU-Land_2014_Lena-L14-27; RU-Land_2014_Lena-L14-29; RU-Land_2014_Lena-L14-K1; RU-Land_2014_Lena-L14-K2; RU-Land_2014_Lena-L14-K3; RU-Land_2014_Lena-L14-K4; Sample ID; Water sample; WS; Δ14C, dissolved organic carbon; Δ14C, particulate organic carbon; Δ14C, particulate organic carbon, standard deviation; Δ14C, standard deviation; δ13C, dissolved organic carbon; δ13C, dissolved organic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 411 data points
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  • 27
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    Composition and age of suspended particulate and dissolved organic matter in the Lena River and Central Siberian Rivers, 2002-2014 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-04
    Description: This data set consists of isotopic and molecular information obtained from samples of particulate and dissolved organic matter collected throughout the ice-free season in the Lena River Delta, supplemented with samples from Central Siberian Rivers Kochechum and Nizhnyaya Tunguska. Particulate samples were obtained by filtering water through pre-combusted glass-fibre filters, dissolved organic matter was studied in the filtrate. Molar concentration ratios of organic carbon to nitrogen in particulate samples are additionally reported as well as stable carbon isotopic composition (δ13C in ‰ VPDB) and radiocarbon content (∆14C in ‰) of particulate and dissolved organic carbon. Concentrations of long-chain n-alkanes (n-C17 to n-C33) in suspended particulate matter samples collected on glass-fibre filters in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW. Contents of long-chain n-alkanes (n-C17 to n-C33) in soil samples as well as particles settled from a large-volume water sample collected in the Lena Delta. The data set also contains stable hydrogen isotopic composition (δD) of odd-chain n-alkanes n-C23 to n-C31 expressed in permille relative to VSMOW.
    Keywords: Biomarkers; CARBOPERM; d13C; D14C; DOC; Formation, turnover and release of carbon in Siberian permafrost landscapes; POC
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 28
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203280801 (RF05) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220328_P6_RF05; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203280801; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 6694 data points
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  • 29
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203260702 (RF04) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220326_P6_RF04; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203260702; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 11906 data points
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  • 30
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203290901 (RF06) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220329_P6_RF06; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203290901; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 26012 data points
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  • 31
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203200401 (RF01) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220320_P6_RF01; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203200401; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 16414 data points
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  • 32
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204011101 (RF08) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220401_P6_RF08; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204011101; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20114 data points
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  • 33
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2204101601 (RF13) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220410_P6_RF13; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2204101601; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 20356 data points
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  • 34
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    Aircraft measurements of refractory black carbon in the Arctic during flight P6_231_HALO_2022_2203301001 (RF07) of the HALO-(AC)³ campaign 2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Keywords: AC; AC3; aerosol; Aircraft; Arctic; Arctic Amplification; black carbon; Black carbon, refractory, aerosol; Black carbon, refractory, aerosol number concentration; CVI; DATE/TIME; Flag; Flight altitude; HALO - (AC)3; HALO-(AC)³; HALO-AC3_20220330_P6_RF07; LATITUDE; LONGITUDE; P6_231_HALO_2022; P6_231_HALO_2022_2203301001; Polar 6; POLAR 6; Single Particle Soot Photometer (SP2); SP2
    Type: Dataset
    Format: text/tab-separated-values, 23834 data points
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  • 35
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    Bihourly temperature and humidity measurements in the Abracurrie cave on the Nullarbor Plain, Australia (2021-2023) (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-03
    Description: We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).
    Keywords: Abracurrie Cave; ASF-3; Australia; cave; cave climate; Comment; Date/Time local; humidity; Humidity, relative; Nullarbor Plain; Nullarbor Plain, Australia; Temperature; Temperature, air; Temperature and Humidity Data Logger, Gemini Data Loggers, Tinytag Plus 2 TGP-4500
    Type: Dataset
    Format: text/tab-separated-values, 27119 data points
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  • 36
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    Multi sensor core logging data of sediment core GeoB24001-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24001-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_6-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 6682 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 37
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    Multi sensor core logging data of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24006-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 1102 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 38
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    Multi sensor core logging data of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24011-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 4903 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 39
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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
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 40
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    X-ray fluorescence core scanning data of sediment core GeoB24001-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24001-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_6-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 34488 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 41
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    X-ray fluorescence core scanning data of sediment core GeoB24004-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24004-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_11-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 1152 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 42
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    X-ray fluorescence core scanning data of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24006-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 5200 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
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    X-ray fluorescence core scanning data of sediment core GeoB24008-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24008-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_15-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 2628 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
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    X-ray fluorescence core scanning data of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: X-ray fluorescence (XRF) core scanning data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen. XRF scanning was done on the split surface of the sediment cores to obtain the elemental composition from Aluminium to Uranium in order to geochemically characterise the bulk sediment composition. Cores were scanned with XRF core scanner III at MARUM University Bremen 09.12.2020 – 15.12.2020 and 23.-27.08.2021 using three runs (10kV, 30 kV and 50 kV). The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments.
    Keywords: Aluminium, area, total counts; Barium, area, total counts; Barium/Strontium ratio; Bromine, area, total counts; Calcium, area, total counts; Calcium/Strontium ratio; Center for Marine Environmental Sciences; Copper, area, total counts; data; DATE/TIME; DEPTH, sediment/rock; GC; GeoB24011-1; Gravity core; Gravity corer; Iron, area, total counts; Kerguelen Plateau Sediment Drifts; Lead, area, total counts; Manganese, area, total counts; MARUM; Molybdenum, area, total counts; Niobium, area, total counts; Phosphorus, area, total counts; Potassium, area, total counts; Rubidium, area, total counts; RV Sonne cruise SO272; Section; Section position; Silicon, area, total counts; Silicon/Iron ratio; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean; Strontium, area, total counts; Sulfur, area, total counts; Time, live; Time, real; Titanium, area, total counts; X-ray fluorescence core scanner (XRF) III, Bremen; XRF core scanner data; Zirconium, area, total counts
    Type: Dataset
    Format: text/tab-separated-values, 25344 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 45
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    Lightness data extracted from core images of sediment core GeoB24003-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24003-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_10-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 95274 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
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    Lightness data extracted from core images of sediment core GeoB24005-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24005-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_12-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 30276 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
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    Lightness data extracted from core images of sediment core GeoB24006-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24006-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_13-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 51708 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 48
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    Lightness data extracted from core images of sediment core GeoB24007-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24007-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_14-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 48828 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 49
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    Lightness data extracted from core images of sediment core GeoB24009-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24009-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_16-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 81342 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 50
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    Lightness data extracted from core images of sediment core GeoB24011-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24011-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_19-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 216774 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 51
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    Lightness data extracted from core images of sediment core GeoB24008-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Field data: Lightness data extracted from core images of gravity corer sediments collected during project Kerguelen Plateau Sediment Drifts with RV Sonne Cruise SO272 in February and March 2020. Red, Green, Blue, Hue, Saturation, Lightness data were extracted from a 5 cm long and 0.2 mm wide area in the core center using the IGOR PRO software. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. Lightness data were extracted to characterise the color of the sediment and document changes.
    Keywords: Center for Marine Environmental Sciences; Color, Hue; Color, L*, lightness; Color BLUE; Color GREEN; Color RED; DEPTH, sediment/rock; field data; GC; GeoB24008-1; Gravity core; Gravity corer; IGOR Pro software; Kerguelen Plateau Sediment Drifts; Lightness; MARUM; RV Sonne cruise SO272; Saturation; SO272; SO272_15-1; Sonne_2; Southern Indian Ocean
    Type: Dataset
    Format: text/tab-separated-values, 49620 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 52
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    Multi sensor core logging data of sediment core GeoB24003-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24003-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_10-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 2196 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 53
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    Multi sensor core logging data of sediment core GeoB24009-1 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: Multi sensor core logging (MSCL) data from gravity cores retrieved during RV SONNE Cruise SO272 generated at MARUM University Bremen; cores 24001-1, 24003-1, 24006-1, 24009-1, 24011-1. Data: CoreThickness, PwaveAmplitude, PWaveVelocity in m per second, GammaRayAttenuation Density in g per CC, Magnetic Susceptibility in SI10^-5. The gravity cores were retrieved from the Labuan and Gaggatt Basin spanning Plio-Pleistocene to Eocene sediments. MSCL data were generated at 1 cm steps at MARUM using a GEOTEK Multi-Sensor Core Logger, a automated system for measuring bulk density (GRA density), P-wave velocity and magnetic susceptibility at whole and split cores of sediment, in September and Oktober 2021. MSCL Data were obtained to characterise the physical properties of the sediment.
    Keywords: Center for Marine Environmental Sciences; data; Density, wet bulk; DEPTH, sediment/rock; GC; GeoB24009-1; Gravity corer; Kerguelen Plateau Sediment Drifts; Magnetic susceptibility, volume; MARUM; Multi-Sensor Core Logger (MSCL), GEOTEK; Multi sensor core logging data; RV Sonne cruise SO272; Section; Section position; SO272; SO272_16-1; Sonne_2; Southern Indian Ocean; Thickness; Velocity, compressional, amplitude; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 1883 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 54
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    Water record of Magallana angulata F2 generation exposed to transgenerational ocean acidification during laboratory experiments in 2021/2022 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The basic observed water characteristics (pH, temperature, salinity) of Magallana angulata (also known as Crassostrea angulata) F2 generation from larval stage to adult in the hatchery located in Zhanjiang, China (21.07°N, 110.74°E) for around one year. The F2 larvae were acquired by artificial fertilization of matured F1 generation (F1_8.1-7.4 and F1_7.4-8.1). Embryos from F1_8.1-7.4 were separated into two pH levels: F2_8.1-7.4-8.1 and F2_8.1-7.4-7.4. The embryos from F1_7.4-8.1 were separated into two pH levels: F2_7.4-8.1-8.1 and F2_7.4-8.1-7.4. There were four treatments for F2 generation and reared till 2022 to test the transgenerational OA effects on oyster biological responses. Low pH was driven by bubbling of CO2-enriched air mixed with ambient air into filter seawater in the treatment tanks. pH and temperature were monitored daily with pH meter (Mettler Toledo InLab®, Switzerland) calibrated with NBS standards. Salinity was monitored using a dual-scale refractometer (MingRui, China). The seawater was utterly changed every two days during larval stage and every week for juvenile stage.
    Keywords: Chamber number; Crassostrea angulata; Date/time end, experiment; Date/time start, experiment; Experimental treatment; HAND; Laboratory experiment; Magallana_angulata_F0; Ocean acidification; Oyster; pH meter, Mettler Toledo, Pro2Go Portable; Refractometer, Mingrui, LS10T; Salinity; Sampling by hand; Sampling date/time, experiment; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperature, water; Transgenerational effect; Treatment: pH; Type of study; Wuchuan, China
    Type: Dataset
    Format: text/tab-separated-values, 15840 data points
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  • 55
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    Calcareous nannofossil data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Blackites spp.; Bramletteius serraculoides; Calcareous nannofossils; Calcidiscus edgariae; Chiasmolithus altus; Chiasmolithus cf. altus; Chiasmolithus oamaruensis; Chiasmolithus spp.; Clausicoccus fenestratus; Clausicoccus spp.; Clausicoccus subdistichus; Coccolithus cachaoi; Coccolithus eopelagicus; Coccolithus miopelagicus; Coccolithus pelagicus; Coronocyclus nitescens; Counting, light microscope; Cribrocentrum cf. erbae; Cribrocentrum cf. reticulatum; Cribrocentrum reticulatum; Cyclicargolithus floridanus; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Dictyococcites aff. bisectus; Dictyococcites bisectus; Dictyococcites cf. filewiczii; Dictyococcites filewiczii; Dictyococcites hesslandii; Dictyococcites spp.; Discoaster barbadiensis; Discoaster cf. distinctus; Discoaster deflandrei; Discoaster distinctus; Discoaster robustus; Discoaster saipanensis; Discoaster spp.; Discoaster tanii; Discoaster tanii group; Discoaster tanii nodifer; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Ericsonia formosa; Exp371; Helicosphaera bipuncta; Helicosphaera cf. huangii; Helicosphaera cf. leesiae; Helicosphaera cf. recta; Helicosphaera cf. wilcoxonii; Helicosphaera compacta; Helicosphaera euphratis; Helicosphaera lophota; Helicosphaera recta; Helicosphaera spp.; Helicosphaera wilcoxonii; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isthmolithus recurvus; Joides Resolution; Lanternithus cf. minutus; Lanternithus minutus; Lanternithus spp.; Markalius apertus; Markalius inversus; Nannofossils, reworked fossil; Placoliths; Pontosphaera cf. pulchripora; Pontosphaera spp.; Reticulofenestra daviesii; Reticulofenestra spp.; Reticulofenestra umbilicus; Sample code/label; Sample ID; Sphenolithus akropodus; Sphenolithus cf. intercalaris; Sphenolithus cf. predistentus; Sphenolithus cf. spiniger; Sphenolithus cf. tribulosus; Sphenolithus distentus; Sphenolithus intercalaris; Sphenolithus moriformis group; Sphenolithus predistentus; Sphenolithus predistentus-distentus; Sphenolithus sp.; Sphenolithus spp.; Sphenolithus tribulosus; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; Thoracosphaera spp.; Umbilicosphaera spp.; Zygrhablithus bijugatus
    Type: Dataset
    Format: text/tab-separated-values, 10912 data points
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  • 56
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    Summarized list of all heat flow determinations on RV METEOR cruise M186 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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  • 57
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    Marine heat flow data at station HF2241 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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  • 58
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    Marine heat flow data at station HF2240 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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  • 59
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    Marine heat flow data at station HF2242 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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  • 60
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    Marine heat flow data at station HF2244 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 61
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    Marine heat flow data at station HF2249 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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  • 62
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    Marine heat flow data at station HF2248 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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  • 63
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    Marine heat flow data at station HF2247 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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  • 64
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    Marine heat flow data at station HF2245 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 65
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    Marine heat flow data at station HF2246 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 66
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    Nitrogen isotope record and TOC accumulation rates of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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  • 67
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    Age model of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 68
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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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  • 69
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    Cladocera abundance from sediment core Aguas_Verdes_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Aguas_Verdes_2011; Alona quadrangularis; Alona rustica; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Aguas Verdes, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 194 data points
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  • 70
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    Cladocera abundance from sediment core Borreguil_2011 (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-31
    Keywords: Age; AGE; Alona quadrangularis; Alona rustica; Borreguil_2011; Chydorus sphaericus; Counting 〉38 µm fraction; Daphnia pulex group; DEPTH, sediment/rock; Lake Borreguil, Sierra Nevada, Spain; Sample code/label; Slide-hammer gravity corer
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 71
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    Paleo±Dust: Quantifying uncertainty in paleo-dust deposition across archive types (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-21
    Description: Paleo±Dust is an updated compilation of bulk and 〈10-µm paleo-dust deposition rate with quantitative 1-σ uncertainties that are inter-comparable among archive types (lake sediment cores, marine sediment cores, polar ice cores, peat bog cores, loess samples). Paleo±Dust incorporates a total of 285 pre-industrial Holocene (pi-HOL) and 209 Last Glacial Maximum (LGM) dust flux constraints from studies published until December 2022. We also recalculate previously published dust fluxes to exclude data from the last deglaciation and thus obtain more representative constraints for the last pre-industrial interglacial and glacial end-member climate states. Metadata include all components necessary to derive dust deposition rate, including: age range, thickness, density, eolian content. We also include 1-sigma uncertainties on each of these components, and on the final bulk and 〈10-µm dust deposition rates. Specific notes for each site and a list of references are also included.
    Keywords: Dust flux; Holocene; Ice core; Lake sediment core; Last Glacial Maximum; Loess; Marine Sediment Core; Peat bog; Uncertainty
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 72
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    Meteorological synoptical observations from station Fukuoka (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 216000 data points
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  • 73
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    Radiosonde measurements from station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 30428 data points
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  • 74
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    Radiosonde measurements from station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29847 data points
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  • 75
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    Radiosonde measurements from station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28103 data points
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  • 76
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    Radiosonde measurements from station Ishigakijima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 28491 data points
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  • 77
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    Radiosonde measurements from station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29036 data points
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  • 78
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    Basic measurements of radiation at station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 785083 data points
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  • 79
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    Meteorological synoptical observations from station Abashiri (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259040 data points
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  • 80
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    Radiosonde measurements from station Minamitorishima (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27060 data points
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  • 81
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    Meteorological synoptical observations from station Fukuoka (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; FUA; Fukuoka; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 223200 data points
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  • 82
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    Meteorological synoptical observations from station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 259200 data points
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  • 83
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    Meteorological synoptical observations from station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 192027 data points
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  • 84
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    Unknown
    Meteorological synoptical observations from station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; HYGRO; Hygrometer; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 212522 data points
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  • 85
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    Unknown
    Meteorological synoptical observations from station Abashiri (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267615 data points
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  • 86
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    Basic measurements of radiation at station Minamitorishima (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 819071 data points
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  • 87
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    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 777246 data points
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  • 88
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    Unknown
    Basic measurements of radiation at station Minamitorishima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Minamitorishima; Minami-Torishima; MNM; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090232, WRMC No. 8002; Pyranometer, Kipp & Zonen, CMP 22, SN 090102, WRMC No. 8003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090113, WRMC No. 8004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090144, WRMC No. 8001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 811380 data points
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  • 89
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    Unknown
    Basic measurements of radiation at station Abashiri (2023-07) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090203, WRMC No. 86002; Pyranometer, Kipp & Zonen, CMP22, SN 090073, WRMC No. 86003; Pyrgeometer, Kipp & Zonen, CGR4, SN 090112, WRMC No. 86004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 140044, WRMC No. 86001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 847912 data points
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  • 90
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    Unknown
    Meteorological synoptical observations from station Abashiri (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Japan; Monitoring station; MONS; Pressure, atmospheric; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267442 data points
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  • 91
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    Unknown
    Radiosonde measurements from station Abashiri (2023-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Abashiri; ABS; ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Japan; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Meisei, iMS; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 31975 data points
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  • 92
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    Unknown
    Basic measurements of radiation at station Ishigakijima (2023-09) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-21
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; ISH; Ishigakijima; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 090231, WRMC No. 4006/86006; Pyranometer, Kipp & Zonen, CMP22, SN 090101, WRMC No. 4007; Pyrgeometer, Kipp & Zonen, CGR4, SN 090114, WRMC No. 7004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 090145, WRMC No. 7001; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 758888 data points
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  • 93
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    Prokaryotic respiration and growth in Baltic and north Seas 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Data was collected in a project investigating the importance of prokaryotic maintenance respiration in the marine environment. Prokaryotic respiration, growth and abundance was measured at multiple stations encompassing three sites along the Baltic Sea gradient and North Sea. Salinity covered 3 to 30. Temperature, total dissolved phosphorus and nitrogen were also measured. Measurements were done during the late summer in August and September 2017. Data from the northern most site was collected 2015 with the same methods. Duplicate Niskin bottle samples were taken from discrete depths in surface waters covering up to 70 m depth depending on site. Prokaryotic respiration was measured in 1.2 µm pre-filtered samples using oxygen optode. Prokaryotic growth was measured by the tritiated thymidine incorporation technique in pre-filtered samples. Prokaryotic abundance was measured by acridine orange stain and direct epi-fluorescence microscopy applying image analysis. Cell-specific respiration and growth rates were calculated for evaluating influence of prokaryotic maintenance respiration. The prokaryotic growth efficiency was also estimated. Results are reported in a scientific article in Frontiers in marine Science (doi:10.3389/fmars.2023.1070070).
    Keywords: Area/locality; B1; Bacteria; Baltic Sea; Bottle, Niskin; Calculated; Carbon, organic, dissolved; Carbon per cell; Cocoa; Confidence interval; Cook's distance; CTD probe; DATE/TIME; DEPTH, water; Epifluorescence microscopy after acridine orange staining; Event label; Flag; GF1; GF2; GF3; GF4; GF5; growth; Identification; KA1; KA2; KA3; KA4; Kalmar_KA1; Kalmar_KA2; Kalmar_KA3; Kalmar_KA4; Kalmar_SB; Kalmar_SS; Kristineberg_GF1; Kristineberg_GF2; Kristineberg_GF3; Kristineberg_GF4; Kristineberg_GF5; Latitude of event; Longitude of event; maintenance; MAIRE1; MAIRE2; N11; N14; N26; N27; N28; N29; N30; N31; N6; NB8; NIS; Nitrogen, total dissolved; North Sea; nutrients; Oere_B1; Oere_N11; Oere_N14; Oere_N26; Oere_N27; Oere_N28; Oere_N29; Oere_N30; Oere_N31; Oere_N6; Oere_NB8; OPTODE; Oxygen optode; Phosphorus, total dissolved; Prokaryotes; Prokaryotes, biomass as carbon; Prokaryotes, biomass as carbon, standard deviation; Prokaryotes, growth efficiency; Prokaryotic community growth rate, in mass carbon; Prokaryotic community growth rate, standard deviation; Prokaryotic growth rate per cell; Prokaryotic growth rate per cell, standard deviation; QuAAtro AutoAnalyzer; Respiration; Respiration rate, oxygen, prokaryotic; Respiration rate, oxygen, prokaryotic, per cell; Respiration rate, oxygen, prokaryotic, standard deviation; RV Lotty; Salinity; SB; SS; Temperature, water; Thymidine incorporation
    Type: Dataset
    Format: text/tab-separated-values, 2213 data points
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  • 94
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    Mooring-based (YS05) data collected in the period May-June 2014 in Young Sound, Greenland (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series of currents, salinity (conductivity), temperature Chlorophyl-a and CDOM were obtained in the period May- June 2014 by use of a McLane ice-tethered profiler in Young Sound, Greenland. At YS05 (74.238 N, 20.188 W) the mooring consisted of a 600 kHz downward-looking Nortek Aquadopp ADCP and an SBE 52-MP CTD (accuracy temperature ±0.002 C and conductivity ±0.0003 Sm-1) and WetLab ECO triplet (Cholorphyll-a and CDOM). Velocities were corrected for magnetic deviation (18.5o). The water column sampling spanned between 1.5 and 30 m depth every 30 min. The ADCP was set to sample 80 bins (bin size of 0.5 m) and each bin consisted of a 1 min ensemble average of 60 pings. The first and last bins were centred at 1m and 41 m depth. Only bins between 2.5 and 30 m were adequately measured. For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74 N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Event label; Fluorescence, chlorophyll; Fluorescence, colored dissolved organic matter; Fluorometer, WET Labs ECO 3-Triplet; Hydrographic time series; ice-covered conditions; LATITUDE; LONGITUDE; MOOR; Moored Profiler CTD, Sea-Bird, SBE 52-MP; Mooring; Nortek Acoustic Wave and Current Profiler (AWAC); Pressure, water; Salinity; Temperature, water; Young Sound, Greenland; Young Sound-Greenland; YS05
    Type: Dataset
    Format: text/tab-separated-values, 284915 data points
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  • 95
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    CTD data collected in the period April-June 2014 in Young Sound, Greenland (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: CTD data was obtained in the period April-June 2014 in Young Sound, Greenland. CTD casts were performed using an SBE-19 plus CTD (accuracy: ±0.005 C and ±0.0005 Sm-1) which was lowered through ice-drilled holes. In total, 4 transects were performed and covered from the mouth to the head of the fjord. Standardized routines of Seabird software were used on the data set for quality control and bin averaging. The data sets consist of profiles of practical salinity, temperature, potential temperature, dissolved oxygen, fluorescence, turbidity, and irradiance (PAR). For further details see Boone et al., 2017 (Circulation and fjord-shelf exchange during the ice-covered period in Young Sound-Tyrolerfjord, Northwest Greenland (74o N). Estuar. Coast. Shelf Sci., 15, 194-205. https://doi.org/10.1016/j.ecss.2017.06.021).
    Keywords: CTD, Sea-Bird, SBE 19plus; CTD data; DATE/TIME; DEPTH, water; Event label; Fluorescence; ice-covered conditions; LATITUDE; LONGITUDE; Oxygen, dissolved; Pressure, water; Radiation, photosynthetically active; Salinity; Sample elevation; Temperature, water; Temperature, water, potential; Turbidity (Formazin Turbidity Unit); Young Sound, Greenland; Young Sound-Greenland; YS-001; YS-002; YS-003; YS-004; YS-005; YS-006; YS-007; YS-008; YS-009; YS-010; YS-011; YS-012; YS-013; YS-014; YS-015; YS-016; YS-017; YS-018; YS-019; YS-020; YS-021; YS-022; YS-023; YS-024; YS-025; YS-026; YS-027; YS-028; YS-029; YS-030; YS-031; YS-032; YS-033; YS-034; YS-035; YS-036; YS-037; YS-038; YS-039; YS-040; YS-041; YS-042; YS-043; YS-044; YS-045; YS-046; YS-047; YS-048; YS-049; YS-050; YS-051; YS-052; YS-053; YS-054; YS-055; YS-056; YS-057; YS-058; YS-059; YS-060; YS-061; YS-062; YS-063; YS-064; YS-065; YS-066; YS-067; YS-068; YS-069; YS-070; YS-071; YS-072; YS-073; YS-074; YS-075; YS-076; YS-077; YS-078; YS-079; YS-080; YS-081; YS-082; YS-083; YS-084; YS-085; YS-086; YS-087; YS-088; YS-089; YS-090; YS-091; YS-092; YS-093; YS-094; YS-095; YS-096; YS-097; YS-098; YS-099; YS-100; YS-101; YS-102; YS-103; YS-104; YS-105; YS-106; YS-107; YS-108; YS-109; YS-110; YS-111; YS-112; YS-113; YS-114; YS-115; YS-116; YS-117; YS-118; YS-119; YS-120; YS-121; YS-122; YS-123; YS-124; YS-125; YS-126; YS-127; YS-128; YS-129; YS-130; YS-131; YS-132
    Type: Dataset
    Format: text/tab-separated-values, 191889 data points
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  • 96
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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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  • 97
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    Meteorological synoptical observations from station Sonnblick (2023-09) (2024)
    PANGAEA
    In:  GeoSphere Austria
    Details
    Publication Date: 2024-02-23
    Keywords: Amount of cloud layer 1; Amount of cloud layer 2; Amount of cloud layer 3; Anemometer; Austria; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cloud base height code, layer 1; Cloud base height code, layer 2; Cloud base height code, layer 3; Cloud layer 1; Cloud layer 2; Cloud layer 3; Code; DATE/TIME; Dew/frost point; High cloud; HYGRO; Hygrometer; Low/middle cloud amount; Low cloud; Middle cloud; Monitoring station; MONS; Past weather1; Past weather2; Present weather; SON; Sonnblick; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visibility sensor; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 5309 data points
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  • 98
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    Magnetic susceptibility of sediment core MD12-3396Cq (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Anhysteretic susceptibility/magnetic susceptibility; Calypso square corer; CASQ; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; last deglaciation; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 730 data points
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  • 99
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    Mineralogical properties of sediment core MD12-3396Cq (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Keywords: 35MF20120125, OISO_21, INDIEN SUD 2; AGE; Calypso square corer; CASQ; Clay; DEPTH, sediment/rock; Diatoms; Grain size, Mastersizer S, Malvern Instrument Inc.; last deglaciation; magnetic parameters; Marion Dufresne (1995); MD12-3396Cq; MD189; mineralogic parameters; Silt; Station 6, MD189-3396
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 100
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    Current velocity data from mooring M6 on the upper continental slope, east of Filchner Trough, February 2017 – February 2021 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-23
    Description: Time series data of physical oceanography (seawater conductivity, temperature, pressure, salinity) and ocean current velocities were obtained from mooring M6 on the upper part (500 m isobath) of the continental slope, just east of the Filchner Trough in the southern Weddell Sea in February 2017 - February 2021. The mooring was deployed during the WAPITI expedition on James Clark Ross (JR16004), and recovered during the COSMUS expedition with Polarstern (PS124). The attached archive contains data from 1 RCM7 (24 meters above bottom (mab herafter) and sampling interval (sint hereafter) 2h), 5 SBE56 (25, 59, 74, 126, 202 mab, sint: 120 s), 3 SBE37 (34, 99, 176 mab, sint: 600 s), 1 RDI ADCP 150 kHz (235 mab, upwardlooking, sint: 1h), 1 SBE39 (15 mab, sint: 900s). Mooring diagrams and information about data processing are provided
    Keywords: ADCP; Antarctica; AWI_PhyOce; Continental Slope; Current velocity, east-west; Current velocity, north-south; DATE/TIME; DEPTH, water; Filchner Region; Filchner Trough; GPF 19-2_039, COSMUS; James Clark Ross; JR16004; JR16004_160; JR16004_160, PS124_99-1; LATITUDE; LONGITUDE; M6_MOOR_WeddellSea; M6, M6_MOOR_WeddellSea; MOOR; Mooring; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS124; PS124_99-1; Temperature and Salinity; WAPITI; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1014334 data points
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