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  • 1
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    Complete mitochondrial genome MK992912 of Great Knot (Calidris tenuirostris) is a chimera with DNA from Pacific Golden Plover Pluvialis fulva (Aves: Charadriiformes) (2024)
    In:  Mitochondrial DNA Part B vol. 9 no. 4, pp. 532-535
    Details
    Publication Date: 2024-04-28
    Description: A complete mitochondrial genome of Great Knot (Calidris tenuirostris), MK992912, was published by He and colleagues in 2020. Here we show that this mitogenome is actually a chimera containing DNA fragments of both C. tenuirostris (15,567 bp, 92.8%) and Pacific Golden Plover (Pluvialis fulva, 1208 bp, 7.2%). Detecting such errors is possible before publication if each sequenced fragment is separately analyzed phylogenetically before assembling the fragments into a single mitogenome. This mitogenome has been re-used in at least four phylogenies. The error is documented to avoid the perpetuation of erroneous sequence information in the literature.
    Keywords: Chimerism ; laboratory ; errors ; mitogenome ; sequence artifacts ; shorebirds
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 2
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    A new, unusually large, Clavicornaltica Scherer, 1974 flea beetle from Borneo, described and sequenced in the field by citizen scientists (Coleoptera, Chrysomelidae, Galerucinae) (2024)
    Pensoft Publishers
    In:  Biodiversity Data Journal vol. 12 no. e119481
    Details
    Publication Date: 2024-04-28
    Description: Background: The genus Clavicornaltica Scherer 1974 consists of very small, soil-dwelling flea beetles in South, Southeast and East Asia. Due to their diminutive size and morphological similarities, very little is known about their ecology and taxonomical diversity. It is likely that further studies will reveal this genus to be much more speciose than the 30 species currently recognised. New information: A new species of Clavicornaltica from Brunei Darussalam is described, C. mataikanensis Otani et al., sp. nov. This is the second species of this genus recorded from Ulu Temburong National Park.
    Keywords: Lowland Dipterocarp rainforest ; citizen science ; new species ; humicole beetles ; taxonomy ; tourism
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 3
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    Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation (2024)
    In:  Sensors vol. 24 no. 7, pp. 2046-2046
    Details
    Publication Date: 2024-04-28
    Description: The ongoing biodiversity crisis, driven by factors such as land-use change and global warming, emphasizes the need for effective ecological monitoring methods. Acoustic monitoring of biodiversity has emerged as an important monitoring tool. Detecting human voices in soundscape monitoring projects is useful both for analyzing human disturbance and for privacy filtering. Despite significant strides in deep learning in recent years, the deployment of large neural networks on compact devices poses challenges due to memory and latency constraints. Our approach focuses on leveraging knowledge distillation techniques to design efficient, lightweight student models for speech detection in bioacoustics. In particular, we employed the MobileNetV3-Small-Pi model to create compact yet effective student architectures to compare against the larger EcoVADteacher model, a well-regarded voice detection architecture in eco-acoustic monitoring. The comparative analysis included examining various configurations of the MobileNetV3-Small-Pi-derived student models to identify optimal performance. Additionally, a thorough evaluation of different distillation techniques was conducted to ascertain the most effective method for model selection. Our findings revealed that the distilled models exhibited comparable performance to the EcoVAD teacher model, indicating a promising approach to overcoming computational barriers for real-time ecological monitoring.
    Keywords: passive acoustic monitoring ; eco-acoustics ; deep learning ; knowledge distillation ; bioacoustics ; classification ; transfer learning ; speech detection
    Repository Name: National Museum of Natural History, Netherlands
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  • 4
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    Diachronic quantification of the local marine reservoir effect (MRE) using Loripes orbiculatus shells from Late Holocene lagoonal deposits at Puntone di Scarlino (Central Tuscany, Italy): Proposed roles of microbial diagenesis and sedimentation rates (2024)
    In:  Quaternary Geochronology vol. 81 no. 101505
    Details
    Publication Date: 2024-04-28
    Description: With the aim of dating the early salt production at Puntone di Scarlino (Central Tuscany, Italy) and establishing the environmental history of this coastal site, a sediment core was studied, taken from the lagoon next to the archaeological site. Diachronic radiocarbon dating of terrestrial plant macro remains and Loripes orbiculatus (Poli, 1795) shells, a burrowing lucinid bivalve occurring throughout the sediment cored, revealed a Marine Reservoir Effect (MRE) that varied markedly over time. Between ca. 4000 and 2500 cal BP, the △R values ranged between −50 and + 500 14C years, thus rendering the Loripes shells truly unsuited for independent radiocarbon dating. Extensive geochemical and palaeoecological study of the core and its environment showed that none of the ubiquitous explanations for this highly variable MRE, such as ‘hard water’ or ‘upwelling old seawater’, can be valid. We attribute the phenomenon to the uptake by this lucinid mollusc of ‘old carbon’ from the sediment column into which it had burrowed, released by diagenetic microbial decomposition processes such as methanogenesis. The age of this inorganic carbon varied, being linked to the sedimentation rate: with decreasing sedimentation rate its impact will increase, whereas at high sedimentation rates its impact will likely be minimal. Our results raise serious doubts about the suitability for radiocarbon dating of benthic fauna from shallow coastal environments and point at these diagenetic processes as potentially important sources of ‘old carbon’.
    Keywords: Holocene ; Paleoceanography ; Europe ; Radiogenic isotopes ; Marine reservoir effect ; Loripes orbiculatus ; Diagenetic carbon flux
    Repository Name: National Museum of Natural History, Netherlands
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  • 5
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    Illuminating type collections of nectriaceous fungi in Saccardo's fungarium (2020)
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 221-249
    Details
    Publication Date: 2024-04-28
    Description: Specimens of Nectria spp. and Nectriella rufofusca were obtained from the fungarium of Pier Andrea Saccardo, and investigated via a morphological and molecular approach based on MiSeq technology. ITS1 and ITS2 sequences were successfully obtained from 24 specimens identified as ‘Nectria’ sensu Saccardo (including 20 types) and from the type specimen of Nectriella rufofusca. For Nectria ambigua, N. radians and N. tjibodensis only the ITS1 sequence was recovered. On the basis of morphological and molecular analyses new nomenclatural combinations for Nectria albofimbriata, N. ambigua, N. ambigua var. pallens, N. granuligera, N. peziza subsp. reyesiana, N. radians, N. squamuligera, N. tjibodensis and new synonymies for N. congesta, N. flageoletiana, N. phyllostachydis, N. sordescens and N. tjibodensis var. crebrior are proposed. Furthermore, the current classification is confirmed for Nectria coronata, N. cyanostoma, N. dolichospora, N. illudens, N. leucotricha, N. mantuana, N. raripila and Nectriella rufofusca. This is the first time that these more than 100-yr-old specimens are subjected to molecular analysis, thereby providing important new DNA sequence data authentic for these names.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; ancient DNA ; Ascomycota ; Hypocreales ; Illumina ; ribosomal sequences ; Sordariomycetes
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 6
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    The InBIO Barcoding Initiative Database: DNA barcodes of Iberian Bees (2024)
    Pensoft Publishers
    In:  Biodiversity Data Journal vol. 12 no. e117172
    Details
    Publication Date: 2024-04-28
    Description: Bees are important actors in terrestrial ecosystems and are recognised for their prominent role as pollinators. In the Iberian Peninsula, approximately 1,100 bee species are known, with nearly 100 of these species being endemic to the Peninsula. A reference collection of DNA barcodes, based on morphologically identified bee specimens, representing 514 Iberian species, was constructed. The "InBIO Barcoding Initiative Database: DNA Barcodes of Iberian bees" dataset contains records of 1,059 sequenced specimens. The species of this dataset correspond to about 47% of Iberian bee species diversity and 21% of endemic species diversity. For peninsular Portugal only, the corresponding coverage is 71% and 50%. Specimens were collected between 2014 and 2022 and are deposited in the research collection of Thomas Wood (Naturalis Biodiversity Center, The Netherlands), in the FLOWer Lab collection at the University of Coimbra (Portugal), in the Andreia Penado collection at the Natural History and Science Museum of the University of Porto (MHNC-UP) (Portugal) and in the InBIO Barcoding Initiative (IBI) reference collection (Vairão, Portugal).
    Keywords: Hymenoptera ; occurrence records ; species distributions ; peninsular Portugal ; peninsular ; Spain ; DNA barcode ; cytochrome c oxidase subunit I (COI) ; pollinator
    Repository Name: National Museum of Natural History, Netherlands
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  • 7
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    Cryphonectriaceae on Myrtales in China: phylogeny, host range, and pathogenicity (2020)
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 101-131
    Details
    Publication Date: 2024-04-28
    Description: Plantation-grown Eucalyptus (Myrtaceae) and other trees residing in the Myrtales have been widely planted in southern China. These fungal pathogens include species of Cryphonectriaceae that are well-known to cause stem and branch canker disease on Myrtales trees. During recent disease surveys in southern China, sporocarps with typical characteristics of Cryphonectriaceae were observed on the surfaces of cankers on the stems and branches of Myrtales trees. In this study, a total of 164 Cryphonectriaceae isolates were identified based on comparisons of DNA sequences of the partial conserved nuclear large subunit (LSU) ribosomal DNA, internal transcribed spacer (ITS) regions including the 5.8S gene of the ribosomal DNA operon, two regions of the β-tubulin (tub2/tub1) gene, and the translation elongation factor 1-alpha (tef1) gene region, as well as their morphological characteristics. The results showed that eight species reside in four genera of Cryphonectriaceae occurring on the genera Eucalyptus, Melastoma (Melastomataceae), Psidium (Myrtaceae), Syzygium (Myrtaceae), and Terminalia (Combretaceae) in Myrtales. These fungal species include Chrysoporthe deuterocubensis, Celoporthe syzygii, Cel. eucalypti, Cel. guangdongensis, Cel. cerciana, a new genus and two new species, as well as one new species of Aurifilum. These new taxa are hereby described as Parvosmorbus gen. nov., Par. eucalypti sp. nov., Par. guangdongensis sp. nov., and Aurifilum terminali sp. nov. Pathogenicity tests showed that the eight species of Cryphonectriaceae are pathogenic to two Eucalyptus hybrid seedlings, Melastoma sanguineum branches, and Psidium guajava and Syzygium jambos seedlings. The overall data showed that Chr. deuterocubensis is the most aggressive, followed by Par. eucalypti. Significant differences in tolerance were observed between the two tested Eucalyptus hybrid genotypes, suggesting that disease-tolerant genotypes can be selected for disease management in the Eucalyptus industry.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; Eucalyptus ; fungal pathogen ; host jump ; Myrtaceae ; new taxa ; plantation forestry
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 8
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    RADReef: A global Holocene Reef Rate of Accretion Dataset (2024)
    In:  Scientific Data vol. 11 no. 398
    Details
    Publication Date: 2024-04-28
    Description: Reef cores are a powerful tool for investigating temporal changes in reef communities. Radiometric dating facilitates the determination of vertical accretion rates, which has allowed for examination of local-regional controlling factors, such as subsidence and sea level changes. Coral reefs must grow at sufcient rates to keep up with sea level rise, or risk ‘drowning.’ As sea level is expected to rise signifcantly in the next 100 years and beyond, it is important to understand whether reefs will be able to survive. Historical records of reef accretion rates extracted from cores provide valuable insights into extrinsic controlling factors of reef growth and are instrumental in helping predict if future reefs can accrete at rates needed to overcome predicted sea level changes. While extensive research exists at local and regional scales, limited attention has been given to identifying global patterns and drivers. To address this, we present “RADReef”: A global dataset of dated Holocene reef cores. RADReef serves as a foundation for further research on past, present and future reef accretion.
    Keywords: Biogeochemistry ; Geomorphology ; Palaeoceanography ; Physical oceanography
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 9
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    Critical transitions in the Amazon forest system (2024)
    In:  Nature vol. 626 no. 7999, pp. 555-564
    Details
    Publication Date: 2024-04-28
    Description: The possibility that the Amazon forest system could soon reach a tipping point, inducing large-scale collapse, has raised global concern. For 65 million years, Amazonian forests remained relatively resilient to climatic variability. Now, the region is increasingly exposed to unprecedented stress from warming temperatures, extreme droughts, deforestation and fires, even in central and remote parts of the system. Long existing feedbacks between the forest and environmental conditions are being replaced by novel feedbacks that modify ecosystem resilience, increasing the risk of critical transition. Here we analyse existing evidence for five major drivers of water stress on Amazonian forests, as well as potential critical thresholds of those drivers that, if crossed, could trigger local, regional or even biome-wide forest collapse. By combining spatial information on various disturbances, we estimate that by 2050, 10% to 47% of Amazonian forests will be exposed to compounding disturbances that may trigger unexpected ecosystem transitions and potentially exacerbate regional climate change. Using examples of disturbed forests across the Amazon, we identify the three most plausible ecosystem trajectories, involving diferent feedbacks and environmental conditions. We discuss how the inherent complexity of the Amazon adds uncertainty about future dynamics, but also reveals opportunities for action. Keeping the Amazon forest resilient in the Anthropocene will depend on a combination of local eforts to end deforestation and degradation and to expand restoration, with global eforts to stop greenhouse gas emissions.
    Repository Name: National Museum of Natural History, Netherlands
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  • 10
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    Seawater carbonate chemistry and survival of early stage larval blue crabs, Callinectes sapidus (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-28
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Arthropoda; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Callinectes sapidus; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Coast and continental shelf; Coulometric titration; Day of experiment; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Laboratory experiment; Mortality/Survival; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Oxygen, dissolved; Oxygen, dissolved, standard deviation; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric; Proportion of survival; Registration number of species; Replicate; Salinity; Salinity, standard deviation; Single species; Species; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 10800 data points
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  • 11
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    Seawater carbonate chemistry and survival of economically important blue crab (Callinectes sapidus) larvae (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-28
    Description: Many shallow coastal systems experience diel fluctuations in dissolved oxygen (DO) and pH that can intensify throughout the summer season and expose estuarine organisms to repeated episodes of coastal hypoxia and acidification. In temperate regions, larval release of the economically important blue crab Callinectes sapidus occurs in the summer, and while the earliest stage (zoea I) larvae are susceptible to persistent low DO and low pH conditions, their sensitivity to diel fluctuations is unknown. Here, a series of short-term (〈=96 h) experiments were conducted to investigate the survival of C. sapidus zoea I larvae exposed to a range of diel cycling hypoxic and acidified conditions and durations. Two experiments comparing a diel cycling DO/pH treatment (fluctuating from 30% air saturation to 103% averaging 66%/and from pH 7.26 to 7.80 averaging 7.53) to a static low DO/pH treatment (43%/7.35), a static moderate DO/pH treatment (68%/7.59), and a static control treatment (106%/7.94) indicated that survival in the diel cycling treatment was significantly lower than the moderate treatment (p 〈 0.05) by 75 and 48% over 96 and 48 h, respectively, despite comparable mean experimental DO/pH values. Three other experiments aimed at identifying the effective minimum duration of low DO/low pH to significantly depress larval survival under diel cycling conditions revealed that 8 h of low DO/low pH (28%/7.43) over a 24-h diel cycle consistently decreased survival (p 〈 0.05) relative to control conditions by at least 55% regardless of experimental duration (72-, 48-, and 24-h experiments). An increase in DO beyond saturation to supersaturation (160%) and pH beyond normocapnic to highly basified (8.34) conditions during the day phase of the diel cycle did not improve survival of larvae exposed to nocturnal hypoxia and acidification. Collectively, these experiments demonstrate that diel cycling does not provide newly hatched C. sapidus larvae a temporal refuge capable of ameliorating low DO/pH stress, but rather is more lethal than chronic exposure to comparable average DO/pH conditions. Given that larvae exposed to a single nocturnal episode of moderate hypoxia and acidification experience significantly reduced survival, such occurrences may depress larval recruitment.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Arthropoda; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Callinectes sapidus; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Mortality/Survival; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Oxygen, dissolved; Oxygen, dissolved, standard deviation; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Registration number of species; Salinity; Salinity, standard deviation; Shinnecock_Bay_OA; Single species; Species; Survival; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 3032 data points
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  • 12
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    Seawater carbonate chemistry and the growth of North Atlantic bivalves (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-28
    Description: Coastal zones can be focal points of acidification where the influx of atmospheric CO2 can be compounded by additional sources of acidity that may collectively impair calcifying organisms. While the photosynthetic action of macrophytes may buffer against coastal ocean acidification, such activity has not been well-studied, particularly among aquacultured seaweeds. Here, we report on field and laboratory experiments performed with North Atlantic populations of juvenile hard clams (Mercenaria mercenaria), eastern oysters (Crassostrea virginica), and blue mussels (Mytilus edulis) grown with and without increased CO2 and with and without North Atlantic kelp (Saccharina latissima) over a range of aquaculture densities (0.3 – 2 g/L). In all laboratory experiments, exposure to elevated pCO2 (〉1,800 µatm) resulted in significantly reduced shell- and/or tissue-based growth rates of bivalves relative to control conditions. This impairment was fully mitigated when bivalves were exposed to the same acidification source but also co-cultured with kelp. Saturation states of aragonite were transformed from undersaturated to saturated in the acidification treatments with kelp present, while the acidification treatments remained undersaturated. In a field experiment, oysters grown near aquacultured kelp were exposed to higher pH waters and experienced significantly faster shell and tissue based growth rates compared to individuals grown at sites away from kelp. Collectively, these results suggest that photosynthesis by S. latissima grown at densities associated with aquaculture increased pH and decreased pCO2, fostering a carbonate chemistry regime that maximized the growth of juvenile bivalves. As S. latissima has been shown to benefit from increased CO2, growing bivalves and kelp together under current or future acidification scenarios may be a synergistically beneficial integrated, multi-trophic aquaculture approach.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Coast and continental shelf; Crassostrea virginica; Experiment; Field experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Laboratory experiment; Mercenaria mercenaria; Mollusca; Mytilus edulis; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Other; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Saccharina latissima; Salinity; Salinity, standard deviation; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Species interaction; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type
    Type: Dataset
    Format: text/tab-separated-values, 1074 data points
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  • 13
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    Sustainable industries through digital supply chains? (2023)
    In:  RIFS Blog, 06.03.2023
    Details
    Publication Date: 2024-04-27
    Description: Digitalisation has transformed the way we communicate and collaborate with friends, family, and colleagues. In a similar vein, digitalisation in industry – the so-called industry 4.0 – is expected to transform the way firms and their suppliers collaborate in global supply chains. Considering that 25 percent of global emissions in 2021 were generated by industry (IEA): Can industry 4.0 play a role in greening industrial supply chains? Researchers at the Research Institute for Sustainability (RIFS) at the Helmholtz Centre Potsdam explored the opportunities and risks of digital supply chains for environmental sustainability. In short: sustainability does not simply occur as a by-product of digitalization. Firms should aim to increase sustainability levels in their supply chain – whether through digital or non-digital means.
    Language: English
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    CITATION RIFS
  • 14
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    How can I Live Sustainably? (2023)
    In:  RIFS Blog, 09.01.2023
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    Publication Date: 2024-04-27
    Language: English
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  • 15
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    Brazil: An Environmental Power (2023)
    In:  RIFS Blog, 26.01.2023
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    Publication Date: 2024-04-27
    Description: What to expect of the incoming Lula government’s environmental policy
    Language: English
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  • 16
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    RIFS Focal Topic: The Year in Review (2023)
    In:  RIFS Blog, 24.01.2023
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    Publication Date: 2024-04-27
    Description: As we start off the new year and set our sights on new goals and projects, we also want to take stock of the many activities and achievements of the RIFS “Justice in Sustainability” focal topic team during 2022.
    Language: English
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  • 17
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    The Turn of the Year in Climate Policy: Insights and Outlook (2023)
    In:  RIFS Blog, 16.01.2023
    Details
    Publication Date: 2024-04-27
    Description: The term “triple crisis” loomed large in 2022: The interlinking crises of the pandemic, the climate and energy crises, and the war in Ukraine took many people to their existential limits this past year. Geopolitically, we now face a fragmented world in which power relations are increasingly contested. This was evident at the Sharm el-Sheikh Climate Change Conference (COP 27) in November, where familiar lines of conflict shaped negotiations. Tensions between countries of the Global North and South, for example: Who bears how much responsibility for the climate change that is already occurring (not least of all financial responsibility!) and who (still) counts as a developing country and should be granted support? Debate also continues to rage around the exploitation and use of fossil fuels, which many countries wish to continue for as long as possible – even under the Paris Agreement.
    Language: English
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  • 18
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    Hidden Ghosts: A Story of Climate Devastation (2023)
    In:  RIFS Blog, 23.01.2023
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    Publication Date: 2024-04-27
    Description: Let's close our eyes for a moment and travel back in time to childhood. Try to remember a time when you felt scared or devastated, the feeling of losing someone you truly love. And now, let’s imagine that these moments begin to multiply and persist. They stay in our minds for days and weeks.
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  • 19
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    Infrastructuring Environmental (In)Justice: On the Political Geographies of Energy Technologies in Planetary Crises (2023)
    In:  RIFS Blog, 06.03.2023
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    Publication Date: 2024-04-27
    Language: English
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  • 20
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    A Treaty for the High Seas (2023)
    In:  RIFS Blog, 11.01.2023
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    Publication Date: 2024-04-27
    Description: For years now the international community has been negotiating an agreement that will cover more than half of the Earth's surface and establish rules for the conservation and sustainable use of marine biodiversity. Will they succeed?
    Language: English
    Type: info:eu-repo/semantics/other
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  • 21
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    Boletín CTN Diocean No. 3 / 2023 (2024)
    Comisión Colombiana del Océano | Bogotá D.C., Colombia
    Details
    Publication Date: 2024-04-27
    Description: Hace tres años atrás el Comité Técnico Nacional de Coordinación de Datos e Información Oceánicos (CTN Diocean) de la Comisión Colombiana del Océano (CCO), estableció un plan de trabajo que abarca cinco años de actividades institucionales para fortalecer la gestión de estos importantes activos del país. Para entonces se tuvieron en cuenta diferentes estrategias como línea base para definir las tareas a desarrollar, y en la actualidad es gratificante para miembros e invitados permanentes confirmar, que lo planeado sigue vigente y acorde con los desafíos del ‘Decenio de las Ciencias Oceánicas para el Desarrollo Sostenible’, las necesidades de la comunidad y los recientes lineamientos de política nacionales e internacionales. En el presente número del Boletín CTN Diocean, se destacan entre otros, dos reconocimientos logrados en el nivel internacional por parte de instituciones que hacen parte del comité y que le aportan al fortalecimiento de la gestión de datos oceánicos de Colombia: el primero, los datos abiertos oceanográficos como una actividad del ‘Decenio de las Ciencias Oceánicas para el Desarrollo Sostenible’ de la Comisión Oceanográfica Intergubernamental (COI); y el segundo, la copresidencia para el periodo entre sesiones 2023-2025 del programa para el Intercambio Internacional de Datos Oceanográficos (COI-IODE) junto con Suecia, en el marco de la cual se inició la asesoría con nuestros hermanos panameños en la materia.
    Description: Published
    Description: Not Known
    Keywords: Acceso abierto ; Usuario de información ; Gestión de la información ; Base de datos ; Sistema de información ; Organización y gestión ; ASFA_2015::G::Geographic information systems ; ASFA_2015::I::Information centres ; ASFA_2015::D::Databases ; ASFA_2015::I::Information handling
    Repository Name: AquaDocs
    Type: Book/Monograph/Conference Proceedings
    Format: 29
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  • 22
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    Efeitos de ações antrópicas sobre as interações bióticas entre os peixes de uma planície de inundação Neotropical: alterações nos padrões de coocorrência de espécies. (2024)
    Universidade Estadual de Maringá. Departamento de Biologia. Programa de Pós-Graduação em Ecologia de Ambientes Aquáticos Continentais
    Details
    Publication Date: 2024-04-27
    Description: The freshwater ichthyofauna is largely threatened by the anthropogenic impacts in these ecosystems. The climatic changes caused by human actions and dams’ constructions concerningly affects the freshwater fishes, including its biotic interactions network. Thus, this work aimed at evaluating the Upper Paraná River floodplain’s (UPRF) ichthyofauna under the impacts caused by climate changes, years of extreme drought an extreme flood, and under the impacts caused by the construction of an upstream dam, the Sérgio Motta Hydroelectric Power Plant, Brazil. The sampled years were classified in extreme drought, neutral and extreme flood, according to the predominant characteristics of its hydrological regime, and in pré-damming years, before the upstream hydroelectric power plant construction and reservoir’s flooding, and post-damming years. The abiotic and hydrometric variables were concurrently sampled with the abundance of fish species, allowing to exclude the environmental variables’ effects over the species’ cooccurrence, using multivariate generalized linear models with latent variables. The force of the interspecific biotic interactions was obtained through cooccurrence values for each pair of species, visualized through negative, neutral, and positive values. Regarding the results involving the hydrological regime influence, it was observed differences between drought, neutral and flood years, with stronger cooccurrence values between the UPRF’s ichthyofauna in drought years (for positive and negative values). Regarding the results involving the construction of the UPRF’s upstream dam, it was observed differences comparing the pré-damming and post-damming years cooccurrence patters, with predominantly positive values in post-damming years, and predominantly neutral cooccurrences in pré-damming years. These work results indicate the increment of the cooccurrence values between a floodplain’s fish species due to extreme droughts and upstream dams’ constructions, once the cooccurrence values were more intense under these conditions. Stands out the importance of biotic interactions for the elaboration of management plans and freshwater species conservation in response to anthropogenic actions.
    Description: A ictiofauna de ambientes de água doce se encontra amplamente ameaçada por ações antrópicas. As mudanças climáticas e a construção de barragens afetam os peixes de água doce e suas redes de interações bióticas. Neste contexto, este estudo avaliou a ictiofauna da planície de inundação do alto rio Paraná (PIARP) sob os impactos de mudanças climáticas, épocas de secas e cheias extremas, e sob os impactos causados pela construção de uma barragem a montante, a Usina Hidrelétrica Sérgio Motta, Brasil. Os anos amostrados foram classificados em anos de seca extrema, neutros e de cheia extrema, de acordo com as condições predominantes de seu regime hidrológico, e em anos de pré-barramento, antes da construção e inundação do reservatório da usina hidrelétrica a montante, e pós-barramento. As variáveis abióticas e variáveis hidrométricas foram amostradas concomitantemente com a abundância das espécies de peixe, permitindo excluir o efeito das variáveis ambientais sobre a ocorrência das espécies, com o uso de modelos lineares generalizados multivariados de variáveis latentes. Obteve-se a força das interações bióticas interespecíficas pelos valores de coocorrência, positivos ou negativos, entre cada par de espécies. Com relação aos resultados envolvendo a influência dos regimes hidrológicos, foram encontradas diferenças nos valores médios de coocorrência entre anos de seca extrema, anos neutros e anos de cheia extrema, indicando que os valores de coocorrência são mais fortes entre a ictiofauna da PIARP (tanto interações positivas quanto negativas) em anos de seca. Para os efeitos da construção da barragem a montante da PIARP, observou-se diferenças entre os padrões de coocorrência de espécies antes e após a sua construção, indicando valores de coocorrência predominantemente positivos no período pós-barramento, e coocorrências predominantemente neutras no período pré-barramento. Os resultados indicam incremento nos padrões de coocorrência entre as espécies de peixes da planície de inundação frente secas extremas e construção de barragens a montante, uma vez que os valores de coocorrência foram mais intensos sob essas condições. Destaca-se a importância das interações bióticas em resposta às ações antrópicas para a elaboração de planos de manejo e para a conservação das espécies de peixes de água doce.
    Description: PhD
    Keywords: Peixes de água doce ; Comunidades, Ecologia de ; Interações bióticas ; Ações antrópicas ; Coocorrência de espécies ; Variáveis ambientais ; Variáveis hidrométricas ; Generalized linear latent variable models (GLLVM) ; ASFA_2015::F::Freshwater ecology ; ASFA_2015::F::Freshwater fish ; ASFA_2015::C::Communities (ecological) ; ASFA_2015::I::Interactions ; ASFA_2015::A::Anthropogenic factors ; ASFA_2015::S::Species diversity ; ASFA_2015::E::Environmental factors ; ASFA_2015::H::Hydrometers
    Repository Name: AquaDocs
    Type: Thesis/Dissertation
    Format: 71pp.
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  • 23
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    Classification of a high latitude bog using multispectral drone imagery (2023)
    In:  EPIC3
    Details
    Publication Date: 2024-04-27
    Description: Peatlands store and emit large amounts of greenhouse gases. With the climate changing due to global warming, measuring these emissions helps to get a better understanding of the role of peatlands in the global carbon cycle. Measurements at a bog site of the Siikaneva peatland show that the emissions vary along the different microtopographies shaped by their vegetation and ground water level. To upscale these measurements, a supervised classification of the study area was implemented in this study by testing a method that uses high-resolution multispectral aerial imagery, captured by a UAV (Uncrewed Aerial Vehicle), and a Random Forest classifier. A cohesive orthomosaic of the study area was produced, training data were generated to adjust the Random Forest model, and the study area was classified. The results show that the applied methods were successful in generating a multispectral orthomosaic as well as a classified raster of the study area. A mean classification accuracy of 75.7 % was achieved, which can be considered as a good result. Misclassification rates of neighboring microtopographies with similar vegetation could be mitigated by utilizing a LiDAR (Light Detection and Ranging) sensor in further studies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev
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  • 24
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    Dieback and decline pathogens of olive trees in South Africa (2020)
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 196-220
    Details
    Publication Date: 2024-04-27
    Description: Trunk disease fungal pathogens reduce olive production globally by causing cankers, dieback, and other decline-related symptoms on olive trees. Very few fungi have been reported in association with olive dieback and decline in South Africa. Many of the fungal species reported from symptomatic olive trees in other countries have broad host ranges and are known to occur on other woody host plants in the Western Cape province, the main olive production region of South Africa. This survey investigated the diversity of fungi and symptoms associated with olive dieback and decline in South Africa. Isolations were made from internal wood symptoms of 145 European and 42 wild olive trees sampled in 10 and 9 districts, respectively. A total of 99 taxa were identified among 440 fungal isolates using combinations of morphological and molecular techniques. A new species of Pseudophaeomoniella, P. globosa, had the highest incidence, being recovered from 42.8 % of European and 54.8 % of wild olive samples. This species was recovered from 9 of the 10 districts where European olive trees were sampled and from all districts where wild olive trees were sampled. Members of the Phaeomoniellales (mainly P. globosa) were the most prevalent fungi in five of the seven symptom types considered, the only exceptions being twig dieback, where members of the Botryosphaeriaceae were more common, and soft/white rot where only Basidiomycota were recovered. Several of the species identified are known as pathogens of olives or other woody crops either in South Africa or elsewhere in the world, including species of Neofusicoccum, Phaeoacremonium, and Pleurostoma richardsiae. However, 81 of the 99 taxa identified have not previously been recorded on olive trees and have unknown interactions with this host. These taxa include one new genus and several putative new species, of which four are formally described as Celerioriella umnquma sp. nov., Pseudophaeomoniella globosa sp. nov., Vredendaliella oleae gen. & sp. nov., and Xenocylindrosporium margaritarum sp. nov.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; Celerioriella ; five new taxa ; Olea europaea subsp. cuspidata ; Olea europaea subsp. europaea ; phylogenetics ; Pseudophaeomoniella ; taxonomy ; Vredendaliella ; Xenocylindrosporium
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 25
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    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_208 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alloxanthin; Bacteriochlorophyll a; Basis of event; Bottle number; Campaign of event; Carotene; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll b + divinyl chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophyllide a; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Diadinoxanthin; Diatoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; File name; Fondation Tara Expeditions; FondTara; Fucoxanthin; High Performance Liquid Chromatography (HPLC); Ilulissat to Québec, Stations: TARA_208-210; Latitude of event; Longitude of event; Lutein; Method/Device of event; Neoxanthin; Nitrate and Nitrite; Nitrite; Optional event label; Peridinin; Phaeophorbide a; Phaeophytin a; Phosphate; Prasinoxanthin; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20131020T1043Z_208_EVENT_CAST; TARA_20131020Z; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 420 data points
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  • 26
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    Results of coarse fraction analysis of sediment core PS87/023-1 (2014)
    PANGAEA
    In:  Korea Institute of Geosciences and Mineral Resources
    Details
    Publication Date: 2024-04-27
    Keywords: Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Basalt; Carbonates; Coarse fraction/modal analysis; DEPTH, sediment/rock; Foraminifera, agglutinated, species indeterminata; Foraminifera, benthic; Foraminifera, planktic; Heavy minerals; KAL; Kasten corer; Mica; Neogloboquadrina pachyderma dextral; Neogloboquadrina pachyderma sinistral; Ostracoda; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS87; PS87/023-1; Quartz/Feldspar ratio; Rock fragments; Sand; Sponge spiculae
    Type: Dataset
    Format: text/tab-separated-values, 1082 data points
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  • 27
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    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_190 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; Basis of event; Bottle number; Campaign of event; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Dudinka to Pevek, Stations: TARA_182-192; Event label; File name; Fondation Tara Expeditions; FondTara; Latitude of event; Longitude of event; Method/Device of event; Optional event label; Pressure, water; Rosette Vertical Sampling System; Salinity; Station label; SV Tara; TARA_20130801Z; TARA_20130901T0035Z_190_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 28
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    Occurrence of agglutinated benthic foraminifer taxa in sediment core PS87/030-1 (2014)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-04-27
    Keywords: Alveolophragmium polarensis; Ammodiscus catinus; Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Capsammina sp.; Cribrostomoides subglobosum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera, benthic agglutinated indeterminata; Glomospira gordialis; Glomospira irregularis; Haplophragmoides sp.; Haplophragmoides sphaeriloculus; Hemisphaerammina sp.; Hyperammina rugosa; Jaculella sp.; KAL; Kasten corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Placopsilinella aurantiaca; Polarstern; PS87; PS87/030-1; Psammosphaera bowmanni; Psammosphaera fusca; Pseudonodosinella nodulosa; Recurvoides sp.; Reophax arcticus; Reophax bradyi; Reophax duplex; Reophax scorpiurus; Reticulophragmium pusillum; Rhabdammina; Trochammina lomonosovensis; Trochammina pseudoinflata; Trochammina quadriloba; Verrucina arctica
    Type: Dataset
    Format: text/tab-separated-values, 781 data points
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  • 29
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    Occurrence of agglutinated benthic foraminifer taxa in sediment core PS87/079-1 (2014)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-04-27
    Keywords: Ammodiscus catinus; Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Capsammina; Cribrostomoides subglobosum; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Foraminifera, benthic agglutinated indeterminata; Glomospira gordialis; Glomospira irregularis; Haplophragmoides sp.; Hemisphaerammina sp.; Hyperammina rugosa; KAL; Kasten corer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Placopsilinella aurantiaca; Polarstern; PS87; PS87/079-1; Psammosphaera fusca; Pseudonodosinella nodulosa; Recurvoides sp.; Reophax sp.; Reticulophragmium pusillum; Rhabdammina sp.; Trochammina lomonosovensis; Verrucina arctica
    Type: Dataset
    Format: text/tab-separated-values, 820 data points
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  • 30
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    No detectable effect of CO2 on elemental stoichiometry of Emiliania huxleyi in nutrient-limited, acclimated continuous cultures (2014)
    PANGAEA
    In:  Supplement to: Engel, Anja; Cisternas Novoa, Carolina; Wurst, Mascha; Endres, Sonja; Tang, Tiantian; Schartau, Markus; Lee, Cindy (2014): No detectable effect of CO2 on elemental stoichiometry of Emiliania huxleyi in nutrient-limited, acclimated continuous cultures. Marine Ecology Progress Series, 507, 15-30, https://doi.org/10.3354/meps10824
    Details
    Publication Date: 2024-04-27
    Description: Effects of CO2 concentration on elemental composition of the coccolithophore Emiliania huxleyi were studied in phosphorus-limited, continuous cultures that were acclimated to experimental conditions for 30 d prior to the first sampling. We determined phytoplankton and bacterial cell numbers, nutrients, particulate components like organic carbon (POC), inorganic carbon (PIC), nitrogen (PN), organic phosphorus (POP), transparent exopolymer particles (TEP), as well as dissolved organic carbon (DOC) and nitrogen (DON), in addition to carbonate system parameters at CO2 levels of 180, 380 and 750 µatm. No significant difference between treatments was observed for any of the measured variables during repeated sampling over a 14 d period. We considered several factors that might lead to these results, i.e. light, nutrients, carbon overconsumption and transient versus steady-state growth. We suggest that the absence of a clear CO2 effect during this study does not necessarily imply the absence of an effect in nature. Instead, the sensitivity of the cell towards environmental stressors such as CO2 may vary depending on whether growth conditions are transient or sufficiently stable to allow for optimal allocation of energy and resources. We tested this idea on previously published data sets where PIC and POC divided by the corresponding cell abundance of E. huxleyi at various pCO2 levels and growth rates were available.
    Keywords: Abundance per volume; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, organic, dissolved, per cell; Carbon, organic, dissolved/Nitrogen, organic, dissolved ratio; Carbon, organic, particulate, per cell; Carbon, organic, particulate, standard deviation; Carbon, organic, particulate/Nitrogen, particulate ratio; Carbon, organic, particulate/Nitrogen, particulate ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Day of experiment; Emiliania huxleyi; Emiliania huxleyi, standard deviation; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haptophyta; Laboratory experiment; Laboratory strains; Nitrogen, organic, dissolved, per cell; Nitrogen, particulate, per cell; Nitrogen, total, particulate/Phosphorus, organic, particulate, ratio; Nitrogen, total, particulate/Phosphorus, organic, particulate, ratio, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Pelagos; pH; pH, standard deviation; Phosphorus, organic, particulate, per cell; Phytoplankton; Salinity; Single species; Species; Standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3723 data points
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  • 31
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    Seawater carbonate chemistry and Arctic phytoplankton blooms and dimethyl sulfide concentration (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Arctic; Bacteria; Baffin_Bay; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Community composition and diversity; Dimethyl sulfide; Dimethylsulfoniopropionate; Dimethylsulfoniopropionate, dissolved; Entire community; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Group; Identification; Laboratory experiment; Light; MULT; Multiple investigations; Nanophytoplankton; Nitrate; Nitrite; Number of cells; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picophytoplankton; Polar; Salinity; Silicate; Temperature, water; Time point, descriptive; Treatment; Type; Viral abundance
    Type: Dataset
    Format: text/tab-separated-values, 5805 data points
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  • 32
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    Experimental assessment of the St. Lawrence Estuary phytoplankton fall bloom sensitivity and DMS concentrations to acidification and warming (2018)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Bacteria; Bacterial production; Bicarbonate ion; Brackish waters; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Date; Dimethyl sulfide; Dimethylsulfoniopropionate; Entire community; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Identification; Laboratory experiment; Mesocosm or benthocosm; Nanophytoplankton; Nitrate; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picocyanobacteria; Picoeukaryotes; Primary production/Photosynthesis; Primary production of carbon per day; Salinity; Silicate; Temperate; Temperature; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 6404 data points
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  • 33
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    Statistical Reconstruction of Daily Precipitation and Temperature Fields in Switzerland back to 1864 (2019)
    PANGAEA
    In:  Supplement to: Pfister, Lucas; Brönnimann, Stefan; Schwander, Mikhaël; Isotta, Francesco Alessandro; Horton, Pascal; Rohr, Christian (2020): Statistical reconstruction of daily precipitation and temperature fields in Switzerland back to 1864. Climate of the Past, 16(2), 663-678, https://doi.org/10.5194/cp-16-663-2020
    Details
    Publication Date: 2024-04-27
    Description: Spatial information on past weather contributes to better understand the processes behind day-to-day weather variability and to assess the risks arising from weather extremes. This dataset provides daily, high-resolution reconstructions of precipitation and temperature fields for Switzerland back to 1864. Reconstructions are provided as "raw" data resulting from an analogue resampling method (ARM), as well as post-processed data (using an ensemble Kalman fitting approach for temperature and quantile mapping for precipitation. For further information, the reader is referred to the references. The dataset comprises the following files: - 2019-10-06_precip_ARM_1864-01-01-2017-12-31.nc (precipitation, analogue reconstructions) - 2019-10-06_precip_qmap_1864-01-01-2017-12-31.nc (precipitation, post-processed) - 2019-10-06_temp_ARM_1864-01-01-2017-12-31.nc (temperature, analogue reconstructions) - 2019-10-06_temp_EnKF_1864-01-01-2017-12-31.nc (temperature, post-processed)
    Keywords: analogue method; historical weather data; Kalman filter; quantile mapping; Switzerland; Switzerland_WS; weather reconstruction
    Type: Dataset
    Format: application/zip, 7.9 GBytes
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  • 34
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    Resistivity and permeability of core samples from the Samail ophiolite, Oman (Oman Drilling Project) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset presents analyses of resistivity and permeability of core samples collected by the Oman drilling project (Samail ophiolite). Resistivity was measured using impedance analyzer (Agilent 4294A) at the drilling vessel Chikyu, and permeability was calculated from the Hashin-Shtrikman upper bound and the cubic law between permeability and porosity.
    Keywords: CDRILL; Core drilling; DEPTH, sediment/rock; Event label; Latitude of event; Lithology/composition/facies; Longitude of event; Oman; OmanDP; OmanDP_BA1B; OmanDP_BA4A; OmanDP_CM1A; Oman Drilling Project; ophiolite; permeability; Permeability (earth science); resistivity; Resistivity, dry; Resistivity, wet
    Type: Dataset
    Format: text/tab-separated-values, 1623 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 35
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    Organic matter composition of the water column in mesocosm study (Bergen 2011) (2020)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: During the ocean acidification study in Bergen (2011) we measured concentrations of dissolved organic carbon (DOC) and nitrogen (DOC) as well as concentrations of total and dissolved amino acids and carbohydrates including individual compounds in mesocosms.
    Keywords: Amino acid, total; amino acids; Amino acids, dissolved; BIOACID; Biological Impacts of Ocean Acidification; carbohydrates; Carbohydrates, dissolved; Carbohydrates, total combined; Carbon, organic, dissolved; DATE/TIME; Identification; KOSMOS_2011_Bergen; MESO; mesocosm; Mesocosm experiment; Nitrogen, organic, dissolved; Ocean acidification; organic matter; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Phase; Ratio; Raunefjord; SOPRAN; Surface Ocean Processes in the Anthropocene; Time, incubation
    Type: Dataset
    Format: text/tab-separated-values, 9976 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 36
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    Concentrations and fluxes of the sea-ice biomarkers 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane (IP25) and highly branched isoprenoid triene (HBI III) from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Concentrations of the sea-ice biomarker IP25 and highly branched isoprenoid triene (HBI III) (ng/g), total organic carbon content (TOC; %), IP25 and HBI III concentrations normalized to TOC (ng/gTOC), and fluxes of IP25 and HBI III (ng/unit surface area/yr) from the marine sediment core AMD14-204_CASQ that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, flux; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Gas chromatography - Mass spectrometry (GC-MS); Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Highly branched isoprenoids, triunsatured; Highly branched isoprenoids, triunsatured, flux; Highly branched isoprenoids, triunsatured, per unit mass total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 1925 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 37
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    Unknown
    Sea-ice meiofauna biomass, carbon demand, and secondary production in Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in spring 2015 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: We investigated the biomass, carbon demand, and secondary production of sea-ice meiofauna (here heterotrophs 〉10μm) at eight ice stations on Arctic pack ice north of Svalbard. Sampling was conducted during spring 2015 by sea-ice coring. The biomass (µgCm-²) for sea-ice meiofauna taxa was calculated by multiplying abundances (ind. m-²) of each taxon obtained from Ehrlich et al. (2020) (https://doi.org/10.3389/fmars.2020.00452) by the carbon content per individual of this taxon. The mass-specific ingestion rate of each taxon was multiplied by the biomass of that taxon at every station to determine the carbon demand per day. For the calculation of sea-ice meiofauna secondary production all production-biomass (P/B) ratios were obtained from Forest et al. (2014) (https://doi.org/10.5194/bg-11-2827-2014).
    Keywords: Amoebozoa, biomass as carbon; Amoebozoa, ingestion rate as carbon; Amoebozoa, production as carbon; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Biomass; Calculated; Campaign; Ciliophora, biomass as carbon; Ciliophora, ingestion rate as carbon; Ciliophora, production as carbon; DATE/TIME; Dinophyceae, biomass as carbon; Dinophyceae, ingestion rate as carbon; Dinophyceae, production as carbon; Event label; Harpacticoida, biomass as carbon; Harpacticoida, ingestion rate as carbon; Harpacticoida, production as carbon; ICE; Ice station; LATITUDE; Location; LONGITUDE; Nauplii, biomass as carbon; Nauplii, ingestion rate as carbon; Nauplii, production as carbon; pack ice; Polarstern; Principal investigator; PS92; PS92/019-6; PS92/027-2; PS92/031-2; PS92/032-4; PS92/039-6; PS92/043-4; PS92/046-1; PS92/047-3; Rotifera, biomass as carbon; Rotifera, ingestion rate as carbon; Rotifera, production as carbon; sea-ice meiofauna; Station label; Svalbard; sympagic fauna; Tintinnina, biomass as carbon; Tintinnina, ingestion rate as carbon; Tintinnina, production as carbon; Type
    Type: Dataset
    Format: text/tab-separated-values, 208 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 38
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    Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV SONNE during cruise SO184/2 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was continuously recorded during RV SONNE cruise SO184/2. Data was recorded on 20 days between 2005-08-01 and 2005-08-20. This dataset contains an elongated transit survey east of Sumatra and Suva, Indonesia. Data covers parts of the continental shelf and continental slope. The approximate average depth of the entire dataset is around 2300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. However, data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; PABESIA; Ship speed; SO184/2; SO184/2_0_Underway-1; Sonne; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 15780 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 39
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    Swiss Early Meteorological Observations v2.0 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: A collection of early instrumental meteorological records for 46 locations in Switzerland and one in France covering the 18th and 19th century. Available variables are air temperature, pressure, precipitation, snow depth, snow/rain occurrence, humidity, wind force and direction, cloud cover, wet bulb temperature, water temperature, soil temperature, and weather description, for a total of ca. 5 million observations. Air temperature, pressure, and precipitation data (ca. 3 million observations) have been converted to modern units and quality controlled. Time has been converted to UTC.
    Keywords: Binary Object; File content; Switzerland
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 40
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    Unknown
    Multibeam bathymetry raw data (EM 120 echosounder entire dataset) of RV SONNE during cruise SO184/3 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg (Simrad) EM 120 multibeam echosounder was continuously recorded during RV SONNE cruise SO184/3. Data was recorded on 20 days between 2005-08-22 and 2005-09-10. This dataset contains an elongated transit survey south of the islands of Indonesia. Data covers parts of the continental shelf and continental slope. The approximate average depth of the entire dataset is around 2500m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. No ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus no SVP files are added to this dataset. However, data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (Media Type); DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; Number of pings; Ship speed; SO184/3; SO184/3_0_Underway-1; Sonne; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM-120 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 14943 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 41
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    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO268/3 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV SONNE cruise SO268/3. Data was recorded on 29 days between 2019-05-31 and 2019-06-28. This dataset contains a transit survey in the North Pacific Ocean. The approximate average depth of the entire dataset is around 5300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed several times during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; North Pacific Ocean, western part; Number of pings; Ship speed; SO268/3; SO268/3_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude
    Type: Dataset
    Format: text/tab-separated-values, 12062 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 42
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    Unknown
    Water column raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO268/3 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Water column raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV SONNE cruise SO268/3. Data were recorded 30 days between 2019-05-31 and 2019-06-28 in the North Pacific Ocean. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH and added to the corresponding multibeam raw dataset doi:10.1594/PANGAEA.952266 This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM).
    Keywords: Bathymetry; Binary Object; Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Extracted from file; Extracted with MB-System; File content; KEM122; Kongsberg datagram raw file name; KONGSBERG EM122; LATITUDE; LONGITUDE; Multibeam Echosounder; North Pacific Ocean, western part; Number of pings; Ship speed; SO268/3; SO268/3_0_Underway-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 12060 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 43
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    Unknown
    Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO270 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV SONNE cruise SO270. Data was recorded on 40 days between 2019-09-13 and 2019-10-22. This dataset contains an elongated transit survey in the Indian Ocean over the Mid-Idian Ocean Basin also crossing the Fuji Seamount (mainly deep sea area's). In addition, this dataset contains survey data from the Saya de Malha Bank and Sommerville Bank with shallow water depth. The approximate average depth of the entire dataset is around 4100m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. Also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).
    Keywords: Bathymetry; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); Comment; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; Expendable Sound Velocimeter; Extracted from file; Extracted with MB-System; File content; Kongsberg datagram raw file name; Kongsberg EM122 Multibeam Echo Sounder; LATITUDE; LONGITUDE; MASCARA; Multibeam Echosounder; Number of pings; Ship speed; SO270; SO270_0_Underway-2; SO270_10-1; SO270_22-1; SO270_31-2; SO270_58-2; SO270_84-2; SO270_9-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; XSV
    Type: Dataset
    Format: text/tab-separated-values, 13604 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 44
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    Seawater carbonate chemistry dataset collected during the Tara Pacific Expedition 2016-2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide results of carbonate chemistry for seawater samples collected during the expedition at the offshore and inshore sampling stations as well as at coral sampling sites (a few meters from studied colonies). The sampling protocol was described by Gorsky et al. (2019). Briefly, unfiltered seawater was collected once a week during the cruise and poisoned with Hg2Cl2 before to be stored on TARA board (356 samples). Like for TARA-Ocean expedition (Picheral et al, 2014) Total Alkalinity (TA) and Total Inorganic Carbon (TC) were measured at the SNAPO-CO2 facility at LOCEAN laboratory (Paris, France) and analyzed simultaneously by potentiometric titration derived from the method developed by Edmond (1970) using a closed cell. Calibrated Certified Reference Material (CRM, Dickson et al, 2007) were regularly analyzed (CRM Batches 155, 173 and 182). Analytical accuracy of the TA and TC concentrations is ±3 µmol.kg-1. Additional parameters of the carbonate system were calculated with CO2SYS.m v3.1.1 (Feb 2021: https://github.com/jonathansharp/CO2-System-Extd) using measured TA-TC data, in-situ seawater salinity and temperature measured at each seawater sampling, and local phosphate and silicate concentrations as inputs.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Carbon, inorganic, total; Carbonate chemistry; Carbonate ion; Carbon dioxide; Carbon dioxide, partial pressure; Comment; Depth, bottom/max; Depth, top/min; DEPTH, water; Determined potentiometrically (Edmond 1970); DOLPHIN-CARBOY; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; Fugacity of carbon dioxide in seawater; Hydrogen ion concentration; Hydroxide ion; OA000-I01-S02; OA000-I01-S03; OA000-I02-S03; OA000-I04-S01; OA000-I04-S04; OA000-I05-S02; OA000-I06-S02; OA000-I07-S01; OA000-I07-S02; OA000-I07-S03; OA000-I07-S04; OA000-I08-S01; OA000-I08-S02; OA000-I08-S03; OA000-I09-S01; OA000-I09-S02; OA000-I09-S03; OA000-I10-S01; OA000-I10-S02; OA000-I10-S03; OA000-I10-S05; OA000-I11-S01; OA000-I12-S01; OA000-I12-S02; OA000-I12-S03; OA000-I13-S01; OA000-I13-S02; OA000-I13-S03; OA000-I14-S01; OA000-I14-S02; OA000-I14-S03; OA000-I15-S01; OA000-I15-S02; OA000-I15-S03; OA000-I16-S01; OA000-I16-S02; OA000-I16-S03; OA000-I17-S01; OA000-I17-S02; OA000-I17-S03; OA000-I18-S01; OA000-I18-S02; OA000-I18-S03; OA000-I19-S01; OA000-I19-S02; OA000-I19-S03; OA000-I19-S04; OA000-I20-S01; OA000-I20-S02; OA000-I20-S03; OA000-I21-S01; OA000-I21-S02; OA000-I21-S03; OA000-I22-S01; OA000-I22-S02; OA000-I22-S03; OA000-I23-S01; OA000-I23-S02; OA000-I23-S03; OA000-I23-S14; OA000-I24-S01; OA000-I24-S02; OA000-I24-S03; OA000-I25-S01; OA000-I25-S02; OA000-I25-S03; OA000-I25-S04; OA000-I25-S05; OA000-I26-S01; OA000-I26-S02; OA000-I26-S03; OA000-I27-S01; OA000-I27-S02; OA000-I28-S01; OA000-I28-S02; OA000-I28-S03; OA000-I29-S01; OA000-I29-S02; OA000-I29-S03; OA000-I30-S01; OA000-I30-S02; OA000-I30-S03; OA000-I31-S01; OA000-I31-S02; OA000-I31-S03; OA000-I31-S04; OA000-I32-S01; OA000-I32-S02; OA000-I32-S03; OA000-I32-S04; OA000-TS5-S11; OA000-TS5-S12; OA000-TS5-S21; OA000-TS5-S22; OA000-TS5-S31; OA000-TS5-S51; OA003-I00-S00; OA008-I00-S00; OA014-I00-S00; OA020-I00-S00; OA027-I00-S00; OA028-I00-S00; OA031-I00-S00; OA036-I00-S00; OA042-I04-S00; OA044-I04-S00; OA048-I05-S00; OA050-I05-S00; OA054-I06-S00; OA058-I00-S00; OA060-I07-S00; OA072-I11-S00; OA080-I13-S00; OA090-I14-S00; OA092-I15-S00; OA094-I00-S00; OA096-I00-S00; OA100-I00-S00; OA106-I00-S00; OA115-I00-S00; OA122-I00-S00; OA140-I19-S00; OA154-I00-S00; OA157-I23-S00; OA159-I23-S00; OA167-I26-S00; OA169-I00-S00; OA173-I00-S00; OA179-I00-S00; OA185-I00-S00; OA190-I29-S00; OA191-I29-S00; OA197-I00-S00; OA205-I00-S00; OA210-I00-S00; OA213-I00-S00; OA218-I00-S00; OA224-I00-S00; OA230-I32-S00; OA233-I00-S00; OA234-I00-S00; OA238-I00-S00; OA239-I00-S00; OA243-I00-S00; OA245-I00-S00; Pacific; Pacific Ocean; pH; Quality assurance; Sample code/label; Sample comment; Sample ID; SCUBA-CORER; SCUBA-PUMP; surface seawater; SV Tara; TARA_20160531T1315Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160607T1623Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160614T1233Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160621T1258Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160706T1359Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160712T1528Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160718T1408Z_D_C-CSW-C010_SCUBA-PUMP; TARA_20160723T1328Z_D_C-COL_SCUBA-CORER; TARA_20160723T1521Z_D_S-SRF_ZODIAC-PUMP; TARA_20160725T1541Z_D_S-SRF_ZODIAC-PUMP; TARA_20160818T1624Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160824T1457Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20160831T0157Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20160903T1525Z_D_C-COL_SCUBA-CORER; TARA_20160903T2124Z_D_S-SRF_ZODIAC-PUMP; TARA_20160907T1436Z_D_C-COL_SCUBA-CORER; TARA_20160908T0406Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20160912T1456Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20160914T2212Z_D_S-SRF_ZODIAC-PUMP; TARA_20160917T2135Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20160921T0519Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20160923T1734Z_D_C-COL_SCUBA-CORER; TARA_20161001T1627Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20161106T1906Z_D_C-CSW-C010_SCUBA-PUMP; TARA_20161107T0110Z_D_S-SRF_ZODIAC-PUMP; TARA_20161107T2012Z_D_S-SRF_ZODIAC-PUMP; TARA_20161108T0232Z_D_C-COL_SCUBA-CORER; TARA_20161108T1925Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161108T1945Z_D_S-SRF_ZODIAC-PUMP; TARA_20161109T0226Z_D_C-COL_SCUBA-CORER; TARA_20161110T0116Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20161114T0030Z_D_S-SRF_ZODIAC-PUMP; TARA_20161114T0050Z_D_C-COL_SCUBA-CORER; TARA_20161115T1850Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161116T0006Z_D_S-SRF_ZODIAC-PUMP; TARA_20161116T1630Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161117T0042Z_D_S-SRF_ZODIAC-PUMP; TARA_20161122T0313Z_D_C-COL_SCUBA-CORER; TARA_20161122T2010Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161123T0130Z_D_S-SRF_ZODIAC-PUMP; TARA_20161123T1932Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161124T0121Z_D_S-SRF_ZODIAC-PUMP; TARA_20161124T0200Z_D_C-COL_SCUBA-CORER; TARA_20161124T1955Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161125T0234Z_D_S-SRF_ZODIAC-PUMP; TARA_20161129T1931Z_D_C-COL_SCUBA-CORER; TARA_20161130T1907Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161130T2311Z_D_S-SRF_ZODIAC-PUMP; TARA_20161201T1843Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161201T2313Z_D_S-SRF_ZODIAC-PUMP; TARA_20161202T1858Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161203T0000Z_D_S-SRF_ZODIAC-PUMP; TARA_20161204T1621Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20161218T0300Z_D_C-COL_SCUBA-CORER; TARA_20161230T2017Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20161231T0209Z_D_S-SRF_ZODIAC-PUMP; TARA_20161231T2059Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170101T0204Z_D_S-SRF_ZODIAC-PUMP; TARA_20170101T1947Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170102T0300Z_D_S-SRF_ZODIAC-PUMP; TARA_20170106T0855Z_N_I-SRF_DOLPHIN-CARBOY; TARA_20170107T2127Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170108T0158Z_D_S-SRF_ZODIAC-PUMP; TARA_20170108T2224Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170109T0210Z_D_S-SRF_ZODIAC-PUMP; TARA_20170109T1929Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170109T2200Z_D_C-COL_SCUBA-CORER; TARA_20170110T0200Z_D_S-SRF_ZODIAC-PUMP; TARA_20170118T2148Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20170121T0000Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170121T0142Z_D_S-SRF_ZODIAC-PUMP; TARA_20170121T2110Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170122T0000Z_D_S-SRF_ZODIAC-PUMP; TARA_20170122T0003Z_D_C-COL_SCUBA-CORER; TARA_20170122T2306Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170123T0132Z_D_S-SRF_ZODIAC-PUMP; TARA_20170126T2109Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20170128T2158Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170129T0015Z_D_S-SRF_ZODIAC-PUMP; TARA_20170129T0045Z_D_C-COL_SCUBA-CORER; TARA_20170129T2209Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170130T0036Z_D_S-SRF_ZODIAC-PUMP; TARA_20170130T2216Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170131T0052Z_D_S-SRF_ZODIAC-PUMP; TARA_20170205T1106Z_N_O-SRF_DOLPHIN-CARBOY; TARA_20170208T2319Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170209T0209Z_D_S-SRF_ZODIAC-PUMP; TARA_20170209T2320Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170210T0210Z_D_C-COL_SCUBA-CORER; TARA_20170210T0235Z_D_S-SRF_ZODIAC-PUMP; TARA_20170210T2330Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170211T0130Z_D_S-SRF_ZODIAC-PUMP; TARA_20170215T2242Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170328T0735Z_D_S-SRF_ZODIAC-PUMP; TARA_20170329T0753Z_D_S-SRF_ZODIAC-PUMP; TARA_20170402T0559Z_D_S-SRF_ZODIAC-PUMP; TARA_20170403T0610Z_D_S-SRF_ZODIAC-PUMP; TARA_20170406T0610Z_D_S-SRF_ZODIAC-PUMP; TARA_20170412T0103Z_D_S-SRF_ZODIAC-PUMP; TARA_20170413T0000Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170413T0225Z_D_S-SRF_ZODIAC-PUMP; TARA_20170414T0130Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170414T0634Z_D_S-SRF_ZODIAC-PUMP; TARA_20170415T0035Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170415T0558Z_D_S-SRF_ZODIAC-PUMP; TARA_20170502T2350Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170508T2312Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170517T2237Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170524T2111Z_D_O-SRF_DOLPHIN-CARBOY; TARA_20170602T0210Z_D_S-SRF_ZODIAC-PUMP; TARA_20170602T2000Z_D_C-COL_SCUBA-CORER; TARA_20170602T2003Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170604T2333Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170605T0252Z_D_S-SRF_ZODIAC-PUMP; TARA_20170606T0040Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170606T0300Z_D_S-SRF_ZODIAC-PUMP; TARA_20170828T2214Z_D_I-SRF_DOLPHIN-CARBOY; TARA_20170830T0444Z_D_C-COL_SCUBA-CORER; TARA_20170830T2214Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170831T0424Z_D_S-SRF_ZODIAC-PUMP; TARA_20170901T2105Z_D_C-CSW-C001_SCUBA-PUMP; TARA_20170901T2255Z_D_S-
    Type: Dataset
    Format: text/tab-separated-values, 11038 data points
    Location Call Number Expected Availability
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  • 45
    facet.materialart.
    Unknown
    Meteorological data from RRS Discovery cruise DY086 at site P3 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Meteorological data were collected across three visits to site P3 during COMICS cruise DY086 aboard the RRS Discovery in November and December, 2017. Measurements included: air pressure, temperature and humidity; solar and photosynthetically active radiation at both Port and Starboard sides. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council. BODC advised that the ship's anemometer shows inconsistencies and so data from the instrument were not included.
    Keywords: 74EQ20171115; 74EQ20171115-track; ALTITUDE; Barometer, Vaisala, PTB 210; biological carbon pump; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; CT; DATE/TIME; Discovery (2013); DY086; fluxes; Humidity, relative; LATITUDE; LONGITUDE; marine biogeochemistry; PAR sensor, Two Skye Instruments, SKE510; Potential incoming solar radiation; Pressure, atmospheric; Pyranometer, Kipp & Zonen, CM6B; Radiation, photosynthetically active; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, air; Temperature and humidity sensor, Vaisala, HMP; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 155589 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 46
    facet.materialart.
    Unknown
    Discrete particulate organic carbon (POC) concentration and flux data from three visits to site P3 in 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Discrete measurements of particulate organic carbon (POC) concentration and flux were made on the RRS Discovery during COMICS cruise DY086 at site P3 in the South Atlantic from November to December, 2017 (Giering et al. 2023). Data is from a variety of equipment including marine snow catchers, neutrally-buoyant sediment traps (PELAGRA) and a stand-alone pump system. Marine snow catchers settled on-deck for 2 hours. Slow sinking particles were collected from the base and fast sinking particles were collected from the tray. These data were used along with bottle POC data to calibrate glider backscatter data from the GOCART project.
    Keywords: 74EQ20171115; biological carbon pump; Carbon, organic, particulate; Carbon, organic, particulate, flux; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; DEPTH, water; Discovery (2013); DY086; DY086_MSC006; DY086_MSC007; DY086_MSC010; DY086_MSC015; DY086_MSC016; DY086_MSC019; DY086_MSC020; DY086_MSC022; DY086_MSC027; DY086_MSC028; DY086_MSC029; DY086_MSC034; DY086_MSC035; DY086_MSC036; DY086_MSC037; DY086_MSC038; DY086_MSC039; DY086_MSC040; DY086_MSC061; DY086_MSC062; DY086_MSC063; DY086_MSC067; DY086_MSC068; DY086_MSC069; DY086_MSC071; DY086_MSC072; DY086_MSC076; DY086_MSC077; DY086_MSC078; DY086_MSC079; DY086_MSC081; DY086_MSC082; DY086_MSC083; DY086_MSC084; DY086_MSC093; DY086_MSC094; DY086_MSC099; DY086_MSC100; DY086_MSC101; DY086_MSC103; DY086_MSC104; DY086_MSC105; DY086_MSC106; DY086_MSC111; DY086_MSC112; DY086_MSC113; DY086_MSC114; DY086_MSC125; DY086_MSC126; DY086_MSC127; DY086_MSC128; DY086_Pelagra006; DY086_Pelagra007; DY086_Pelagra008; DY086_Pelagra009; DY086_Pelagra010; DY086_Pelagra011; DY086_Pelagra012; DY086_Pelagra013; DY086_Pelagra014; DY086_Pelagra015; DY086_Pelagra016; DY086_Pelagra017; DY086_Pelagra018; DY086_Pelagra019; DY086_Pelagra020; DY086_Pelagra021; DY086_Pelagra022; DY086_Pelagra023; DY086_Pelagra024; DY086_Pelagra025; DY086_Pelagra026; DY086_Pelagra027; DY086_Pelagra028; DY086_Pelagra029; DY086_Pelagra030; DY086_Pelagra031; DY086_Pelagra032; DY086_Pelagra033; DY086_Pelagra034; DY086_Pelagra035; DY086_Pelagra036; DY086_Pelagra037; DY086_Pelagra038; DY086_SAPS001; DY086_SAPS002; DY086_SAPS003; DY086_SAPS004; DY086_SAPS005; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Marine snow catcher; MSC; PELAGRA; SAPS; Site; Stand-alone pumps; SUMMER; Sustainable Management of Mesopelagic Resources; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 366 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 47
    facet.materialart.
    Unknown
    Flow cytometry dataset from CTD casts showing the abundance of microorganisms (smaller than 20 µm) during the Arctic MOSAiC expedition (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset gives an overview of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from ship-based and on-ice CTD rosettes during leg 1, 2, 3, 4 and 5 (November 2019 – September 2020). Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., to be submitted to Elementa). We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021). Flow cytometry (FCM) is a fast, high-throughput method to enumerate the abundance of microorganism (smaller than 20 µm). FCM uses the hydrodynamic focusing of a laminar flow to separate and line up microscopic particles. When particles pass a laser beam, the generated light scattering can be used to estimate their cell size, obtain information about cell granularity and surface characteristics and determine fluorescence from inherent pigments or applied stains, such as DNA binding ones. Photosynthetic microorganisms have auto-fluorescent pigments, such as chlorophylls which in combination with the light scattering properties (cell size) or surface properties, can be used to group them into clusters of similar or identical organism types. Heterotrophic microorganisms, including archaea, bacteria and heterotrophic nanoflagellates, and virus do not have fluorescent pigments and require staining, for example using SYBR Green to stain Nucleic Acids (DNA/RNA) in order to distinguish these cells from other organic and inorganic particles in the sample. Samples for flow cytometric analysis were taken in triplicates or quadruplicates of 1.8 mL of sample water and fixed with 36 μL 25 % glutaraldehyde (0.5 % final concentration) at 4 °C in the dark for approximately 2 hours, then flash frozen in liquid nitrogen and stored at -80 °C until analysis. The abundance of pico- and nano-sized phytoplankton and heterotrophic nanoflagellates (HNF) were determined using an Attune® NxT, Acoustic Focusing Cytometer (Invitrogen by Thermo Fisher Scientific) with a 20 mW 488 nm (blue) laser. Autotrophic pico-and nano-sized plankton were counted directly after thawing and the various groups discriminated based on their red fluorescence (BL3) vs. orange fluorescence (BL2), red fluorescence (BL3) vs. side scatter (SSC) and orange fluorescence (BL2) vs. side scatter (SSC). For HNF analysis, the samples were stained with SYBR Green I for 2 h in the dark and 1-2 mL were subsequently measured at a flow rate of 500 µl min-1 following the protocol of Zubkov et al. 2007. The abundance of virus and bacteria was determined using a FACS Calibur (Becton Dickinson) flow cytometer with a 15 mW 480 nm (blue) laser. Prior analysis of virus and bacteria, samples were first thawed, diluted x10 and x100 with 0.2 μm filtered TE buffer (Tris 10 mM, EDTA 1 mM, pH 8), stained with a green fluorescent nucleic acid dye (SYBR Green I ; Molecular Probes, Eugene, Oregon, USA) and then incubated for 10 min at 80°C in a water bath (Marie et al. 1999). Stained samples were counted at a flow rate of around 60 µL min-1 and different groups discriminated on a biparametric plot of green florescence (BL1) vs. side scatter (SSC). This allowed to distinguish virus particles of different sizes, and different bacterial groups including low nuclear acid (LNA) and high nuclear acid (HNA) bacteria. Names of size groups of photosynthetic and heterotrophic organisms are in accordance to "Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual (Version 1.1)" (Neeley et al., 2023). A short summary is listed here: RedPico = picophytoplankton (1-2 µm); RedNano = Nanophytoplankton (2-20µm), which includes subgroups RedNano_small (2-5 µm), RedNano_large (5-20 µm); OraPico = Nanophytoplankton with more orange fluorescence; OraNano = Cryptophytes; OraPicoProk = Synechococcus; HetNano = heterotrophic nanoflagellates; HetProk = bacteria (and when present archaea); HetLNA = low nucleic acid (LNA) containing bacteria; HetHNA = high nucleic acid (HNA) containing bacteria with the subgroups HetProk_medium = HNA-bacteria subgroup with less fluorescence signal, HetProk_large = HNA-bacteria subgroup with more fluorescence signal and HetProk_verylarge = HNA-bacteria subgroup with very strong fluorescence signal; Virus = virus-like particles, including size refined subgroups: LFV (low fluorescence virus or small virus); MFV (medium fluorescence virus or medium virus); HFV (high fluorescence virus or large virus) according to Larsen et al., 2008. Exemplary plots showing the gating strategies that were followed can be found in "Interoperable vocabulary for marine microbial flow cytometry" (Thyssen et al., 2022).
    Keywords: Acoustic focusing cytometer, Thermo Fisher, Attune NxT [20 mW 488 nm (blue) laser]; Activity description; Arctic; Arctic Ocean; Cast number; Collector; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, water; Device type; Event label; Feature; flow cytometry; Flow cytometry system, Becton Dickinson, FACSCalibur; HAVOC; Heterotrophic nanophytoplankton; Heterotrophic prokaryotes; Heterotrophic prokaryotes, large; Heterotrophic prokaryotes, medium; Heterotrophic prokaryotes, very large; Heterotrophic prokaryotes with relatively high nucleic acid; Heterotrophic prokaryotes with relatively low nucleic acid; LATITUDE; Leg Number; LONGITUDE; microbial abundance; MOSAiC; MOSAiC_ECO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Orange and red fluorescing nanophytoplankton; Orange and red fluorescing picophytoplankton; Orange fluorescing prokaryote picophytoplankton; Polarstern; PS122/1; PS122/1_10-44; PS122/1_7-49; PS122/1_8-46; PS122/1_9-50; PS122/2; PS122/2_17-41; PS122/2_18-34; PS122/2_19-56; PS122/2_20-46; PS122/2_21-65; PS122/2_22-47; PS122/2_23-63; PS122/2_25-54; PS122/3; PS122/3_30-41; PS122/3_30-53; PS122/3_31-39; PS122/3_33-69; PS122/3_34-77; PS122/3_35-63; PS122/3_36-59; PS122/3_36-81; PS122/3_37-45; PS122/3_37-88; PS122/3_38-5; PS122/3_38-54; PS122/3_38-69; PS122/3_39-51; PS122/3_40-36; PS122/4; PS122/4_44-184; PS122/4_44-67; PS122/4_45-100; PS122/4_45-3; PS122/4_45-31; PS122/4_45-75; PS122/4_45-79; PS122/4_45-82; PS122/4_45-85; PS122/4_45-96; PS122/4_46-60; PS122/4_47-108; PS122/4_47-60; PS122/4_48-15; PS122/4_48-62; PS122/4_49-14; PS122/4_49-2; PS122/4_49-25; PS122/5; PS122/5_59-274; PS122/5_59-306; PS122/5_59-357; PS122/5_59-363; PS122/5_59-62; PS122/5_59-72; PS122/5_60-69; PS122/5_61-161; PS122/5_62-38; PS122/5_62-91; PS122/5_63-53; Red only fluorescing nanophytoplankton; Red only fluorescing nanophytoplankton, large; Red only fluorescing nanophytoplankton, small; Red only fluorescing picophytoplankton; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sample code/label; Virus, high DNA fluorescence; Virus, low DNA fluorescence; Virus, medium DNA fluorescence; Virus-like particles; Water Column Data
    Type: Dataset
    Format: text/tab-separated-values, 13768 data points
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  • 48
    facet.materialart.
    Unknown
    Flow cytometry dataset from first year sea ice (FYI) core bottom 5 cm sections showing the abundance of microorganisms (〈 20 µm) during leg 2, 3 (February, March and April 2020) of the Arctic MOSAiC expedition (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: This dataset is a subset of the abundance of microorganisms (smaller than 20 µm) enumerated using flow cytometry (FCM) during the Multidisciplinary drifting observatory for the study of Arctic Climate (MOSAiC) sampled from first year sea ice (FYI) core bottom 5 cm sections from leg 2 and 3 (February, March, April 2020). For sea ice derived FCM abundance data, subsamples of 15 mL were taken from pooled ice core sections that were melted in filtered sea water and correspondingly a correction factor applied (details provided in the data-file), to enumerate the abundance of microorganisms per mL of melted sea ice. Additional expedition and sampling details can be found in the ECO-overview paper (Fong et al., to be submitted to Elementa). We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021). Flow cytometry (FCM) is a fast, high-throughput method to enumerate the abundance of microorganism (smaller than 20 µm). FCM uses the hydrodynamic focusing of a laminar flow to separate and line up microscopic particles. When particles pass a laser beam, the generated light scattering can be used to estimate their cell size, obtain information about cell granularity and surface characteristics and determine fluorescence from inherent pigments or applied stains, such as DNA binding ones. Photosynthetic microorganisms have auto-fluorescent pigments, such as chlorophylls which in combination with the light scattering properties (cell size) or surface properties, can be used to group them into clusters of similar or identical organism types. Heterotrophic microorganisms, including archaea, bacteria and heterotrophic nanoflagellates, and virus do not have fluorescent pigments and require staining, for example using SYBR Green to stain Nucleic Acids (DNA) in order to distinguish these cells from other organic and inorganic particles in the sample. Samples for flow cytometric analysis were taken in triplicates or quadruplicates of 1.8 mL of sample water and fixed with 36 μL 25 % glutaraldehyde (0.5 % final concentration) at 4 °C in the dark for approximately 2 hours, then flash frozen in liquid nitrogen and stored at -80 °C until analysis. The abundance of pico- and nano-sized phytoplankton and heterotrophic nanoflagellates (HNF) were determined using an Attune® NxT, Acoustic Focusing Cytometer (Invitrogen by Thermo Fisher Scientific) with a 20 mW 488 nm (blue) laser. Autotrophic pico-and nano-sized plankton were counted directly after thawing and the various groups discriminated based on their red fluorescence (BL3) vs. orange fluorescence (BL2), red fluorescence (BL3) vs. side scatter (SSC) and orange fluorescence (BL2) vs. side scatter (SSC). For HNF analysis, the samples were stained with SYBR Green I for 2 h in the dark and 1-2 mL were subsequently measured at a flow rate of 500 µl min-1 following the protocol of Zubkov et al. 2007. Following the Zubkov protocol, HNF are enumerated using a fixed gate and in case of sea ice samples, there is an overlap between HNA-bacteria with very high fluorescence and HNF, which is not possible to disentangle with current methodology. The abundance of virus and bacteria was determined using a FACS Calibur (Becton Dickinson) flow cytometer with a 15 mW 480 nm (blue) laser. Prior analysis of virus and bacteria, samples were first thawed, diluted x10 and x100 with 0.2 μm filtered TE buffer (Tris 10 mM, EDTA 1 mM, pH 8), stained with a green fluorescent nucleic acid dye (SYBR Green I ; Molecular Probes, Eugene, Oregon, USA) and then incubated for 10 min at 80°C in a water bath (Marie et al. 1999). Stained samples were counted at a flow rate of around 60 µL min-1 and different groups discriminated on a biparametric plot of green florescence (BL1) vs. side scatter (SSC). This allowed to distinguish virus particles of different sizes, and different bacterial groups including low nuclear acid (LNA) and high nuclear acid (HNA) bacteria. Names of size groups of photosynthetic and heterotrophic organisms are in accordance to "Standards and Best Practices For Reporting Flow Cytometry Observations: a technical manual (Version 1.1)" (Neeley et al., 2023). A short summary is listed here: RedPico = picophytoplankton (1-2 µm); RedNano = Nanophytoplankton (2-20µm), which includes subgroups RedNano_small (2-5 µm), RedNano_large (5-20 µm); OraPico = Nanophytoplankton with more orange fluorescence; OraNano = Cryptophytes; OraPicoProk = Synechococcus; HetNano = heterotrophic nanoflagellates; HetProk = bacteria (and when present archaea); HetLNA = low nucleic acid (LNA) containing bacteria; HetHNA = high nucleic acid (HNA) containing bacteria with the subgroups HetProk_medium = HNA-bacteria subgroup with less fluorescence signal, HetProk_large = HNA-bacteria subgroup with more fluorescence signal and HetProk_verylarge = HNA-bacteria subgroup with very strong fluorescence signal; Virus = virus-like particles, including size refined subgroups: LFV (low fluorescence virus or small virus); MFV (medium fluorescence virus or medium virus); HFV (high fluorescence virus or large virus) according to Larsen et al., 2008. Exemplary plots showing the gating strategies that were followed can be found in "Interoperable vocabulary for marine microbial flow cytometry" (Thyssen et al., 2022).
    Keywords: Acoustic focusing cytometer, Thermo Fisher, Attune NxT [20 mW 488 nm (blue) laser]; Activity description; Arctic Ocean; Core length; DATE/TIME; Depth, bathymetric; DEPTH, ice/snow; Device type; Event label; Factor; Feature; flow cytometry; Flow cytometry system, Becton Dickinson, FACSCalibur; HAVOC; Heterotrophic nanophytoplankton; Heterotrophic prokaryotes; Heterotrophic prokaryotes, large; Heterotrophic prokaryotes, medium; Heterotrophic prokaryotes, very large; Heterotrophic prokaryotes with relatively high nucleic acid; Heterotrophic prokaryotes with relatively low nucleic acid; IC; Ice core; Ice corer; Identification; LATITUDE; Leg Number; LONGITUDE; microbial abundance; MOSAiC; MOSAiC_ECO; MOSAiC20192020; MOSAiC expedition; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Orange and red fluorescing nanophytoplankton; Orange and red fluorescing picophytoplankton; Orange fluorescing prokaryote picophytoplankton; Polarstern; PS122/2; PS122/2_23-3; PS122/2_24-8; PS122/3; PS122/3_32-63; PS122/3_34-4; PS122/3_35-11; PS122/3_36-21; PS122/3_38-24; Red only fluorescing nanophytoplankton; Red only fluorescing nanophytoplankton, large; Red only fluorescing nanophytoplankton, small; Red only fluorescing picophytoplankton; Ridges - Safe HAVens for ice-associated Flora and Fauna in a Seasonally ice-covered Arctic OCean; Sample code/label; Sample volume; Virus, high DNA fluorescence; Virus, low DNA fluorescence; Virus, medium DNA fluorescence; Virus-like particles; Volume
    Type: Dataset
    Format: text/tab-separated-values, 226 data points
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  • 49
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    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_127 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [water layer with no specific feature]; [day] [water layer with no specific feature] [near; [night] [water layer with no specific feature]; [RVSS]; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alloxanthin; Bacteriochlorophyll a; Basis of event; Bottle number; Campaign of event; Carotene; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll b + divinyl chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophyllide a; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Diadinoxanthin; Diatoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; File name; Fondation Tara Expeditions; FondTara; Fucoxanthin; High Performance Liquid Chromatography (HPLC); Latitude of event; Longitude of event; Lutein; Method/Device of event; Neoxanthin; Nitrate and Nitrite; Nitrite; Optional event label; Papeete to Honolulu, Stations: TARA_126-130; Peridinin; Phaeophorbide a; Phaeophytin a; Phosphate; Prasinoxanthin; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20110826Z; TARA_20110830T0333Z_999_EVENT_CAST; TARA_20110831T0812Z_127_EVENT_CAST; TARA_20110831T1752Z_127_EVENT_CAST; TARA_20110831T2100Z_127_EVENT_CAST; TARA_20110901T1743Z_127_EVENT_CAST; TARA_20110901T1858Z_127_EVENT_CAST; TARA_20110902T0233Z_127_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 975 data points
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  • 50
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    Ny Ålesund Mesocosm Experiment 2015, Norway (2018)
    PANGAEA
    In:  University of Bergen
    Details
    Publication Date: 2024-04-27
    Keywords: Abundance; Additives; Ammonium; Bacteria; Bacteria, heterotrophic; Bacteria, production as carbon; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, total; Chlorophyll a, fractionated; Chlorophyll a, total; Ciliates; Copepoda, adult; DATE/TIME; MESO; Mesocosm experiment; Mesocosm label; Nanoflagellates, heterotrophic; Ny_Ålesund_Mesocosm_2015; Ny-Ålesund, Spitsbergen; Phosphorus, reactive soluble; Silicate; Time, incubation
    Type: Dataset
    Format: text/tab-separated-values, 2048 data points
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  • 51
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    Clumped isotope data from hole BT1B, Oman Drilling Project (2019)
    PANGAEA
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    Publication Date: 2024-04-27
    Description: Carbonate separates from listvenite core BT1B, Oman Drilling Project, were analyzed for their stable oxygen and carbon isotope ratios and clumped isotope distribution to constrain the conditions of carbonate mineralization. This data set summarizes all individual measurement results of the reference materials used and of the unknown samples.
    Keywords: Analytical method; CDRILL; Clumped isotope thermometry; Core drilling; Initial intensity of mass 44; Isotope ratio mass spectrometry; Listvenite; Mass; OmanDP; OmanDP_BT1B; Oman Drilling Project; Run; Run Date/Time; Sample ID; Sample type; Ultramafic rock carbonation; Wadi Mansah, Samail, Oman; Δ47; Δ48; δ13C, carbonate; δ18O, carbonate; δ18O, gas; δ47; δ48
    Type: Dataset
    Format: text/tab-separated-values, 5490 data points
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  • 52
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    Average magnesite composition from selected serpentinite and listvenite samples from hole BT1B, Oman Drilling Project (2020)
    PANGAEA
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    Publication Date: 2024-04-27
    Description: The presented carbonate electron microprobe data were derived from representative carbonate-bearing serpentinite and listvenite samples in Hole BT1B, OmanDP. The analyzed carbonate grains are chemically zoned and the data represents averages for compositionally and texturally comparable zones, e.g. matrix magnesite in 44-03 is always the core as the rim is dolomite. Electron microprobe analysis was conducted using the JEOL 8530F FE electron microprobe at Centre for Microscopy, Characterization and Analysis (CMCA), The University of Western Australia, using an acceleration voltage of 15 keV and a 5 µm defocused beam. The general analytical procedure and application of reference materials follow the method described in Beinlich et al. (2018; doi:10.1038/s41467-018-03039-9).
    Keywords: Barium, particulate; Calcium; Calcium, standard deviation; Calcium oxide; Calcium oxide, standard deviation; Carbon; Carbon, standard deviation; Carbon dioxide; Carbon dioxide, standard deviation; Cations, sum; CDRILL; Cerium, particulate; Core drilling; Core section label; DEPTH, sediment/rock; Description; Elements, total; Elements, total, standard deviation; Gadolinium, particulate; Gadolinium, standard deviation; Interval Cored; Iron, standard deviation; Iron 2+ and 3+; Iron oxide, FeO; Iron oxide, FeO, standard deviation; Magnesium; Magnesium, standard deviation; Magnesium oxide; Magnesium oxide, standard deviation; Manganese; Manganese, standard deviation; Manganese oxide; Manganese oxide, standard deviation; Normalization based on 3 oxygen; OmanDP; OmanDP_BT1B; Oman Drilling Project; Praseodymium, particulate; Praseodymium, standard deviation; Samarium, particulate; Samarium, standard deviation; Sample amount; Semail Ophiolite; Strontium, particulate; Strontium, standard deviation; Ultramafic rock carbonation; Wadi Mansah, Samail, Oman; Ytterbium, particulate; Ytterbium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 372 data points
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  • 53
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    Links to master tracks in different resolutions of SONNE cruise SO270, Hong Kong - Port Louis, 2019-09-05 - 2019-10-23 (2020)
    PANGAEA
    In:  University of Hamburg, Germany
    Details
    Publication Date: 2024-04-27
    Description: Raw data acquired by position sensors on board RV SONNE during expedition SO270 were processed to receive a validated master track which can be used as reference of further expedition data.
    Keywords: Calculated; Course; CT; DAM_Underway; DAM Underway Research Data; DATE/TIME; LATITUDE; LONGITUDE; MASCARA; SO270; SO270-track; Sonne_2; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 14110 data points
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  • 54
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    Total sedimentary organic carbon and nitrogen analyses from marine sediment core AMD14-204_CASQ (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Total sedimentary organic carbon contents (TOC; %), total nitrogen (TN; %), ratio TOC to TN, carbon and nitrogen isotopic compositions (‰) from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Element analyser CHN, LECO CS 125; Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Nitrogen, total; Thermo Scientific Flash 2000-Delta V Plus IRMS; δ13C, organic carbon; δ15N, bulk sediment
    Type: Dataset
    Format: text/tab-separated-values, 409 data points
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  • 55
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    Under-ice fauna biomass, carbon demand, and secondary production under Arctic pack ice north of Svalbard during the Polarstern expedition PS92 in spring 2015 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: We investigated the biomass, carbon demand, and secondary production of under-ice fauna (here metazoans 〉300 μm) at eight stations in the Arctic Ocean, north of Svalbard. Sampling was conducted during spring in 2015 with the Surface and Under Ice Trawl (SUIT). The biomass (µgCm-²) for under-ice fauna taxa was calculated by multiplying abundances (ind. m-²) of each taxon obtained from Ehrlich et al. (2020) by the carbon content per individual of this taxon. The mass-specific ingestion rate of each taxon was multiplied by the total biomass of that taxon at every station to determine the carbon demand per day (µgC/m²/day). The secondary production of under-ice fauna was calculated by using a P/B ratio from Forest et al. (2014) for large Arctic mesozooplankton species.
    Keywords: Apherusa glacialis, biomass as carbon; Apherusa glacialis, carbon demand; Apherusa glacialis, production as carbon; Appendicularia, biomass as carbon; Appendicularia, carbon demand; Appendicularia, production as carbon; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Biomass; Calanus finmarchicus, biomass as carbon; Calanus finmarchicus, carbon demand; Calanus finmarchicus, production as carbon; Calanus glacialis, biomass as carbon; Calanus glacialis, carbon demand; Calanus glacialis, production as carbon; Calanus hyperboreus, biomass as carbon; Calanus hyperboreus, carbon demand; Calanus hyperboreus, production as carbon; Calculated; Campaign; Carbon demand; Cast number; Chaetognatha, biomass as carbon; Chaetognatha, carbon demand; Chaetognatha, production as carbon; Cirripedia, larvae, biomass as carbon; Cirripedia, larvae, carbon demand; Cirripedia, larvae, production as carbon; Clausocalanidae, biomass as carbon; Clausocalanidae, carbon demand; Clausocalanidae, production as carbon; Clione limacina, biomass as carbon; Clione limacina, carbon demand; Clione limacina, production as carbon; DATE/TIME; Eukrohnia hamata, biomass as carbon; Eukrohnia hamata, carbon demand; Eukrohnia hamata, production as carbon; Event label; Gear; Hydrozoa, biomass as carbon; Hydrozoa, carbon demand; Hydrozoa, production as carbon; Isopoda, biomass as carbon; Isopoda, carbon demand; Isopoda, production as carbon; LATITUDE; Limacina helicina, biomass as carbon; Limacina helicina, carbon demand; Limacina helicina, production as carbon; Location; LONGITUDE; Metridia longa, biomass as carbon; Metridia longa, carbon demand; Metridia longa, production as carbon; Nauplii, biomass as carbon; Nauplii, carbon demand; Nauplii, production as carbon; Oithona sp., biomass as carbon; Oithona sp., carbon demand; Oithona sp., production as carbon; Onisimus glacialis, biomass as carbon; Onisimus glacialis, carbon demand; Onisimus glacialis, production as carbon; Osteichthyes, larvae, biomass as carbon; Osteichthyes, larvae, carbon demand; Osteichthyes, larvae, production as carbon; pack ice; Paraeuchaeta spp., biomass as carbon; Paraeuchaeta spp., carbon demand; Paraeuchaeta spp., production as carbon; Parasagitta elegans, biomass as carbon; Parasagitta elegans, carbon demand; Parasagitta elegans, production as carbon; Polarstern; Polychaeta, biomass as carbon; Polychaeta, carbon demand; Polychaeta, production as carbon; PS92; PS92/019-1; PS92/027-1; PS92/031-1; PS92/032-12; PS92/039-17; PS92/043-23; PS92/045-1; PS92/047-1; Secondary production; Station label; SUIT; Surface and under ice trawl; Svalbard; sympagic fauna; Themisto libellula, biomass as carbon; Themisto libellula, carbon demand; Themisto libellula, production as carbon; Themisto spp., biomass as carbon; Themisto spp., carbon demand; Themisto spp., production as carbon; Thysanoessa longicaudata, biomass as carbon; Thysanoessa longicaudata, carbon demand; Thysanoessa longicaudata, production as carbon; Tisbe spp., biomass as carbon; Tisbe spp., carbon demand; Tisbe spp., production as carbon; Trawling distance; Trochophora, larvae, biomass as carbon; Trochophora, larvae, carbon demand; Trochophora, larvae, production as carbon; under-ice fauna; Volume; Xenacoelomorpha, biomass as carbon; Xenacoelomorpha, carbon demand; Xenacoelomorpha, production as carbon; Zoaea, larvae, biomass as carbon; Zoaea, larvae, carbon demand; Zoaea, larvae, production as carbon; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 728 data points
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  • 56
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    Filtered EBSD data set of listvenites from Oman Drilling Project Hole BT1B (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The dataset contains electron backscattered diffraction (EBSD) filtered data acquired on samples collected on cores from Oman Drilling Project Hole BT1B (International Continental Drilling Project Expedition 5057‐4B). A suite of 7 samples in foliated listvenites was analyzed through 11 EBSD maps of variable area width at specific sites of interest. The scanning resolution varies from 0.5 µm to 3 µm. Raw pixel data was filtered with the Channel 5 analysis suite from HKL Technology (Oxford Instruments) and consists in noise reduction followed by a wild spikes extrapolation (level 6; in few cases level 5). Datafiles are provided as channel text files (CTF), which can be processed and viewed with Channel 5 or MTEX.
    Keywords: Binary Object; carbonated peridotite; CDRILL; Core drilling; DEPTH, sediment/rock; EBSD analysis; Listvenite; OmanDP; OmanDP_BT1B; Oman Drilling Project; Sample code/label; Sample ID; Wadi Mansah, Samail, Oman
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
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  • 57
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    Enzyme activity and histochemical biomarkers of mussels and fish caught at two shipwrecks at the Belgian coast (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Dumped warfare material like munitions, unexploded ordnances and sunken war ships carry a significant risk of chemical leakage, posing threats to marine wildlife. To assess the hazard potential of explosives on marine biota a multi-biomarker analysis was conducted using blue mussels (Mytilus edulis) and fish (Trisopterus luscus) exposed at munition containing war-wrecks in the Belgian part of the North Sea. Chosen biomarkers were lysosomal membrane stability (LMS), lipofuscin (LIPF), neutral lipids (NL), glycogen (GLY) and the enzyme activity of catalase (CAT), glutathione-S transferase (GST) and acetylcholinesterase (AChE). Samples were taken in October 2019 and July 2020 by divers.
    Keywords: Acetylcholinesterase activity, unit per protein mass; Belwind; Biomarker; Catalase activity, unit per protein mass; Condition index; DATE/TIME; DEPTH, water; DIVER; enzyme activity; Event label; explosive; Family; Field experiment; fish; Glutathione S-transferase activity, unit per protein mass; Glycogen, area; Gonadal stage; HMS Basilisk, H11; John Mahn; John Mahn, V1302; LATITUDE; Length; Lipids, neutral, area; Lipofuscin, area; Location; LONGITUDE; Lysosomal membranes stability; Microplate reader; Microscopic image analysis; munition; Mytilus edulis; North Sea; North Sea Wrecks; NSW; Sample number; Sampling by diver; Site; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); SS0720_A360; SS0720_A361; SS0720_A362; SS0720_A363; SS0720_Reference1; SS0720_Reference2; SS0720_Wreck; SS1019_BA; SS1019_JM; SS1019_Reference; Vorpostenboot 1302
    Type: Dataset
    Format: text/tab-separated-values, 2284 data points
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  • 58
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    Acoustic backscatter data from two visits to site P3 (P3A and P3B) during COMICS cruise DY086 in November to December, 2017 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Acoustic backscatter data were collected at five frequencies (18, 38, 70, 120 and 200 kHz) across two visits to site P3 (P3A, P3B), South Georgia, aboard the RRS Discovery during DY086. Acoustic backscatter was measured with a Simrad EK60. The data consistently shows no evidence of synchronised diel vertical migration (Cook et al. 2023).
    Keywords: 74EQ20171115; biological carbon pump; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; Date/Time of event 2; DEPTH, water; Discovery (2013); DY086; DY086_EK60_P3A; DY086_EK60_P3B; Echo backscatter; Echosounder, Simrad, EK60; Event label; fluxes; Frequency; Latitude of event; Longitude of event; marine biogeochemistry; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Time of day
    Type: Dataset
    Format: text/tab-separated-values, 5760 data points
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  • 59
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    CTD sensor and related bottle data analyses from RRS Discovery cruise DY086 at site P3 (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Physical, chemical and biogeochemical measurements derived from CTD-rosette deployments during three visits to site P3 (November to December, 2017) in the South Atlantic. Measurements were made during COMICS cruise DY086 on the RRS Discovery using a trace metal free Titanium Rosette (events 4, 7, 15, 19, 24, 26, 29) and a Stainless Steel Rosette (all other events). Physical parameters include temperature, salinity, density, photosynthetically active radiation and turbulence; chemical parameters include dissolved oxygen, dissolved oxygen saturation, nitrate, phosphate and silicate; biogeochemical parameters include turbidity, beam transmittance, beam attenuation, fluorescence, particulate organic carbon (POC), dissolved organic carbon (DOC), chlorophyll-a, net primary productivity (NPP), ambient leucine assimilation and bacterial cell count. To determine turbulence, a downward facing lowered acoustic doppler current profiler (LADCP, Teledyne Workhorse Monitor 300 kHz ADCP) was attached to the CTD frame. Shear and strain, which are obtained from velocity and density measurements, were used to estimate the dissipation rate of turbulent kinetic energy and the diapycnal eddy diffusivity from a fine-scale parameterisation. Estimates are calculated by parameterising internal wave-wave interactions and assuming that wave breaking modulates turbulent mixing. A detailed description of the method for calculating diffusivity from LADCP and CTD can be found in Kunze et al. (2006). Two datasets with different vertical resolutions were produced: one in which the shear is integrated from 150 to 300 m and the strain over 20-150 m, and one in which the shear is integrated from 70 to 200 m and the strain over 30-200 m. Nutrients (nitrate, phosphate, silicate) were determined via colourimetric analysis (see cruise report, Giering and Sanders, 2019), POC was determined as described in Giering et al. (2023), DOC and DOC flux were determined as described in Lovecchio et al. (2023), NPP was determined as described in Poulton et al. (2019), and ambient leucine assimilation and bacterial cell count were determined as described in Rayne et al. (2024). Bacterial abundance and leucine assimilation were made from bottle samples of six CTD casts of the stainless-steel rosette. Water was collected at six depths (6 m, deep-chlorophyll maximum, mixed layer depth + 10, 100, 250 and 500 m). Acid-cleaned HDPE carboys and tubing were used for sampling. Samples were then stored in the dark and at in-situ temperature prior to on-board laboratory sample preparation or analysis. Flow cytometry was used to measure bacterial abundance. Room temperature paraformaldehyde was used to fix 1.6 ml samples for 30 minutes. Then, using liquid nitrogen, the samples were flash frozen and stored at -80°C. Samples were then defrosted before being stained using SYBR Green I and run through the flow cytometer (BD FACSort™). The method of Hill et al. (2013) was applied to determine prokaryotic leucine assimilation using L-[4,5-³H] leucine which has a specific activity of 89.3 Ci/mmol­. In the mixed and upper layers of the water column, the protocol in Zubkov et al. (2007) was followed. Below the mixed layer, adaptions to the method included reducing the concentration of ³H-Leucine to 0.005, 0.01, 0.025, 0.04 and 0.05 nM; increasing experimental volumes to 30 ml; enhancing incubation times to 30, 60, 90 and 120 min. These adaptions were made to improve accuracy where lower rates of leucine assimilation were expected. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council.
    Keywords: 74EQ20171115; Angular scattering coefficient, 700 nm; Attenuation, optical beam transmission; Bacteria; Barometer, Paroscientific, Digiquartz TC; biological carbon pump; Calculated; Calculated according to UNESCO (1983); Calculation according to Kunze et al. (2006); Carbon, organic, dissolved; Carbon, organic, dissolved, flux; Carbon, organic, particulate; Chlorophyll a; Colorimetric analysis; COMICS; Conductivity sensor, SEA-BIRD SBE 4C; Controls over Ocean Mesopelagic Interior Carbon Storage; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Discovery (2013); Dissipation rate; Dissolved Oxygen Sensor, Sea-Bird, SBE 43 and SBE 43F; DY086; DY086_CTD002; DY086_CTD003; DY086_CTD004; DY086_CTD005; DY086_CTD006; DY086_CTD007; DY086_CTD008; DY086_CTD009; DY086_CTD010; DY086_CTD015; DY086_CTD016; DY086_CTD017; DY086_CTD018; DY086_CTD019; DY086_CTD020; DY086_CTD021; DY086_CTD022; DY086_CTD023; DY086_CTD024; DY086_CTD026; DY086_CTD027; DY086_CTD028; DY086_CTD029; DY086_CTD030; DY086_CTD031; DY086_CTD032; DY086_CTD033; Eddy diffusivity; Event label; Flow cytometer, Becton Dickinson, FACSort; Fluorometer, Chelsea Instruments, Aquatracka MKIII; fluxes; High Temperature Catalytic Oxidation (Shimadzu TOC-VCPN); LATITUDE; Leucine uptake rate; Liquid scintillation counter, Packard, TRI-CARB 3100TR; LONGITUDE; marine biogeochemistry; Net primary production of carbon; Nitrate; Organic Elemental Analyzer, Thermo Fisher Scientific, Flash 2000; Oxygen; Oxygen saturation; PAR sensor, Biospherical, LI-COR, SN 70510; PAR sensor, Biospherical, LI-COR, SN 70520; Phosphate; Radiation, photosynthetically active; Radioassays, liquid scintillation counting; Salinity; Scattering meter, WET Labs, ECO-BB OBS; Silicate; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water; Temperature sensor, SEA-BIRD SBE 3Plus; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 171794 data points
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  • 60
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    Sedimentology of core PS1916-1 (1997)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; ARK-VII/3b; AWI_Paleo; Calcium carbonate; Carbon, organic, total; Chlorite; DEPTH, sediment/rock; Element analyser CHN, LECO; Feldspar; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Greenland Shelf; Illite; Kaolinite; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/239; PS1916-1; Quartz; Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Smectite; Sulfur, total; Talc (Area, 9.37Å); Water content, wet mass; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 528 data points
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  • 61
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    Sedimentology and stable isotope data of core PS1919-1 (1996)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; ARK-VII/3b; AWI_Paleo; Calcium carbonate; Carbon, organic, total; Chlorite; DEPTH, sediment/rock; Element analyser CHN, LECO; Feldspar; Giant box corer; GKG; Grain size, sieving/settling tube; Greenland Slope; Illite; Kaolinite; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/242; PS1919-1; Quartz; Sand; Silt; Size fraction 〈 0.002 mm, clay; Smectite; Sulfur, total; Talc (Area, 9.37Å); Water content, wet mass; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
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  • 62
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    Sedimentology and stable isotope data of core PS1920-1 (1996)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; ARK-VII/3b; AWI_Paleo; Calcium carbonate; Carbon, organic, total; Chlorite; DEPTH, sediment/rock; Element analyser CHN, LECO; Feldspar; Glacial Atlantic Ocean Mapping; GLAMAP2000; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Greenland Slope; Illite; Kaolinite; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/243; PS1920-1; Quartz; Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Smectite; Sulfur, total; Talc (Area, 9.37Å); Water content, wet mass; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 1482 data points
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  • 63
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    Sedimentology and stable isotope data of core PS1922-2 (1996)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Amphibole; ARK-VII/3b; AWI_Paleo; Calcium carbonate; Carbon, organic, total; Chlorite; DEPTH, sediment/rock; Element analyser CHN, LECO; Feldspar; Giant box corer; GKG; Greenland Slope; Illite; Kaolinite; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/245; PS1922-2; Quartz; Smectite; Sulfur, total; Talc (Area, 9.37Å); X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 64
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    Sedimentology of core PS1726-2 (1997)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; Giant box corer; GIK21726-2 PS13/193; GKG; Grain size, sieving; Grain size, sieving/settling tube; Greenland Sea; Hydrogen index, mass HC, per unit mass total organic carbon; Nitrogen, total; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS13 GRÖKORT; PS1726-2; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 65
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    Sedimentology of core PS1730-1 (1997)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; Giant box corer; GIK21730-1 PS13/224; GKG; Grain size, sieving; Grain size, sieving/settling tube; Greenland Sea; Hydrogen index, mass HC, per unit mass total organic carbon; Mass spectrometer Finnigan MAT 250; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nitrogen, total; Oridorsalis umbonatus, δ13C; Oridorsalis umbonatus, δ18O; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS13 GRÖKORT; PS1730-1; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 66
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    Age determinations of sediment core PS1730-2 (1999)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Age, 14C AMS; Age, 14C milieu/reservoir corrected; Age, dated; Age, dated standard deviation; ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21730-2 PS13/224; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 67
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    Sand fractions of sediment core PS1730-2 (2000)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21730-2 PS13/224; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; SL
    Type: Dataset
    Format: text/tab-separated-values, 410 data points
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  • 68
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    Corase fractions in sediment core PS1927-2 (2000)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Grain size, sieving; Gravity corer (Kiel type); Greenland Slope; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/251; PS1927-2; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 〉 0.500 mm, gravel; Size fraction 0.630-0.500 mm; SL
    Type: Dataset
    Format: text/tab-separated-values, 116 data points
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  • 69
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    Sand fraction of sediment core PS1725-2 (2000)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21725-2 PS13/192; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1725-2; Quaternary Environment of the Eurasian North; QUEEN; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; Size fraction 1.000-0.500 mm, 0.0-1.0 phi, coarse sand; Size fraction 2.000-1.000 mm, (-1.0)-0.0 phi, very coarse sand; SL
    Type: Dataset
    Format: text/tab-separated-values, 340 data points
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  • 70
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    Stable isotope analysis on sediment core PS1951-1 (1996)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; GLAMAP; Gravity corer (Kiel type); Greenland Slope; Isotope ratio mass spectrometry; Neogloboquadrina pachyderma sinistral, δ18O; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/290; PS1951-1; SL
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
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  • 71
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    Stable isotope analysis on sediment core PS1927-2 (1996)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; GLAMAP; Gravity corer (Kiel type); Greenland Slope; Isotope ratio mass spectrometry; Neogloboquadrina pachyderma sinistral, δ18O; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/251; PS1927-2; SL
    Type: Dataset
    Format: text/tab-separated-values, 58 data points
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  • 72
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    Age control of sediment core PS1951-1 (2001)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Age, comment; Age, dated; Age, error; Age model; ARK-VII/3b; Calculated; DEPTH, sediment/rock; GIK/IfG; Glacial Atlantic Ocean Mapping; GLAMAP2000; Gravity corer (Kiel type); Greenland Slope; Institute for Geosciences, Christian Albrechts University, Kiel; Polarstern; PS17; PS17/290; PS1951-1; Sedimentation rate; see comment; SL
    Type: Dataset
    Format: text/tab-separated-values, 24 data points
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  • 73
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    Stable isotope data of sediment core PS1730-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; DEPTH, sediment/rock; Foraminifera, benthic δ18O; GIK21730-2 PS13/224; Gravity corer (Kiel type); Greenland Sea; Mass spectrometer Finnigan MAT 251; Oridorsalis umbonatus, δ13C; Oridorsalis umbonatus, δ18O; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
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  • 74
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    Sedimentology on core PS1723-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; GIK21723-1 PS13/187; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Hydrogen index, mass HC, per unit mass total organic carbon; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nitrogen, total; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS13 GRÖKORT; PS1723-1; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Scoresby Sund; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sulfur, total; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 224 data points
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  • 75
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    Sedimentology on core PS1730-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; GIK21730-2 PS13/224; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Greenland Sea; Hydrogen index, mass HC, per unit mass total organic carbon; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nitrogen, total; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS13 GRÖKORT; PS1730-2; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1494 data points
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  • 76
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    Sedimentology on core PS1923-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Greenland Shelf; Hydrogen index, mass HC, per unit mass total organic carbon; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nitrogen, total; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS17; PS17/247; PS1923-2; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sulfur, total; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 285 data points
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  • 77
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    Sedimentology on core PS1948-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; Element analyser CHN, LECO; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Greenland Slope; Hydrogen index, mass HC, per unit mass total organic carbon; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nitrogen, total; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS17; PS17/287; PS1948-2; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Sulfur, total; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 532 data points
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  • 78
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    Sedimentology on core PS1950-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; Calcium carbonate; Calculated; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Density, grain; Density, wet bulk; DEPTH, sediment/rock; Element analyser CHN; Grain size, sieving; Grain size, sieving/settling tube; Gravity corer (Kiel type); Greenland Slope; Hydrogen index, mass HC, per unit mass total organic carbon; Mass spectrometer Finnigan MAT 251; Neogloboquadrina pachyderma sinistral, δ13C; Neogloboquadrina pachyderma sinistral, δ18O; Nitrogen, total; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Porosity; PS17; PS17/289; PS1950-2; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Rock eval pyrolysis (Behar et al., 2001); Sand; Silt; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; SL; Water content, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 608 data points
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  • 79
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    Distribution of ice rafted debris (〉 0.5 mm gravel) in sediment core PS1726-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21726-1 PS13/193; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Ice rafted debris, general; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1726-1; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 66 data points
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  • 80
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    Distribution of gravel 〉 0.5 mm as ice rafted debris in sediment core PS1730-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21730-2 PS13/224; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Ice rafted debris, general; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 82 data points
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  • 81
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    Distribution of gravel 〉 0.5 mm as ice rafted debris in sediment core PS1725-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21725-2 PS13/192; Grain size, sieving; Gravity corer (Kiel type); Greenland Sea; Ice rafted debris, general; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1725-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 68 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 82
    facet.materialart.
    Unknown
    Distribution of gravel 〉 0.5 mm as ice rafted debris in sediment core PS1927-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Grain size, sieving; Gravity corer (Kiel type); Greenland Slope; Ice rafted debris, general; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/251; PS1927-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 58 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 83
    facet.materialart.
    Unknown
    Distribution of gravel 〉 0.5 mm as ice rafted debris in sediment core PS1951-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Grain size, sieving; Gravity corer (Kiel type); Greenland Slope; Ice rafted debris, general; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/290; PS1951-1; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 84
    facet.materialart.
    Unknown
    Age model of sediment core PS1725-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Age model; ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21725-2 PS13/192; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1725-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 21 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 85
    facet.materialart.
    Unknown
    Age model of sediment core PS1730-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Age model; ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21730-2 PS13/224; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1730-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 86
    facet.materialart.
    Unknown
    Age model of sediment core PS1726-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Age model; ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21726-1 PS13/193; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1726-1; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 25 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 87
    facet.materialart.
    Unknown
    Age model of sediment core PS1951-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Age model; ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Gravity corer (Kiel type); Greenland Slope; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/290; PS1951-1; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 88
    facet.materialart.
    Unknown
    Accumulation rates calculated of sediment core PS1927-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Accumulation rate, calcium carbonate; Accumulation rate, mass; Accumulation rate, terrigenous; Accumulation rate, total organic carbon; AGE; ARK-VII/3b; AWI_Paleo; Calculated; DEPTH, sediment/rock; Gravity corer (Kiel type); Greenland Slope; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/251; PS1927-2; Quaternary Environment of the Eurasian North; QUEEN; Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 291 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 89
    facet.materialart.
    Unknown
    Accumulation rates calculated of sediment core PS1726-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: Accumulation rate, calcium carbonate; Accumulation rate, mass; Accumulation rate, terrigenous; Accumulation rate, total organic carbon; AGE; ARK-V/3b; AWI_Paleo; Calculated; DEPTH, sediment/rock; GIK21726-1 PS13/193; Gravity corer (Kiel type); Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1726-1; Quaternary Environment of the Eurasian North; QUEEN; Sedimentation rate; SL
    Type: Dataset
    Format: text/tab-separated-values, 331 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 90
    facet.materialart.
    Unknown
    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS1724-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21724-2 PS13/191; Gravity corer (Kiel type); Greenland Sea; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1724-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 129 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 91
    facet.materialart.
    Unknown
    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS1726-1 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-V/3b; AWI_Paleo; DEPTH, sediment/rock; GIK21726-1 PS13/193; Gravity corer (Kiel type); Greenland Sea; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS13 GRÖKORT; PS1726-1; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 600 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 92
    facet.materialart.
    Unknown
    Ice rafted debris (〉 2 mm gravel) distribution in sediment core PS1925-2 (2003)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Keywords: ARK-VII/3b; AWI_Paleo; DEPTH, sediment/rock; Gravity corer (Kiel type); Greenland Slope; Ice rafted debris, number of gravel; IRD-Counting (Grobe, 1987); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS17; PS17/249; PS1925-2; Quaternary Environment of the Eurasian North; QUEEN; SL
    Type: Dataset
    Format: text/tab-separated-values, 215 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 93
    facet.materialart.
    Unknown
    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_177 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alloxanthin; Bacteriochlorophyll a; Basis of event; Bottle number; Campaign of event; Carotene; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll b + divinyl chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophyllide a; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Diadinoxanthin; Diatoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; File name; Fondation Tara Expeditions; FondTara; Fucoxanthin; High Performance Liquid Chromatography (HPLC); Latitude of event; Longitude of event; Lutein; Method/Device of event; Murmansk to Dudinka, Stations: TARA_167-181; Neoxanthin; Nitrate and Nitrite; Nitrite; Optional event label; Peridinin; Phaeophorbide a; Phaeophytin a; Phosphate; Prasinoxanthin; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20130629Z; TARA_20130714T0259Z_177_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 131 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 94
    facet.materialart.
    Unknown
    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_185 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; Basis of event; Bottle number; Campaign of event; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Dudinka to Pevek, Stations: TARA_182-192; Event label; File name; Fondation Tara Expeditions; FondTara; Latitude of event; Longitude of event; Method/Device of event; Optional event label; Pressure, water; Rosette Vertical Sampling System; Salinity; Station label; SV Tara; TARA_20130801Z; TARA_20130811T0638Z_185_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 95
    facet.materialart.
    Unknown
    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_189 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [mesopelagic zone (ENVO:00000213)]; [day] [water layer with no specific feature]; [RVSS]; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alkalinity, total; Basis of event; Bottle number; Calculated using seacarb after Nisumaa et al. (2010); Campaign of event; Carbon, total; Carbonate system computation flag; Carbonate system computation flag (Pesant et al. 2010); Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Determined potentiometrically (Edmond 1970); Dudinka to Pevek, Stations: TARA_182-192; Event label; File name; Fondation Tara Expeditions; FondTara; Latitude of event; Longitude of event; Method/Device of event; Nitrate and Nitrite; Nitrite; Number; Optional event label; pH; Phosphate; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20130801Z; TARA_20130827T0201Z_189_EVENT_CAST; TARA_20130827T0730Z_189_EVENT_CAST; TARA_20130827T0811Z_189_EVENT_CAST; TARA_20130827T1353Z_189_EVENT_CAST; TARA_20130828T0047Z_189_EVENT_CAST; TARA_20130828T0212Z_189_EVENT_CAST; TARA_20130828T0258Z_189_EVENT_CAST; TARA_20130828T0346Z_189_EVENT_CAST; TARA_20130828T0434Z_189_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 96
    facet.materialart.
    Unknown
    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_198 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [water layer with no specific feature]; [RVSS]; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alloxanthin; Bacteriochlorophyll a; Basis of event; Bottle number; Campaign of event; Carotene; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll b + divinyl chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophyllide a; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Diadinoxanthin; Diatoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; File name; Fondation Tara Expeditions; FondTara; Fucoxanthin; High Performance Liquid Chromatography (HPLC); Latitude of event; Longitude of event; Lutein; Method/Device of event; Neoxanthin; Nitrate and Nitrite; Nitrite; Optional event label; Peridinin; Pevek to Tuktoyaktuk, Stations: TARA_193-199; Phaeophorbide a; Phaeophytin a; Phosphate; Prasinoxanthin; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20130907Z; TARA_20130916T2210Z_198_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; URI of event; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 123 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 97
    facet.materialart.
    Unknown
    Vertical profiles of environmental parameters measured on discrete water samples collected with Niskin bottles at station TARA_201 during the Tara Oceans expedition 2009-2013 (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) was a global survey of ocean ecosystems aboard the Sailing Vessel Tara. It carried out extensive measurements of evironmental conditions and collected plankton (viruses, bacteria, protists and metazoans) for later analysis using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set includes properties of seawater, particulate matter and dissolved matter that were measured from discrete water samples collected with Niskin bottles during the 2009-2013 Tara Oceans expedition. Properties include pigment concentrations from HPLC analysis (10 depths per vertical profile, 25 pigments per depth), the carbonate system (Surface and 400m; pH (total scale), CO2, pCO2, fCO2, HCO3, CO3, Total alkalinity, Total carbon, OmegaAragonite, OmegaCalcite, and dosage Flags), nutrients (10 depths per vertical profile; NO2, PO4, N02/NO3, SI, quality Flags), DOC, CDOM, and dissolved oxygen isotopes. The Service National d'Analyse des Paramètres Océaniques du CO2, at the Université Pierre et Marie Curie, determined CT and AT potentiometrically. More than 200 vertical profiles of these properties were made across the world ocean. DOC, CDOM and dissolved oxygen isotopes are available only for the Arctic Ocean and Arctic Seas (2013).
    Keywords: [day] [deep chlorophyll maximum layer (ENVO:010003; [day] [mesopelagic zone (ENVO:00000213)]; [day] [water layer with no specific feature]; [RVSS]; 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; 6=below detection limit; 1=good sample (Picheral et al. 2014); Alkalinity, total; Alloxanthin; Bacteriochlorophyll a; Basis of event; Bottle number; Calculated using seacarb after Nisumaa et al. (2010); Campaign of event; Carbon, total; Carbonate system computation flag; Carbonate system computation flag (Pesant et al. 2010); Carotene; Chlorophyll a; Chlorophyll a, total; Chlorophyll b; Chlorophyll b + divinyl chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophyllide a; Comment of event; Conductivity; Date/Time of event; Density, sigma-theta (0); DEPTH, water; derived from CTD, SEA-BIRD; Determined potentiometrically (Edmond 1970); Diadinoxanthin; Diatoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; File name; Fondation Tara Expeditions; FondTara; Fucoxanthin; High Performance Liquid Chromatography (HPLC); Latitude of event; Longitude of event; Lutein; Method/Device of event; Neoxanthin; Nitrate and Nitrite; Nitrite; Number; Optional event label; Peridinin; pH; Phaeophorbide a; Phaeophytin a; Phosphate; Prasinoxanthin; Pressure, water; Quality flag; Rosette Vertical Sampling System; Salinity; Silicate; Station label; SV Tara; TARA_20130921Z; TARA_20130929T1637Z_201_EVENT_CAST; TARA_20130929T1839Z_201_EVENT_CAST; TARA_20130929T1933Z_201_EVENT_CAST; TARA_20130929T2033Z_201_EVENT_CAST; TARA_20130929T2132Z_201_EVENT_CAST; TARA_20130929T2217Z_201_EVENT_CAST; TARA_20130930T1302Z_201_EVENT_CAST; TARA_20130930T1932Z_201_EVENT_CAST; TARA_20130930T2233Z_201_EVENT_CAST; TARA_20130930T2306Z_201_EVENT_CAST; TARA_20130930T2343Z_201_EVENT_CAST; TARA_20131001T0023Z_201_EVENT_CAST; Tara_Oceans_2009-2013; Tara Oceans Expedition; Temperature, water; Temperature, water, potential; Tuktoyaktuk to Ilulissat, Stations: TARA_200-207; URI of event; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 1445 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 98
    facet.materialart.
    Unknown
    Summarized content of the 〉 63 µm fraction in sediment core PS87/023-1 (2014)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-04-27
    Keywords: Arctic Ocean; ARK-XXVIII/4 ALEX2014; AWI_Paleo; Bolivina arctica; Cassidulina sp.; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Echinoid spine; Foraminifera, benthic agglutinated indeterminata; Foraminifera, benthic calcareous; KAL; Kasten corer; Neogloboquadrina pachyderma sinistral; Oridorsalis tener; Ostracoda; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS87; PS87/023-1; Sand; Sponge spiculae
    Type: Dataset
    Format: text/tab-separated-values, 2292 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 99
    facet.materialart.
    Unknown
    Dimethylsulphide (DMS), dimethylsulphonioproionate (DMSP) and halocarbon concentrations taken from 25m integrated samples during the 2011 SOPRAN Bergen Raunefjord Mesocosm experiment, Norway (2016)
    PANGAEA
    In:  Supplement to: Webb, Alison L; Malin, Gill; Hopkins, Frances E; Ho, Kai Lam; Riebesell, Ulf; Schulz, Kai Georg; Larsen, Aud; Liss, Peter S (2016): Ocean acidification has different effects on the production of dimethylsulfide and dimethylsulfoniopropionate measured in cultures of Emiliania huxleyi and a mesocosm study: a comparison of laboratory monocultures and community interactions. Environmental Chemistry, 13(2), 314, https://doi.org/10.1071/EN14268
    Details
    Publication Date: 2024-04-27
    Description: The human-induced rise in atmospheric carbon dioxide since the industrial revolution has led to increasing oceanic carbon uptake and changes in seawater carbonate chemistry, resulting in lowering of surface water pH. In this study we investigated the effect of increasing CO2 partial pressure (pCO2) on concentrations of volatile biogenic dimethylsulfide (DMS) and its precursor dimethylsulfoniopropionate (DMSP), through monoculture studies and community pCO2 perturbation. DMS is a climatically important gas produced by many marine algae: it transfers sulfur into the atmosphere and is a major influence on biogeochemical climate regulation through breakdown to sulfate and formation of subsequent cloud condensation nuclei (CCN). Overall, production of DMS and DMSP by the coccolithophore Emiliania huxleyi strain RCC1229 was unaffected by growth at 900 µatm pCO2, but DMSP production normalised to cell volume was 12 % lower at the higher pCO2 treatment. These cultures were compared with community DMS and DMSP production during an elevated pCO2 mesocosm experiment with the aim of studying E. huxleyi in the natural environment. Results contrasted with the culture experiments and showed reductions in community DMS and DMSP concentrations of up to 60 and 32 % respectively at pCO2 up to 3000 µatm, with changes attributed to poorer growth of DMSP-producing nanophytoplankton species, including E. huxleyi, and potentially increased microbial consumption of DMS and dissolved DMSP at higher pCO2. DMS and DMSP production differences between culture and community likely arise from pH affecting the inter-species responses between microbial producers and consumers.
    Keywords: Chloroiodomethane; DATE/TIME; Day of experiment; Dibromochloromethane; Dibromomethane; Diiodomethane; Dimethyl sulfide, dissolved; Dimethylsulfoniopropionate; Dimethylsulfoniopropionate, particulate; Iodoethane; Iodomethane; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Mesocosm label; Raunefjord; SOPRAN; Surface Ocean Processes in the Anthropocene; Treatment; Tribromomethane
    Type: Dataset
    Format: text/tab-separated-values, 2590 data points
    Location Call Number Expected Availability
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  • 100
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    Photosynthetic parameters TRANSSIZ mission (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-27
    Description: Photosynthetic parameters for the TRANSSIZ expedition aboard the RV Polarstern (PS92, ARK-XXIX/1) between the 19th of May and the 26th June of 2015.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Cast number; Coefficient of determination; Comment; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; Latitude of event; Light saturation; Longitude of event; Photoinhibition parameter; Photosynthetic efficiency; Photosynthetic parameters; Photosynthetic rate, maximum, per carbon; Photosynthetic rate, per carbon; Polarstern; primary production; PS92; PS92/019-5; PS92/027-3; PS92/031-3; PS92/032-5; PS92/036-1; PS92/039-8; PS92/043-5; PS92/046-2; PS92/047-4; PS92/052-1; Station label
    Type: Dataset
    Format: text/tab-separated-values, 616 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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