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  • Wiley  (80,977)
  • American Institute of Physics (AIP)  (49,884)
  • PANGAEA  (40,569)
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  • 1
    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
    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
    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
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  • 4
    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
    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
    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
    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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    Wiley
    In:  EPIC3Limnology and Oceanography, Wiley, ISSN: 0024-3590
    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
    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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  • 10
    Publication Date: 2024-05-06
    Description: Aim: We are using the fossil record of different marine plankton groups to determine how their biodiversity has changed during past climate warming comparable to projected future warming. Location: North Atlantic Ocean and adjacent seas. Time series cover a latitudinal range from 75° N to 6° S. Time period: Past 24,000 years, from the Last Glacial Maximum (LGM) to the current warm period covering the last deglaciation. Major taxa studied: Planktonic foraminifera, dinoflagellates and coccolithophores. Methods: We analyse time series of fossil plankton communities using principal component analysis and generalized additive models to estimate the overall trend of temporal compositional change in each plankton group and to identify periods of significant change. We further analyse local biodiversity change by analysing species richness, species gains and losses, and the effective number of species in each sample, and compare alpha diversity to the LGM mean. Results: All plankton groups show remarkably similar trends in the rates and spatio-temporal dynamics of local biodiversity change and a pronounced non-linearity with climate change in the current warm period. Assemblages of planktonic foraminifera and dinoflagellates started to change significantly with the onset of global warming around 15,500 to 17,000 years ago and continued to change at the same rate during the current warm period until at least 5000 years ago, while coccolithophore assemblages changed at a constant rate throughout the past 24,000 years, seemingly irrespective of the prevailing temperature change. Main conclusions: Climate change during the transition from the LGM to the current warm period led to a long-lasting reshuffling of zoo- and phytoplankton assemblages, likely associated with the emergence of new ecological interactions and possibly a shift in the dominant drivers of plankton assemblage change from more abiotic-dominated causes during the last deglaciation to more biotic-dominated causes with the onset of the Holocene.
    Repository Name: EPIC Alfred Wegener Institut
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  • 11
    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
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  • 12
    Publication Date: 2024-05-08
    Description: Microalgae are the main source of the omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), essential for the healthy development of most marine and terrestrial fauna including humans. Inverse correlations of algal EPA and DHA proportions (% of total fatty acids) with temperature have led to suggestions of a warming-induced decline in the global production of these biomolecules and an enhanced importance of high latitude organisms for their provision. The cold Arctic Ocean is a potential hotspot of EPA and DHA production, but consequences of global warming are unknown. Here, we combine a full-seasonal EPA and DHA dataset from the Central Arctic Ocean (CAO), with results from 13 previous field studies and 32 cultured algal strains to examine five potential climate change effects; ice algae loss, community shifts, increase in light, nutrients, and temperature. The algal EPA and DHA proportions were lower in the ice-covered CAO than in warmer peripheral shelf seas, which indicates that the paradigm of an inverse correlation of EPA and DHA proportions with temperature may not hold in the Arctic. We found no systematic differences in the summed EPA and DHA proportions of sea ice versus pelagic algae, and in diatoms versus non-diatoms. Overall, the algal EPA and DHA proportions varied up to four-fold seasonally and 10-fold regionally, pointing to strong light and nutrient limitations in the CAO. Where these limitations ease in a warming Arctic, EPA and DHA proportions are likely to increase alongside increasing primary production, with nutritional benefits for a non-ice-associated food web.
    Repository Name: EPIC Alfred Wegener Institut
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  • 13
    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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  • 14
    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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  • 15
    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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  • 16
    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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  • 17
    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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  • 18
    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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  • 19
    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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  • 20
    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
    Type: Article , isiRev
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  • 21
    Publication Date: 2024-05-13
    Description: This paper positions possibilities for human geographies of the sea. The growing volume of work under this banner has been largely qualitative in its approach, reflecting, in turn, the questions posed by oceanic scholars. These questions necessitate corresponding methods. Whilst this is not necessarily a problem, and the current corpus of work has offered many significant contributions, in making sense of the human dimensions of maritime worlds, other questions—and methods—may generate knowledge that is useful within this remit of work. This paper considers the place of quantitative approaches in posing lines of enquiry about shipping, one of the prominent areas of concern under the banner of ‘human geographies of the seas’. There is longstanding work in transport geographies concerned with shipping, logistics, freight movement and global connections, which embraces quantitative methods which could be bridged to ask fresh questions about oceanic spatial phenomena past and present. This paper reviews the state of the art of human geographies of the sea and transport geographies and navigates how the former field may be stimulated by some of the interests of the latter and a broader range of questions about society-sea-space relations. The paper focuses on Automatic Identification Systems (or AIS) as a potentially useful tool for connecting debates, and deepening spatial understandings of the seas and shipping beyond current scholarship. To advance the argument the example of shipping layups is used to illustrate or rather, position, the point.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 22
    Publication Date: 2024-05-23
    Description: This paper positions possibilities for human geographies of the sea. The growing volume of work under this banner has been largely qualitative in its approach, reflecting, in turn, the questions posed by oceanic scholars. These questions necessitate corresponding methods. Whilst this is not necessarily a problem, and the current corpus of work has offered many significant contributions, in making sense of the human dimensions of maritime worlds, other questions—and methods—may generate knowledge that is useful within this remit of work. This paper considers the place of quantitative approaches in posing lines of enquiry about shipping, one of the prominent areas of concern under the banner of ‘human geographies of the seas’. There is longstanding work in transport geographies concerned with shipping, logistics, freight movement and global connections, which embraces quantitative methods which could be bridged to ask fresh questions about oceanic spatial phenomena past and present. This paper reviews the state of the art of human geographies of the sea and transport geographies and navigates how the former field may be stimulated by some of the interests of the latter and a broader range of questions about society-sea-space relations. The paper focuses on Automatic Identification Systems (or AIS) as a potentially useful tool for connecting debates, and deepening spatial understandings of the seas and shipping beyond current scholarship. To advance the argument the example of shipping layups is used to illustrate or rather, position, the point.
    Repository Name: EPIC Alfred Wegener Institut
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  • 23
    Publication Date: 2024-05-23
    Description: This paper positions possibilities for human geographies of the sea. The growing volume of work under this banner has been largely qualitative in its approach, reflecting, in turn, the questions posed by oceanic scholars. These questions necessitate corresponding methods. Whilst this is not necessarily a problem, and the current corpus of work has offered many significant contributions, in making sense of the human dimensions of maritime worlds, other questions—and methods—may generate knowledge that is useful within this remit of work. This paper considers the place of quantitative approaches in posing lines of enquiry about shipping, one of the prominent areas of concern under the banner of ‘human geographies of the seas’. There is longstanding work in transport geographies concerned with shipping, logistics, freight movement and global connections, which embraces quantitative methods which could be bridged to ask fresh questions about oceanic spatial phenomena past and present. This paper reviews the state of the art of human geographies of the sea and transport geographies and navigates how the former field may be stimulated by some of the interests of the latter and a broader range of questions about society-sea-space relations. The paper focuses on Automatic Identification Systems (or AIS) as a potentially useful tool for connecting debates, and deepening spatial understandings of the seas and shipping beyond current scholarship. To advance the argument the example of shipping layups is used to illustrate or rather, position, the point.
    Repository Name: EPIC Alfred Wegener Institut
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  • 24
    Publication Date: 2024-05-30
    Description: The toxin-producing dinoflagellate Alexandrium pseudogonyaulax has become increasingly abundant in northern European waters, replacing other Alexandrium species. A. pseudogonyaulax produces goniodomins and lytic substances, which can be cytotoxic toward other organisms, including fish, but we still know little about the environmental conditions influencing its growth and toxicity. Here, we investigated the impacts of different nitrogen sources and light intensities, common bottom-up drivers of bloom formation, on the growth and toxin content of three A. pseudogonyaulax strains isolated from the Danish Limfjord. While the growth rates were significantly influenced by nitrogen source and light intensity, the intracellular toxin contents only showed strong differences between the exponential and stationary growth phases. Moreover, the photophysiological response of A. pseudogonyaulax showed little variation across varying light intensities, while light-harvesting pigments were significantly more abundant under low light conditions. This study additionally highlights considerable physiological variability between strains, emphasizing the importance of conducting laboratory experiments with several algal strains. A high physiological plasticity toward changing abiotic parameters points to a long-term establishment of A. pseudogonyaulax in northern European waters.
    Repository Name: EPIC Alfred Wegener Institut
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  • 25
    Publication Date: 2024-05-30
    Description: The toxin-producing dinoflagellate Alexandrium pseudogonyaulax has become increasingly abundant in northern European waters, replacing other Alexandrium species. A. pseudogonyaulax produces goniodomins and lytic substances, which can be cytotoxic toward other organisms, including fish, but we still know little about the environmental conditions influencing its growth and toxicity. Here, we investigated the impacts of different nitrogen sources and light intensities, common bottom-up drivers of bloom formation, on the growth and toxin content of three A. pseudogonyaulax strains isolated from the Danish Limfjord. While the growth rates were significantly influenced by nitrogen source and light intensity, the intracellular toxin contents only showed strong differences between the exponential and stationary growth phases. Moreover, the photophysiological response of A. pseudogonyaulax showed little variation across varying light intensities, while light-harvesting pigments were significantly more abundant under low light conditions. This study additionally highlights considerable physiological variability between strains, emphasizing the importance of conducting laboratory experiments with several algal strains. A high physiological plasticity toward changing abiotic parameters points to a long-term establishment of A. pseudogonyaulax in northern European waters.
    Repository Name: EPIC Alfred Wegener Institut
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  • 26
    Publication Date: 2024-06-06
    Description: Aim: The efficiency of animal-mediated seed dispersal is threatened by the decline of animal populations, especially in tropical forests. We hypothesise that large-seeded plants with animal-mediated dispersal tend to have limited geographic ranges and face an increased risk of extinction due to the potential decline in seed dispersal by large-bodied fruit-eating and seed-dispersing animals (frugivores). Location: Atlantic Forest, Brazil, South America. Taxon: Angiosperms. Methods: First, we collected dispersal-related traits (dispersal syndrome, fruit size, and seed size), growth form (tree, climber, and other) and preferred vegetation type (open and closed) data for 1052 Atlantic Forest plant species. Next, we integrated these with occurrence records, extinction risk assessments, and phylogenetic trees. Finally, we performed phylogenetic generalised least squares regressions to test the direct and interactive effects of dispersal-related traits and vegetation type on geographical range size. Results: Large-seeded species had smaller range sizes than small-seeded species, but only for species with animal-mediated dispersal, not for those dispersed by abiotic mechanisms. However, plants with abiotic dispersal had overall smaller range sizes than plants with animal-mediated dispersal. Furthermore, we found that species restricted to forests had smaller ranges than those occurring in open or mixed vegetation. Finally, at least 29% of the Atlantic Forest flora is threatened by extinction, but this was not related to plant dispersal syndromes. Main Conclusions: Large-seeded plants with animal-mediated dispersal may be suffering from dispersal limitation, potentially due to past and ongoing defaunation of large-bodied frugivores, leading to small range sizes. Other factors, such as deforestation and fragmentation, will probably modulate the effects of dispersal on range size, and ultimately extinction. Our study sheds light on the relationship between plant traits, mutualistic interactions, and distribution that are key to the functioning of tropical forests.
    Keywords: defaunation ; extinction risk ; frugivory ; phylogeny ; range size ; seed dispersal ; tropical forest
    Repository Name: National Museum of Natural History, Netherlands
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  • 27
    Publication Date: 2024-06-06
    Description: Aim Species have different distribution patterns across the globe and among biogeographical regions. The Nearctic and Palaearctic regions share lineages because of their parallel biogeographic histories and ecological conditions. As the number of phylogenetic studies increases, there are more insights into past exchange events between these two regions and their effects on the current distribution of diversity. However, several groups have not been tested and an overall generalization is still missing. Here, we analyse the biogeographic history across multiple genera of odonates to elucidate a general process of species exchange, vicariance and species divergence between these two regions. Location The Holarctic, including the entire Nearctic and the East and West Palaearctic. Taxon 14 genera of Odonata (Insecta). Methods We reconstructed a time-calibrated phylogenetic tree for each genus to determine species relationships and divergence time using 3614 COI sequences of 259 species. Biogeographic ancestral range estimation was inferred for each phylogeny using BioGeoBEARS. Preferred habitat (lotic versus lentic) was established for each species. Results Exchange events were not restricted in time, direction or either lentic habitat or lotic habitat. Most genera crossed between both regions only once, and it was mainly across the Beringia, while three diverse anisopteran genera revealed multiple exchanges. Recent exchanges during the Pleistocene were associated with cold-dwelling and lentic species. Main Conclusions Our finding reveals the absence of a generalizable pattern of species exchange and divergence between the Nearctic and Palaearctic regions; instead, we found lineage-specific biogeographic patterns. This finding highlights the complexity of drivers and functional traits that shaped current diversity patterns. Moreover, it emphasizes that general conclusions cannot be formulated based on one single clade.
    Keywords: biogeography ; climate change ; damselflies ; dragonflies ; Holarctic
    Repository Name: National Museum of Natural History, Netherlands
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  • 28
    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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  • 29
  • 30
    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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  • 31
    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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  • 32
    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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  • 33
    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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  • 34
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    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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  • 35
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    PANGAEA
    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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  • 36
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    PANGAEA
    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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  • 37
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    PANGAEA
    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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  • 38
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    PANGAEA
    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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  • 39
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    PANGAEA
    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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  • 40
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    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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  • 41
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    PANGAEA
    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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  • 42
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    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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  • 43
    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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  • 44
    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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  • 45
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 46
    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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  • 47
    Publication Date: 2024-03-01
    Description: This data set contains airborne gravity data across central Dronning Maud Land, East Antarctica, acquired during the austral summer of 2009/2010 and within the project 'West-East Gondwana Amalgamation and its Separation' (WEGAS). The data span the offshore Astrid Ridge, and parts of the Nivl and Lazarev ice shelves. The survey was conducted using a ZLS Ultrasys Lacoste & Romberg Air/Sea gravimeter S56 installed into - and operated with - the research aircraft Polar 5. Base readings were performed with a handheld gravity meter at the base station Novolazarevskaja and in Cape Town. A ground speed of 130 knots and a time-domain filter of 220 s leads to a spatial resolution of around 7 km. The average crossover error after bias adjustment is 4.2 mGal. When citing this data set, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: AC; airborne gravity; Aircraft; Antarctica; Antarctica, East; Astrid Ridge; DATE/TIME; Event label; Free-air gravity anomaly; Gravity; Height; LATITUDE; Lazarev Ice Shelf; Line; LONGITUDE; Nivl Ice Shelf; PGM17 (NGA's Preliminary Geopotential Model 2017); POLAR 5; WEGAS_2009/10; WEGAS_2009/10_02; WEGAS_2009/10_03; WEGAS_2009/10_04; WEGAS_2009/10_05; WEGAS_2009/10_06; WEGAS_2009/10_07; WEGAS_2009/10_08; WEGAS_2009/10_09; WEGAS_2009/10_10; WEGAS_2009/10_11; WEGAS_2009/10_12; WEGAS_2009/10_13; WEGAS_2009/10_14; WEGAS_2009/10_16; WEGAS_2009/10_17; WEGAS_2009/10_18; WEGAS_2009/10_19; WEGAS_2009/10_20; WEGAS_2009/10_21; WEGAS offshore
    Type: Dataset
    Format: text/tab-separated-values, 128088 data points
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  • 48
    Publication Date: 2024-03-01
    Description: Attached data comprise a bathymetric model of central Dronning Maud Land, including the seabed beneath the Nivl Ice Shelf and the Lazarev Ice Shelf, as well as the offshore Astrid Ridge and adjacent parts of the Riiser-Larsen Sea. Here, this model is embedded within the larger Antarctic-wide bathymetric compilation IBCSOV2 (Dorschel et al., 2022). This is an addition to the stand-alone bathymetric model here: https://doi.org/10.1594/PANGAEA.961492. The embedded model gives seabed depths relative to WGS84 at a resolution of 2.5 km. It is generated by complementing existing topographic data sets - such as seismic data, ice penetrating radar data, and shipborne hydroacoustic data - with the inversion of airborne gravity data towards bathymetry. The airborne gravity data used for the inversion consist of data acquired during aerogeophysical campaigns VISA from the early 2000s and WEGAS from the austral summer of 2009/2010. When citing this model, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: Antarctica; Bathymetry; BathymetryModel_cDronningMaudLan; Bed elevation; Coordinate, x, relative; Coordinate, y, relative; Dronning Maud Land; Dronning Maud Land, Antarctica; gravity inversion; LATITUDE; Lazarev Ice Shelf; LONGITUDE; Model; Nivl Ice Shelf; water column
    Type: Dataset
    Format: text/tab-separated-values, 206742 data points
    Location Call Number Expected Availability
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  • 49
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; Snow height; solar radiation; Tilt angle, X; Tilt angle, Y
    Type: Dataset
    Format: text/tab-separated-values, 29044 data points
    Location Call Number Expected Availability
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  • 50
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 51
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 52
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 89452 data points
    Location Call Number Expected Availability
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  • 53
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
    Location Call Number Expected Availability
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  • 54
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
    Location Call Number Expected Availability
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  • 55
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 253099 data points
    Location Call Number Expected Availability
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  • 56
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Transmittance; Transmittance, photosynthetically active; Transmittance at 320 nm; Transmittance at 321 nm; Transmittance at 322 nm; Transmittance at 323 nm; Transmittance at 324 nm; Transmittance at 325 nm; Transmittance at 326 nm; Transmittance at 327 nm; Transmittance at 328 nm; Transmittance at 329 nm; Transmittance at 330 nm; Transmittance at 331 nm; Transmittance at 332 nm; Transmittance at 333 nm; Transmittance at 334 nm; Transmittance at 335 nm; Transmittance at 336 nm; Transmittance at 337 nm; Transmittance at 338 nm; Transmittance at 339 nm; Transmittance at 340 nm; Transmittance at 341 nm; Transmittance at 342 nm; Transmittance at 343 nm; Transmittance at 344 nm; Transmittance at 345 nm; Transmittance at 346 nm; Transmittance at 347 nm; Transmittance at 348 nm; Transmittance at 349 nm; Transmittance at 350 nm; Transmittance at 351 nm; Transmittance at 352 nm; Transmittance at 353 nm; Transmittance at 354 nm; Transmittance at 355 nm; Transmittance at 356 nm; Transmittance at 357 nm; Transmittance at 358 nm; Transmittance at 359 nm; Transmittance at 360 nm; Transmittance at 361 nm; Transmittance at 362 nm; Transmittance at 363 nm; Transmittance at 364 nm; Transmittance at 365 nm; Transmittance at 366 nm; Transmittance at 367 nm; Transmittance at 368 nm; Transmittance at 369 nm; Transmittance at 370 nm; Transmittance at 371 nm; Transmittance at 372 nm; Transmittance at 373 nm; Transmittance at 374 nm; Transmittance at 375 nm; Transmittance at 376 nm; Transmittance at 377 nm; Transmittance at 378 nm; Transmittance at 379 nm; Transmittance at 380 nm; Transmittance at 381 nm; Transmittance at 382 nm; Transmittance at 383 nm; Transmittance at 384 nm; Transmittance at 385 nm; Transmittance at 386 nm; Transmittance at 387 nm; Transmittance at 388 nm; Transmittance at 389 nm; Transmittance at 390 nm; Transmittance at 391 nm; Transmittance at 392 nm; Transmittance at 393 nm; Transmittance at 394 nm; Transmittance at 395 nm; Transmittance at 396 nm; Transmittance at 397 nm; Transmittance at 398 nm; Transmittance at 399 nm; Transmittance at 400 nm; Transmittance at 401 nm; Transmittance at 402 nm; Transmittance at 403 nm; Transmittance at 404 nm; Transmittance at 405 nm; Transmittance at 406 nm; Transmittance at 407 nm; Transmittance at 408 nm; Transmittance at 409 nm; Transmittance at 410 nm; Transmittance at 411 nm; Transmittance at 412 nm; Transmittance at 413 nm; Transmittance at 414 nm; Transmittance at 415 nm; Transmittance at 416 nm; Transmittance at 417 nm; Transmittance at 418 nm; Transmittance at 419 nm; Transmittance at 420 nm; Transmittance at 421 nm; Transmittance at 422 nm; Transmittance at 423 nm; Transmittance at 424 nm; Transmittance at 425 nm; Transmittance at 426 nm; Transmittance at 427 nm; Transmittance at 428 nm; Transmittance at 429 nm; Transmittance at 430 nm; Transmittance at 431 nm; Transmittance at 432 nm; Transmittance at 433 nm; Transmittance at 434 nm; Transmittance at 435 nm; Transmittance at 436 nm; Transmittance at 437 nm; Transmittance at 438 nm; Transmittance at 439 nm; Transmittance at 440 nm; Transmittance at 441 nm; Transmittance at 442 nm; Transmittance at 443 nm; Transmittance at 444 nm; Transmittance at 445 nm; Transmittance at 446 nm; Transmittance at 447 nm; Transmittance at 448 nm; Transmittance at 449 nm; Transmittance at 450 nm; Transmittance at 451 nm; Transmittance at 452 nm; Transmittance at 453 nm; Transmittance at 454 nm; Transmittance at 455 nm; Transmittance at 456 nm; Transmittance at 457 nm; Transmittance at 458 nm; Transmittance at 459 nm; Transmittance at 460 nm; Transmittance at 461 nm; Transmittance at 462 nm; Transmittance at 463 nm; Transmittance at 464 nm; Transmittance at 465 nm; Transmittance at 466 nm; Transmittance at 467 nm; Transmittance at 468 nm; Transmittance at 469 nm; Transmittance at 470 nm; Transmittance at 471 nm; Transmittance at 472 nm; Transmittance at 473 nm; Transmittance at 474 nm; Transmittance at 475 nm; Transmittance at 476 nm; Transmittance at 477 nm; Transmittance at 478 nm; Transmittance at 479 nm; Transmittance at 480 nm; Transmittance at 481 nm; Transmittance at 482 nm; Transmittance at 483 nm; Transmittance at 484 nm; Transmittance at 485 nm; Transmittance at 486 nm; Transmittance at 487 nm; Transmittance at 488 nm; Transmittance at 489 nm; Transmittance at 490 nm; Transmittance at 491 nm; Transmittance at 492 nm; Transmittance at 493 nm; Transmittance at 494 nm; Transmittance at 495 nm; Transmittance at 496 nm; Transmittance at 497 nm; Transmittance at 498 nm; Transmittance at 499 nm; Transmittance at 500 nm; Transmittance at 501 nm; Transmittance at 502 nm; Transmittance at 503 nm; Transmittance at 504 nm; Transmittance at 505 nm; Transmittance at 506 nm; Transmittance at 507 nm; Transmittance at 508 nm; Transmittance at 509 nm; Transmittance at 510 nm; Transmittance at 511 nm; Transmittance at 512 nm; Transmittance at 513 nm; Transmittance at 514 nm; Transmittance at 515 nm; Transmittance at 516 nm; Transmittance at 517 nm; Transmittance at 518 nm; Transmittance at 519 nm; Transmittance at 520 nm; Transmittance at 521 nm; Transmittance at 522 nm; Transmittance at 523 nm; Transmittance at 524 nm; Transmittance at 525 nm; Transmittance at 526 nm; Transmittance at 527 nm; Transmittance at 528 nm; Transmittance at 529 nm; Transmittance at 530 nm; Transmittance at 531 nm; Transmittance at 532 nm; Transmittance at 533 nm; Transmittance at 534 nm; Transmittance at 535 nm; Transmittance at 536 nm; Transmittance at 537 nm; Transmittance at 538 nm; Transmittance at 539 nm; Transmittance at 540 nm; Transmittance at 541 nm; Transmittance at 542 nm; Transmittance at 543 nm; Transmittance at 544 nm; Transmittance at 545 nm; Transmittance at 546 nm; Transmittance at 547 nm; Transmittance at 548 nm; Transmittance at 549 nm; Transmittance at 550 nm; Transmittance at 551 nm; Transmittance at 552 nm; Transmittance at 553 nm; Transmittance at 554 nm; Transmittance at 555 nm; Transmittance at 556 nm; Transmittance at 557 nm; Transmittance at 558 nm; Transmittance at 559 nm; Transmittance at 560 nm; Transmittance at 561 nm; Transmittance at 562 nm; Transmittance at 563 nm; Transmittance at 564 nm; Transmittance at 565 nm; Transmittance at 566 nm; Transmittance at 567 nm; Transmittance at 568 nm; Transmittance at 569 nm; Transmittance at 570 nm; Transmittance at 571 nm; Transmittance at 572 nm; Transmittance at 573 nm; Transmittance at 574 nm; Transmittance at 575 nm; Transmittance at 576 nm; Transmittance at 577 nm; Transmittance at 578 nm; Transmittance at 579 nm; Transmittance at 580 nm; Transmittance at 581 nm; Transmittance at 582 nm; Transmittance at 583 nm; Transmittance at 584 nm; Transmittance at 585 nm; Transmittance at 586 nm; Transmittance at 587 nm; Transmittance at 588 nm; Transmittance at 589 nm; Transmittance at 590 nm; Transmittance at 591 nm; Transmittance at 592 nm; Transmittance at 593 nm; Transmittance at 594 nm; Transmittance at 595 nm; Transmittance at 596 nm; Transmittance at 597 nm; Transmittance at 598 nm; Transmittance at 599 nm; Transmittance at 600 nm; Transmittance at 601 nm; Transmittance at 602 nm; Transmittance at 603 nm; Transmittance at 604 nm; Transmittance at 605 nm; Transmittance at 606 nm; Transmittance at 607 nm; Transmittance at 608 nm; Transmittance at 609 nm; Transmittance at 610 nm; Transmittance at 611 nm; Transmittance at 612 nm; Transmittance at 613 nm; Transmittance at 614 nm; Transmittance at 615 nm; Transmittance
    Type: Dataset
    Format: text/tab-separated-values, 738492 data points
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  • 57
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
    Location Call Number Expected Availability
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  • 58
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 59
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Calculated; Chlorophyll, logarithm; Chlorophyll total; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
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  • 60
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Alkenone, C37 per unit sediment mass; Argo; BC; Box corer; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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  • 61
    Publication Date: 2024-03-05
    Keywords: 138-846; A205402GC; A210804; Alkenone; Argo; BC; Box corer; Coccolithaceae, biomass; COMPCORE; Composite Core; Core; CORE; core top; DEPTH, sediment/rock; DWBG-143; DWBG-144; Eastern Equatorial Pacific; Equatorial East Pacific; Event label; GC; Gravity corer; Hakuho-Maru; HY06; Joides Resolution; KH-03-1; Knorr; KNR073-04-003; KNR073-04-008; KNR073-04-009; KNR073-04-010; KNR182-9; KNR182-9-MC15; KNR195-05-005-10-GGC; KNR195-05-14-35-GGC; KNR195-05-GGC005-10; KNR195-05-GGC14-35; KNR195-5; KNR195-5-MC12; KNR195-5-MC18; KNR195-5-MC22; KNR195-5-MC25; KNR195-5-MC33; KNR195-5-MC34; KNR733P; KNR73-4GC-008; KNR73-4GC-009; KNR73-4GC-010; Latitude of event; Leg138; Literature based; Longitude of event; ME0005A; ME0005A-25MC5; Melville; MODIS; MUC; MultiCorer; NEMO; P6702-11G; P6702-52G; Pacific Ocean; PC; Piston corer; PLDS-068BX; PLDS-070BX; PLDS-072BX; PLDS-074BX; PLDS-077BX; PLDS-090BX; PLDS-3; Pleiades; RC11; RC1112; RC11-238; RC13; RC13-108; Reference/source; Robert Conrad; Sample ID; SCAN; SCAN-095G; Sea surface temperature; South Pacific Ocean; SST; Thomas Washington; TR163-22; TR163-31; Uniform resource locator/link to reference; V19; V19-28; V19-30; V21; V21-30; Vema; VNTR01; VNTR01-10GC; VNTR01-13GC; VNTR01-9PC; Y69-71P; YALOC69; Yaquina
    Type: Dataset
    Format: text/tab-separated-values, 166 data points
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  • 62
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Pressure, water; PS122/1_1-167, 2019R8; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 108915 data points
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  • 63
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 90079 data points
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  • 64
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 53713 data points
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  • 65
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, difference
    Type: Dataset
    Format: text/tab-separated-values, 36366 data points
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  • 66
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 67
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 68
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 69
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22236 data points
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  • 70
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 257782 data points
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  • 71
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25033 data points
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  • 72
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    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23254 data points
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  • 73
    Publication Date: 2024-02-29
    Description: Dinoflagellate cysts have been determined in sediments of core DP30PC on a resolution of 1 sample per 2.5 mm core depth (representing approximately 3 year) and 119.65 - 180.4 cm core depth. These data form the basis of high temporal resolution temperature and precipitation reconstructions for Roman times between about 200 BCE and 600 CE (ca. 205 BCE - 605 CE).
    Keywords: 64PE297; Age; Ataxiodinium choane; Bitectatodinium tepikiense; Center for Marine Environmental Sciences; Counting, dinoflagellate cysts; DEPTH, sediment/rock; Dinoflagellate cyst, other; Dinoflagellate cyst, warm water/cold water, ratio; Dinoflagellate cyst reworked; Discharge index; DP30PC; elements; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sphaericum; Impagidinium strialatum; Lingulodinium polyedrum; MARUM; Mediterranean; Nematosphaeropsis labyrinthus; Operculodinium israelianum; PC; Pelagia; Piston corer; Polysphaeridium zoharyi; Pseudoschizea spp.; Pyxidinopsis reticulata; Roman Climate Optimum; Spiniferites elongatus; Spiniferites mirabilis; Spiniferites ramosus; Tectatodinium pellitum; Temperature, water; Tuberculodinium vancampoae; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 6092 data points
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  • 74
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27270 data points
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  • 75
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29012 data points
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  • 76
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 77
    facet.materialart.
    Unknown
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24245 data points
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  • 78
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-003PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 6167 data points
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  • 79
    Publication Date: 2024-02-28
    Keywords: age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-001PC; Coriolis II; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1440 data points
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  • 80
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-006PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 5540 data points
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  • 81
    Publication Date: 2024-02-28
    Keywords: AGE; Age, 14C calibrated; age depth model; Aluminium; Beckman Coulter Laser diffraction particle size analyzer LS 13 320; Calcium; Color, a*; Color, b*; Color, L*, lightness; COR1404; COR1404-008PC; Coriolis II; Depth, reconstructed; DEPTH, sediment/rock; elemental geochemistry; Grain size, mean; Grain size data; Gulf of San Jorge; Gulf of San Jorge, Argentina; Iron; magnetic susceptibility; Magnetic susceptibility; Manganese; MARGES; Multi-Sensor Core Logger (MSCL), GEOTEK; Olympus InnovX Delta portable XRF; Patagonia; PC; Percentile 10; Percentile 50; Percentile 90; Piston corer; Potassium; Rubidium; Silicon; Size fraction 〉 2 mm, gravel; Spectrophotometer Minolta CM-260; Strontium; Titanium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 4023 data points
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  • 82
    Publication Date: 2024-03-12
    Keywords: Aluminium oxide; Ardmore; Area/locality; Barium oxide; Barr_Creek; Calcium oxide; Cerium; Chromium(III) oxide; Depth, description; DEPTH, sediment/rock; DTREE; Duchess; Dysprosium; Erbium; Europium; Event label; Gadolinium; Georgina Basin; Hole; Holmium; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lily_Creek; LONGITUDE; Loss on ignition; Lutetium; Magnesium oxide; Manganese oxide; Neodymium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus pentoxide; Potassium oxide; Praseodymium; Rare-earth elements; ROCK; Rock sample; Samarium; Sample code/label; Sherrin_Creek; Silicon dioxide; Sodium oxide; Strontium oxide; Terbium; Thorium; Thulium; Titanium dioxide; Total; Uranium; Whole rock geochemistry; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1327 data points
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  • 83
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Barium; Barium oxide; Calcium; Calcium oxide; Cerium; Cerium oxid; Chlorine; Date of determination; Electron micro probe analyser (EMPA); Fluorine; Gadolinium; Gadolinium oxide; Georgina Basin; Iron; Iron oxide, Fe2O3; Lanthanum; Lanthanum oxide; Laser Ablation; LATITUDE; LONGITUDE; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Mineral name; Neodymium; Neodymium oxid; Oxygen; Phosphorite; Phosphorus; Phosphorus pentoxide; Sample ID; Silicon; Silicon dioxide; Site; Sodium; Sodium oxide; Strontium; Strontium oxide; Sulfur; Sulfur trioxide; Total; Whole rock geochemistry; Yttrium; Yttrium oxide
    Type: Dataset
    Format: text/tab-separated-values, 1764 data points
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  • 84
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-12
    Description: We continuously measured aerosol size distributions in the range between 18 nm and 820 nm in 64 bit per decade resolution by means of a Scanning Mobility Particle Sizer (SMPS, TSI, i.e. a Series 3080 Electrostatic Classifier equipped with a Differential Mobility Analyzer DMA 3081). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 4 August 2023 and 31 December 2023. The data are based on an original 10-minute temporal resolution, submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.81ece554-068a-4c6e-8de5-1ef1944c0156
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; Log-normal particle size distribution, normalized concentration at particle diameter 101.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 109.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 113.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 117.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 121.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 126.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 131 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 140.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 145.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 151.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 156.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 162.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 168.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 174.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 181.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 187.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 19.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 194.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 201.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 209.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 21.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 216.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 22.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 224.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 23.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 232.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 24.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 241.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 250.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 259.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 26.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269 nm; Log-normal particle size distribution, normalized concentration at particle diameter 27.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 278.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 28.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 289 nm; Log-normal particle size distribution, normalized concentration at particle diameter 299.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 30 nm; Log-normal particle size distribution, normalized concentration at particle diameter 31.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 310.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 32.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 322 nm; Log-normal particle size distribution, normalized concentration at particle diameter 33.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 333.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 34.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 346 nm; Log-normal particle size distribution, normalized concentration at particle diameter 35.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 358.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 37.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 371.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 38.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 385.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 399.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 40 nm; Log-normal particle size distribution, normalized concentration at particle diameter 41.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 414.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 42.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 429.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 44.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 445.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 46.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 461.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 47.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 478.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 49.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 495.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 51.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 514 nm; Log-normal particle size distribution, normalized concentration at particle diameter 53.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 532.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 55.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 552.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 57.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 572.5 nm; Log-normal particle size distribution, normalized
    Type: Dataset
    Format: text/tab-separated-values, 385097 data points
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  • 85
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Antimony; Ardmore; Area/locality; Arsenic; Barium; Barr_Creek; Beryllium; Bismuth; Boron; Cadmium; Caesium; Calcium; Calcium oxide; Cerium; Chromium; Cobalt; Copper; DTREE; Duchess; Dysprosium; Erbium; Europium; Gadolinium; Georgina Basin; Hafnium; Holmium; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lead-208; Lily_Creek; Lithium; Lithium borate fusion; acid digestion; LONGITUDE; Lutetium; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Molybdenum; Neodymium; Nickel; Niobium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; Praseodymium; Rhenium; ROCK; Rock sample; Rock type; Rubidium; Samarium; Sample ID; Scandium; Sherrin_Creek; Silicon; Silicon dioxide; Sodium; Sodium oxide; Strontium; Tantalum; Tellurium; Terbium; Thallium; Thorium; Thulium; Tin; Titanium; Titanium dioxide; Total; Uranium; Vanadium; Whole rock geochemistry; Ytterbium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 837 data points
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  • 86
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-09
    Description: We operate a multi angle absorption photometer MAAP (Model 5012, Thermo Electron Corp.). which is in operation since March 2006 ongoing. This instrument measures atmospheric light absorption by aerosol (mainly caused by black carbon, BC). To this end, ambient aerosol was sampled on a glass filter tape. The measured absorption coefficients abs(637) refer to a wavelength of 637 nm. Raw data were originally sampled in one-minute resolution. Finally, hourly averaged MAAP data are presented here. We also provide BC concentrations (ng/m³) derived from the absorption coefficients using the specific BC attenuation cross section (QBC) of 6.6 m²/g.
    Keywords: aerosol; Aerosol absorption at 637 nm; AIRCHEM; Air chemistry observatory; Atmospheric chemistry; Atmospheric Chemistry @ AWI; AWI_AC; Black carbon, aerosol; DATE/TIME; Dronning Maud Land, Antarctica; Duration; HEIGHT above ground; Multi angle absorption spectrometer MAAP5012; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; Spuso; SPUSO
    Type: Dataset
    Format: text/tab-separated-values, 26274 data points
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  • 87
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-09
    Description: We continuously measured aerosol size distributions in the range between 90 nm and 5000 nm in 64 bit resolution with an optical particle sizer (TSI LAS3340). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 1 January 2023 and 10 July 2023. The data rely on an original 10-minute temporal resolution and are finally submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.5d9a9253-e118-4744-be3a-05f31551314a.
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; las3340; Laser Aerosol Spectrometer TSI LAS3340; Log-normal particle size distribution, normalized concentration at particle diameter 1008.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.29 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1074.15 nm; Log-normal particle size distribution, normalized concentration at particle diameter 112.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1143.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 119.38 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1217.84 nm; Log-normal particle size distribution, normalized concentration at particle diameter 127.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1296.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.34 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1380.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 144.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1470.19 nm; Log-normal particle size distribution, normalized concentration at particle diameter 153.45 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1565.43 nm; Log-normal particle size distribution, normalized concentration at particle diameter 163.39 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1666.85 nm; Log-normal particle size distribution, normalized concentration at particle diameter 173.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1774.83 nm; Log-normal particle size distribution, normalized concentration at particle diameter 185.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1889.81 nm; Log-normal particle size distribution, normalized concentration at particle diameter 197.25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2012.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 210.03 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2142.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 223.63 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2281.41 nm; Log-normal particle size distribution, normalized concentration at particle diameter 238.12 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2429.21 nm; Log-normal particle size distribution, normalized concentration at particle diameter 253.55 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2586.58 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2754.15 nm; Log-normal particle size distribution, normalized concentration at particle diameter 287.46 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2932.57 nm; Log-normal particle size distribution, normalized concentration at particle diameter 306.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3122.55 nm; Log-normal particle size distribution, normalized concentration at particle diameter 325.91 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3324.84 nm; Log-normal particle size distribution, normalized concentration at particle diameter 347.02 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3540.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 369.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3769.59 nm; Log-normal particle size distribution, normalized concentration at particle diameter 393.45 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4013.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 418.93 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4273.82 nm; Log-normal particle size distribution, normalized concentration at particle diameter 446.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4550.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 474.98 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4845.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 505.75 nm; Log-normal particle size distribution, normalized concentration at particle diameter 538.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 573.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 610.54 nm; Log-normal particle size distribution, normalized concentration at particle diameter 650.09 nm; Log-normal particle size distribution, normalized concentration at particle diameter 692.21 nm; Log-normal particle size distribution, normalized concentration at particle diameter 737.05 nm; Log-normal particle size distribution, normalized concentration at particle diameter 784.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 835.64 nm; Log-normal particle size distribution, normalized concentration at particle diameter 889.78 nm; Log-normal particle size distribution, normalized concentration at particle diameter 92.87 nm; Log-normal particle size distribution, normalized concentration at particle diameter 947.42 nm; Log-normal particle size distribution, normalized concentration at particle diameter 98.89 nm; Neumayer; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; size distribution; Spuso; SPUSO; Time in minutes
    Type: Dataset
    Format: text/tab-separated-values, 300234 data points
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  • 88
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-12
    Description: We operate a 7-wavelength aethalometer (Model AE33, Magee Scientific) which is in operation since 23 January 2019 ongoing. The Aethalometer model AE33 collects aerosol particles continuously by drawing the aerosol-laden air stream through a spot on the filter tape. It analyzes the aerosol by measuring the transmission of light through one portion of the filter tape containing the sample, versus the transmission through an unloaded portion of the filter tape acting as a reference area. This analysis is done at seven optical wavelengths spanning the range from the near-infrared to the near-ultraviolet. The Aethalometer calculates the instantaneous concentration of optically-absorbing aerosols from the rate of change of the attenuation of light transmitted through the particle-laden filter.
    Keywords: aerosol; Aerosol absorption at 370 nm; Aerosol absorption at 470 nm; Aerosol absorption at 520 nm; Aerosol absorption at 590 nm; Aerosol absorption at 660 nm; Aerosol absorption at 880 nm; Aerosol absorption at 950 nm; aerosol absorption coefficient; Aethalometer, AE33, Magee Scientific; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; DATE/TIME; Dronning Maud Land, Antarctica; Duration; HEIGHT above ground; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; Neumayer Station; Spuso; SPUSO
    Type: Dataset
    Format: text/tab-separated-values, 131400 data points
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  • 89
    Publication Date: 2024-03-05
    Description: Multiproxy analysis (including magnetic susceptibility, diffuse spectral reflectance, elemental geochemistry and grain size) of five sediment piston cores (COR1404-001PC, COR1404-003PC, COR1404-006PC, COR1404-008PC and COR1404-011PC) in order to characterize the evolution of sedimentary environments and depositional history of the Gulf of San Jorge (Patagonia, Argentina) since the Last Glacial Maximum. The data were collected on board the R/V Coriolis II during the MARGES (Marine Geology of the Gulf of San Jorge) expedition (January 29 to March 4, 2014) as part of the PROMESSe (PROgrama Multidisciplinario para el Estudio del ecosistema y la geología marina del golfo San Jorge y las costas de las provincias de Chubut y Santa Cruz) project. Color reflectance, pXRF and magnetic susceptibility were performed at 1-cm intervals on freshly split core sections using a GEOTEK Multi-Sensor Core Logger. Prior to grain size analysis, the five piston cores were evenly sampled every 8 cm with a refined sampling at 4-cm intervals for basal sections of cores COR1404-003PC, COR1404-006PC and COR1404-008PC. Grain size analysis of sediment samples was carried out on the detrital fraction using a Beckman Coulter LS 13 320 particle size analyser. The age-depth models were generated with radiocarbon ages calibrated using the software CALIB version 7.1, the Marine13 calibration curve and a marine regional reservoir correction (ΔR) of 0. The “best fit” linearly interpolated age-depth models were constructed with the Bayesian statistical approach of the BACON v2.2 package of the R software.
    Keywords: age depth model; elemental geochemistry; Grain size data; Gulf of San Jorge; magnetic susceptibility; Patagonia
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 90
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; drift; FDOM; Ice mass balance; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Sea Ice Physics @ AWI; snow depth; solar radiation
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 91
    Publication Date: 2024-03-05
    Description: Vegetated coastal ecosystems have been increasingly recognized for their capacity to sequester organic carbon in their soils and sediments under the term blue carbon. The vegetation of these habitats shows specific adaptations to severe abiotic soil conditions, particularly, waterlogging and salinity, and supports therefore ecosystem functioning and services. Wadden Sea salt marshes in Schleswig-Holstein (Germany) have been utilized for high density sheep grazing over centuries. At the beginning of the 1990s, in many parts of salt marshes livestock densities were reduced and the maintenance of the anthropogenic drainage system was ceased. In 2012, 17 years after the change of land utilization, the contents, densities, and accumulation rates of surface soil carbon were investigated at 50 sampling positions with different elevations along eight transects in Wadden Sea mainland salt marshes at Hamburger Hallig, Schleswig-Holstein, Germany, under different livestock grazing regimes (ungrazed, moderately grazed, intensively grazed). Surface soil was collected in 150 permanent plots (2 m * 2 m) at 50 sampling positions, covering a salt marsh area of 1050 ha. The carbon contents, pH, and bulk density were determined from dried soil. The elevations of the 150 permanent plots were measured and annual vertical accretion rates were calculated from 17 years sedimentation monitoring. This study was supported by the BASSIA project (Biodiversity, management, and ecosystem functions of salt marshes in the Wadden Sea National Park of Schleswig-Holstein), funded by the Bauer-Hollmann Foundation and Universität Hamburg.
    Keywords: Agrostis stolonifera, cover; Armeria maritima, cover; Artemisia maritima, cover; Aster tripolium, cover; Atriplex littoralis, cover; Atriplex portulacoides, cover; Atriplex prostrata, cover; blue carbon; Calculated; Climate change; DATE/TIME; Density, dry bulk; Depth, soil, maximum; Distance; ELEVATION; Elymus athericus, cover; Elymus repens, cover; Festuca rubra, cover; Glaux maritima, cover; inorganic and organic carbon stock; Inorganic carbon, soil; Juncus gerardii, cover; Limonium vulgare, cover; Livestock density; Multi parameter analyser, Eijkelkamp, 18.28; Optical levelling instrument; Organic carbon, soil; pH; Plantago coronopus, cover; Plantago maritima, cover; Plot of land; Potentilla anserina, cover; Puccinellia maritima, cover; Salicornia europaea, cover; Sample position; Sea level rise; Soil corer; Sonchus asper, cover; Sonchus sp., cover; Spartina anglica, cover; Spergularia maritima, cover; SSC_2012_HH-SH-G; Suaeda maritima, cover; tidal wetland; TMAP Wadden Sea Vegetation Database (Stock 2012); Total organic carbon (TOC) analyzer, Elementar, Liqui-TOC; coupled with extension module, Elementar, soliTIC; Triglochin maritima, cover; Vegetation, cover; Vegetation type; Vertical accretion rate, annual mean; Wadden Sea, Germany
    Type: Dataset
    Format: text/tab-separated-values, 5300 data points
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  • 92
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; Irradiance, upward, reflected at sea ice surface; Irradiance, upward, reflected at sea ice surface, photosythetically active; Irradiance, upward, reflected at sea ice surface, photosythetically active, absolute; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Spectral irradiance, upward, reflected at sea ice surface at 320 nm; Spectral irradiance, upward, reflected at sea ice surface at 321 nm; Spectral irradiance, upward, reflected at sea ice surface at 322 nm; Spectral irradiance, upward, reflected at sea ice surface at 323 nm; Spectral irradiance, upward, reflected at sea ice surface at 324 nm; Spectral irradiance, upward, reflected at sea ice surface at 325 nm; Spectral irradiance, upward, reflected at sea ice surface at 326 nm; Spectral irradiance, upward, reflected at sea ice surface at 327 nm; Spectral irradiance, upward, reflected at sea ice surface at 328 nm; Spectral irradiance, upward, reflected at sea ice surface at 329 nm; Spectral irradiance, upward, reflected at sea ice surface at 330 nm; Spectral irradiance, upward, reflected at sea ice surface at 331 nm; Spectral irradiance, upward, reflected at sea ice surface at 332 nm; Spectral irradiance, upward, reflected at sea ice surface at 333 nm; Spectral irradiance, upward, reflected at sea ice surface at 334 nm; Spectral irradiance, upward, reflected at sea ice surface at 335 nm; Spectral irradiance, upward, reflected at sea ice surface at 336 nm; Spectral irradiance, upward, reflected at sea ice surface at 337 nm; Spectral irradiance, upward, reflected at sea ice surface at 338 nm; Spectral irradiance, upward, reflected at sea ice surface at 339 nm; Spectral irradiance, upward, reflected at sea ice surface at 340 nm; Spectral irradiance, upward, reflected at sea ice surface at 341 nm; Spectral irradiance, upward, reflected at sea ice surface at 342 nm; Spectral irradiance, upward, reflected at sea ice surface at 343 nm; Spectral irradiance, upward, reflected at sea ice surface at 344 nm; Spectral irradiance, upward, reflected at sea ice surface at 345 nm; Spectral irradiance, upward, reflected at sea ice surface at 346 nm; Spectral irradiance, upward, reflected at sea ice surface at 347 nm; Spectral irradiance, upward, reflected at sea ice surface at 348 nm; Spectral irradiance, upward, reflected at sea ice surface at 349 nm; Spectral irradiance, upward, reflected at sea ice surface at 350 nm; Spectral irradiance, upward, reflected at sea ice surface at 351 nm; Spectral irradiance, upward, reflected at sea ice surface at 352 nm; Spectral irradiance, upward, reflected at sea ice surface at 353 nm; Spectral irradiance, upward, reflected at sea ice surface at 354 nm; Spectral irradiance, upward, reflected at sea ice surface at 355 nm; Spectral irradiance, upward, reflected at sea ice surface at 356 nm; Spectral irradiance, upward, reflected at sea ice surface at 357 nm; Spectral irradiance, upward, reflected at sea ice surface at 358 nm; Spectral irradiance, upward, reflected at sea ice surface at 359 nm; Spectral irradiance, upward, reflected at sea ice surface at 360 nm; Spectral irradiance, upward, reflected at sea ice surface at 361 nm; Spectral irradiance, upward, reflected at sea ice surface at 362 nm; Spectral irradiance, upward, reflected at sea ice surface at 363 nm; Spectral irradiance, upward, reflected at sea ice surface at 364 nm; Spectral irradiance, upward, reflected at sea ice surface at 365 nm; Spectral irradiance, upward, reflected at sea ice surface at 366 nm; Spectral irradiance, upward, reflected at sea ice surface at 367 nm; Spectral irradiance, upward, reflected at sea ice surface at 368 nm; Spectral irradiance, upward, reflected at sea ice surface at 369 nm; Spectral irradiance, upward, reflected at sea ice surface at 370 nm; Spectral irradiance, upward, reflected at sea ice surface at 371 nm; Spectral irradiance, upward, reflected at sea ice surface at 372 nm; Spectral irradiance, upward, reflected at sea ice surface at 373 nm; Spectral irradiance, upward, reflected at sea ice surface at 374 nm; Spectral irradiance, upward, reflected at sea ice surface at 375 nm; Spectral irradiance, upward, reflected at sea ice surface at 376 nm; Spectral irradiance, upward, reflected at sea ice surface at 377 nm; Spectral irradiance, upward, reflected at sea ice surface at 378 nm; Spectral irradiance, upward, reflected at sea ice surface at 379 nm; Spectral irradiance, upward, reflected at sea ice surface at 380 nm; Spectral irradiance, upward, reflected at sea ice surface at 381 nm; Spectral irradiance, upward, reflected at sea ice surface at 382 nm; Spectral irradiance, upward, reflected at sea ice surface at 383 nm; Spectral irradiance, upward, reflected at sea ice surface at 384 nm; Spectral irradiance, upward, reflected at sea ice surface at 385 nm; Spectral irradiance, upward, reflected at sea ice surface at 386 nm; Spectral irradiance, upward, reflected at sea ice surface at 387 nm; Spectral irradiance, upward, reflected at sea ice surface at 388 nm; Spectral irradiance, upward, reflected at sea ice surface at 389 nm; Spectral irradiance, upward, reflected at sea ice surface at 390 nm; Spectral irradiance, upward, reflected at sea ice surface at 391 nm; Spectral irradiance, upward, reflected at sea ice surface at 392 nm; Spectral irradiance, upward, reflected at sea ice surface at 393 nm; Spectral irradiance, upward, reflected at sea ice surface at 394 nm; Spectral irradiance, upward, reflected at sea ice surface at 395 nm; Spectral irradiance, upward, reflected at sea ice surface at 396 nm; Spectral irradiance, upward, reflected at sea ice surface at 397 nm; Spectral irradiance, upward, reflected at sea ice surface at 398 nm; Spectral irradiance, upward, reflected at sea ice surface at 399 nm; Spectral irradiance, upward, reflected at sea ice surface at 400 nm; Spectral irradiance, upward, reflected at sea ice surface at 401 nm; Spectral irradiance, upward, reflected at sea ice surface at 402 nm; Spectral irradiance, upward, reflected at sea ice surface at 403 nm; Spectral irradiance, upward, reflected at sea ice surface at 404 nm; Spectral irradiance, upward, reflected at sea ice surface at 405 nm; Spectral irradiance, upward, reflected at sea ice surface at 406 nm; Spectral irradiance, upward, reflected at sea ice surface at 407 nm; Spectral irradiance, upward, reflected at sea ice surface at 408 nm; Spectral irradiance, upward, reflected at sea ice surface at 409 nm; Spectral irradiance, upward, reflected at sea ice surface at 410 nm; Spectral irradiance, upward, reflected at sea ice surface at 411 nm; Spectral irradiance, upward, reflected at sea ice surface at 412 nm; Spectral irradiance, upward, reflected at sea ice surface at 413 nm; Spectral irradiance, upward, reflected at sea ice surface at 414 nm; Spectral irradiance, upward, reflected at sea ice surface at 415 nm; Spectral irradiance, upward, reflected at sea ice surface at 416 nm; Spectral irradiance, upward, reflected at sea ice surface at 417 nm; Spectral irradiance, upward, reflected at sea ice surface at 418 nm; Spectral irradiance, upward, reflected at sea ice surface at 419 nm; Spectral irradiance, upward, reflected at sea ice surface at 420 nm; Spectral irradiance, upward, reflected at sea ice surface at 421 nm; Spectral irradiance, upward, reflected at sea ice surface at 422 nm; Spectral irradiance, upward, reflected at sea ice surface at 423 nm; Spectral irradiance, upward, reflected at sea ice surface at 424 nm; Spectral
    Type: Dataset
    Format: text/tab-separated-values, 955680 data points
    Location Call Number Expected Availability
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  • 93
    facet.materialart.
    Unknown
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-03-02
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Code; DATE/TIME; Dew/frost point; Germany; HYGRO; Hygrometer; LIN; Lindenberg; Monitoring station; MONS; Past weather1; Past weather2; Present weather; Pressure, atmospheric; Station pressure; Temperature, air; Thermometer; Total cloud amount; Visual observation; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 6265 data points
    Location Call Number Expected Availability
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  • 94
    facet.materialart.
    Unknown
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-03-02
    Keywords: Baseline Surface Radiation Network; BSRN; Cloud base height; DATE/TIME; Germany; LIN; Lindenberg; Monitoring station; MONS
    Type: Dataset
    Format: text/tab-separated-values, 3422 data points
    Location Call Number Expected Availability
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  • 95
    facet.materialart.
    Unknown
    PANGAEA
    In:  Meteorologisches Observatorium Potsdam
    Publication Date: 2024-03-02
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; DATE/TIME; Dew/frost point; Germany; LIN; Lindenberg; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, Vaisala, RS41; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 782989 data points
    Location Call Number Expected Availability
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  • 96
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Albedo, fraction; Albedo, photosynthetically active; Albedo at 320 nm; Albedo at 321 nm; Albedo at 322 nm; Albedo at 323 nm; Albedo at 324 nm; Albedo at 325 nm; Albedo at 326 nm; Albedo at 327 nm; Albedo at 328 nm; Albedo at 329 nm; Albedo at 330 nm; Albedo at 331 nm; Albedo at 332 nm; Albedo at 333 nm; Albedo at 334 nm; Albedo at 335 nm; Albedo at 336 nm; Albedo at 337 nm; Albedo at 338 nm; Albedo at 339 nm; Albedo at 340 nm; Albedo at 341 nm; Albedo at 342 nm; Albedo at 343 nm; Albedo at 344 nm; Albedo at 345 nm; Albedo at 346 nm; Albedo at 347 nm; Albedo at 348 nm; Albedo at 349 nm; Albedo at 350 nm; Albedo at 351 nm; Albedo at 352 nm; Albedo at 353 nm; Albedo at 354 nm; Albedo at 355 nm; Albedo at 356 nm; Albedo at 357 nm; Albedo at 358 nm; Albedo at 359 nm; Albedo at 360 nm; Albedo at 361 nm; Albedo at 362 nm; Albedo at 363 nm; Albedo at 364 nm; Albedo at 365 nm; Albedo at 366 nm; Albedo at 367 nm; Albedo at 368 nm; Albedo at 369 nm; Albedo at 370 nm; Albedo at 371 nm; Albedo at 372 nm; Albedo at 373 nm; Albedo at 374 nm; Albedo at 375 nm; Albedo at 376 nm; Albedo at 377 nm; Albedo at 378 nm; Albedo at 379 nm; Albedo at 380 nm; Albedo at 381 nm; Albedo at 382 nm; Albedo at 383 nm; Albedo at 384 nm; Albedo at 385 nm; Albedo at 386 nm; Albedo at 387 nm; Albedo at 388 nm; Albedo at 389 nm; Albedo at 390 nm; Albedo at 391 nm; Albedo at 392 nm; Albedo at 393 nm; Albedo at 394 nm; Albedo at 395 nm; Albedo at 396 nm; Albedo at 397 nm; Albedo at 398 nm; Albedo at 399 nm; Albedo at 400 nm; Albedo at 401 nm; Albedo at 402 nm; Albedo at 403 nm; Albedo at 404 nm; Albedo at 405 nm; Albedo at 406 nm; Albedo at 407 nm; Albedo at 408 nm; Albedo at 409 nm; Albedo at 410 nm; Albedo at 411 nm; Albedo at 412 nm; Albedo at 413 nm; Albedo at 414 nm; Albedo at 415 nm; Albedo at 416 nm; Albedo at 417 nm; Albedo at 418 nm; Albedo at 419 nm; Albedo at 420 nm; Albedo at 421 nm; Albedo at 422 nm; Albedo at 423 nm; Albedo at 424 nm; Albedo at 425 nm; Albedo at 426 nm; Albedo at 427 nm; Albedo at 428 nm; Albedo at 429 nm; Albedo at 430 nm; Albedo at 431 nm; Albedo at 432 nm; Albedo at 433 nm; Albedo at 434 nm; Albedo at 435 nm; Albedo at 436 nm; Albedo at 437 nm; Albedo at 438 nm; Albedo at 439 nm; Albedo at 440 nm; Albedo at 441 nm; Albedo at 442 nm; Albedo at 443 nm; Albedo at 444 nm; Albedo at 445 nm; Albedo at 446 nm; Albedo at 447 nm; Albedo at 448 nm; Albedo at 449 nm; Albedo at 450 nm; Albedo at 451 nm; Albedo at 452 nm; Albedo at 453 nm; Albedo at 454 nm; Albedo at 455 nm; Albedo at 456 nm; Albedo at 457 nm; Albedo at 458 nm; Albedo at 459 nm; Albedo at 460 nm; Albedo at 461 nm; Albedo at 462 nm; Albedo at 463 nm; Albedo at 464 nm; Albedo at 465 nm; Albedo at 466 nm; Albedo at 467 nm; Albedo at 468 nm; Albedo at 469 nm; Albedo at 470 nm; Albedo at 471 nm; Albedo at 472 nm; Albedo at 473 nm; Albedo at 474 nm; Albedo at 475 nm; Albedo at 476 nm; Albedo at 477 nm; Albedo at 478 nm; Albedo at 479 nm; Albedo at 480 nm; Albedo at 481 nm; Albedo at 482 nm; Albedo at 483 nm; Albedo at 484 nm; Albedo at 485 nm; Albedo at 486 nm; Albedo at 487 nm; Albedo at 488 nm; Albedo at 489 nm; Albedo at 490 nm; Albedo at 491 nm; Albedo at 492 nm; Albedo at 493 nm; Albedo at 494 nm; Albedo at 495 nm; Albedo at 496 nm; Albedo at 497 nm; Albedo at 498 nm; Albedo at 499 nm; Albedo at 500 nm; Albedo at 501 nm; Albedo at 502 nm; Albedo at 503 nm; Albedo at 504 nm; Albedo at 505 nm; Albedo at 506 nm; Albedo at 507 nm; Albedo at 508 nm; Albedo at 509 nm; Albedo at 510 nm; Albedo at 511 nm; Albedo at 512 nm; Albedo at 513 nm; Albedo at 514 nm; Albedo at 515 nm; Albedo at 516 nm; Albedo at 517 nm; Albedo at 518 nm; Albedo at 519 nm; Albedo at 520 nm; Albedo at 521 nm; Albedo at 522 nm; Albedo at 523 nm; Albedo at 524 nm; Albedo at 525 nm; Albedo at 526 nm; Albedo at 527 nm; Albedo at 528 nm; Albedo at 529 nm; Albedo at 530 nm; Albedo at 531 nm; Albedo at 532 nm; Albedo at 533 nm; Albedo at 534 nm; Albedo at 535 nm; Albedo at 536 nm; Albedo at 537 nm; Albedo at 538 nm; Albedo at 539 nm; Albedo at 540 nm; Albedo at 541 nm; Albedo at 542 nm; Albedo at 543 nm; Albedo at 544 nm; Albedo at 545 nm; Albedo at 546 nm; Albedo at 547 nm; Albedo at 548 nm; Albedo at 549 nm; Albedo at 550 nm; Albedo at 551 nm; Albedo at 552 nm; Albedo at 553 nm; Albedo at 554 nm; Albedo at 555 nm; Albedo at 556 nm; Albedo at 557 nm; Albedo at 558 nm; Albedo at 559 nm; Albedo at 560 nm; Albedo at 561 nm; Albedo at 562 nm; Albedo at 563 nm; Albedo at 564 nm; Albedo at 565 nm; Albedo at 566 nm; Albedo at 567 nm; Albedo at 568 nm; Albedo at 569 nm; Albedo at 570 nm; Albedo at 571 nm; Albedo at 572 nm; Albedo at 573 nm; Albedo at 574 nm; Albedo at 575 nm; Albedo at 576 nm; Albedo at 577 nm; Albedo at 578 nm; Albedo at 579 nm; Albedo at 580 nm; Albedo at 581 nm; Albedo at 582 nm; Albedo at 583 nm; Albedo at 584 nm; Albedo at 585 nm; Albedo at 586 nm; Albedo at 587 nm; Albedo at 588 nm; Albedo at 589 nm; Albedo at 590 nm; Albedo at 591 nm; Albedo at 592 nm; Albedo at 593 nm; Albedo at 594 nm; Albedo at 595 nm; Albedo at 596 nm; Albedo at 597 nm; Albedo at 598 nm; Albedo at 599 nm; Albedo at 600 nm; Albedo at 601 nm; Albedo at 602 nm; Albedo at 603 nm; Albedo at 604 nm; Albedo at 605 nm; Albedo at 606 nm; Albedo at 607 nm; Albedo at 608 nm; Albedo at 609 nm; Albedo at 610 nm; Albedo at 611 nm; Albedo at 612 nm; Albedo at 613 nm; Albedo at 614 nm; Albedo at 615 nm; Albedo at 616 nm; Albedo at 617 nm; Albedo at 618 nm; Albedo at 619 nm; Albedo at 620 nm; Albedo at 621 nm; Albedo at 622 nm; Albedo at 623 nm; Albedo at 624 nm; Albedo at 625 nm; Albedo at 626 nm; Albedo at 627 nm; Albedo at 628 nm; Albedo at 629 nm; Albedo at 630 nm; Albedo at 631 nm; Albedo at 632 nm; Albedo at 633 nm; Albedo at 634 nm; Albedo at 635 nm; Albedo at 636 nm; Albedo at 637 nm; Albedo at 638 nm; Albedo at 639 nm; Albedo at 640 nm; Albedo at 641 nm; Albedo at 642 nm; Albedo at 643 nm; Albedo at 644 nm; Albedo at 645 nm; Albedo at 646 nm; Albedo at 647 nm; Albedo at 648 nm; Albedo at 649 nm; Albedo at 650 nm; Albedo at 651 nm; Albedo at 652 nm; Albedo at 653 nm; Albedo at 654 nm; Albedo at 655 nm; Albedo at 656 nm; Albedo at 657 nm; Albedo at 658 nm; Albedo at 659 nm; Albedo at 660 nm; Albedo at 661 nm; Albedo at 662 nm; Albedo at 663 nm; Albedo at 664 nm; Albedo at 665 nm; Albedo at 666 nm; Albedo at 667 nm; Albedo at 668 nm; Albedo at 669 nm; Albedo at 670 nm; Albedo at 671 nm; Albedo at 672 nm; Albedo at 673 nm; Albedo at 674 nm; Albedo at 675 nm; Albedo at 676 nm; Albedo at 677 nm; Albedo at 678 nm; Albedo at 679 nm; Albedo at 680 nm; Albedo at 681 nm; Albedo at 682 nm; Albedo at 683 nm; Albedo at 684 nm; Albedo at 685 nm; Albedo at 686 nm; Albedo at 687 nm; Albedo at 688 nm; Albedo at 689 nm; Albedo at 690 nm; Albedo at 691 nm; Albedo at 692 nm; Albedo at 693 nm; Albedo at 694 nm; Albedo at 695 nm; Albedo at 696 nm; Albedo at 697 nm; Albedo at 698 nm; Albedo at 699 nm; Albedo at 700 nm; Albedo at 701 nm; Albedo at 702 nm; Albedo at 703 nm; Albedo at 704 nm; Albedo at 705 nm; Albedo at 706 nm; Albedo at 707 nm; Albedo at 708 nm; Albedo at 709 nm; Albedo at 710 nm; Albedo at 711 nm; Albedo at 712 nm; Albedo at 713 nm; Albedo at 714 nm; Albedo at 715 nm; Albedo at 716 nm; Albedo at 717 nm; Albedo at 718 nm; Albedo at 719 nm; Albedo at 720 nm; Albedo at 721 nm; Albedo at 722 nm; Albedo at 723 nm; Albedo at 724 nm; Albedo at 725 nm; Albedo at 726 nm; Albedo at 727 nm; Albedo at 728 nm; Albedo at 729 nm; Albedo at 730 nm; Albedo at 731 nm; Albedo at 732 nm; Albedo at 733 nm; Albedo at 734 nm; Albedo at 735 nm; Albedo at 736 nm; Albedo at 737 nm; Albedo at 738 nm; Albedo at 739 nm; Albedo at 740 nm; Albedo at 741 nm; Albedo at 742 nm; Albedo at 743 nm; Albedo at 744 nm; Albedo at 745 nm; Albedo at 746 nm; Albedo at 747 nm; Albedo at 748 nm; Albedo at 749 nm; Albedo at 750 nm; Albedo at 751 nm; Albedo at 752 nm; Albedo at 753 nm; Albedo at 754 nm; Albedo at 755 nm; Albedo at 756 nm; Albedo at 757 nm; Albedo at 758
    Type: Dataset
    Format: text/tab-separated-values, 727332 data points
    Location Call Number Expected Availability
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  • 97
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calculated; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; Irradiance, incident; Irradiance, incident, photosynthetically active; Irradiance, incident, photosynthetically active, absolute; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, sun elevation; Sea Ice Physics @ AWI; snow depth; solar radiation; Spectral irradiance, incident at 320 nm; Spectral irradiance, incident at 321 nm; Spectral irradiance, incident at 322 nm; Spectral irradiance, incident at 323 nm; Spectral irradiance, incident at 324 nm; Spectral irradiance, incident at 325 nm; Spectral irradiance, incident at 326 nm; Spectral irradiance, incident at 327 nm; Spectral irradiance, incident at 328 nm; Spectral irradiance, incident at 329 nm; Spectral irradiance, incident at 330 nm; Spectral irradiance, incident at 331 nm; Spectral irradiance, incident at 332 nm; Spectral irradiance, incident at 333 nm; Spectral irradiance, incident at 334 nm; Spectral irradiance, incident at 335 nm; Spectral irradiance, incident at 336 nm; Spectral irradiance, incident at 337 nm; Spectral irradiance, incident at 338 nm; Spectral irradiance, incident at 339 nm; Spectral irradiance, incident at 340 nm; Spectral irradiance, incident at 341 nm; Spectral irradiance, incident at 342 nm; Spectral irradiance, incident at 343 nm; Spectral irradiance, incident at 344 nm; Spectral irradiance, incident at 345 nm; Spectral irradiance, incident at 346 nm; Spectral irradiance, incident at 347 nm; Spectral irradiance, incident at 348 nm; Spectral irradiance, incident at 349 nm; Spectral irradiance, incident at 350 nm; Spectral irradiance, incident at 351 nm; Spectral irradiance, incident at 352 nm; Spectral irradiance, incident at 353 nm; Spectral irradiance, incident at 354 nm; Spectral irradiance, incident at 355 nm; Spectral irradiance, incident at 356 nm; Spectral irradiance, incident at 357 nm; Spectral irradiance, incident at 358 nm; Spectral irradiance, incident at 359 nm; Spectral irradiance, incident at 360 nm; Spectral irradiance, incident at 361 nm; Spectral irradiance, incident at 362 nm; Spectral irradiance, incident at 363 nm; Spectral irradiance, incident at 364 nm; Spectral irradiance, incident at 365 nm; Spectral irradiance, incident at 366 nm; Spectral irradiance, incident at 367 nm; Spectral irradiance, incident at 368 nm; Spectral irradiance, incident at 369 nm; Spectral irradiance, incident at 370 nm; Spectral irradiance, incident at 371 nm; Spectral irradiance, incident at 372 nm; Spectral irradiance, incident at 373 nm; Spectral irradiance, incident at 374 nm; Spectral irradiance, incident at 375 nm; Spectral irradiance, incident at 376 nm; Spectral irradiance, incident at 377 nm; Spectral irradiance, incident at 378 nm; Spectral irradiance, incident at 379 nm; Spectral irradiance, incident at 380 nm; Spectral irradiance, incident at 381 nm; Spectral irradiance, incident at 382 nm; Spectral irradiance, incident at 383 nm; Spectral irradiance, incident at 384 nm; Spectral irradiance, incident at 385 nm; Spectral irradiance, incident at 386 nm; Spectral irradiance, incident at 387 nm; Spectral irradiance, incident at 388 nm; Spectral irradiance, incident at 389 nm; Spectral irradiance, incident at 390 nm; Spectral irradiance, incident at 391 nm; Spectral irradiance, incident at 392 nm; Spectral irradiance, incident at 393 nm; Spectral irradiance, incident at 394 nm; Spectral irradiance, incident at 395 nm; Spectral irradiance, incident at 396 nm; Spectral irradiance, incident at 397 nm; Spectral irradiance, incident at 398 nm; Spectral irradiance, incident at 399 nm; Spectral irradiance, incident at 400 nm; Spectral irradiance, incident at 401 nm; Spectral irradiance, incident at 402 nm; Spectral irradiance, incident at 403 nm; Spectral irradiance, incident at 404 nm; Spectral irradiance, incident at 405 nm; Spectral irradiance, incident at 406 nm; Spectral irradiance, incident at 407 nm; Spectral irradiance, incident at 408 nm; Spectral irradiance, incident at 409 nm; Spectral irradiance, incident at 410 nm; Spectral irradiance, incident at 411 nm; Spectral irradiance, incident at 412 nm; Spectral irradiance, incident at 413 nm; Spectral irradiance, incident at 414 nm; Spectral irradiance, incident at 415 nm; Spectral irradiance, incident at 416 nm; Spectral irradiance, incident at 417 nm; Spectral irradiance, incident at 418 nm; Spectral irradiance, incident at 419 nm; Spectral irradiance, incident at 420 nm; Spectral irradiance, incident at 421 nm; Spectral irradiance, incident at 422 nm; Spectral irradiance, incident at 423 nm; Spectral irradiance, incident at 424 nm; Spectral irradiance, incident at 425 nm; Spectral irradiance, incident at 426 nm; Spectral irradiance, incident at 427 nm; Spectral irradiance, incident at 428 nm; Spectral irradiance, incident at 429 nm; Spectral irradiance, incident at 430 nm; Spectral irradiance, incident at 431 nm; Spectral irradiance, incident at 432 nm; Spectral irradiance, incident at 433 nm; Spectral irradiance, incident at 434 nm; Spectral irradiance, incident at 435 nm; Spectral irradiance, incident at 436 nm; Spectral irradiance, incident at 437 nm; Spectral irradiance, incident at 438 nm; Spectral irradiance, incident at 439 nm; Spectral irradiance, incident at 440 nm; Spectral irradiance, incident at 441 nm; Spectral irradiance, incident at 442 nm; Spectral irradiance, incident at 443 nm; Spectral irradiance, incident at 444 nm; Spectral irradiance, incident at 445 nm; Spectral irradiance, incident at 446 nm; Spectral irradiance, incident at 447 nm; Spectral irradiance, incident at 448 nm; Spectral irradiance, incident at 449 nm; Spectral irradiance, incident at 450 nm; Spectral irradiance, incident at 451 nm; Spectral irradiance, incident at 452 nm; Spectral irradiance, incident at 453 nm; Spectral irradiance, incident at 454 nm; Spectral irradiance, incident at 455 nm; Spectral irradiance, incident at 456 nm; Spectral irradiance, incident at 457 nm; Spectral irradiance, incident at 458 nm; Spectral irradiance, incident at 459 nm; Spectral irradiance, incident at 460 nm; Spectral irradiance, incident at 461 nm; Spectral irradiance, incident at 462 nm; Spectral irradiance, incident at 463 nm; Spectral irradiance, incident at 464 nm; Spectral irradiance, incident at 465 nm; Spectral irradiance, incident at 466 nm; Spectral irradiance, incident at 467 nm; Spectral irradiance, incident at 468 nm; Spectral irradiance, incident at 469 nm; Spectral irradiance, incident at 470 nm; Spectral irradiance, incident at 471 nm; Spectral irradiance, incident at 472 nm; Spectral irradiance, incident at 473 nm; Spectral irradiance, incident at 474 nm; Spectral irradiance, incident at 475 nm; Spectral irradiance, incident at 476 nm; Spectral irradiance, incident at 477 nm; Spectral irradiance, incident at 478 nm; Spectral irradiance, incident at 479 nm; Spectral irradiance, incident at 480 nm; Spectral irradiance, incident at 481 nm; Spectral irradiance, incident at 482 nm; Spectral irradiance, incident at 483 nm; Spectral irradiance, incident at 484 nm; Spectral irradiance, incident at 485 nm; Spectral irradiance, incident at 486 nm; Spectral irradiance, incident at 487 nm; Spectral irradiance, incident at 488 nm; Spectral irradiance, incident at 489 nm; Spectral irradiance, incident at 490 nm; Spectral irradiance, incident at 491 nm; Spectral irradiance, incident at 492 nm; Spectral irradiance, incident at 493 nm; Spectral irradiance, incident at 494 nm; Spectral irradiance, incident at 495 nm; Spectral irradiance, incident at 496 nm; Spectral irradiance, incident at 497 nm; Spectral irradiance, incident at 498 nm;
    Type: Dataset
    Format: text/tab-separated-values, 955680 data points
    Location Call Number Expected Availability
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  • 98
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; Battery, voltage; BRS; buoy; Buoy, radiation station; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Humidity, relative, technical; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Pressure, atmospheric; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, technical
    Type: Dataset
    Format: text/tab-separated-values, 34050 data points
    Location Call Number Expected Availability
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  • 99
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; Backscatter strength; BRS; buoy; Buoy, radiation station; chlorophyll; Chlorophyll a; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Fluorescence, dissolved organic matter; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; PS122/1_1-167, 2019R8; Quality flag, position; Sea Ice Physics @ AWI; snow depth; solar radiation
    Type: Dataset
    Format: text/tab-separated-values, 116176 data points
    Location Call Number Expected Availability
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  • 100
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-05
    Description: Solar radiation over and under sea ice was measured by radiation station 2019R8, an autonomous platform, installed on drifting First-Year-Ice (FYI) in the Arctic Ocean during MOSAiC (Leg 1) 2019/20. The resulting time series describes radiation measurements as a function of place and time between 05 October 2019 and 31 July 2020 in sample intervals of 3 hours. The radiation measurements have been performed with spectral radiometers. All data are given in full spectral resolution interpolated to 1.0 nm, and integrated over the entire wavelength range (broadband, total: 320 to 950 nm). Two sensors, solar irradiance and upward reflected solar irradiance, were mounted on a on a platform about 1 m above the sea ice surface. The third sensor was mounted 0.5 m underneath the sea ice measuring the downward transmitted irradiance. Along with the radiation measurements, this autonomous platform consisted of a 5 m long thermistor chain with sensor spacing of 0.02 m and several other sensor packages, which measured water temperature, pressure and conductivity at hourly intervals. Ecology sensors measured backscatter strength, chlorophyll a and fluorescence of dissolved organic matter at hourly intervals. Oxygen sensors measured relative oxygen air saturation, and water temperature at hourly intervals. In addition, relative snow height was measured at hourly intervals. All times are given in UTC.
    Keywords: AF-MOSAiC-1; AF-MOSAiC-1_88; Akademik Fedorov; Amplitude, measured with blue excitation light; Amplitude, measured with red excitation light; Arctic Ocean; autonomous platform; AWI_SeaIce; Backscatter; BRS; buoy; Buoy, radiation station; Calibrated phase; chlorophyll; Conductivity; Current sea ice maps for Arctic and Antarctic; DATE/TIME; drift; FDOM; Ice mass balance; LATITUDE; LONGITUDE; meereisportal.de; MOSAiC; MOSAiC20192020, AF122/1; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Oxygen; Phase, measurement with blue excitation light; Phase, measurement with red excitation light; PS122/1_1-167, 2019R8; Quality flag, position; Saturation, air, relative; Sea Ice Physics @ AWI; snow depth; solar radiation; Temperature, water; Temperature compensated phase; Voltage, thermistor bridge
    Type: Dataset
    Format: text/tab-separated-values, 79871 data points
    Location Call Number Expected Availability
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