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  • Springer  (3,531,828)
  • American Physical Society  (663,490)
  • PANGAEA  (422,945)
  • Blackwell Publishing Ltd  (182,058)
  • American Association for the Advancement of Science (AAAS)
  • MDPI Publishing
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  • 1
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    Integrated Access to Multidisciplinary Data Through Semantically Interoperable Services in a Metadata-Driven Platform for Solid Earth Science (2024)
    Springer
    Details
    Publication Date: 2024-01-30
    Description: The ability to use data produced by different sources (social networks, governments, weather sensors etc.) is widely recognized as a key to capitalize the value of data. In the scientific field, such usage may incredibly boost the innovation and foster new discoveries. However, one of the main hurdles is currently represented by the difficulties in achieving the required interoperability to provide integrated access to multi-disciplinary data. The current work presents a metadata-driven approach that uses in a combined way metadata, semantics, and services as key components for providing integrated access to heterogeneous data sources. The integration occurs within a central data integration system, which is driven by a rich metadata catalogue and that can present the data provided by the different data sources in a harmonised way to the end user, by means of RESTful APIs. A real application demonstrating metadata-driven semantic and service interoperability for achieving homogeneous access to multi-disciplinary heterogeneous data sources is illustrated in the case of EPOS, a Research Infrastructure for Solid Earth Science. The advantages in terms of ease of maintenance, of flexibility in plugging different standard without perturbating communities’ long-lasting technical practices, and of ability to track provenance are discussed. Future work for providing open-source implementation of a system built following the proposed approach is also envisaged.
    Description: Published
    Description: 235–247
    Description: OST5 Verso un nuovo Monitoraggio
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 2
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    SHAPEness: A SHACL-Driven Metadata Editor (2024)
    Springer
    Details
    Publication Date: 2024-01-30
    Description: The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define constraints for validating RDF graphs. In this paper a novel SHACL-driven multi-view editor is presented: SHAPEness. It empowers users by offering them a rich interface for assessing and improving the quality of metadata represented as RDF graphs. SHAPEness has been developed and tested in the framework of the European Plate Observing System (EPOS). In this context, the SHAPEness features have proven to be a valuable solution to easily create and maintain valid graphs according to the EPOS data model. The SHACL-driven approach underpinning SHAPEness, makes this tool suitable for a broad range of domains, or use cases, which structure their knowledge by means of SHACL constraints.
    Description: Published
    Description: 274–288
    Description: OST5 Verso un nuovo Monitoraggio
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 3
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    Flow front mobility of rock avalanches as a function of flow volume, grain size, channel width, basal friction and flow scale (2024)
    Springer
    Details
    Publication Date: 2024-02-01
    Description: The ability to predict the mobility of rock avalanches is necessary when designing strategies to mitigate the risks they pose. A popular mobility indicator of the flow front is the Heim’s apparent friction coefficient muH. In the field, muH shows a decrease in value as flow volume V increases. But this correlation has been a mystery as to whether it is due to a causal relationship between V and mobility since: (1) field data of muH do not collapse onto a single curve because typically widely scattered and (2) laboratory experiments have shown an opposite volume effect on the center of mass mobility of miniature flows. My numerical simulations confirm for the first time the existence of a functional relationship of scaling parameters where muH decreases as V increases in unsteady and nonuniform 3D flows. Data scatter is caused by muH that is affected by numerous other variables besides V. The interplay of these variables produces different granular regimes with opposite volume effects. In particular, muH decreases as V increases in the regime characterized by a relatively rough subsurface. The relationship holds for large-scale flows that, like rock avalanches, consist of a very large number of fine clasts traveling in wide channels. In these dense flows, flow front mobility increases as flow volume increases, as channel width increases, as grain size decreases, as basal friction decreases and as flow scale increases. Larger-scale flows are more mobile because they have larger Froude number values.
    Description: In press
    Description: OSV1: Verso la previsione dei fenomeni vulcanici pericolosi
    Description: JCR Journal
    Keywords: Pyroclastic Flows ; Rock Avalanches ; Flow Front ; Mobility
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 4
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    When the lava meets the sea: emplacement of the 2–4 ka San Bartolo lava flow field, Stromboli volcano (Italy) (2024)
    Springer
    Details
    Publication Date: 2024-04-29
    Description: When a lava flow enters a body of water, either a lake, sea, river or ocean, explosive interaction may arise. However, when it is an 'a'ā lava flow entering water, a more complex interaction occurs, that is very poorly described and documented in literature. In this paper, we analysed the 2–4 ka San Bartolo lava flow field emplaced on the north flank of Stromboli volcano, Italy. The lava flow field extends from ~ 650 m a.s.l. where the eruptive fissure is located, with two lava channels being apparent on the steep down to the coast. Along the coast the lava flow field expands to form a lava delta ~ 1 km wide characterised by 16 lava ‘Flow’ units. We performed a field survey to characterise the features of lava entering the sea and the associated formation of different components and magnetic measurements to infer the flow fabrics and emplacement process of the lava flow system. We measured the density, porosity and connectivity of several specimens to analyse the effect of lava-water interaction on the content in vesicles and their connectivity and conducted a macroscopic componentry analysis (clast count) at selected sites to infer the character of the eroded offshore segment of the lava flow field and its component flow units. The collected data allowed us to define the main components of a lava delta fed by 'a'ā lava flows, with its channels, littoral units, ramps, lava tubes, and inflated pāhoehoe flows controlled by the arterial 'a'ā flow fronts. The spatial organisation of these components allowed us to build a three-step descriptive model for 'a'ā entering a water. The initial stage corresponds to the entry of channel-fed 'a'ā lava flow into the sea which fragments to form metric blocks of 'a'ā lava. Continued lava supply to the foreshore causes flow units to stall while spreading over this substrate. Subsequent 'a'ā lava flow units ramp up behind the stalled flow front barrier. Lava tubes extending through the stalled flow barrier feed the seaward extension of a bench made of several pāhoehoe flow units.
    Description: Open access funding provided by Università degli Studi di Torino within the CRUI-CARE Agreement. This project is a part of RS PhD project. This research was funded by MIUR ex-60% attributed to EZ and PhD grants-Budget 10% attributed to RS. Also, it was partially funded by the Project FIRST (ForecastIng eRuptive activity at Stromboli volcano: Timing, eruptive style, size, intensity, and duration), INGV-Progetto Strategico Dipartimento Vulcani 2019 (Delibera n. 144/2020). This is contribution no. 637 of the ClerVolc program of the International Research Center for Disaster Sciences and Sustainable Development of the University of Clermont Auvergne.
    Description: Published
    Description: 50
    Description: OSV1: Verso la previsione dei fenomeni vulcanici pericolosi
    Description: JCR Journal
    Keywords: Stromboli volcano ; flank eruptions ; Lava flows
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 5
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    Water resources management for a sustainable nexus of hydrogeoethics and societal well-being (2024)
    Springer
    Details
    Publication Date: 2024-04-24
    Description: Groundwater is a vital resource for humans, non-human species, and ecosystems. It has allowed the development of human evolution and civilizations throughout history (e.g., Wittfogel 1956, Tempelhoff et al. 2009, Cuthbert and Ashley 2014, Roberts 2014). However, it faces multiple potential threats that make it vulnerable and fragile. Climate change and human activities are the primary causes that have led to water cycle disruptions, particularly a decline in groundwater quality and quantity (e.g., Gleeson et al. 2020, Chaminé et al. 2022, Richardson et al. 2023). Climate variability has induced droughts, floods, and other extreme weather conditions, significantly impacting groundwater in many regions. Meanwhile, human activities such as over-abstraction, ground contamination, deforestation, land-use change, and other anthropogenic pressures have further compromised groundwater status. Nonetheless, groundwater continues to fulfill water demands in many regions or during specific periods. Therefore, concerted efforts are imperative to ensure its sustainability. So, conservation practices and nature-based solutions must be adopted to efficiently manage groundwater and shield it from additional potential hazards or risks (e.g., contamination, pollution, or over-abstraction). Failure to act quickly can result in the loss of this critical resource, with severe consequences for the economy, society, and ecosystems. From this perspective, it is imperative to prioritize actions underscored by technical-scientific integrity, environmental responsibility, societal sensitivity, and ethical practices.
    Description: Published
    Description: 97
    Description: OS: Terza missione
    Description: OSA5: Energia e georisorse
    Description: JCR Journal
    Keywords: groundwater ; resource management ; sustainability ; hydrogeoethics ; geoethics ; societal well-being ; 05.03. Educational, History of Science, Public Issues ; 03.02. Hydrology ; 04.04. Geology ; 05.09. Miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 6
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    Phase Field Modeling of Cracks in Ice (2024)
    Springer
    In:  EPIC3Springer, 24 p., pp. 281-304, ISBN: 9783031455537
    Details
    Publication Date: 2024-01-08
    Description: Calving of iceberg at ice shelves and floating glacier tongues is a poorly understood process, hence a physically motivated calving law is not yet existing. The demands on developing appropriate models for calving is large, as calving rates are needed for large scale ice sheet models that simulate the evolution of ice sheets. Here, we present a new approach for simulating fracture in ice. Our model is based on a finite strain theory for a viscoelastic Maxwell material, as the large simulation time leads to high strains. The fracturing process is simulated using a fracture phase field model that takes into account the elastic strain energy. We conduct simulations for a typical calving front geometry, with ice rises governing the formation of cracks. To represent the stress state adequately, we first conduct a spin-up to allow the viscous contribution to develop before the fracture phase field is computed. The analysis comprises the assessment of the crack path in comparison to observations, the influence of the spin-up, as well as elastic versus viscous strain contributions based on Hencky strain. Additionally, an estimate of released energy based on high resolution optical imagery of a Greenlandic calving front is presented.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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  • 7
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    Linking the Langevin equation to scaling properties of space plasma turbulence at sub-ion scales (2024)
    American Physical Society
    Details
    Publication Date: 2024-04-30
    Description: Current understanding of the kinetic-scale turbulence in weakly collisional plasmas still remains elusive. We employ a general framework in which the turbulent energy transfer is envisioned as a scale-to-scale Langevin process. Fluctuations in the sub-ion range show a global scale invariance, thus suggesting a homogeneous energy repartition. In this Letter, we interpret such a feature by linking the drift term of the Langevin equation to scaling properties of fluctuations. Theoretical expectations are verified on solar wind observations and numerical simulations, thus giving relevance to the proposed framework for understanding kinetic-scale turbulence in space plasmas.
    Description: Published
    Description: L042014
    Description: OSA3: Climatologia e meteorologia spaziale
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 8
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    Qβ, Qc, Qi, Qs of the Gargano Promontory (Southern Italy) (2024)
    Springer
    Details
    Publication Date: 2024-03-12
    Description: We have provided the first estimate of scat- tering and intrinsic attenuation for the Gargano Prom- ontory (Southern Italy) analyzing 190 local earthquakes with M L ranging from 1.0 to 2.8. To separate the intrin- sic Q i and scattering Q s quality factors with the Wen- nerberg approach (1993), we have measured the direct S waves and coda quality factors ( Q 𝛽 , Q c ) in the same volume of crust. Q 𝛽 parameter is derived with the coda normalization method (Aki 1980) and Q c factor is derived with the coda envelope decay method (Sato 1977). We selected the coda envelope by performing an automatic picking procedure from T start = 1.5T S up to 30 s after origin time (lapse time T L ). All the obtained quality factors clearly increase with frequency. The Q c values correspond to those recently obtained for the area. The estimated Q i are comparable to the Q c at all frequencies and range between 100 and 1000. The Q s parameter shows higher values than Q i , except for 8 Hz, where the two estimates are closer. This implies a pre- dominance of intrinsic attenuation over the scattering attenuation. Furthermore, the similarity between Q i and Q c allows us to interpret the high Q c anomaly previ- ously found in the northern Gargano Promontory up to a depth of 24 km, as a volume of crust characterized by very low seismic dumping produced by conversion of seismic energy into heat. Moreover, most of the earth- quake foci fall in high Q i areas, indicating lower level of anelastic dumping and a brittle behavior of rocks.
    Description: Published
    Description: 827-846
    Description: OST1 Alla ricerca dei Motori Geodinamici
    Description: JCR Journal
    Keywords: Seismic attenuation · Coda normalization method · Intrinsic quality factor · Scattering quality factor · Southern Italy · Gargano Promontory · OTRIONS seismic network ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 9
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    Global and regional temperature change over the past 4.5 million years (2024)
    American Association for the Advancement of Science (AAAS)
    In:  EPIC3Science, American Association for the Advancement of Science (AAAS), 383(6685), pp. 884-890, ISSN: 0036-8075
    Details
    Publication Date: 2024-03-21
    Description: Much of our understanding of Cenozoic climate is based on the record of δ18O measured in benthic foraminifera. However, this measurement reflects a combined signal of global temperature and sea level, thus preventing a clear understanding of the interactions and feedbacks of the climate system in causing global temperature change. Our new reconstruction of temperature change over the past 4.5 million years includes two phases of long-term cooling, with the second phase of accelerated cooling during the Middle Pleistocene Transition (1.5 to 0.9 million years ago) being accompanied by a transition from dominant 41,000-year low-amplitude periodicity to dominant 100,000-year high-amplitude periodicity. Changes in the rates of long-term cooling and variability are consistent with changes in the carbon cycle driven initially by geologic processes, followed by additional changes in the Southern Ocean carbon cycle. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
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    Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA (2024)
    Springer
    Details
    Publication Date: 2024-05-16
    Description: This review summarizes what the volcanology community has learned thus far from studying the deposits of pyroclastic currents (PCs) from the 1980 eruption sequence at Mount St. Helens. The review includes mass flow events during the May 18 eruption, including the lateral blast, the afternoon column collapse and boil-over PC activity, and some aspects of the debris avalanche. We also include a summary of PCs generated in the smaller eruptions following the climactic May 18 event. Our objective is to summarize the state of our understanding of PC transport and emplacement mechanisms from the combination of field and laboratory observations, granular flow experiments, and numerical modeling techniques. Specifically, we couple deposit characteristics, experiments, and numerical modeling techniques to critically address the problems of (1) constraining conditions in the flow boundary zone at the time of deposition; (2) the influence of substrate roughness and topography on PC behavior; (3) the prevalence, causes, and consequences of substrate erosion by PCs; and (4) the reconstruction of PC transportation and sedimentation processes from a combination of geophysical and sedimentological observations. We conclude by providing opportunities for future research as our field, experimental, and numerical research techniques advance.
    Description: Published
    Description: 24
    Description: OSV2: Complessità dei processi vulcanici: approcci multidisciplinari e multiparametrici
    Description: JCR Journal
    Keywords: numerical modeling, mount St. Helens, physical volcanology ; 04.08. Volcanology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 11
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    Distribution of the invasive alien species Cotula coronopifolia L. (Asteraceae) relating to water halinity and sodicity in the Variconi wetland (Campania, southern Italy) (2024)
    Springer
    Details
    Publication Date: 2024-05-27
    Description: Invasive alien species represent one of the main environmental threats to native biodiversity and can also strongly alter the biogeochemical cycles within an ecosystem. This study aims to define the distribution of the invasive alien species Cotula cor-onopifolia L. within the protected wetland "Variconi" (Campania region, southern Italy) and evaluate the potential role of water geochemical features as interpretation tools for pattern distribution. The presence of C. coronopifolia was assessed in the field, and a distribution map was drawn; concomitantly thirty-nine water samples were collected from groundwater and surface water bodies for chemical analyses. The results showed that C. coronopifolia preferentially colonized the sector of the wetland characterized by high halinity, while it is totally absent in retrodunal and sandy coastal area with very high halinity. The cartography presented can be used as a tool to help target future management interventions. Through our multidisciplinary approach, new evidence has been provided on the ecology of this invasive alien plant that occupies several wetlands worldwide. The replicability of this method may be useful to assess the level of invasion of an alien species but also to predict its evolution as a function of environmental parameters.
    Description: Published
    Description: 1653–1668
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 12
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    The temperatures recorded from January 2020 to February 2023 in the 3 Diffuse Degassing Zone of the active cone of La Fossa Caldera (2024)
    Springer
    Details
    Publication Date: 2024-05-27
    Description: Active volcanoes show many mild thermal anomalies, because the ground surface is sensible to changes in the advective processes, occurring through the network of fissures. This data report shows the temperatures, recorded from January 2020 to February 2023, by a remote-controlled monitoring station. The VCS station is located on the summit of La Fossa cone (Vulcano, Aeolian Islands), in a zone of intense diffuse degassing. The temperature data, hourly registered at VCS, are available in the supplementary Excel file. The thermal data are part of the comprehensive network, performed by the Istituto Nazionale di Geofisica e Vulcanologia, for volcanic surveillance. On the Island of Vulcano, the active volcanic system under la Fossa caldera has been affected by multiple exhaling crises, interpreted as unrest of volcanic activity. The temperature time series provided reference data showing the thermal transition of the volcanic ground surface from a background degassing condition, through unrest, to the new thermal condition that followed the unrest period.
    Description: OvFu 0304.010 - Italian Presidenza del Consiglio dei Ministri—Dipartimento della Protezione Civile
    Description: Published
    Description: 40
    Description: OSV2: Complessità dei processi vulcanici: approcci multidisciplinari e multiparametrici
    Description: JCR Journal
    Keywords: heat flux ; time series ; Unrest ; Vulcano ; diffuse degassing ; thermal monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 13
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    Heatwave responses of Arctic phytoplankton communities are driven by combined impacts of warming and cooling. (2024)
    American Association for the Advancement of Science (AAAS)
    In:  EPIC3Sci Adv, American Association for the Advancement of Science (AAAS), 10(20), pp. eadl5904-eadl5904, ISSN: 2375-2548
    Details
    Publication Date: 2024-05-22
    Description: Marine heatwaves are increasing in frequency and intensity as climate change progresses, especially in the highly productive Arctic regions. Although their effects on primary producers will largely determine the impacts on ecosystem services, mechanistic understanding on phytoplankton responses to these extreme events is still very limited. We experimentally exposed Arctic phytoplankton assemblages to stable warming, as well as to repeated heatwaves, and measured temporally resolved productivity, physiology, and composition. Our results show that even extreme stable warming increases productivity, while the response to heatwaves depends on the specific scenario applied and is not predictable from stable warming responses. This appears to be largely due to the underestimated impact of the cool phase following a heatwave, which can be at least as important as the warm phase for the overall response. We show that physiological and compositional adjustments to both warm and cool phases drive overall phytoplankton productivity and need to be considered mechanistically to predict overall ecosystem impacts.
    Repository Name: EPIC Alfred Wegener Institut
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  • 14
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    Octopus crawling on land: physiological and biochemical responses of Octopus vulgaris to emersion (2024)
    Springer
    Details
    Publication Date: 2023-12-18
    Description: Cephalopods are well known for their cognitive capabilities and unique behavioural repertoires. Yet, certain life strategies and behaviours are still not fully understood. For instance, coastal octopuses have been documented (mainly through citizen science and TV documentaries) to occasionally leave the water and crawl in intertidal areas. Yet, there is a complete lack of knowledge on this behaviour's physiological and biochemical basis. Within this context, this study aimed to investigate, for the first time, physiological (routine and maximum metabolic rates and aerobic scope) and biochemical (i.e., antioxidant enzymes activities, heat shock protein and ubiquitin levels, DNA damage, lipid peroxidation) responses of the common octopus, Octopus vulgaris, to emersion. The octopuses’ physiological performance was determined by measuring metabolic rates in different emersion treatments and biochemical markers. The size-adjusted maximum metabolic rates (MMRadj) of octopuses exposed to 2:30 min of air exposure followed by re-immersion did not differ significantly from the MMRadj of the chased individuals (control group). Yet, most biochemical markers revealed no significant differences among the different emersion treatments. Our findings showed that O. vulgaris could tolerate exposure to short-term emersion periods due to an efficient antioxidant machinery and cellular repair mechanisms. Alongside, we argue that the use of atmospheric air through the mucus-covered gills and/or cutaneous respiration may also help octopus withstand emersion and crawling on land.
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  • 15
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    Synthesis and outlook on future research and scientific education in southern Africa (2024)
    Springer
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    Publication Date: 2024-01-07
    Description: The sustainability of southern Africa’s natural and managed marine and terrestrial ecosystems is threatened by overuse, mismanagement, population pressures, degradation, and climate change. Counteracting unsustainable development requires a deep understanding of earth system processes and how these are affected by ongoing and anticipated global changes. This information must be translated into practical policy and management interventions. Climate models project that the rate of terrestrial warming in southern Africa is above the global terrestrial average. Moreover, most of the region will become drier. Already there is evidence that climate change is disrupting ecosystem functioning and the provision of ecosystem services. This is likely to continue in the foreseeable future, but impacts can be partly mitigated through urgent implementation of appropriate policy and management interventions to enhance resilience and sustainability of the ecosystems. The recommendations presented in the previous chapters are informed by a deepened scientific understanding of the relevant earth system processes, but also identify research and knowledge gaps. Ongoing disciplinary research remains critical, but needs to be complemented with cross-disciplinary and transdisciplinary research that can integrate across temporal and spatial scales to give a fuller understanding of not only individual components of the complex earth-system, but how they interact.
    Type: Book chapter , NonPeerReviewed
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  • 16
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    Unique southern African terrestrial and oceanic biomes and their relation to steep environmental gradients (2024)
    Springer
    Details
    Publication Date: 2024-01-07
    Description: The southern African subcontinent and its surrounding oceans accommodate globally unique ecoregions, characterized by exceptional biodiversity and endemism. This diversity is shaped by extended and steep physical gradients or environmental discontinuities found in both ocean and terrestrial biomes. The region’s biodiversity has historically been the basis of life for indigenous cultures and continues to support countless economic activities, many of them unsustainable, ranging from natural resource exploitation, an extensive fisheries industry and various forms of land use to nature-based tourism. Being at the continent’s southern tip, terrestrial species have limited opportunities for adaptive range shifts under climate change, while warming is occurring at an unprecedented rate. Marine climate change effects are complex, as warming may strengthen thermal stratification, while shifts in regional wind regimes influence ocean currents and the intensity of nutrient-enriching upwelling. The flora and fauna of marine and terrestrial southern African biomes are of vital importance for global biodiversity conservation and carbon sequestration. They thus deserve special attention in further research on the impacts of anthropogenic pressures including climate change. Excellent preconditions exist in the form of long-term data sets of high quality to support scientific advice for future sustainable management of these vulnerable biomes.
    Type: Book chapter , NonPeerReviewed
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  • 17
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    Molecular fossils in reefal carbonates and sponges of the deep fore reef of Mayotte and Mohéli, Comoro Islands, western Indian Ocean (2024)
    Springer
    Details
    Publication Date: 2024-01-12
    Description: Microbial carbonates are common components of Quaternary tropical coral reefs. Previous studies revealed that sulfate-reducing bacteria trigger microbial carbonate precipitation in supposedly cryptic reef environments. Here, using petrography, lipid biomarker analysis, and stable isotope data, we aim to understand the formation mechanism of microbial carbonate enclosed in deep fore reef limestones from Mayotte and Mohéli, Comoro Islands, which differ from other reefal microbial carbonates in that they contain less microbial carbonate and are dominated by numerous sponges. To discern sponge-derived lipids from lipids enclosed in microbial carbonate, lipid biomarker inventories of diverse sponges from the Mayotte and Mohéli reef systems were examined. Abundant peloidal, laminated, and clotted textures point to a microbial origin of the authigenic carbonates, which is supported by ample amounts of mono- O -alkyl glycerol monoethers (MAGEs) and terminally branched fatty acids; both groups of compounds are attributed to sulfate-reducing bacteria. Sponges revealed a greater variety of alkyl chains in MAGEs, including new, previously unknown, mid-chain monomethyl- and dimethyl-branched MAGEs, suggesting a diverse community of sulfate reducers different from the sulfate-reducers favoring microbialite formation. Aside from biomarkers specific for sulfate-reducing bacteria, lipids attributed to demosponges (i.e., demospongic acids) are also present in some of the sponges and the reefal carbonates. Fatty acids attributed to demosponges show a higher diversity and a higher proportion in microbial carbonate compared to sponge tissue. Such pattern reflects significant taphonomic bias associated with the preservation of demospongic acids, with preservation apparently favored by carbonate authigenesis.
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  • 18
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    Discrepancies between non-native and invasive species classifications (2024)
    Springer
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    Publication Date: 2024-02-01
    Description: Biological invasions pose a growing threat to ecosystems, biodiversity, and socio-economic interests. In the European Union, the introduction of non-native species through trade, tourism, and other pathways has led to unintended consequences. Among these non-native species, a subset exhibits negative impacts and is commonly referred to as ‘invasive’. However, the number of non-native species and the proportion considered invasive vary across different member states of the European Union. Classifications and definitions of invasive species also differ among countries potentially leading to an underrepresentation. Here, we use Germany as a case study to highlight gaps in invasive species classifications. The number of non-native species reported as invasive in Germany remains low (~ 14%) compared to other European Union member states (~ 22%), despite Germany’s strong economy, significant research investments, and well-established trade networks. This disparities may be attributed to complex and multifaceted factors, encompassing differences in classifications, variations in research effort and focus, and diverse national priorities. We further propose that the impacts of non-native species on resources and biodiversity may be more likely to be overlooked, principally in large economies reliant on international trade, such as Germany. This oversight could negatively affect conservation efforts and funding for research aimed at improving understanding invasive species threats. We suggest that this underreporting may stem from a focus on maintaining economic growth, which might have taken precedence over addressing the potential ecological and economic impacts of invasive species.
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  • 19
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    Differential effects of microplastic exposure on leaf shredding rates of invasive and native amphipod crustaceans (2024)
    Springer
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    Publication Date: 2024-02-01
    Description: There is growing concern surrounding the pervasive impacts of microplastic pollution, but despite increasing interest in this area there remains limited understanding of its disruption to biological communities and the ecosystem services they provide. One such service is the breakdown of leaf litter in freshwaters by invertebrate shredders, such as Gammarus spp., that directly and indirectly provides resources for many other species. This study investigates the effect of microplastic exposure on leaf consumption by two Gammarus species in Ireland, the native Gammarus duebeni celticus, and the invasive Gammarus pulex. Individuals were exposed to 40-48 mu m polyethylene particles for 24 h at a range of concentrations (20-200,000 MP/L), with the amount of leaf consumption in that time frame recorded. Microplastics did not affect the feeding rate of either species at environmentally relevant concentrations, indicating that ecosystem services currently provided by our study species are sustainable. However, at higher microplastic concentrations the feeding rate of G. d. celticus was significantly reduced, whereas G. pulex remained unaffected, drawing attention to species-specific and native-invader differences in microplastic impacts. The results of our study further contribute to the observed pattern that invasive species, including various amphipod species, often display a higher tolerance to environmental stressors compared to their native counterparts. This research highlights the need for mitigation of ongoing and increasing microplastic pollution that could differentially influence key ecosystem services and functions.
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    Warming, not acidification, favours survival of non-indigenous over native gammarid species (2024)
    Springer
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    Publication Date: 2024-02-01
    Description: Anthropogenic disturbances, including non-indigenous species (NIS) and climate change, have considerably affected ecosystems and socio-economies globally. Despite the widely acknowledged individual roles of NIS and global warming in biodiversity change, predicting the connection between the two still remains a fundamental challenge and requires urgent attention due to a timely importance for proper conservation management. To improve our understanding of the interaction between climate change and NIS on biological communities, we conducted laboratory experiments to test the temperature and pCO2 tolerance of four gammarid species: two native Baltic Sea species (Gammarus locusta and G. salinus), one Ponto‐Caspian NIS (Pontogammarus maeoticus) and one North American NIS (Gammarus tigrinus). Our results demonstrated that an increase in pCO2 level was not a significant driver of mortality, neither by itself nor in combination with increased temperature, for any of the tested species. However, temperature was significant, and differentially affected the tested species. The most sensitive was the native G. locusta which experienced 100% mortality at 24 °C. The second native species, G. salinus, performed better than G. locusta, but was still significantly more sensitive to temperature increase than either of the NIS. In contrast, NIS performed better than native species with warming, whereby particularly the Ponto-Caspian P. maeoticus did not demonstrate any difference in its performance between the temperature treatments. With the predicted environmental changes in the Baltic Sea, we may expect shifts in distributions of native taxa towards colder areas, while their niches might be filled by NIS, particularly those from the Ponto-Caspian region. Although, northern colder areas may be constrained by lower salinity. Additional studies are needed to confirm our findings across other NIS, habitats and regions to make more general inferences.
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    Long-term climate change impacts on regional sterodynamic sea level statistics analyzed from the MPI-ESM large ensemble simulation (2024)
    Springer
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    Publication Date: 2024-02-01
    Description: Statistics of regional sterodynamic sea level variability are analyzed in terms of probability density functions of a 100-member ensemble of monthly mean sea surface height (SSH) timeseries simulated with the low-resolution Max Planck Institute Grand Ensemble. To analyze the impact of climate change on sea level statistics, fields of SSH variability, skewness and excess kurtosis representing the historical period 1986-2005 are compared with similar fields from projections for the period 2081-2100 under moderate (RCP4.5) and strong (RCP8.5) climate forcing conditions. Larger deviations of the models SSH statistics from Gaussian are limited to the western and eastern tropical Pacific. Under future climate warming conditions, SSH variability of the western tropical Pacific appear more Gaussian in agreement with weaker zonal easterly wind stress pulses, suggesting a reduced El Nino Southern Oscillation activity in the western warm pool region. SSH variability changes show a complex amplitude pattern with some regions becoming less variable, e.g., off the eastern coast of the north American continent, while other regions become more variable, notably the Southern Ocean. A west (decrease)-east (increase) contrast in variability changes across the subtropical Atlantic under RCP8.5 forcing is related to changes in the gyre circulation and a declining Atlantic Meridional Overturning Circulation in response to external forcing changes. In addition to global mean sea-level rise of 16 cm for RCP4.5 and 24 cm for RCP8.5, we diagnose regional changes in the tails of the probability density functions, suggesting a potential increased in variability-related extreme sea level events under global warmer conditions.
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    Vertical distribution of epibenthic megafauna of a large seamount west of Cape Verde islands (tropical North Atlantic) (2024)
    Springer
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    Publication Date: 2024-02-05
    Description: Seamounts are thought to function as hotspots of megafauna diversity due to their topology and environmental characteristics. However, assessments of megafauna communities inhabiting seamounts, including diversity and density, are scarce. In this study, we provide megafauna diversity and density estimates for a recently discovered, not yet characterized seamount region (Boetius seamounts) west of Cape Verde (N17° 16′, W29° 26′). We investigated the distribution of epibenthic megafauna over a large depth gradient from the seamount’s summit at 1400 m down to 3200 m water depth and provided qualitative and quantitative analyses based on quantified video data. In utilizing an ocean floor observation system (OFOS), calibrated videos were taken as a horizontal transect from the north-eastern flank of the seamount, differentiating between an upper, coral-rich region (−1354/−2358 m) and a deeper, sponge-rich region (−2358/−3218 m). Taxa were morphologically distinguished, and their diversity and densities were estimated and related to substrate types. Both the upper and deeper seamount region hosted unique communities with significantly higher megafauna richness at the seamount’s summit. Megafauna densities differed significantly between the upper (0.297 ± 0.167 Ind./m 2 ) and deeper community (0.112 ± 0.114 Ind./m). The seamount showed a vertical zonation with dense aggregations of deep-sea corals dominating the seamount’s upper region and colonies of the glass sponges Poliopogon amadou dominating the deeper region. The results are discussed in light of detected substrate preferences and co-occurrence of species and are compared with findings from other Atlantic seamounts.
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    The Agulhas Current System as an important driver for oceanic and terrestrial climate (2024)
    Springer
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    Publication Date: 2024-02-06
    Type: Book chapter , PeerReviewed
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    Physical drivers of Southwest African coastal upwelling and its response to climate variability and change (2024)
    Springer
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    Publication Date: 2024-02-12
    Description: The southeastern tropical Atlantic hosts a coastal upwelling system characterized by high biological productivity. Three subregions can be distinguished based on differences in the physical climate: the tropical Angolan and the northern and southern Benguela upwelling systems (tAUS, nBUS, sBUS). The tAUS, which is remotely forced via equatorial and coastal trapped waves, can be characterized as a mixing-driven system, where the wind forcing plays only a secondary role. The nBUS and sBUS are both forced by alongshore winds and offshore cyclonic wind stress curl. While the nBUS is a permanent upwelling system, the sBUS is impacted by the seasonal cycle of alongshore winds. Interannual variability in the region is dominated by Benguela Niños and Niñas that are warm and cold events observed every few years in the tAUS and nBUS. Decadal and multidecadal variations are reported for sea surface temperature and salinity, stratification and subsurface oxygen. Future climate warming is likely associated with a southward shift of the South Atlantic wind system. While the mixing-driven tAUS will most likely be affected by warming and increasing stratification, the nBUS and sBUS will be mostly affected by wind changes with increasing winds in the sBUS and weakening winds in the northern nBUS.
    Type: Book chapter , NonPeerReviewed , info:eu-repo/semantics/bookPart
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    Predatory preferences of a non-indigenous crab do not depend on prey invasion scenarios (2024)
    Springer
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    Publication Date: 2024-02-23
    Description: Predatory non-indigenous species (NIS) have profound impacts on global ecosystems, potentially leading to native prey extinction and reshaping community dynamics. Among mechanisms potentially mediating predator impacts and prey invasion success are predator preferences between native vs. non-indigenous prey, a topic still underexplored. Using functional response and prey preference experiments, this study focused on the predation by the non-indigenous Japanese brush-clawed shore crab, Hemigrapsus takanoi, between the native gammarid Gammarus duebeni and the analogous non-indigenous Gammarus tigrinus. Although H. takanoi showed subtle differences in its functional response type between the two prey species, its preferences across their environmental frequencies were not strongly influenced by the prey invasion scenario. The findings highlight the need for a comprehensive understanding of interactions in ecosystems with multiple NIS, offering fresh insights into complex feeding interactions within marine environments.
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    Inconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics (2024)
    Springer
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    Publication Date: 2024-02-26
    Description: This study investigates extreme wet and dry conditions over the humid tropics and their connections to the variability of the tropical ocean basins using observations and a multi-model ensemble of 24 state-of-the-art coupled climate models, for the 1930–2014 period. The extreme wet (dry) conditions are consistently linked to Central Pacific La Niña (Eastern Pacific El Niño), the weakest being the Congo basin, and homogeneous patterns of sea surface temperature (SST) variability in the tropical Indian Ocean. The Atlantic exhibits markedly varying configurations of SST anomalies, including the Atlantic Niño and pan-Atlantic decadal oscillation, with non-symmetrical patterns between the wet and dry conditions. The oceanic influences are associated with anomalous convection and diabatic heating partly related to variations in the strength of the Walker Circulation. The observed connection between the Amazon basin, as well as the Maritime continent, and the Indo-Pacific variability are better simulated than that of the Congo basin. The observed signs of the Pacific and Indian SST anomalies are reversed for the modelled Congo basin extreme conditions which are, instead, tied to the Atlantic Niño/Niña variability. This Atlantic–Congo basin connection is related to a too southerly location of the simulated inter-tropical convergence zone that is associated with warm SST biases over the Atlantic cold tongue. This study highlights important teleconnections and model improvements necessary for the skillful prediction of extreme precipitation over the humid tropics.
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    Short and decadal impacts of seafloor physical perturbation on the abundances of Lebensspuren ‘traces of life’ in the Peru Basin manganese nodule province (2024)
    Springer
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    Publication Date: 2024-03-18
    Description: Interest in deep-sea mining for polymetallic nodules as an alternative source to onshore mines for various high-technology metals has risen in recent years, as demands and costs have increased. The need for studies to assess its short- and long-term consequences on polymetallic nodule ecosystems is therefore also increasingly prescient. Recent image-based expedition studies have described the temporal impacts on epi-/megafauna seafloor communities across these ecosystems at particular points in time. However, these studies have failed to capture information on large infauna within the sediments or give information on potential transient and temporally limited users of these areas, such as mobile surface deposit feeders or fauna responding to bloom events or food fall depositions. This study uses data from the Peru Basin polymetallic nodule province, where the seafloor was previously disturbed with a plough harrow in 1989 and with an epibenthic sled (EBS) in 2015, to simulate two contrasting possible impact forms of mining disturbance. To try and address the shortfall on information on transient epifauna and infauna use of these various disturbed and undisturbed areas of nodule-rich seafloor, images collected 6 months after the 2015 disturbance event were inspected and all Lebensspuren, 'traces of life', were characterized by type (epi- or infauna tracemakers, as well as forming fauna species where possible), along with whether they occurred on undisturbed seafloor or regions disturbed in 1989 or 2015. The results show that epi- and endobenthic Lebensspuren were at least 50% less abundant across both the ploughed and EBS disturbed seafloors. This indicates that even 26 years after disturbance, sediment use by fauna may remain depressed across these areas.
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    Magmatic processes within the plumbing system of the ultraslow-spreading southwest Indian ridge: constraints from olivine, plagioclase and melt inclusions (2024)
    Springer
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    Publication Date: 2024-03-15
    Description: Processes taking place within the magma plumbing system can exert an important control on the composition of mid-ocean ridge basalts (MORB). Plagioclase ultraphyric basalts (PUBs) found at magma-poor mid-ocean ridges exhibit diverse disequilibrium characteristics, which can provide vital insights for distinguishing the complex effects of melt transport from those of source heterogeneity on the compositions of MORBs. Here, we present new insights into magmatic processes using integrated petrologic and geochemical studies of the PUBs from two zones (~ 50° and ~ 64°E longitude) along the ultraslow-spreading southwest Indian ridge (SWIR). The studied PUBs have complex mineral morphologies, including skeletal and acicular crystals, glomerocrysts with open and closed structure, reverse and normally zoned crystals and external and internal resorption even in single samples. Both low- and high-Fo olivine and An plagioclase crystals are in disequilibrium with their matrix glasses. Some plagioclase phenocrysts have repeated oscillatory zoning (An77–86) going from their core to rim and an abrupt decrease in An content toward the rim. Disequilibrium Sr isotopic compositions are present at several scales: between cores and rims of plagioclase crystals, between different plagioclase crystals and between plagioclase and their host lavas. Inferred pressures of magma storage range from 0.3 to 11.3 kbar. The textural and compositional diversity of crystals together with the variability in melt compositions reflect the combined influences of source heterogeneity and magmatic processes (e.g. crystallization, assimilation and magma mixing processes) taking place within crystal mushes. Our data combined with previous studies suggest that the magmatic processes within the SWIR magma plumbing system involve formation, disaggregation and juxtaposition of crystal-rich mush zones.
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    Design, Implementation, and Evaluation of an External Pose-Tracking System for Underwater Cameras (2024)
    Springer
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    Publication Date: 2024-03-25
    Description: To advance underwater computer vision and robotics from lab environments and clear water scenarios to the deep dark ocean or murky coastal waters, representative benchmarks and realistic datasets with ground truth information are required. In particular, determining the camera pose is essential for many underwater robotic or photogrammetric applications and known ground truth is mandatory to evaluate the performance of, e.g., simultaneous localization and mapping approaches in such extreme environments. This paper presents the conception, calibration, and implementation of an external reference system for determining the underwater camera pose in real time. The approach, based on an HTC Vive tracking system in air, calculates the underwater camera pose by fusing the poses of two controllers tracked above the water surface of a tank. It is shown that the mean deviation of this approach to an optical marker-based reference in air is less than 3 mm and 0.3. Finally, the usability of the system for underwater applications is demonstrated.
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    Maribacter halichondriae sp. nov., isolated from the marine sponge Halichondria panicea, displays features of a sponge-associated life style (2024)
    Springer
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    Publication Date: 2024-04-05
    Description: A new member of the family Flavobacteriaceae (termed Hal144T) was isolated from the marine breadcrumb sponge Halichondria panicea. Sponge material was collected in 2018 at Schilksee which is located in the Kiel Fjord (Baltic Sea, Germany). Phylogenetic analysis of the full-length Hal144T 16S rRNA gene sequence revealed similarities from 94.3 to 96.6% to the nearest type strains of the genus Maribacter. The phylogenetic tree of the 16S rRNA gene sequences depicted a cluster of strain Hal144T with its closest relatives Maribacter aestuarii GY20T (96.6%) and Maribacter thermophilus HT7-2T (96.3%). Genome phylogeny showed that Maribacter halichondriae Hal144T branched from a cluster consisting of Maribacter arenosus, Maribacter luteus, and Maribacter polysiphoniae. Genome comparisons of strain Maribacter halichondriae Hal144T with Maribacter sp. type strains exhibited average nucleotide identities in the range of 75–76% and digital DNA-DNA hybridisation values in the range of 13.1–13.4%. Compared to the next related type strains, strain Hal144T revealed unique genomic features such as phosphoenolpyruvate-dependent phosphotransferase system pathway, serine-glyoxylate cycle, lipid A 3-O-deacylase, 3-hexulose-6-phosphate synthase, enrichment of pseudogenes and of genes involved in cell wall and envelope biogenesis, indicating an adaptation to the host. Strain Hal144T was determined to be Gram-negative, mesophilic, strictly aerobic, flexirubin positive, resistant to aminoglycoside antibiotics, and able to utilize N-acetyl-β-D-glucosamine. Optimal growth occurred at 25–30 °C, within a salinity range of 2–6% sea salt, and a pH range between 5 and 8. The major fatty acids identified were C17:0 3-OH, iso-C15:0, and iso-C15:1 G. The DNA G + C content of strain Hal144T was 41.4 mol%. Based on the polyphasic approach, strain Hal144T represents a novel species of the genus Maribacter, and we propose the name Maribacter halichondriae sp. nov. The type strain is Hal144T (= DSM 114563T = LMG 32744T).
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    Editorial – Ocean Dynamics in 2023: overview and thank you to reviewers (2024)
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    Publication Date: 2024-04-11
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    Future weakening of southeastern tropical Atlantic Ocean interannual sea surface temperature variability in a global climate model (2024)
    Springer
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    Publication Date: 2024-04-11
    Description: Future changes in the southeastern tropical Atlantic interannual sea surface temperature (SST) variability in response to increasing greenhouse gas concentrations are investigated utilizing the global climate model FOCI. In that model, the Coastal Angola Benguela Area (CABA) is among the regions of the tropical Atlantic that exhibits the largest surface warming. Under the worst-case scenario of the Shared Socioeconomic Pathway 5-8.5 (SSP5-8.5), the SST variability in the CABA decreases by about 19% in 2070–2099 relative to 1981–2010 during the model’s peak interannual variability season May–June–July (MJJ). The weakening of the MJJ interannual temperature variability spans the upper 40 m of the ocean along the Angolan and Namibian coasts. The reduction in variability appears to be related to a diminished surface-layer temperature response to thermocline-depth variations, i.e., a weaker thermocline feedback, which is linked to changes in the mean vertical temperature gradient. Despite improvements made by embedding a high-resolution nest in the ocean a significant SST bias remains, which might have implications for the results.
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    Underwater Multiview Stereo Using Axial Camera Models (2024)
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    Publication Date: 2024-04-15
    Description: 3D models, generated from underwater imagery, are a valuable asset for many applications. When acquiring images underwater, light is refracted as it passes the boundary layers between water, housing and the air inside the housing due to the different refractive indices of the materials. Thus the geometry of the light rays changes in this scenario and the standard pinhole camera model is not applicable. As a result, pinhole 3D reconstruction methods can not easily be applied in this environment. For the dense reconstruction of scene surfaces the added complexity is especially challenging, as these types of algorithms have to match vast amounts of image content. This work proposes the refractive adaptation of a PatchMatch Multi-View Stereo algorithm. The refraction encountered at flat port underwater housings is explicitly modeled to avoid systematic errors in the reconstruction. Concepts derived from the axial camera model are employed to handle the high demands of Multi-View Stereo regarding accuracy and computational complexity. Numerical simulations and reconstruction results on synthetically generated but realistic images with ground truth validate the effectiveness of the approach.
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    Perspektiven eines politikplanenden Biodiversitätsschutzgesetzes: Rechtsrahmen, Ausgestaltung und Forschungsbedarf (2024)
    Springer
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    Publication Date: 2024-04-29
    Description: Der Biodiversitätsverlust schreitet in bedrohlichem Ausmaß voran. Mit dem Global Biodiversity Framework und voraussichtlich dem Nature Restoration Law bestehen nun auf internationaler und europäischer Ebene vielversprechende Ansätze, ihm Herr zu werden. Jetzt ist der Bundesgesetzgeber – nicht zuletzt aus verfassungsrechtlichen Erwägungen – aufgerufen, daran anzuknüpfen. Dazu bietet sich die Regelungsform eines Rahmen- und Politikplanungsgesetzes an, wie sie schon aus dem Klimaschutzgesetz und dem Klimaanpassungsgesetz bekannt ist. Der Aufsatz beleuchtet den internationalen, europa- und verfassungsrechtlichen Hintergrund eines solchen ‘Biodiversitätsschutzgesetzes’ und diskutiert – unter Zusammenarbeit sowohl rechts- als auch naturwissenschaftlicher Autor:innen – formale und materielle Ausgestaltungsmöglichkeiten.
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    Effects of environmental and climatic drivers on abyssal macrobenthic infaunal communities from the NE Pacific nodule province (2024)
    Springer
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    Publication Date: 2024-05-15
    Description: The macrofauna in soft sediments of the deep seafloor is generally diverse and represents a comparatively well-studied faunal group of deep-sea ecosystems. In the abyss of the Clarion Clipperton Fracture Zone (CCFZ) in the NE Pacific, macrofauna are major contributors to benthic biodiversity. Their distribution, composition, and diversity have been frequently investigated to assess the potential impacts of future mining activities on the resident fauna. In this study, patterns of densities and community structure of CCFZ macrobenthic infauna and their relationships with a range of environmental and climatic variables were examined, with a special focus on communities from the eastern German contract area (referred to as BGR CA). However, comparisons were also made with other contractor areas (e.g., IFREMER, IOM, GSR) and one Area of Particular Environmental Interest (APEI3). Material for this study was obtained by means of a box corer during six expeditions to the CCFZ between 2013 and 2018 resulting in 148 samples. Our study uncovered notable spatial and temporal variations in both faunal densities and community composition. While areas within the BGR CA exhibited a similar community composition, slight differences were observed between the various CAs and APEI3. Surprisingly, we found an unexpected negative correlation between food availability and both macrofaunal density and community structure that may be attributed to differences in sampling methodologies and pronounced temporal variation. Furthermore, we explored the impact of climatic fluctuations associated with the El Niño/Southern Oscillation (ENSO) on macrofaunal densities, observing an increase during warm (El Niño) events. Our findings underscore the challenges of accurately assessing spatial and temporal variations in the absence of standardised sampling protocols. Hence, we emphasize the importance of adopting standardised protocols to enhance data comparability, thereby fostering a deeper understanding of the underlying factors influencing spatial and temporal changes in macrofauna community structure within the CCFZ.
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    Biodiversity of the Clarion-Clipperton Fracture Zone: a worm perspective (2024)
    Springer
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    Publication Date: 2024-05-14
    Description: The deep seafloor of the Northeastern Pacific Ocean between the Clarion and Clipperton Fracture Zones (CCZ) hosts large deposits of polymetallic nodules that are of great commercial interest as they are rich in valuable metals such as manganese, nickel, copper and cobalt. However, mining of these nodules has the potential to severely affect the benthic fauna, whose distribution and diversity are still poorly understood. The CCZ is characterized by strong gradients in sea surface productivity and hence changes in the amount of organic carbon reaching the seafloor, decreasing from mesotrophic conditions in the southeast to oligotrophic conditions in the northwest. Uncovering and understanding changes in community composition and structure along this productivity gradient are challenging but important, especially in the context of future mining impacts. Here, we summarize published data on benthic annelids (polychaetes), a major component of macrobenthic communities in the CCZ. Unlike previous studies, we attempt to explore all available data based on both morphology and genetics collected by box corer and epibenthic sledge. In this regard, we specifically aimed to (a) summarize and compare morphological and molecular data in relation to surface water nutrient conditions and (b) provide recommendations to advance the studies of polychaete biodiversity. Although initial studies on polychaetes in the CCZ were performed as far back as the 1970s, there are still large data gaps further explored in our review. For example, most of the current data are from the eastern CCZ, limiting understanding of species ranges across the region. An association between polychaete communities and the available food supply was generally observed in this study. Indeed, mesotrophic conditions supported higher abundance and species richness in polychaetes as a whole, but for certain groups of species, the patterns appear to be opposite — illustrating that relationships are likely more complex at lower taxonomic levels. A better understanding of biogeographical, ecological and evolutionary processes requires a concerted effort involving increased sampling and sharing of data and material to close existing knowledge gaps.
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    Mögliche Beiträge geologischer und mariner Kohlenstoffspeicher zur Dekarbonisierung (2024)
    Springer
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    Publication Date: 2024-05-23
    Description: Es werden mögliche Beiträge geologischer und mariner Kohlenstoffspeicher für die Vermeidung von CO2-Emissionen in die Atmosphäre oder für die Entnahme von bereits emittiertem CO2 aus der Atmosphäre vorgestellt. Neben der Einlagerung von CO2 in geologischen Speichern unter Land und unter dem Meeresboden werden eine forcierte CO2-Entnahme aus der Atmosphäre und Abgabe in den Ozean durch Erhöhung der Alkalinität, durch Ozeandüngung und durch das Management vegetationsreicher Küstenökosysteme untersucht. Alle Optionen können sowohl global als auch aus deutscher Perspektive eine Rolle für das Erreichen der Klimaziele spielen. Umweltverträglichkeit, Permanenz der Speicherung sowie infrastrukturelle und rechtliche Voraussetzungen, gesellschaftliche Akzeptanz und wirtschaftliche Realisierbarkeit bedürfen für alle Ansätze weiterer Klärung, bevor hieraus realisierbare Optionen werden können.
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    Divergence between sea urchins and their microbiota following speciation (2024)
    Springer
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    Publication Date: 2024-06-05
    Description: Animals have a deep evolutionary relationship with microbial symbionts, such that individual microbes or an entire microbial community can diverge alongside the host. Here, we explore these host-microbe relationships in Echinometra, a sea urchin genus that speciated with the Isthmus of Panama and throughout the Indo-West Pacific. We find that the eggs from five Echinometra species generally associate with a species-specific bacterial community and that the relatedness of these communities is largely congruent with host phylogeny. Microbiome divergence per million years was higher in more recent speciation events than in older ones. We, however, did not find any bacterial groups that displayed co-phylogeny with Echinometra. Together, these findings suggest that the evolutionary relationship between Echinometra and their microbiota operates at the community level. We find no evidence suggesting that the associated microbiota is the evolutionary driver of Echinometra speciation. Instead, divergence between Echinometra and their microbiota is likely the byproduct of ecological, geographic, and reproductive isolations.
    Type: Article , PeerReviewed
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  • 39
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    A climatology of weather-driven anomalies in European photovoltaic and wind power production (2024)
    Nature Research | Springer
    Details
    Publication Date: 2024-06-10
    Description: Weather causes extremes in photovoltaic and wind power production. Here we present a comprehensive climatology of anomalies in photovoltaic and wind power production associated with weather patterns in Europe considering the 2019 and potential 2050 installations, and hourly to ten-day events. To that end, we performed kilometer-scale numerical simulations of hourly power production for 23 years and paired the output with a weather classification which allows a detailed assessment of weather-driven spatio-temporal production anomalies. Our results highlight the dependency of low-power production events on the installed capacities and the event duration. South-shifted Westerlies (Anticyclonic South-Easterlies) are associated with the lowest hourly (ten-day) extremes for the 2050 (both) installations. Regional power production anomalies can differ from the ones in the European mean. Our findings suggest that weather patterns can serve as indicators for expected photovoltaic and wind power production anomalies and may be useful for early warnings in the energy sector.
    Type: Article , PeerReviewed
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  • 40
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    Cultural Change in Post-Migrant Societies (2024)
    Springer
    Details
    Publication Date: 2024-01-10
    Description: The volume offers insights into new theoretical approaches that should make it possible to analyse cultural change through migration. It focuses on concrete activities in local contexts and their significance for national narratives. Finally, it presents newer approaches in migration studies that use artistic methods and work with cultural institutions to drive cultural change.
    Description: Der Band bietet Einblick in neue theoretische Ansätze, die ermöglichen sollen, kulturellen Wandel durch Migration zu analysieren. Er richtet den Blick auf konkrete Aktivitäten in lokalen Kontexten und deren Bedeutung für nationale Narrative. Abschließend präsentiert er neuere Ansätze in der Migrationsforschung, die sich künstlerischer Methoden bedienen und mit kulturellen Institutionen zusammenarbeiten, um kulturelle Veränderung voranzutreiben.
    Keywords: Migration; Postmigration; kultureller Wandel; Kunst; Kultur ; ÖFOS 2012 -- SOZIALWISSENSCHAFTEN (5) -- Soziologie (504) -- Soziologie (5040) -- Migrationsforschung (504021) ; ÖFOS 2012 -- GEISTESWISSENSCHAFTEN (6) -- Andere Geisteswissenschaften (605) -- Andere Geisteswissenschaften (6050) -- Kulturwissenschaft (605004) ; Migration; postmigration; cultural change; art; culture ; ÖFOS 2012 -- SOCIAL SCIENCES (5) -- Sociology (504) -- Sociology (5040) -- Migration research (504021) ; ÖFOS 2012 -- HUMANITIES (6) -- Other Humanities (605) -- Other Humanities (6050) -- Cultural studies (605004)
    Language: English
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    E-BOOK
  • 41
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    Anaerobic respiration in a boreal wetland and surrounding habitats, across a hydrological transect. (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-11
    Description: This dataset reports measurements from a laboratory incubation of soils sourced from a boreal peatland and surrounding habitats (Siikaneva Bog, Finland). In August 2021, soil cores were collected from three habitat zones: a well-drained upland forest, an intermediate margin ecotone, and a Sphagnum moss bog. The cores from each habitat were taken from surface to approximately 50cm below surface using an Eijelkamp peat corer and subdivided by soil horizon. The samples were then incubated anaerobically for 140 days in three temperature treatment groups (0, 4, 20°C). Subsamples of the incubations headspace (250 µL) were measured on a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID) for CO2 and CH4 concentrations. The rate of respiration from the samples were calculated per gram carbon and per gram soil as described in the method of Robertson., et al. (1999) and reported here, along with other relevant parameters.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 42
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    Data collection of the sediment core MR16-09_PC03 in the Southeast Pacific (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-08
    Type: info:eu-repo/semantics/workingPaper
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  • 43
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    Mineralogic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; Clay; DEPTH, sediment/rock; Diatoms; Giant piston corer (Calypso); GPC-C; Grain size, Mastersizer S, Malvern Instrument Inc.; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Silt; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 498 data points
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    DATA PANGAEA
  • 44
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    Magnetic properties for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Anhysteretic susceptibility/magnetic susceptibility; Antarctic Circumpolar Current; Cryogenic magnetometer, 2G Enterprises; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Magnetic susceptibility; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
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    DATA PANGAEA
  • 45
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    Summer sea surface temperature for sediment core MD12-3401Cq for the last deglaciation (2024)
    PANGAEA
    Details
    Publication Date: 2024-01-03
    Keywords: AGE; Antarctic Circumpolar Current; calculated, 1 sigma; DEPTH, sediment/rock; Giant piston corer (Calypso); GPC-C; magnetic parameters; Marion Dufresne (1995); MD12-3401; MD128; mineralogic parameters; Reconstructed from the percentage of Neogloboquadrina pachyderma sinistral; Reconstructed from the percentage of planktic foraminifera; Sea surface temperature, summer; Sea surface temperature, summer, standard deviation; Summer sea surface temperature; SWAF
    Type: Dataset
    Format: text/tab-separated-values, 186 data points
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    DATA PANGAEA
  • 46
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    Summarized list of all heat flow determinations on RV METEOR cruise M186 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Event label; heatflow; Heat flow; Heat-Flow probe; HF; Latitude of event; Longitude of event; M186; M186_12-1; M186_20-1; M186_26-1; M186_44-1; M186_47-1; M186_53-1; M186_66-1; M186_83-1; M186_85-1; MARUM; Meteor (1986); Sample code/label; Temperature gradient
    Type: Dataset
    Format: text/tab-separated-values, 280 data points
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    DATA PANGAEA
  • 47
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    Marine heat flow data at station HF2241 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_20-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1134 data points
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    DATA PANGAEA
  • 48
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    Marine heat flow data at station HF2240 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_12-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1512 data points
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    DATA PANGAEA
  • 49
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    Marine heat flow data at station HF2242 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_26-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 891 data points
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    DATA PANGAEA
  • 50
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    Marine heat flow data at station HF2244 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_47-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 946 data points
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  • 51
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    Marine heat flow data at station HF2249 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_85-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 1029 data points
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    DATA PANGAEA
  • 52
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    Marine heat flow data at station HF2248 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_83-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 526 data points
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    DATA PANGAEA
  • 53
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    Marine heat flow data at station HF2247 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_66-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 389 data points
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    DATA PANGAEA
  • 54
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    Marine heat flow data at station HF2245 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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    DATA PANGAEA
  • 55
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    Marine heat flow data at station HF2246 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Keywords: Azores; Azores Hot Vents; Center for Marine Environmental Sciences; Conductivity, thermal; Depth, relative; DEPTH, sediment/rock; Event label; heatflow; Heat flow probe; Heat-Flow probe; HF; Integrated thermal resistance; M186; M186_53-1; MARUM; Meteor (1986); Sample code/label; Station label; Temperature, in rock/sediment
    Type: Dataset
    Format: text/tab-separated-values, 654 data points
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  • 56
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    Nitrogen isotope record and TOC accumulation rates of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The data sets contains bulk organic data of sediment core GeoTü SL167. Total organic carbon and nitrogen measurements were carried out with an Euro EA3000 elemental analyser and δ15N measurements with a Thermo Scientific Flash EA1112 coupled to a Finnigan MAT 252 IRMS. Total organic carbon mass accumulation rates (TOC MAR) based on calculation using the organic carbon content and total mass accumulation rates. A description of the calculation of the total mass accumulations rates is given in Burdanowitz et al 2021. Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Accumulation rate, total organic carbon per year; AGE; Age model; Arabian Sea; Calculated; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyzer, Thermo Scientific, Flash EA1112; coupled with a Finnigan MAT 252 IRMS; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1846 data points
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    DATA PANGAEA
  • 57
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    Age model of sediment core GeoTü SL167 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The age model of sediment core GeoTü SL167 is based on 14C AMS measurements of planktonic foraminifera and is calibrated with the BACON v. 2.5.6 software for R (Blaauw & Christen, 2011) and a marine reservoir age of ΔR = 93 ± 61 years. The ΔR is based on the weighted mean of two regional marine reservoir corrections (Muscat) by Southon et al. (2002) using the marine calibration database (Reimer and Reimer, 2001, http://calib.org/marine/). Gravity core GeoTü SL167, was retrieved at station no. 960 during R.V. METEOR cruise M74/1b in 2007 (Bohrmann et al., 2010) from the northwestern Arabian Sea off Oman, at 22°37.2'N, 59°41.5'E, 774 m water depth, core recovery 7.39 m. The sediment core was retrieved for the reconstruction of circulation and productivity changes in the eastern Mediterranean Sea during the late Quaternary with particular focus on changes in the Indian monsoon system.
    Keywords: Age, 14C AMS; Age, 14C calibrated, BACON v. 2.5.6 (Blaauw and Christen, 2011); Age, dated; Age, dated standard deviation; Age model; Arabian Sea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Denitrification; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Gravity corer (Kiel type); M74/1b; M74/1b_960-1; Meteor (1986); n-alkanes; Oman Margin; OMZ; Quaternary; SL; SL 167
    Type: Dataset
    Format: text/tab-separated-values, 147 data points
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    DATA PANGAEA
  • 58
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    Stable isotope data from IODP Site 371-U1509 (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The onset of the first sustained Antarctic glaciation at the Eocene-Oligocene Transition (~34 Ma; EOT) was marked by several changes in calcareous nannofossils coinciding with long-term cooling and modifications in the sea-surface water structure. Here, we combined a high-resolution calcareous nannofossil assemblage data (%) with bulk geochemical data from IODP Site U1509 (New Caledonia Trough, Tasman Sea) in order to give an overview of the paleoclimatic and palaeoceanographic evolution of the study area.
    Keywords: 371-U1509A; Calcareous nannofossils; Calcium carbonate; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Eocene-Oligocene Transition.; Exp371; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Isotope ratio mass spectrometry; Joides Resolution; Sample code/label; Tasman Frontier Subduction Initiation and Paleogene Climate; Tasman Sea; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 732 data points
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  • 59
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    Heat flow data of METEOR cruise M186, Azores hot vents (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-01
    Description: Marine heat flow data from RV Meteor cruise M186. The GEOMAR project name is Azores Hot Vents. We used the 6 m Bremen heat probe with 21 channels @ 0.26 m spacing.
    Keywords: Azores; Center for Marine Environmental Sciences; heatflow; MARUM
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 60
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    Airborne gravity data across Astrid Ridge, East Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: This data set contains airborne gravity data across central Dronning Maud Land, East Antarctica, acquired during the austral summer of 2009/2010 and within the project 'West-East Gondwana Amalgamation and its Separation' (WEGAS). The data span the offshore Astrid Ridge, and parts of the Nivl and Lazarev ice shelves. The survey was conducted using a ZLS Ultrasys Lacoste & Romberg Air/Sea gravimeter S56 installed into - and operated with - the research aircraft Polar 5. Base readings were performed with a handheld gravity meter at the base station Novolazarevskaja and in Cape Town. A ground speed of 130 knots and a time-domain filter of 220 s leads to a spatial resolution of around 7 km. The average crossover error after bias adjustment is 4.2 mGal. When citing this data set, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: AC; airborne gravity; Aircraft; Antarctica; Antarctica, East; Astrid Ridge; DATE/TIME; Event label; Free-air gravity anomaly; Gravity; Height; LATITUDE; Lazarev Ice Shelf; Line; LONGITUDE; Nivl Ice Shelf; PGM17 (NGA's Preliminary Geopotential Model 2017); POLAR 5; WEGAS_2009/10; WEGAS_2009/10_02; WEGAS_2009/10_03; WEGAS_2009/10_04; WEGAS_2009/10_05; WEGAS_2009/10_06; WEGAS_2009/10_07; WEGAS_2009/10_08; WEGAS_2009/10_09; WEGAS_2009/10_10; WEGAS_2009/10_11; WEGAS_2009/10_12; WEGAS_2009/10_13; WEGAS_2009/10_14; WEGAS_2009/10_16; WEGAS_2009/10_17; WEGAS_2009/10_18; WEGAS_2009/10_19; WEGAS_2009/10_20; WEGAS_2009/10_21; WEGAS offshore
    Type: Dataset
    Format: text/tab-separated-values, 128088 data points
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    DATA PANGAEA
  • 61
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    Bathymetric model beneath Nivl and Lazarev ice shelves, and across Astrid Ridge embedded within IBCSOV2 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: Attached data comprise a bathymetric model of central Dronning Maud Land, including the seabed beneath the Nivl Ice Shelf and the Lazarev Ice Shelf, as well as the offshore Astrid Ridge and adjacent parts of the Riiser-Larsen Sea. Here, this model is embedded within the larger Antarctic-wide bathymetric compilation IBCSOV2 (Dorschel et al., 2022). This is an addition to the stand-alone bathymetric model here: https://doi.org/10.1594/PANGAEA.961492. The embedded model gives seabed depths relative to WGS84 at a resolution of 2.5 km. It is generated by complementing existing topographic data sets - such as seismic data, ice penetrating radar data, and shipborne hydroacoustic data - with the inversion of airborne gravity data towards bathymetry. The airborne gravity data used for the inversion consist of data acquired during aerogeophysical campaigns VISA from the early 2000s and WEGAS from the austral summer of 2009/2010. When citing this model, please also cite the associated manuscript: Eisermann, H., Eagles, G. & Jokat, W. Coastal bathymetry in central Dronning Maud Land controls ice shelf stability. Sci Rep 14, 1367 (2024). https://doi.org/10.1038/s41598-024-51882-2.
    Keywords: Antarctica; Bathymetry; BathymetryModel_cDronningMaudLan; Bed elevation; Coordinate, x, relative; Coordinate, y, relative; Dronning Maud Land; Dronning Maud Land, Antarctica; gravity inversion; LATITUDE; Lazarev Ice Shelf; LONGITUDE; Model; Nivl Ice Shelf; water column
    Type: Dataset
    Format: text/tab-separated-values, 206742 data points
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    DATA PANGAEA
  • 62
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    Snow height from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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
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  • 63
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    Heating induced temperature difference measurements from radiation station 2019R8: 4 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 64
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    Heating induced temperature difference measurements from radiation station 2019R8: 0 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 65
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    Unknown
    Heating induced temperature difference measurements from radiation station 2019R8: 20 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 66
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    Heating induced temperature difference measurements from radiation station 2019R8: 40 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 67
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    Heating induced temperature difference measurements from radiation station 2019R8: 52 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 68
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    Temperature measurements from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 69
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    Transmittance through sea ice from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 70
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    X-ray fluorescence (XRF) from ODP Site 138-846 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846B; 138-846C; AGE; Alkenone; Aluminium oxide; Barium sulfate; Calcium carbonate; Calibrated after Weltje & Tjallingi (2008); Date/Time of event; Depth, composite; DRILL; Drilling/drill rig; Eastern Equatorial Pacific; Event label; Iron oxide, Fe2O3; Joides Resolution; Latitude of event; Leg138; Longitude of event; Manganese oxide; ODP Site 846; Sample code/label; Sea surface temperature; Silicon dioxide; South Pacific Ocean; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 75384 data points
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  • 71
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    Core top sea surface temperature data compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    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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  • 72
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    Core top chlorophyll concentration compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    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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  • 73
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    Core top alkenone (C37) data compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    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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  • 74
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    Core top coccolithophore productivity compared to modern observations in the eastern equatorial Pacific (2024)
    PANGAEA
    Details
    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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  • 75
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    Physical oceanography from radiation station 2019R8 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 76
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    Heating induced temperature difference measurements from radiation station 2019R8: 24 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 77
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    Heating induced temperature difference measurements from radiation station 2019R8: 48 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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    DATA PANGAEA
  • 78
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    Heating induced temperature difference measurements from radiation station 2019R8: 56 s after the heating cycle (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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  • 79
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    Mass accumulation rate of alkenone (C37) from ODP Site 138-846 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-846; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; ODP Site 846; Sea surface temperature; South Pacific Ocean
    Type: Dataset
    Format: text/tab-separated-values, 1056 data points
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  • 80
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    Mass accumulation rate of alkenone (C37) from ODP Site 138-849 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 138-849; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Joides Resolution; Leg138; North Pacific Ocean; ODP Site 846; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 388 data points
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  • 81
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    Mass accumulation rate of alkenone (C37) from IODP Site 321-U1338 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-05
    Keywords: 321-U1338; According to Herbert et al. (2021); Accumulation rate, alkenone C37; AGE; Alkenone; Alkenone, C37, logarithm; Calculated; COMPCORE; Composite Core; Eastern Equatorial Pacific; Exp321; Joides Resolution; ODP Site 846; Pacific Equatorial Age Transect II / Juan de Fuca; Sea surface temperature
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 82
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    Radiosonde measurements from station Syowa (2023-05) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 22236 data points
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  • 83
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    Meteorological synoptical observations from station Syowa (2023-11) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 257782 data points
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  • 84
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    Radiosonde measurements from station Syowa (2023-02) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 25033 data points
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  • 85
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    Radiosonde measurements from station Syowa (2023-04) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 23254 data points
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  • 86
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    Dinoflagellate cysts counts of sediment core DP30PC section 8, Gulf of Taranto (2024)
    PANGAEA
    Details
    Publication Date: 2024-02-29
    Description: Dinoflagellate cysts have been determined in sediments of core DP30PC on a resolution of 1 sample per 2.5 mm core depth (representing approximately 3 year) and 119.65 - 180.4 cm core depth. These data form the basis of high temporal resolution temperature and precipitation reconstructions for Roman times between about 200 BCE and 600 CE (ca. 205 BCE - 605 CE).
    Keywords: 64PE297; Age; Ataxiodinium choane; Bitectatodinium tepikiense; Center for Marine Environmental Sciences; Counting, dinoflagellate cysts; DEPTH, sediment/rock; Dinoflagellate cyst, other; Dinoflagellate cyst, warm water/cold water, ratio; Dinoflagellate cyst reworked; Discharge index; DP30PC; elements; Impagidinium aculeatum; Impagidinium paradoxum; Impagidinium patulum; Impagidinium plicatum; Impagidinium sphaericum; Impagidinium strialatum; Lingulodinium polyedrum; MARUM; Mediterranean; Nematosphaeropsis labyrinthus; Operculodinium israelianum; PC; Pelagia; Piston corer; Polysphaeridium zoharyi; Pseudoschizea spp.; Pyxidinopsis reticulata; Roman Climate Optimum; Spiniferites elongatus; Spiniferites mirabilis; Spiniferites ramosus; Tectatodinium pellitum; Temperature, water; Tuberculodinium vancampoae; volcanic glass shards
    Type: Dataset
    Format: text/tab-separated-values, 6092 data points
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  • 87
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    Radiosonde measurements from station Syowa (2021-12) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 27270 data points
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  • 88
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    Radiosonde measurements from station Syowa (2022-01) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 29012 data points
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  • 89
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    Meteorological synoptical observations from station Syowa (2022-03) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: Anemometer; BARO; Barometer; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Horizontal visibility; HYGRO; Hygrometer; Monitoring station; MONS; Pressure, atmospheric; SYO; Syowa; Temperature, air; Thermometer; Visibility sensor; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 267840 data points
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  • 90
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    Radiosonde measurements from station Syowa (2022-08) (2024)
    PANGAEA
    In:  Japan Meteorological Agency, Tokyo
    Details
    Publication Date: 2024-02-29
    Keywords: ALTITUDE; Baseline Surface Radiation Network; BSRN; Cosmonauts Sea; DATE/TIME; Dew/frost point; Monitoring station; MONS; Pressure, at given altitude; Radiosonde, MEISEI, RS11G; SYO; Syowa; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 24245 data points
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  • 91
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    Age-depth model, magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment core COR1404-003PC (2024)
    PANGAEA
    Details
    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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  • 92
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    Magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment coreCOR1404-001PC (2024)
    PANGAEA
    Details
    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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  • 93
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    Age-depth model, magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment core COR1404-006PC (2024)
    PANGAEA
    Details
    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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  • 94
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    Age-depth model, magnetic susceptibility, diffuse spectral reflectance, grain size and elemental geochemistry of sediment core COR1404-008PC (2024)
    PANGAEA
    Details
    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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  • 95
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    Sample locations and whole rock geochemistry for phosphorite samples from the Cambrian Georgina Basin (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium oxide; Ardmore; Area/locality; Barium oxide; Barr_Creek; Calcium oxide; Cerium; Chromium(III) oxide; Depth, description; DEPTH, sediment/rock; DTREE; Duchess; Dysprosium; Erbium; Europium; Event label; Gadolinium; Georgina Basin; Hole; Holmium; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lily_Creek; LONGITUDE; Loss on ignition; Lutetium; Magnesium oxide; Manganese oxide; Neodymium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus pentoxide; Potassium oxide; Praseodymium; Rare-earth elements; ROCK; Rock sample; Samarium; Sample code/label; Sherrin_Creek; Silicon dioxide; Sodium oxide; Strontium oxide; Terbium; Thorium; Thulium; Titanium dioxide; Total; Uranium; Whole rock geochemistry; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1327 data points
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  • 96
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    Unknown
    Electron microprobe data of carbonate fluorapatite pellets from the Phosphate Hill phosphorite prospect in the Georgina Basin (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Barium; Barium oxide; Calcium; Calcium oxide; Cerium; Cerium oxid; Chlorine; Date of determination; Electron micro probe analyser (EMPA); Fluorine; Gadolinium; Gadolinium oxide; Georgina Basin; Iron; Iron oxide, Fe2O3; Lanthanum; Lanthanum oxide; Laser Ablation; LATITUDE; LONGITUDE; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Mineral name; Neodymium; Neodymium oxid; Oxygen; Phosphorite; Phosphorus; Phosphorus pentoxide; Sample ID; Silicon; Silicon dioxide; Site; Sodium; Sodium oxide; Strontium; Strontium oxide; Sulfur; Sulfur trioxide; Total; Whole rock geochemistry; Yttrium; Yttrium oxide
    Type: Dataset
    Format: text/tab-separated-values, 1764 data points
    Location Call Number Expected Availability
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  • 97
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    Unknown
    Aerosol size distribution between 18 and 820 nm at Neumayer III station during the year 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-12
    Description: We continuously measured aerosol size distributions in the range between 18 nm and 820 nm in 64 bit per decade resolution by means of a Scanning Mobility Particle Sizer (SMPS, TSI, i.e. a Series 3080 Electrostatic Classifier equipped with a Differential Mobility Analyzer DMA 3081). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 4 August 2023 and 31 December 2023. The data are based on an original 10-minute temporal resolution, submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.81ece554-068a-4c6e-8de5-1ef1944c0156
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; Log-normal particle size distribution, normalized concentration at particle diameter 101.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 109.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 113.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 117.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 121.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 126.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 131 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 140.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 145.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 151.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 156.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 162.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 168.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 174.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 18.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 181.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 187.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 19.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 194.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 20.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 201.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 209.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 21.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 216.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 22.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 224.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 23.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 232.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 24.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 241.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 250.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 259.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 26.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269 nm; Log-normal particle size distribution, normalized concentration at particle diameter 27.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 278.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 28.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 289 nm; Log-normal particle size distribution, normalized concentration at particle diameter 299.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 30 nm; Log-normal particle size distribution, normalized concentration at particle diameter 31.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 310.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 32.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 322 nm; Log-normal particle size distribution, normalized concentration at particle diameter 33.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 333.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 34.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 346 nm; Log-normal particle size distribution, normalized concentration at particle diameter 35.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 358.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 37.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 371.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 38.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 385.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 399.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 40 nm; Log-normal particle size distribution, normalized concentration at particle diameter 41.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 414.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 42.9 nm; Log-normal particle size distribution, normalized concentration at particle diameter 429.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 44.5 nm; Log-normal particle size distribution, normalized concentration at particle diameter 445.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 46.1 nm; Log-normal particle size distribution, normalized concentration at particle diameter 461.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 47.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 478.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 49.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 495.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 51.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 514 nm; Log-normal particle size distribution, normalized concentration at particle diameter 53.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 532.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 55.2 nm; Log-normal particle size distribution, normalized concentration at particle diameter 552.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 57.3 nm; Log-normal particle size distribution, normalized concentration at particle diameter 572.5 nm; Log-normal particle size distribution, normalized
    Type: Dataset
    Format: text/tab-separated-values, 385097 data points
    Location Call Number Expected Availability
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  • 98
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    Unknown
    Whole rock geochemistry of the basement rocks that underlie the Georgina Basin (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-12
    Keywords: Aluminium; Aluminium oxide; Antimony; Ardmore; Area/locality; Arsenic; Barium; Barr_Creek; Beryllium; Bismuth; Boron; Cadmium; Caesium; Calcium; Calcium oxide; Cerium; Chromium; Cobalt; Copper; DTREE; Duchess; Dysprosium; Erbium; Europium; Gadolinium; Georgina Basin; Hafnium; Holmium; Inductively coupled plasma - mass spectrometry (ICP-MS); Iron; Iron oxide, Fe2O3; Lanthanum; Laser Ablation; LATITUDE; Lead-208; Lily_Creek; Lithium; Lithium borate fusion; acid digestion; LONGITUDE; Lutetium; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Molybdenum; Neodymium; Nickel; Niobium; Paradise_North; Paradise_South; Phosphate_Hill; Phosphorite; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; Praseodymium; Rhenium; ROCK; Rock sample; Rock type; Rubidium; Samarium; Sample ID; Scandium; Sherrin_Creek; Silicon; Silicon dioxide; Sodium; Sodium oxide; Strontium; Tantalum; Tellurium; Terbium; Thallium; Thorium; Thulium; Tin; Titanium; Titanium dioxide; Total; Uranium; Vanadium; Whole rock geochemistry; Ytterbium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 837 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
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    Unknown
    Aerosol light absorption coefficients and black carbon concentrations at Neumayer for the year 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-09
    Description: We operate a multi angle absorption photometer MAAP (Model 5012, Thermo Electron Corp.). which is in operation since March 2006 ongoing. This instrument measures atmospheric light absorption by aerosol (mainly caused by black carbon, BC). To this end, ambient aerosol was sampled on a glass filter tape. The measured absorption coefficients abs(637) refer to a wavelength of 637 nm. Raw data were originally sampled in one-minute resolution. Finally, hourly averaged MAAP data are presented here. We also provide BC concentrations (ng/m³) derived from the absorption coefficients using the specific BC attenuation cross section (QBC) of 6.6 m²/g.
    Keywords: aerosol; Aerosol absorption at 637 nm; AIRCHEM; Air chemistry observatory; Atmospheric chemistry; Atmospheric Chemistry @ AWI; AWI_AC; Black carbon, aerosol; DATE/TIME; Dronning Maud Land, Antarctica; Duration; HEIGHT above ground; Multi angle absorption spectrometer MAAP5012; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; Spuso; SPUSO
    Type: Dataset
    Format: text/tab-separated-values, 26274 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 100
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    Unknown
    Aerosol size distribution between 90 and 5000 nm at Neumayer III station during the year 2023 (2024)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-03-09
    Description: We continuously measured aerosol size distributions in the range between 90 nm and 5000 nm in 64 bit resolution with an optical particle sizer (TSI LAS3340). The measurements were conducted at the Air Chemistry Observatory (SPUSO) at Neumayer III Station (Antarctica) between 1 January 2023 and 10 July 2023. The data rely on an original 10-minute temporal resolution and are finally submitted as 60-minute averages. Aerosol size distribution measurements are part of the air chemistry long-term observations at Neumayer III. Details about the instrument can be found under "resources" of the corresponding metadata link: https://hdl.handle.net/10013/sensor.5d9a9253-e118-4744-be3a-05f31551314a.
    Keywords: aerosol; Air chemistry observatory; Air Chemistry Observatory; Atmospheric Chemistry @ AWI; AWI_AC; AWI_Glac; DATE/TIME; Date/time end; Dronning Maud Land, Antarctica; Glaciology @ AWI; HEIGHT above ground; las3340; Laser Aerosol Spectrometer TSI LAS3340; Log-normal particle size distribution, normalized concentration at particle diameter 1008.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 105.29 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1074.15 nm; Log-normal particle size distribution, normalized concentration at particle diameter 112.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1143.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 119.38 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1217.84 nm; Log-normal particle size distribution, normalized concentration at particle diameter 127.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1296.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 135.34 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1380.74 nm; Log-normal particle size distribution, normalized concentration at particle diameter 144.11 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1470.19 nm; Log-normal particle size distribution, normalized concentration at particle diameter 153.45 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1565.43 nm; Log-normal particle size distribution, normalized concentration at particle diameter 163.39 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1666.85 nm; Log-normal particle size distribution, normalized concentration at particle diameter 173.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1774.83 nm; Log-normal particle size distribution, normalized concentration at particle diameter 185.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 1889.81 nm; Log-normal particle size distribution, normalized concentration at particle diameter 197.25 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2012.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 210.03 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2142.6 nm; Log-normal particle size distribution, normalized concentration at particle diameter 223.63 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2281.41 nm; Log-normal particle size distribution, normalized concentration at particle diameter 238.12 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2429.21 nm; Log-normal particle size distribution, normalized concentration at particle diameter 253.55 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2586.58 nm; Log-normal particle size distribution, normalized concentration at particle diameter 269.97 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2754.15 nm; Log-normal particle size distribution, normalized concentration at particle diameter 287.46 nm; Log-normal particle size distribution, normalized concentration at particle diameter 2932.57 nm; Log-normal particle size distribution, normalized concentration at particle diameter 306.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3122.55 nm; Log-normal particle size distribution, normalized concentration at particle diameter 325.91 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3324.84 nm; Log-normal particle size distribution, normalized concentration at particle diameter 347.02 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3540.24 nm; Log-normal particle size distribution, normalized concentration at particle diameter 369.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 3769.59 nm; Log-normal particle size distribution, normalized concentration at particle diameter 393.45 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4013.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 418.93 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4273.82 nm; Log-normal particle size distribution, normalized concentration at particle diameter 446.08 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4550.7 nm; Log-normal particle size distribution, normalized concentration at particle diameter 474.98 nm; Log-normal particle size distribution, normalized concentration at particle diameter 4845.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 505.75 nm; Log-normal particle size distribution, normalized concentration at particle diameter 538.51 nm; Log-normal particle size distribution, normalized concentration at particle diameter 573.4 nm; Log-normal particle size distribution, normalized concentration at particle diameter 610.54 nm; Log-normal particle size distribution, normalized concentration at particle diameter 650.09 nm; Log-normal particle size distribution, normalized concentration at particle diameter 692.21 nm; Log-normal particle size distribution, normalized concentration at particle diameter 737.05 nm; Log-normal particle size distribution, normalized concentration at particle diameter 784.8 nm; Log-normal particle size distribution, normalized concentration at particle diameter 835.64 nm; Log-normal particle size distribution, normalized concentration at particle diameter 889.78 nm; Log-normal particle size distribution, normalized concentration at particle diameter 92.87 nm; Log-normal particle size distribution, normalized concentration at particle diameter 947.42 nm; Log-normal particle size distribution, normalized concentration at particle diameter 98.89 nm; Neumayer; Neumayer_based; Neumayer_SPUSO; NEUMAYER III; size distribution; Spuso; SPUSO; Time in minutes
    Type: Dataset
    Format: text/tab-separated-values, 300234 data points
    Location Call Number Expected Availability
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