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  • 2020-2024  (164,801)
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  • 1
    Publication Date: 2024-05-01
    Description: The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high resolution and a design that limits wind disturbance. Here, movies and images of falling precipitation particles are provided for station Ny-Ålesund from July 2022 to December 2023. For further details on the VISSS Sensor see Maahn et al. (2024).
    Keywords: AC3; Arctic Amplification; In-situ; Ny-Ålesund; snowfall; snowflake
    Type: Dataset
    Format: application/zip, 523 datasets
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  • 2
    Publication Date: 2024-05-01
    Description: Here, we present data on lipid biomarkers (branched glycerol dialkyl glycerol tetraethers (brGDGTs) and hopanes) from the NGaoundaba peat deposit (NE Cameroon - Adamawa Plateau - N7.135° E13.690°) spanning the last 10 ka. The data comprise concentrations of hopanes, C31 hopane carbon isotopic composition (when available), hopane isomer ratio and CBTpeat ratio as well as pH reconstructions based on empirical calibration from Naafs et al. 2017 and Inglis et al. 2018. The core was collected on February 2019 and named NBGA19. The 6-meter-long core was sub-sampled at 2.5-cm intervals. 73 samples were analyses. Lipid biomarkers were extracted using MARS 6 CEM microwave extraction system and then separated by column chromatography on silica gel into three fractions. Data were obtained using HPLC-APCI-MS (Agilent 1200) (LGL-TPE, ENS de Lyon, France) or GC-MS (Agilent) and GC-IRMS (Agilent 9870B GC coupled to an isoprime visION IRMS via an isopirme GC-5 combustion interface Elementar) (LGL-TPE Université Claude Bernard Lyon 1, France). Carbon isotopic compositions was calibrated using a reference CO2 gas reported to VPDB scale.
    Keywords: 13C composition; African Humid Period; Core; CORE; isomer ratios; lipid biomarkers; NGaoundaba peatland, Northeastern Cameroon; NGBA19; pH reconstruction
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2024-05-01
    Description: Here are the bundled geochemical data of an 11-m-long sediment core EN21103 collected from Lake Ulu (63.34°N, 141.05°E) in the Oymyakon region (eastern Siberia) during the 'Yakutia 2021' expedition, which consists of five datasets. (1) Dataset 1. Radiocarbon dating performed on the total organic carbon content of 40 bulk sediments, measured at the MICADAS (Mini Carbon Dating System) Laboratory of AWI in Bremerhaven. (2) Dataset 2. Bacon age-depth model. This model was established based on the Bayesian method with a hiatus at 138 cm and calibrated using the IntCal20 dataset via the Bacon function in the R-package rbacon. A reservoir effect of approximately 351 ± 24 radiocarbon years has been determined by the dated surface sample (0−0.5 cm). We assumed a constant reservoir effect over time and therefore subtracted a value of 351 years from all radiocarbon ages. (3) Dataset 3. Element composition including total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC), and total nitrogen (TN), measured with a soli TOC cube (Elementar) and a rapid MAX N exceed (Elementar) at the Carbon and Nitrogen Laboratory of AWI in Potsdam. The minimum detectable concentration for natural sediment samples is 0.1% for both machines. (4) Dataset 4. Stable carbon isotopes of organic matter (d13C), measured with a Delta V Advantage Mass Spectrometer at the ISOLAB Facility of AWI in Potsdam. All isotopic values are reported in standard δ-notation in per mil (‰) relative to VPDB. (5) Dataset 5. X-ray fluorescence (XRF) scanning data, scanned with an AvaaTech XRF core scanner at AWI in Potsdam. All elements were measured at X-ray voltages of 10 kV and 30 kV and currents of 0.45 mA and 0.15 mA, respectively, with a step size of 0.5 cm and an exposure time of 10 s. The data are semiquantitative and provide relative fluctuations in the chemical element compositions as counts per second (cps).
    Keywords: d13C; Geochemical proxies; Lake sediment core; Lake Ulu; Oymyakon; radiocarbon age; Siberia; TC; TIC; TN; TOC; XRF
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 4
    Publication Date: 2024-05-01
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profiles at two locations on Little Dome C (LDC), Antarctica - the European Beyond EPICA - Oldest Ice project drill site (BELDC; 75.29917 °S, 122.44516 °E) and the Australian Million Year Ice Core project drill site (MYIC; 75.34132 °S, 122.52059 °E). Further details on the model can be found in the associated publication (Chung et al., 2023; The Cryosphere). The model was constrained by two different sets of radar horizons. 1. The radar survey conducted over the Dome C region conducted by the British Antarctic Survey over the 2016-17 and 2017-18 Antarctic field seasons using the sledge-borne DEep LOoking Radio Echo Sounder (DELORES; Mulvaney et al., 2023). 2. The radar survey conducted during the 2019-20 Antarctic field season in a collaboration between the University of Alabama (UA), the University of Copenhagen (CPH) and the Alfred Wegener Institute (AWI), using the Little Dome C-Very High Frequency radar system (LDC-VHF; Chung et al., 2023; PANGAEA). Applying the 1D model to the two radar datasets at the two ice core location result in the four predicted age-depth profiles that we present here: BELDC_DELORES, BELDC_LDC-VHF, MYIC_DELORES and MYIC_LDC-VHF. The age-depth profiles, extend to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: BE-OI; Beyond EPICA - Oldest Ice
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 5
    Publication Date: 2024-05-01
    Description: This dataset contains major element oxide data and trace element data of volcanic events from B19, TUNU2013, and RECAP ice cores, Greenland and associated proximal material from Iceland. Secondary standards for major and trace element data are also provided. These ice cores were investigated to identify the source of the volcanic events across the period 700-1000 CE. In total, six volcanic events have been geochemically analysed across the study period in the Greenland ice cores and two corresponding events were analysed from Iceland.
    Keywords: Geochemistry; Greenland; Ice core; Iceland; Tephra
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 6
    Publication Date: 2024-05-01
    Description: The study was done in the Palatinate region, Germany. Arthropod assemblages were sampled in 32 vineyards of organic and conventional wineries planted with resistant and susceptible grape varieties. The vineyards received different pesticide treatments (spraying frequency and toxicity of applied products). Arthropod sampling took place between May and October 2018. Arthropods were sampled from the grapevine canopy via beat-sheet, identified at least to family level, and assigned to different feeding guilds. Natural pest control on L. botrana eggs was observed with sentinel cards which were exposed in the same year. Eggs were counted before and after exposure.
    Keywords: Acanthosomatidae; Acartophthalmidae; Aeolothripidae; Agaonidae; Agelenidae; Agromyzidae; Amaurobiidae; Anobiidae; Anthicidae; Anthocoridae; Anthomyiidae; Anthribidae; Anyphaenidae; Anystidae; Aphididae; Aphrophoridae; Apidae; Apionidae; Araneae; Araneidae; Arthropoda, number of families; Asteiidae; Atelestidae; Attelabidae; Baetidae; Beat sheet counts; Berytidae; Bethylidae; Bibionidae; Blattellidae; Braconidae; Bruchidae; Caeciliusidae; Camillidae; Cantharidae; Carabidae; Carnivore; Cecidomyiidae; Ceraphronidae; Ceratopogonidae; Chalcididae; Chamobatidae; Cheiracanthiidae; Chernetidae; Chironomidae; Chloropidae; Chryptophagidae; Chrysididae; Chrysomelidae; Chrysopidae; Cicadellidae; Cixiidae; Cleridae; Clubionidae; Coccinellidae; Coleophoridae; Coleoptera; Colletidae; Coreidae; Crambidae; Cunaxidae; Curculionidae; Cynipidae; Dasytidae; Delphacidae; Detrivore; Diapriidae; Dictynidae; Diptera; Dolichopodidae; Drosophilidae; Ectobiidae; Ectopsocidae; Elasmidae; Elateridae; Elipsocidae; Empididae; Encyrtidae; Entomobryidae; Epermeniidae; Ephydridae; Erebidae; Eriosomatidae; Eucnemidae; Eucoilidae; Eulophidae; Eupelmidae; Eurytomidae; Fanniidae; Figitidae; Forficulidae; Formicidae; Fungivore; Geometridae; Gnaphosidae; Gracillariidae; Haematophages; Halictidae; Haliplidae; Hazard quotient; Hemerobiidae; Hemiptera; Hepialidae; Herbivore; Hymenoptera; Ichneumonidae; Isotomidae; Kateretidae; Lachesillidae; Landau_vineyards; Landau (Pfalz), Rhineland-Palatinate, Southern Germany; Latridiidae; Lauxaniidae; Lepidoptera; Limnephilidae; Linyphiidae; Lobesia botrana, eggs; Lycaenidae; Lycosidae; Lygaeidae; Malachiidae; Meconematidae; Megaspilidae; Melyridae; Membracidae; Mesopsocidae; Microphysidae; Mimetidae; Miridae; Muscidae; Mycetophagidae; Mycetophilidae; Mymaridae; Nabidae; Nectarivore; Neuroptera; Nitidulidae; Noctuidae; Number of individuals; Oedemeridae; Omnivore; Opiliones; Oribatellidae; Palynivore; Panorpidae; Parasite; Parasitoid; Penphygidae; Pentatomidae; Peripsocidae; Periscelididae; Phalacridae; Phalangiidae; Phenopelopidae; Philodromidae; Philosciidae; Phlaeothripidae; Pholcidae; Phoridae; Piesmatidae; Pisauridae; Platygastridae; Platypezidae; Plutellidae; Polyxenidae; Pompilidae; Proctotrupidae; Psocoptera; Pteromalidae; Pterophoridae; Pyralidae; Pyrrhocoridae; Reduviidae; Rhinophoridae; Rhopalidae; Rhyparochromidae; Sacrophagidae; Saldidae; Salticidae; Sample ID; Scatopsidae; Scelionidae; Sciaridae; Scolytidae; Scraptiidae; Segestriidae; Simuliidae; Site; Sminthuridae; Sparassidae; Sphaeroceridae; Sphindidae; Staphylinidae; Stenopsocidae; Stratiomyidae; Syrphidae; Tabanidae; Tachinidae; Tenebrionidae; Tephritidae; Tetragnathidae; Tettigometridae; Tettigoniidae; Theridiidae; Thomisidae; Thripidae; Tineidae; Tingidae; Tipulidae; Tortricidae; Torymidae; Treatment; Trichopsocidae; Trombidiidae; Uloboridae; Unknown feeding guild; Variety; Vespidae; Yponomeutidae
    Type: Dataset
    Format: text/tab-separated-values, 6944 data points
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  • 7
    Publication Date: 2024-05-01
    Description: Northern quahog (Mercenaria mercenaria) were fertilized under normal pCO2 and reared under acidified (pH ~ 7.5, pCO2 ~ 1200 ppm) or control (pH ~ 7.9, pCO2 ~ 600 ppm) conditions before sampled at 2 days (larvae), 32 days (postsets), 5 and 10 months (juveniles) and submitted to RNA and DNA sequencing to evaluate alterations in gene expression and genetic variations.
    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; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); 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; Containers and aquaria (20-1000 L or 〈 1 m**2); EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Gene expression (incl. proteomics); Hampton_Bays; Laboratory experiment; Mercenaria mercenaria; Mollusca; North Atlantic; Northport; Number; 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); Pelagos; Percentage; pH; pH, standard deviation; Riverhead_OA; Salinity; Salinity, standard deviation; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperate; Temperature, water; Temperature, water, standard deviation; Time point, descriptive; Treatment; Type of study; Wellfleet; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 332 data points
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  • 8
    Publication Date: 2024-05-01
    Description: The seasonal proliferations of green seaweeds under the morphological blade-type Ulva have been observed on Brittany coasts since the late 60s-early 70s. These so-called green tides are directly related to the eutrophication of coastal waters, and especially to high terrigenous inputs of nitrogen to the sea. In this context, a management tool, i.e. the ecological Model for Application at Regional Scale MARS3D-Ulve, has specifically been developed to support stakeholders to set realistic targets for nitrogen input reductions. Among key parameters of the model, the maximum nitrate uptake rate (Vmax) and the half-saturation constant for nitrate (Km) of Ulva sp. have initially been calibrated to reproduce the seasonal variation of the internal nitrogen and phosphorus algal contents measured in situ for five sites along the Brittany coastline (La Fresnaye Bay, Saint-Brieuc Bay, Lannion Bay, Guissény Bay and Douarnenez Bay; Perrot et al. (2014, doi:10.1016/j.jmarsys.2013.12.010)). The calibrated values of Vmax and Km require therefore to be experimentally validated. Laboratory experiments were monthly set up to assess the seasonal evolution of nitrate uptake kinetic of Ulva spp. from May to September during two successive seasons (2022 and 2023). Healthy vegetative thalli of the dominant Ulva species were randomly sampled on Lermot Beach, located in Saint-Brieuc Bay (lat 48.5339, long 2.6622). Eventhough the model MARS3D-Ulve does not differentiate Ulva sp. at the species level, morpho-anatomical identification of the sampled thalli was carried out following the updated taxonomic classification of Hughey et al. (2021, doi:10.1080/09670262.2021.1914862). Algae were grown in 5 l polypropylen beakers in 0.2 µm filtered seawater under 7 different nitrate concentrations (0, 5, 10, 20, 50, 100, 200 µmol/l). Phosphate was added (3 µmol/l) in each beaker to avoid limitation. The experiment was run under a light intensity of 150 µmol photons m²/s. Photoperiod and temperature were adjusted to measured in situ conditions. The laboratory experiments consisted in assessing nitrates concentrations in each medium after 30 minute-incubation period. Nitrate uptake rates were calculated from nitrate concentrations and the corresponding kinetic parameters Vmax and Km were estimated by fitting data with the Michaelis-Menten equation, using a nonlinear least-squares regression (Lotze and Schramm, 2000, doi:10.1046/j.1529-8817.2000.99109.x). Each experiment was replicated three times. Before each experiment, physiological and nutritional states of algae were determined from the assessment of their maximum quantum yield (Fv/Fm), and their nitrogen and phosphorus tissue contents respectively. Those assessments were done from four replicated samples.
    Keywords: Analysis date/time, experiment; Brittany, France; Calculated, according to the Michaelis-Menten kinetic; Diving-PAM-II photosynthesis system, Walz; Experiment; ICP-AES; Inductively coupled plasma atomic emission spectroscopy; Laboratory experiment; Light:Dark cycle; Maximum quantum yield of photosystem II; Maximum quantum yield of photosystem II, standard deviation; Nitrate, half saturation constant; Nitrate, half saturation constant, standard deviation; Nitrate, maximum uptake rate per hour as dry mass; Nitrate, maximum uptake rate per hour as dry mass, standard deviation per hour; Nitrogen, in tissue, per dry mass; Nitrogen, in tissue, per dry mass, standard deviation; Nitrogen analysis after Dumas; Phosphorus, in tissue, per dry mass; Phosphorus, in tissue, per dry mass, standard deviation; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Treatment: temperature; Ulva_species_Lermot_Beach; WTW Multiline P4 analyser
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 9
    Publication Date: 2024-05-01
    Description: Here, we investigatethe impacts of moderate (~700 μmol/kg) and high (~2700 μmol/kg) limestone-inspired alkalinity additionson two biogeochemically and ecologically important phytoplankton functional group representatives: Emilianiahuxleyi (calcium carbonate producer) and Chaetoceros sp. (silica producer). The growth rate and elemental ratiosof both taxa were estimated.
    Keywords: Alkalinity, total; Ammonia; Aragonite saturation state; Area; Bacillariophyta; Bicarbonate ion; Biogenic silica; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcium, dissolved; Calcium, particulate; Calcium chloride dihydrate; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, organic, particulate; Carbon, organic, particulate, per cell; Carbon, organic, particulate mass; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell density; Chaetoceros sp.; Chromista; Dry air column-averaged mole fraction of carbon dioxide; Emiliania huxleyi; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Haptophyta; Laboratory experiment; Laboratory strains; Mass; Maximum quantum yield of photosystem II; Nitrate and Nitrite; Nitrogen, inorganic, dissolved; Nitrogen, organic, particulate; Nitrogen, organic, particulate mass; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Pelagos; pH; pH, standard deviation; Phosphate; Phytoplankton; Potentiometric titration; Primary production/Photosynthesis; Revelle factor; Salinity; Sample code/label; Sampling date; Silicate; Single species; Sodium carbonate; Species; Spectrophotometric; Strain; Temperature, water; Temperature, water, standard deviation; Treatment; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 9880 data points
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  • 10
    Publication Date: 2024-05-01
    Description: This study was designed to assess the physiological cost of resilience to acidification in the hard clam (Mercenaria mercenaria, also known as northern quahog). We examined growth and susceptibility to bacterial infection of larval and juvenile clams reared in seawater with altered pCO2. We specifically focused on changes in immune performances, measured as alterations of resistance of larvae and juveniles towards opportunistic Vibrio spp., among clams exposed to acidified seawater. By examining different life history stages, we were able to document differences in exposure time to acidification as well as potential carry-over effects. To determine if increased susceptibility to infection was direct or indirect, we examined the response of the Vibrio species used in the bacterial challenge to different pH treatments and their native presence in the treatment tanks prior to bacterial challenges. Furthermore, we determined if reduced immune function induced by exposure to acidification was permanent or if clams can rebound and restore immunity after transfer to low pCO2/high pH conditions (indicating a plastic response and/or a selection event) and if early survival in OA conditions was related to success at later stages (through either acclimation or carry over effects).
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Bacteria; Bacteria, abundance in colony forming units; Bacterial abundance, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Calculated using seacarb after Orr et al. (2018); Calculated with seacarb package in R; 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; Containers and aquaria (20-1000 L or 〈 1 m**2); Duration; Entire community; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Growth/Morphology; Hampton_Bays; Heterotrophic prokaryotes; Immunology/Self-protection; Individuals; Laboratory experiment; Length; Mercenaria mercenaria; Mollusca; Mortality/Survival; North Atlantic; Northport; OA-ICC; Ocean Acidification International Coordination Centre; Other; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Proteobacteria; Riverhead_OA; Salinity; Salinity, standard deviation; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Temperate; Temperature, water; Temperature, water, standard deviation; Time in days; Time in hours; Treatment; Type of study; Vibrio sp.; Wellfleet; Width; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 1334 data points
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  • 11
    Publication Date: 2024-05-01
    Keywords: Achillea millefolium; Agrostis capillaris; Agrostis stolonifera; Alchemilla vulgaris; Alopecurus pratensis; Angelica sylvestris; Anthoxanthum odoratum; Arrhenatherum elatius; Bellis perennis; Betonica officinalis; Bistorta officinalis; Brassica rapa; Briza minor; Capsella bursa-pastori; Carex flacca; Carex hostiana; Carex spp.; Carum carvi; Centaurea pseudophrygia; Cerastium holosteoides; Cirsium oleraceum; Cirsium rivulare; Crepis biennis; Crepis mollis; Crepis spp.; Cynosurus cristatus; Dactylis glomerata; Dactylorhiza incarnata; Dactylorhiza lapponica; Date/Time of event; Epipactis palustris; Equisetum palustre; Eriophorum latifolium; Event label; Festuca pratensis; Festuca rubra; Filipendula ulmaria; Galium album; Geum rivale; grassland type; Heracleum sphondylium; Holcus lanatus; Hypericum perforatum; Hypochaeris radicata; Koeleria pyramidata; Lathyrus pratensis; Latitude of event; Leontodon autumnalis; Leucanthemum ircutianum; Linum catharticum; Lolium multiflorum; Lolium perenne; Longitude of event; Lotus corniculatus; Lychnis flos-cuculi; managed grassland; mesic grassland; MULT; Multiple investigations; Myosotis scorpioides; Phleum pratensis; Pimpinella saxifraga; Plantago lanceolata; Plantago major; Poa pratensis; Potentilla reptans; Potentilla vulgaris; Prunella vulgaris; Ranunculus acris; Ranunculus repens; Rhinanthus minor; Rhinanthus serotinus; Rumex acetosa; Rumex crispus; Rumex obtusifolius; Salix repens; Scabiosa columbaria; Site; Southern Germany; Species richness; Sphagnum spp.; Stellaria media; Subplot; Succisa pratensis; SUSALPS; SUSALPS-RS2020_EL1; SUSALPS-RS2020_EL2; SUSALPS-RS2020_EL3; SUSALPS-RS2020_FE1; SUSALPS-RS2020_FE2; SUSALPS-RS2020_FE3; SUSALPS-RS2020_FE4; SUSALPS-RS2020_RB1; SUSALPS-RS2020_RB2; SUSALPS-RS2020_RB3; Sustainable use of alpine and pre-alpine grassland soils in a changing climate; Tarraxacum officinalis; temperate grassland; TERENO; Terrestrial Environmental Observatories; Trifolium dubium; Trifolium pratense; Trifolium pratensis; Trifolium repens; Trisetum flavescens; Type; Valeriana dioica; vegetation survey; Veronica arvensis; Veronica chamaedrys; Veronica filiformis; Vicia spp.; Visual estimation
    Type: Dataset
    Format: text/tab-separated-values, 870 data points
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  • 12
    Publication Date: 2024-05-01
    Keywords: 13C composition; African Humid Period; AGE; Core; CORE; Cyclization ratio of branched tetraethers; DEPTH, sediment/rock; HPLC-MS according to Naafs et al. (2017); isomer ratios; lipid biomarkers; NGaoundaba peatland, Northeastern Cameroon; NGBA19; pH; pH reconstruction
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 13
    Publication Date: 2024-05-01
    Keywords: 13C composition; African Humid Period; AGE; C30 alpha beta-Hopane, per unit mass total organic carbon; C30 beta beta-Hopane, per unit mass total organic carbon; C30 hopane beta beta/(beta beta+alpha beta) ratio; C31 22S/(22S+22R); C31 alpha beta R homohopane, per unit mass total organic carbon; C31 alpha beta S homohopane, per unit mass total organic carbon; C31 beta beta-Hopane, per unit mass total organic carbon; C31 hopane beta beta/alpha beta+beta beta ratio; Calculated according to Mackenzie et al. (1980); Core; CORE; DEPTH, sediment/rock; isomer ratios; lipid biomarkers; NGaoundaba peatland, Northeastern Cameroon; NGBA19; pH; pH calibration according to Inglis et al. (2018); pH reconstruction
    Type: Dataset
    Format: text/tab-separated-values, 524 data points
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  • 14
    Publication Date: 2024-05-01
    Description: Radiocarbon dating performed on the total organic carbon content of 40 bulk sediments, measured at the MICADAS (Mini Carbon Dating System) Laboratory of AWI in Bremerhaven.
    Keywords: Accelerator mass spectrometry, Ionplus, Mini Carbon Dating System (MiCaDaS AWI); Age, 14C calibrated; Age, dated; Age, dated material; Age, dated standard deviation; AWI Arctic Land Expedition; Calendar age, maximum/old; Calendar age, minimum/young; DEPTH, sediment/rock; EN21103; Laboratory code/label; Lake sediment core; Lake Ulu; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; radiocarbon age; RU-Land_2021_Yakutia; Siberia; Yakutsk
    Type: Dataset
    Format: text/tab-separated-values, 240 data points
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  • 15
    Publication Date: 2024-05-01
    Keywords: 13C composition; African Humid Period; AGE; C31 alpha beta-Hopane, δ13C; C31 alpha beta-Hopane, δ13C standard deviation; C31 beta beta-Hopane, δ13C; C31 beta beta-Hopane, δ13C, standard deviation; Core; CORE; DEPTH, sediment/rock; Gas chromatography - isotope ratio mass spectrometry (GC-IRMS); Gas chromatography - isotope ratio mass spectrometry (GC-IRMS), based on duplicate analyses; isomer ratios; lipid biomarkers; NGaoundaba peatland, Northeastern Cameroon; NGBA19; pH reconstruction
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
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  • 16
    Publication Date: 2024-05-01
    Description: Element composition including total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC), and total nitrogen (TN), measured with a soli TOC cube (Elementar) and a rapid MAX N exceed (Elementar) at the Carbon and Nitrogen Laboratory of AWI in Potsdam. The minimum detectable concentration for natural sediment samples is 0.1% for both machines.
    Keywords: AGE; AWI Arctic Land Expedition; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbon Analyzer, Elementar, soli TOC cube; DEPTH, sediment/rock; EN21103; Geochemical proxies; Lake sediment core; Lake Ulu; Nitrogen, total; Nitrogen Analyzer, Elementar, rapid MAX N exceed; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; radiocarbon age; RU-Land_2021_Yakutia; Siberia; TC; TIC; TN; TOC; Yakutsk
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
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  • 17
    Publication Date: 2024-05-01
    Description: This model was established based on the Bayesian method with a hiatus at 138 cm and calibrated using the IntCal20 dataset via the Bacon function in the R-package rbacon. A reservoir effect of approximately 351 ± 24 radiocarbon years has been determined by the dated surface sample (0−0.5 cm). We assumed a constant reservoir effect over time and therefore subtracted a value of 351 years from all radiocarbon ages.
    Keywords: Age model, Bacon (Blaauw & Christen, 2011); AWI Arctic Land Expedition; Calendar age; DEPTH, sediment/rock; EN21103; Geochemical proxies; Lake sediment core; Lake Ulu; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; radiocarbon age; RU-Land_2021_Yakutia; Siberia; Yakutsk
    Type: Dataset
    Format: text/tab-separated-values, 2184 data points
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  • 18
    Publication Date: 2024-05-01
    Description: Stable carbon isotopes of organic matter (d13C), measured with a Delta V Advantage Mass Spectrometer at the ISOLAB Facility of AWI in Potsdam. All isotopic values are reported in standard δ-notation in per mil (‰) relative to VPDB.
    Keywords: AGE; AWI Arctic Land Expedition; d13C; DEPTH, sediment/rock; EN21103; Geochemical proxies; Lake sediment core; Lake Ulu; Mass spectrometer Thermo Delta V Advantage; Oymyakon; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; RU-Land_2021_Yakutia; Siberia; TOC; Yakutsk; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 53 data points
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  • 19
    Publication Date: 2024-05-01
    Description: X-ray fluorescence (XRF) scanning data, scanned with an AvaaTech XRF core scanner at AWI in Potsdam. All elements were measured at X-ray voltages of 10 kV and 30 kV and currents of 0.45 mA and 0.15 mA, respectively, with a step size of 0.5 cm and an exposure time of 10 s. The data are semiquantitative and provide relative fluctuations in the chemical element compositions as counts per second (cps).
    Keywords: AGE; Aluminium; Argon; AWI Arctic Land Expedition; Bromine; Calcium; Chlorine; Copper; DEPTH, sediment/rock; EN21103; Geochemical proxies; Iron; Lake sediment core; Lake Ulu; Magnesium; Manganese; Molybdenum; Nickel; Niobium; Oymyakon; Phosphorus; Piston coring system, UWITEC Niederreiter, HYBRID 90 mm UHP 30450; Potassium; Rhodium, coherent scattering intensity; Rhodium, incoherent scattering intensity; Rubidium; RU-Land_2021_Yakutia; Siberia; Silicon; Strontium; Sulfur; Titanium; Vanadium; X-ray fluorescence core scanner (XRF), Avaatech; XRF; Yakutsk; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 57078 data points
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  • 20
    Publication Date: 2024-05-01
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profile at the European Beyond EPICA - Oldest Ice project drill site (BELDC; 75.29917 °S, 122.44516 °E) on Little Dome C (LDC), Antarctica. Further details on the model can be found in the associated publication: Chung et al., 2023 (The Cryosphere). The model was constrained by 20 horizons from the radar survey conducted over the Dome C region conducted by the British Antarctic Survey over the 2016-17 and 2017-18 Antarctic field seasons using the sledge-borne DEep LOoking Radio Echo Sounder (DELORES; Mulvaney et al., 2023). The age-depth profile extends to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: Accumulation rate in ice equivalent per year; Age, 1D numerical model; Age density; BELDC_site; BE-OI; Beyond EPICA drill site; Beyond EPICA - Oldest Ice; DEPTH, ice/snow; Ice age; Ice age, uncertainty; MULT; Multiple investigations; Thinning function; Velocity, vertical
    Type: Dataset
    Format: text/tab-separated-values, 5316 data points
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  • 21
    Publication Date: 2024-05-01
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profile at the European Beyond EPICA - Oldest Ice project drill site (BELDC; 75.29917 °S, 122.44516 °E) on Little Dome C (LDC), Antarctica. Further details on the model can be found in the associated publication: Chung et al., 2023 (The Cryosphere). The model was constrained by 19 horizons from the radar survey conducted during the 2019-20 Antarctic field season in a collaboration between the University of Alabama (UA), the University of Copenhagen (CPH) and the Alfred Wegener Institute (AWI), using the Little Dome C-Very High Frequency radar system (LDC-VHF; Chung et al., 2023, PANGAEA).. The age-depth profile extends to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: Accumulation rate in ice equivalent per year; Age, 1D numerical model; Age density; BELDC_site; BE-OI; Beyond EPICA drill site; Beyond EPICA - Oldest Ice; DEPTH, ice/snow; Ice age; Ice age, uncertainty; MULT; Multiple investigations; Thinning function; Velocity, vertical
    Type: Dataset
    Format: text/tab-separated-values, 5268 data points
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  • 22
    Publication Date: 2024-05-01
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profile at the the Australian Million Year Ice Core project drill site (MYIC; 75.34132 °S, 122.52059 °E) on Little Dome C (LDC), Antarctica. Further details on the model can be found in the associated publication: Chung et al., 2023 (The Cryosphere). The model was constrained by 19 horizons from the radar survey conducted during the 2019-20 Antarctic field season in a collaboration between the University of Alabama (UA), the University of Copenhagen (CPH) and the Alfred Wegener Institute (AWI), using the Little Dome C-Very High Frequency radar system (LDC-VHF; Chung et al., 2023, PANGAEA).. The age-depth profile extends to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: Accumulation rate in ice equivalent per year; Age, 1D numerical model; Age density; BE-OI; Beyond EPICA - Oldest Ice; DEPTH, ice/snow; Ice age; Ice age, uncertainty; Million Year Ice Core drill site; MULT; Multiple investigations; MYIC_site; Thinning function; Velocity, vertical
    Type: Dataset
    Format: text/tab-separated-values, 5998 data points
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  • 23
    Publication Date: 2024-05-01
    Description: Raw major element oxide data for volcanic events analysed from B19 [78.00°N/36.40°W], TUNU2013 [78.04°N/33.88°W], and RECAP [71.3°N/26.7°W] ice cores (Greenland) across the period 750-940 CE. Data was obtained using electron probe micro-analysis (EPMA) at the University of Bern, Switzerland, Queen's University Belfast, UK, and University of Edinburgh, UK. Sample ID, sample depth (m), raw oxide values, and correlating horizon are provided.
    Keywords: Aluminium oxide; B19; Calcium oxide; Date; DEPTH, ice/snow; Depth, ice/snow, bottom/maximum; Depth, ice/snow, top/minimum; Electron Probe Microanalysis (EPMA); Event label; Geochemistry; Greenland; Ice core; ICEDRILL; Ice drill; Iceland; Iron oxide, FeO; Laboratory; Latitude of event; Longitude of event; Magnesium oxide; Manganese oxide; ngt19C93.2; NorthGreenlandTraverse; Oxides, total; Phosphorus pentoxide; Potassium oxide; RECAP; Renland Ice Cap, East Greenland; Sample ID; Sampling/drilling from ice; Silicon dioxide; Sodium oxide; Tephra; Tephra correlative; Titanium dioxide; Tunu13; TUNU2013
    Type: Dataset
    Format: text/tab-separated-values, 2890 data points
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  • 24
    Publication Date: 2024-05-01
    Description: We used a 1D numerical model constrained by radar horizons to find the age-depth profile at the the Australian Million Year Ice Core project drill site (MYIC; 75.34132 °S, 122.52059 °E) on Little Dome C (LDC), Antarctica. Further details on the model can be found in the associated publication: Chung et al., 2023 (The Cryosphere). The model was constrained by 20 horizons from the radar survey conducted over the Dome C region conducted by the British Antarctic Survey over the 2016-17 and 2017-18 Antarctic field seasons using the sledge-borne DEep LOoking Radio Echo Sounder (DELORES; Mulvaney et al., 2023). The age-depth profile extends to the deepest point where modelled age density 〈 20 ka/m - the threshold for which a paleoclimatic signal can reasonably be extracted.
    Keywords: Accumulation rate in ice equivalent per year; Age, 1D numerical model; Age density; BE-OI; Beyond EPICA - Oldest Ice; DEPTH, ice/snow; Ice age; Ice age, uncertainty; Million Year Ice Core drill site; MULT; Multiple investigations; MYIC_site; Thinning function; Velocity, vertical
    Type: Dataset
    Format: text/tab-separated-values, 5268 data points
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  • 25
    Publication Date: 2024-05-01
    Description: Raw major element oxide data for volcanic events analysed from two proximal sites from Iceland across the period 750-940 CE. Tephra (ash) samples were taken from soil outcrops in Iceland [Atley, 63.67295°N/18.68231°W; Quarry Hafid, 64.054°N/19.786°W] for candidate events and this material was analysed using electron probe micro-analysis (EPMA) at the University of Bern, Switzerland. The location of the outcrop, sample depth, raw oxide values, and correlating horizon are provided.
    Keywords: Aluminium oxide; Atley; Calcium oxide; Date; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Electron Probe Microanalysis (EPMA); Event label; Geochemistry; Greenland; Ice core; Iceland; Iron oxide, FeO; Laboratory; Latitude of event; Longitude of event; Magnesium oxide; Manganese oxide; Oxides, total; Phosphorus pentoxide; Potassium oxide; Quarry_Hafid; Sample ID; Silicon dioxide; Site; Sodium oxide; Soil outcrop; Tephra; Tephra correlative; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 2682 data points
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  • 26
    Publication Date: 2024-05-01
    Description: Raw Trace element data of analysed proximal samples from Iceland across the period 751-763 CE. Tephra (ash) samples were taken from a soil outcrop in Iceland [Atley, Iceland; 63.67295°N/18.68231°W] for candidate events. Trace element data was obtained by LA-ICP-MS at the University of St Andrews using a beam diameter of 20µm, laser energy of 3.5 J cm-2 (4 Hz repetition rate), 30-s ablation time and 20-s background measurement.
    Keywords: Atley; Barium; Cerium; Date; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dysprosium; Erbium; Europium; Event label; Gadolinium; Geochemistry; Greenland; Hafnium; Holmium; Ice core; Iceland; Laboratory; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; Lanthanum; Latitude of event; Lead; Longitude of event; Lutetium; Neodymium; Niobium; Praseodymium; Rubidium; Samarium; Sample ID; Site; Soil outcrop; Strontium; Tantalum; Tephra; Tephra correlative; Terbium; Thorium; Thulium; Uranium; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 5664 data points
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  • 27
    Publication Date: 2024-05-01
    Description: Secondary Standards of Cannetto Lami Lava, Lipari and BCR-2Ga for major element oxide tephra glass analyses obtained across the period 750-940 CE. Data was obtained using electron probe micro-analysis (EPMA) at the University of Bern, Switzerland, Queen's University Belfast, UK, and University of Edinburgh, UK.
    Keywords: Accelerating voltage; Aluminium oxide; Beam current; Beam size; Calcium oxide; Chlorine; Date; Electron Probe Microanalysis (EPMA); Geochemistry; Greenland; Ice core; Iceland; Identification; Iron oxide, FeO; Laboratory; Magnesium oxide; Manganese oxide; Oxides, total; Phosphorus pentoxide; Potassium oxide; Silicon dioxide; Sodium oxide; Standard; Tephra; Titanium dioxide
    Type: Dataset
    Format: text/tab-separated-values, 3411 data points
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  • 28
    Publication Date: 2024-05-01
    Description: Secondary Standards of Old Crow, Sheep Track, ML3B, NIST610, and T1G for Trace element glass analyses obtained across the period 751-763 CE. Analyses were obtained by LA-ICP-MS at the University of St Andrews, UK.
    Keywords: Barium; Beam size; Caesium; Cerium; Date; Dysprosium; Energy, laser; Erbium; Europium; Gadolinium; Geochemistry; Greenland; Hafnium; Holmium; Ice core; Iceland; Identification; Laboratory; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; Lanthanum; Lead; Lutetium; Neodymium; Niobium; Praseodymium; Repetition rate; Rubidium; Samarium; Standard; Strontium; Tantalum; Tephra; Terbium; Thorium; Thulium; Time, ablation; Time, background measurement; Uranium; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 3710 data points
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  • 29
    Publication Date: 2024-05-01
    Description: Raw Trace element data of analysed ice core samples from B19 [78.00°N/36.40°W] and TUNU2013 [78.04°N/33.88°W] ice cores (Greenland) across the period 751-763 CE. Trace element data was obtained by LA-ICP-MS at the University of St Andrews, UK using a beam diameter of 20µm, laser energy of 3.5 J cm-2 (4 Hz repetition rate), 30-s ablation time and 20-s background measurement.
    Keywords: B19; Barium; Cerium; Date; DEPTH, ice/snow; Depth, ice/snow, bottom/maximum; Depth, ice/snow, top/minimum; Dysprosium; Erbium; Europium; Event label; Gadolinium; Geochemistry; Greenland; Hafnium; Holmium; Ice core; ICEDRILL; Ice drill; Iceland; Laboratory; LA-ICP-MS, Laser-ablation inductively coupled plasma mass spectrometer; Lanthanum; Latitude of event; Lead; Longitude of event; Lutetium; Neodymium; ngt19C93.2; Niobium; NorthGreenlandTraverse; Praseodymium; Rubidium; Samarium; Sample ID; Sampling/drilling from ice; Strontium; Tantalum; Tephra; Tephra correlative; Terbium; Thorium; Thulium; Tunu13; TUNU2013; Uranium; Ytterbium; Yttrium; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1665 data points
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  • 30
    Publication Date: 2024-05-01
    Description: The Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition took place between October 2019 and September 2020 giving the rare opportunity to monitor sea-ice properties over a full annual cycle. Here we present 24 high-resolution orthomosaics and 14 photogrammetric digital elevation models of the sea-ice surface around the icebreaker RV Polarstern between March and September 2020. The dataset is based on 〉34.000 images acquired by a helicopter-borne optical camera system with survey flights covering areas between 1.8 and 96.5 km2 around the vessel. Depending on the flight pattern and altitude of the helicopter, ground resolutions of the orthomosaics range between 0.03 and 0.5 m. By combining the photogrammetric products with contemporaneously acquired airborne laser scanner reflectance measurements selected orthomosaics could be corrected for cloud shadows which facilitates their usage for sea-ice and melt pond classification algorithms. The presented dataset is a valuable data source for the interdisciplinary MOSAiC community building a temporal and spatially resolved baseline to accompany various remote sensing and in situ research projects.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 31
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    Cambridge University Press (CUP)
    In:  EPIC3Annals of Glaciology, Cambridge University Press (CUP), pp. 1-11, ISSN: 0260-3055
    Publication Date: 2024-05-01
    Description: Snow cover on sea ice poses a challenge for radar measurements as microwave penetration into snow is not yet fully understood. In this study, the aim is to investigate microwave penetration into snow on Arctic sea ice using commercial C (6 GHz) and K (26 GHz) band tank radars. Nadir-looking radar measurements collected at nine study locations over first-year and multiyear landfast sea ice in the Lincoln Sea in May 2018 are analysed together with detailed measurements of the physical properties of the snow cover to determine the dominant scattering horizons at both frequencies. They are evaluated for the feasibility to determine snow depth. The results show that in 39% of the measurements and only on first-year ice a major fraction of the C band radar backscatter originated closer to the snow–ice interface potentially enabling snow depth retrieval. At K band, 81% of the radar returns originated from the snow surface. Partly confirming the findings of previous studies, however, the analysis was potentially hampered by relatively warm air temperatures (up to −0.9◦C) during the study period as well as stratigraphic features and inconclusive microwave interaction with the saline basal layers found in the snow cover on first-year ice.
    Repository Name: EPIC Alfred Wegener Institut
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  • 32
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    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research - Oceans, American Geophysical Union (AGU), 128(2), ISSN: 2169-9275
    Publication Date: 2024-05-01
    Description: We present a 700 km airborne electromagnetic survey of late-spring fast ice and sub-ice platelet layer (SIPL) thickness distributions from McMurdo Sound to Cape Adare, providing a first-time inventory of fast ice thickness close to its annual maximum. The overall mode of the consolidated ice (including snow) thickness was 1.9 m, less than its mean of 2.6 ± 1.0 m. Our survey was partitioned into level and rough ice, and SIPL thickness was estimated under level ice. Although level ice, with a mode of 2.0 m and mean of 2.0 ± 0.6 m, was prevalent, rough ice occupied 41% of the transect by length, 50% by volume, and had a mode of 3.3 m and mean of 3.2 ± 1.2 m. The thickest 10% of rough ice was almost 6 m on average, inclusive of a 2 km segment thicker than 8 m in Moubray Bay. The thickest ice occurred predominantly along the northwestern Ross Sea, due to compaction against the coast. The adjacent pack ice was thinner (by ∼1 m) than the first-year fast ice. In Silverfish Bay, offshore Hells Gate Ice Shelf, New Harbor, and Granite Harbor, the SIPL transect volume was a significant fraction (0.30) of the consolidated ice volume. The thickest 10% of SIPLs averaged nearly 3 m thick, and near Hells Gate Ice Shelf the SIPL was almost 10 m thick, implying vigorous heat loss to the ocean (∼90 W m −2). We conclude that polynya-induced ice deformation and interaction with continental ice influence fast ice thickness in the western Ross Sea.
    Repository Name: EPIC Alfred Wegener Institut
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  • 33
    Publication Date: 2024-05-01
    Description: Leads and fractures in sea ice play a crucial role in the heat and gas exchange between the ocean and atmosphere, impacting atmospheric, ecological, and oceanic processes. We estimated lead fractions from high-resolution divergence obtained from satellite synthetic aperture radar (SAR) data and evaluated them against existing lead products. We derived two new lead fraction products from divergence with a spatial resolution of 700mcalculated from daily Sentinel-1 images. For the first lead product, we advected and accumulated the lead fractions of individual time nstances. With those accumulated divergence-derived lead fractions, we comprehensively described the presence of up to 10 d old leads and analyzed their deformation history. For the second lead product, we used only divergence pixels that were identified as part of linear kinematic features (LKFs). Both new lead products accurately captured the formation of new leads with widths of up to a few hundred meters. We resented a Lagrangian time series of the divergence-based lead fractions along the drift of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the central Arctic Ocean during winter 2019–2020. Lead activity was high in fall and spring, consistent with wind forcing and ice pack consolidation. At larger scales of 50–150 km around the MOSAiC expedition, lead activity on all scales was similar, but differences emerged at smaller scales (10 km). We compared our lead products with six others from satellite and airborne sources, including classified SAR, thermal infrared, microwave radiometer, and altimeter data. We found that the mean lead fractions varied by 1 order of magnitude across different lead products due to different physical lead and sea ice properties observed by the sensors and methodological factors such as spatial resolution. Thus, the choice of lead product should align with the specific application.
    Repository Name: EPIC Alfred Wegener Institut
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  • 34
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    University of Tokyo, Atmosphere and Ocean Research Institute | Tokyo, Japan
    Publication Date: 2024-05-01
    Description: Seafloor journey around methane seeps
    Description: Published
    Keywords: Methane ; Seeps ; COESS Project
    Repository Name: AquaDocs
    Type: Images/Video
    Format: 1.46 mins
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  • 35
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    Eco e Mare de Ciencia
    Publication Date: 2024-05-01
    Description: O OCEANO QUE PRECISAMOS PARA O FUTURO QUE QUEREMOS Este é o slogan usado pelas Nações Unidas (ONU) para sensibilização em campanha da Década da ONU de Ciência Oceânica para o Desenvolvimento Sustentável, também co- nhecida como Década do Oceano. Você já ou- viu falar? A Década foi declarada pelas Nações Unidas em 2017 e está sendo implementada de 2021 até 2030, com o objetivo de ser um período que deixe o assunto sempre em evidência, ga- rantindo que a ciência oceânica possa apoiar os países na implementação da Agenda 2030 para o desenvolvimento sustentável. Sabe quando os profissionais da escola se únem antes do início das aulas (o famoso pla- nejamento anual), para fazer uma espécie de intensivão para alinhar as metas, estratégias e “deixar a casa em ordem”? É basicamente para isso que foi instituída a Década do Oceano, resumindo de forma bem simples. É um jeito simbólico de incentivar que toda a sociedade se una, durante dez anos, para promover a conservação do oceano e a gestão dos recursos naturais de zonas costeiras. Dessa forma, o planeta pode atingir os Objetivos de Desenvolvimento Sustentável (ODS). À primeira vista, isso tudo pode parecer um tema muito complexo e de competência ape- nas de governos e cúpulas internacionais. Mas, enquanto as decisões são tomadas em escala global, é no local, na nossa prática, que as ações tomam vida. As pequenas ações do cotidiano podem fazer uma grande diferença, especialmente quando falamos do ambien- te escolar, um dos espaços mais importantes para formar gerações de cidadãos e transfor- mar o mundo em um lugar melhor, não acha? Este ebook traz, resumidamente, um guia dos primeiros passos a se dar para incentivar a cul- tura oceânica na sua escola, dando uma mão para você e sua comunidade fazerem parte desse movimento.
    Description: Published
    Keywords: Ocean literacy ; Schools
    Repository Name: AquaDocs
    Type: Other
    Format: 28pp.
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  • 36
    Publication Date: 2024-05-01
    Description: Healthy oceans are essential for life, but a mere 2.9% are fully protected1. The question then arises - why is ocean protection so challenging? Among the many reasons is the economic allure of extractive activities which poses a barrier to alleviating human pressure on ocean areas. Marine protected areas (MPAs), primarily designed to preserve biodiversity, are often rationalized through a business lens and are expected to yield revenue by increasing tourists’ willingness to pay. However, MPAs are not business entities and require a set of enabling conditions to successfully reach their goals. In a successful marine protected area, a unit increase in natural capital results in a rise in tourist revenue. We developed a bioeconomic model to show how fully protecting diving sites can significantly enhance nature’s recovery and lead to larger revenues for the scuba diving industry. In Mexico, scuba diving generates as much revenue as the fishing industry, yet only 7% of the country’s diving sites are fully protected. Globally, the scuba diving industry generates up to $20 billion dollars per year, even though about half of the diving sites worldwide lack protection. Using global experiences, we designed a five-step bottom-up approach that scuba diving operators can use to amplify marine protection. This approach could catalyze the creation of stricter or new fullyprotected areas designed to incorporate existing businesses - a significant departure from the traditional business framework. The Atlas Aquatica initiative advocates for a significant shift in narrative to stimulate broader acceptance of marine protection worldwide. We aim to contribute to a sustainable blue economic growth and the 30x30 conservation target by promoting the protection of diving sites globally
    Description: Scripps Institution of Oceanography and Centro para la Biodiversidad Marina y la Conservación A.C.
    Description: Published
    Description: Not Known
    Keywords: Blue Economy ; Marine ecosystems
    Repository Name: AquaDocs
    Type: Report
    Format: 18pp.
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  • 37
    Publication Date: 2024-05-01
    Description: Cidade Azul é aquela que promove a sustentabilidade - social, ambiental, econômica, cultural e em sua governança - integrando políticas públicas e ações de cidadãos e instituições com o oceano. Portanto, ser uma cidade azul é fortalecer a relação da sustentabilidade com o oceano! E não importa a distância do mar, mesmo cidades do interior podem, e devem, ser azuis. A cultura oceânica é definida como o “entendimento da influência do oceano em nossas vidas e de nossas ações no oceano”, no qual “nós” corresponde a indivíduos e instituições, sejam elas públicas ou privadas. Ela é feita com todos os diferentes setores da sociedade, considerando suas especificidades locais e de forma integrada e colaborativa. É importante pontuar que este documento não traz uma fórmula única ou guia para uma Cidade Azul, pois cada cidade possui sua realidade social, cultural, ambiental, econômica e de infraestrutura política e administrativa. Este documento também não busca iniciar ou trazer novas demandas, mas sim inserir uma lente azul nas iniciativas, projetos e ações já realizadas ou em andamento, valorizando e ampliando o impacto destas ações. Aqui, você vai encontrar estratégias divididas em sete esferas principais - educação, economia azul sustentável, turismo, adaptação, água e saneamento, saúde e bem- estar e conservação - que podem ser adotadas de forma conjunta ou individualmente. Todas elas dialogam e ajudam seu município a alcançar os Objetivos de Desenvolvimento Sustentável da Agenda 2030, além de responder aos Desafios da Década da Ciência Oceânica para o Desenvolvimento Sustentável (2021 - 2030). Tomadores de decisão, servidores públicos dos municípios e Estados, este é um convite e oportunidade para discutir, adaptar e aplicar os caminhos aqui apresentados e, assim, construir sua cidade azul.
    Description: Published
    Description: Refereed
    Repository Name: AquaDocs
    Type: Report
    Format: 17pp.
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  • 38
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    British Council
    Publication Date: 2024-05-01
    Description: A valorização de talentos e o empoderamento para indivíduos atingirem o seu potencial perpassa diferentes momentos da vida e abrange diferentes esferas sociais. O respeito à diversidade e a identificação de estratégias para facilitar acesso e oportunidade é um pilar fundamental para avançar num modelo de sociedade que visa o desenvolvimento sustentável nas esferas econômica, social, ambiental e humana. O programa Mulheres na Ciência (Women in STEM) do British Council surge como uma dessas estratégias, para contribuir com o universo de mulheres e meninas nas áreas STEM (sigla em inglês para ciência, tecnologia, engenharia e matemática)...
    Description: Published
    Description: Not Known
    Keywords: Women in science
    Repository Name: AquaDocs
    Type: Report
    Format: 46pp.
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  • 39
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    Unknown
    Academia Brasileira Da Vela Educativa
    Publication Date: 2024-05-01
    Description: Unpublished
    Description: Not Known
    Repository Name: AquaDocs
    Type: Conference Material
    Format: 12pp.
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  • 40
    Publication Date: 2024-05-01
    Description: The NESP Marine Biodiversity Hub (2015-2021) delivered a project that developed and progressed the adoption of nine national standards for marine survey design and sampling (field-manuals-marine-sampling-monitor-australian-waters). The project was a success, with 136 individuals from 53 organisations contributing to what is colloquially known as the SOPs (standard operating procedures). The SOPs are now considered best practices, being adopted at State, Commonwealth, and international levels by a range of users, including industry and in developing nations. Without taking the next steps and establishing national and long-term governance and application guidance, the SOPs run the risk of becoming outdated and being no longer fit-for-purpose as related to national marine monitoring objectives for key values and pressures. The first step in the development of a future framework for national marine standards is to solicit input from the marine science community about their needs. As such, we coordinated a workshop and questionnaire to collect this information (Advancing National Ocean Best Practices and Standards). The aims of the online workshop and questionnaire were: ● To improve the uptake and applicability of the national marine standard operating procedures (SOPs) and other best practices across diverse users; and ● To guide further actions on the development of future SOPs and how they are used. The workshop had 46 attendees, while the questionnaire had 47 respondents, both predominantly represented by people from Australia. High-level barriers to uptake of the SOPs were related to funding, awareness, training, content, and institutional support. Workshop participants also identified operational barriers and potential solutions. Importantly, there was consensus to continue the SOP program in the long-term, including the possible inclusion of methods, guides, and practices outside of NESP. Feedback from workshop participants and questionnaire participants was summarised into the following broad recommendations: ● Develop new SOPs, including those currently planned for NESP 2.2 (drop cameras, socioeconomic surveys, microplastics) as well as SOPs related to eDNA, drones, sub-bottom profiling, threatened and protected species, and underwater visual census ● Develop revised SOPs to provide clearer or more specific data release guidelines, updated guidelines regarding Indigenous partnerships, engagement and Indigenous Cultural Intellectual Property, glossary or list of standardised terminology and case studies to highlight diversity of users and objectives. ● Increase relevance to other user groups, particularly First Nations, by understanding the needs, preferences and capabilities of these groups and using this information to tailor existing SOPs or develop new ones as required. ● Establish an oversight committee to develop and implement a national best practice endorsement process; identify the need for new and revised SOPs, facilitate accessibility and uptake of SOPs, and track uptake and impact. The input described in this report will be used in a 2024 implementation plan to guide the future of the SOP program.
    Description: Published
    Description: Refereed
    Repository Name: AquaDocs
    Type: Report
    Format: 41pp.
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  • 41
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    Unknown
    Second Institute of Oceanography, MNR | China
    Publication Date: 2024-05-01
    Description: The proposed project will make contributions to marine natural disaster prevention of countries in the Indo-Pacific region. The project will have major focus on education and intelligent collaborations among young scientists. There will be summer course being offered to students from all participating institutions every year, together with personnel exchange program. The technology for developing regional physical-biological modeling will be introduced and the operational forecasting systems for regional environments are expected to be developed in the coastal regions along the Indian and western Pacific Ocean.
    Description: Unpublished
    Repository Name: AquaDocs
    Type: Other
    Format: Poster
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  • 42
    Publication Date: 2024-05-01
    Description: Given the go ahead, deep-sea mining operations are likely to continue for decades on a substantial spatial scale and the resulting sediment plumes combined, are likely to extend beyond the licenced mining areas, and could lead to the chronic exposure of deep-sea organisms to a mixture of metals, even mobile species, such as fish, that could conceivably display avoidance behaviour. The metal concentrations, often substantially below lethal doses, mean that individual mortality is too blunt a measure to allow assessment of “serious harm”. Commonly used cellular biomarkers of exposure in ecotoxicology include DNA damage using the Comet assay. True deep-sea ecotoxicological studies with fish are rare and to our knowledge, there are no published data or method optimizations for deep-sea fish. Coryphaenoides ssp. were collected during SMARTEX expedition 1 (Feb/Mar, 2023) to the Clarion Clipperton Zone (CCZ) in the Eastern Pacific Ocean using a baited trap deployed between 4580–4,732m depth for 24–48 h. Blood and gill tissue were removed and processed for the Comet assay. In order to reduce artefactual DNA damage from cryopreservation observed previously, two sets of samples were prepared: a cryopreservative (10% DMSO) was added to one set of samples and stored at − 80 ◦C; the second set was used to perform a Comet assay within hours of collection. A custom-built gimble table enabled horizontal electrophoresis at sea after which Comet assay slides were dried and stored at room temperature until further analysis. The Comet assay was also assessed in freshly sampled and frozen rainbow trout cells as a proxy control in order to evaluate potential artefacts from the collection and sampling procedure of the deep-sea fish. The blood samples processed at sea had a significantly reduced level of DNA damage compared to the frozen samples. There was no significant difference between the fresh deep-sea and rainbow trout samples. However, the freshly prepared gill samples in Coryphaenoides ssp. showed substantial artefacts, possibly as a consequence of barotrauma. These results represent the first effort at establishing baseline DNA damage data for deep-sea fish, an essential component in understating and quantifying the impact of deep-sea mining.
    Description: Published
    Description: Refereed
    Keywords: Ecotoxicology ; DNA damage ; Genotoxicology ; Biomarker
    Repository Name: AquaDocs
    Type: Journal Contribution
    Format: 8pp.
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  • 43
    Publication Date: 2024-05-01
    Description: Despite the intensifying interest in flash drought both within the United States and globally, moist tropical landscapes have largely escaped the attention of the flash drought community. Because these ecozones are acclimatized to receiving regular, near-daily precipitation, they are especially vulnerable to rapid-drying events. This is particularly true within the Caribbean Sea basin where numerous small islands lack the surface and groundwater resources to cope with swiftly developing drought conditions. This study fills the tropical flash drought gap by examining the pervasiveness of flash drought across the pan-Caribbean region using a recently proposed criterion based on the evaporative demand drought index (EDDI). The EDDI identifies 46 instances of widespread flash drought “outbreaks” in which significant fractions of the pan-Caribbean encounter rapid drying over 15 days and then maintain this condition for another 15 days. Moreover, a self-organizing maps (SOM) classification reveals a tendency for flash drought to assume recurring typologies concentrated in one of the Central American, South American, or Greater Antilles coastlines, although a simultaneous, Caribbean-wide drought is never observed within the 40-yr (1981–2020) period examined. Furthermore, three of the six flash drought typol- ogies identified by the SOM initiate most often during Phase 2 of the Madden–Julian oscillation. Collectively, these find- ings motivate the need to more critically examine the transferability of flash drought definitions into the global tropics, particularly for small water-vulnerable islands where even island-wide flash droughts may only occupy a few pixels in most reanalysis datasets.
    Description: Published
    Description: Refereed
    Repository Name: AquaDocs
    Type: Journal Contribution
    Format: pp.2177-2189
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  • 44
    Publication Date: 2024-05-01
    Description: Hypoxia (O2 〈 2 mg/L) driven by eutrophication in estuaries and shelves is a worldwide expanding problem. The role of organic matter (OM) inputs is emerging as an important contributor to this issue, beside the well-known implication of inorganic nutrients. The St. Lawrence Estuary, one of the largest and deepest estuarine system in the world is facing strong persistent and increasing hypoxia. In this context, transport and exchange of particulate and dissolved organic matter (POM and DOM, respectively) were investigated as a first step to understand their implication in hypoxia. Tributaries and Gulf contributions were compared to St. Lawrence Estuary inventories for the spring freshet (May), the summer low-flow (August), and the fall-mixing (October). Furthermore, changes in OM ratios were examined along the estuarine gradient from the upper St. Lawrence Estuary (USLE), downstream of the maximum turbidity zone, to the lower estuary (LSLE). For the USLE, net transport was always positive and net export/loading ratios suggested that 64–90% of POM and 30–63% of DOM were either retained or transformed during its course from tributaries to LSLE. Net transport from the USLE toward the LSLE was 3–13 fold more important in May than in August or October. For the LSLE, net transport to the Gulf was generally negative meaning that OM production was the dominating proces. The extremely high net export/loading ratios in August indicate that POM production was 28.8 to 41.4 times the combined inputs of tributaries and Gulf. Net export/loading ratios remained superior to one during May and October (1.7–9.4) for the LSLE. Changes along the upstream–downstream continuum were seen for POM, with a steady increase relative to total suspended matter from 7.3% to 50.2%, but they were not observed for DOM, for which no obvious trends were detected. Our results highlight the importance of explicitly considering OM in eutrophication monitoring programs of the St. Lawrence Estuary, as the mineralisation of a portion of the large OM pool size could influence our understanding of hypoxia and acidification of the deep waters of LSLE.
    Description: Published
    Description: Refereed
    Keywords: Organic matter ; Rverine loads ; Carbon ; Nirogen
    Repository Name: AquaDocs
    Type: Journal Contribution
    Format: 21pp.
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  • 45
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    Unknown
    All-Atlantic Blue Schools Network | Santos, Brazil
    Publication Date: 2024-05-01
    Description: The All-Atlantic Blue Schools Network (AA-BSN) is a remarkable network implemented under the All-Atlantic Ocean Research and Innovation Alliance. It has really embraced the spirit of this science diplomacy process: Connect, Act and Collaborate. It started from an idea back in 2019 when several Ocean Literacy experts from along and across the Atlantic Ocean got together in scope of the AANChOR project, funded to implement the Belem Statement. It builds on the experience of the Blue School in Portugal and the AAORA Working Group on Ocean Literacy in scope of the Galway Statement. With 16 Atlantic countries engaged (as of January 2023), 28 National coordinators from 18 institutions, 455 schools reached, 125 178 students and 3 458 teachers engaged it is truly an example of the desire of the All-Atlantic Ocean Literacy community to get together, to effectively act through a very specific collaboration opportunity and to impact tomorrow’s generation! By connecting schools from Atlantic countries to raise and promote ocean literacy and society awareness AA-BSN is contributing to European, National and International strategies. The bottom-up process where each school builds its own project based on its socio-cultural-economic reality is, in my opinion, the basis for the success of AA-BSN. And imagine… all that was possible in less than two years and with a pandemic period in between. AA-BSN is really an inspiring joint activity from the Atlantic Ocean Literacy community! Congratulation to all the team and those engaged. Well done!
    Description: Published
    Description: Not Known
    Keywords: Ocean literacy ; AANChOR ; Schools ; Education
    Repository Name: AquaDocs
    Type: Report
    Format: 77pp.
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  • 46
    Publication Date: 2024-05-01
    Description: Research in the last few decades has revealed that rapidly ascending airstreams in extratropical cyclones – socalled warm conveyor belts (WCBs) – play an important role in extratropical atmospheric dynamics. However on the subseasonal timescale, the modulation of their occurrence frequency, henceforth referred to as WCB activity, has so far received little attention. Also, it is not yet clear whether WCB activity may affect tropospheric teleconnection patterns, which constitute a source of predictability on this subseasonal timescale. Using reanalysis data, this study analyzes the modulation of WCB activity by the Madden–Julian Oscillation (MJO). A key finding is that WCB activity increases significantly over the western North Pacific when the convection of the MJO is located over the Indian Ocean. This increased WCB activity, which is stronger during La Niña conditions, is related to enhanced poleward moisture fluxes driven by the circulation of subtropical Rossby gyres associated with the MJO. In contrast, when the convection of the MJO is located over the western North Pacific, WCB activity increases significantly over the eastern North Pacific. This increase stems from a southward shift and eastward extension of the North Pacific jet stream. However, while these mean increases are significant, individual MJO events exhibit substantial variability, with some events even exhibiting anomalously low WCB activity. Individual events of the same MJO phase with anomalously low WCB activity over the North Pacific tend to be followed by the known canonical teleconnection patterns in the Atlantic–European region; i.e., the occurrence frequency of the positive phase of the North Atlantic Oscillation (NAO) is enhanced when convection of the MJO is located over the Indian Ocean and similarly for the negative phase of the NAO when MJO convection is over the western North Pacific. However, the canonical teleconnection patterns are modified when individual events of the same MJO phase are accompanied by anomalously high WCB activity over the North Pacific. In particular, the link between MJO and the negative phase of the NAO weakens considerably. Reanalysis data and experiments with an idealized general circulation model reveal that this is related to anomalous ridge building over western North America favored by enhanced WCB activity. Overall, our study highlights the potential role of WCBs in shaping tropical–extratropical teleconnection patterns and underlines the importance of representing them adequately in numerical weather prediction models in order to fully exploit the sources of predictability emerging from the tropics.
    Description: Published
    Description: Refereed
    Repository Name: AquaDocs
    Type: Journal Contribution
    Format: pp.65-85
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  • 47
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    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 132-162
    Publication Date: 2024-05-01
    Description: Species of Diaporthe (syn. Phomopsis) are important endophytes, saprobes and pathogens, infecting a wide range of plants and resulting in important crop diseases. However, the species occurring on pear remain largely unresolved. In this study, a total of 453 Diaporthe isolates were obtained from branches of Pyrus plants (including P. bretschneideri, P. communis, P. pyrifolia and P. ussuriensis collected from 12 provinces in China) showing shoot canker symptoms. Phylogenetic analyses based on five loci (ITS, TEF, CAL, HIS, and TUB) coupled with morphology of 113 representative isolates revealed that 19 Diaporthe species were isolated, representing 13 known species (including D. caryae, D. cercidis, D. citrichinensis, D. eres, D. fusicola, D. ganjae, D. hongkongensis, D. padina, D. pescicola, D. sojae, D. taoicola, D. unshiuensis and D. velutina) and six new species described here as D. acuta, D. chongqingensis, D. fulvicolor, D. parvae, D. spinosa and D. zaobaisu. Although Koch’s postulates confirmed all species to be pathogenic, a high degree of variation in aggressiveness was observed. Moreover, these species have a high diversity, plasticity, and prevalence related to the geographical location and pear species involved.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; multi-gene phylogeny ; pathogenicity ; Pyrus ; six new taxa ; taxonomy
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 48
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    Unknown
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 68-100
    Publication Date: 2024-05-01
    Description: Gymnosporangium species (Pucciniaceae, Pucciniales, Basidiomycota) are the causal agents of cedarapple rust diseases, which can lead to significant economic losses to apple cultivars. Currently, the genus contains 17 described species that alternate between spermogonial/aecial stages on Malus species and telial stages on Juniperus or Chamaecyparis species, although these have yet to receive a modern systematic treatment. Furthermore, prior studies have shown that Gymnosporangium does not belong to the Pucciniaceae sensu stricto (s.str.), nor is it allied to any currently defined rust family. In this study we examine the phylogenetic placement of the genus Gymnosporangium. We also delineate interspecific boundaries of the Gymnosporangium species on Malus based on phylogenies inferred from concatenated data of rDNA SSU, ITS and LSU and the holomorphic morphology of the entire life cycle. Based on these results, we propose a new family, Gymnosporangiaceae, to accommodate the genus Gymnosporangium, and recognize 22 Gymnosporangium species parasitic on Malus species, of which G. lachrymiforme, G. shennongjiaense, G. spinulosum, G. tiankengense and G. kanas are new. Typification of G. asiaticum, G. fenzelianum, G. juniperi-virginianae, G. libocedri, G. nelsonii, G. nidus-avis and G. yamadae are proposed to stabilize the use of names. Morphological and molecular data from type materials of 14 Gymnosporangium species are provided. Finally, morphological characteristics, host alternation and geographical distribution data are provided for each Gymnosporangium species on Malus.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; Apple rust ; host alternation ; new taxa ; species delimitation
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 49
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    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Description: This is a compilation of all short-wave and long-wave radiation datasets from Ny-Ålesund that were and are published in the frame of BSRN. New data will be added regularly. The data are subject to the data release guidelines of BSRN (https://bsrn.awi.de/data/conditions-of-data-release/).
    Keywords: Baseline Surface Radiation Network; BSRN
    Type: Dataset
    Format: application/zip, 215 datasets
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  • 50
    Publication Date: 2024-04-30
    Description: This dataset includes stable iron isotope data (δ56Fe ) of dissolved iron (Fe) as well as for sequentially extracted Fe pools of sediment cores that were retrieved from Site C0023 (Hole A) during International Ocean Discovery Program (IODP) Expedition 370 in the Nankai Trough offshore Japan in the Pacific Ocean (Drilling vessel Chikyu). Site C0023 was established on 17 September 2016. Coring terminated on 3 November 2016. Furthermore, the dataset comprises solid-phase data of discrete ash layers from Site C0023. The solid-phase data include bulk aluminum (Al), titanium (Ti) and Fe contents, sequentially extracted Fe contents as well as stable Fe isotope data for the sequentially extracted Fe pools.
    Keywords: Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 51
    Publication Date: 2024-04-30
    Description: The dataset includes solid-phase geochemistry data of sediment cores from Site C0023 (Hole A) that was recovered during International Ocean Discovery Program (IODP) Expedition 370 in the Nankai Trough offshore Japan in the Pacific Ocean (Drilling vessel Chikyu). Site C0023 was established on 17 September 2016. Coring terminated on 3 November 2016. Solid-phase geochemistry data include bulk iron (Fe), sulfur (S) and aluminum (Al) contents, chromium reducible sulfur (CRS) as well as algal lipid biomarker concentrations and stable carbon isotopes of total organic carbon (δ13C-TOC). The bulk element contents were determined by performing total acid digestions (dissolution of dry sediment in a mixture of 65% HNO3 (3 ml), 30% HCl (2 ml), and 40% suprapur® HF (0.5 ml) in a CEM Mars Xpress microwave system). Sequential iron extractions were performed after Poulton and Canfield (2005) and Henkel et al. (2016) to quantify the reactive iron pools (Fe aca, sodium acetate extraction; Fe hyam, hydroxylamine-HCl extraction; Fe di-ct, sodium dithionite/sodium citrate extraction; Fe oxa, oxalate/oxalic acid extraction). We further determined the amounts of Al (Al aca, Al hyam, Al di-ct, Al oxa) and silicon (Si; Si aca, Si hyam, Si di-ct, Si oxa) released by the different extraction steps for a selection of samples. All elemental contents (except for CRS) were measured by inductively coupled plasma – optical emission spectroscopy (ICP-OES; iCAP 7400, Thermo Fisher Scientific Inc.). CRS was extracted using a CrCl2 solution after Canfield et al. (1986) and Zhabina & Volkov (1978). All values are given in wt%. Algal lipid biomarker analysis was performed after Sturt et al. (2004) and HPLC-MS analyses after Becker et al. (2015). Biomarker concentrations are reported as the integrated peak area of the sum of all detected diols normalized to kg extracted sediment (PA/kg). Stable carbon isotopes of total organic carbon measurement occurred on an EA-IRMS system after complete decalcification of homogenized sediment samples with 10% HCl. The δ13C-TOC values are expressed relative to VPDB (Vienna Pee Dee Belemnite).
    Keywords: Hole A; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Expedition 370; Nankai Trough; Site C0023
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 52
    Publication Date: 2024-04-30
    Keywords: Age, mineral; Amo; Area/locality; Australia; Barite; Barite-Valley; Continental crust; Dharwar; Dresser-FM; Event label; India; Londozi; Morphology; MULT; Multiple investigations; Oxygen isotopes; Paleoarchean; Reference/source; Sample ID; seawater; South Africa; Stentor; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; strontium isotopes; Sulfur isotopes; Swaziland; Vergelegen; Weathering; Δ33S; Δ33S, standard deviation; δ18O, barite; δ18O, standard deviation; δ34S, barite; δ34S, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 599 data points
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  • 53
    Publication Date: 2024-04-30
    Description: This data product contains dissolved silicon concentrations and isotopic composition, major ion concentrations and discharge for streams in Potter Peninsula, King George Island and Commonwealth Stream, McMurdo Dry Valleys, Antarctica.
    Keywords: Antarctica; Calcium; Chloride; CommonwealthStreamGauge; CommonwealthStreamMouth; DATE/TIME; Day of the year; Discharge; Event label; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; LATITUDE; LONGITUDE; Magnesium; Potassium; PotterPeninsula_W19; PotterPeninsula_W20; PotterPeninsula_W21; PotterPeninsula_W22; PotterPeninsula_W23; PotterPeninsula_W24; PotterPeninsula_W25; PotterPeninsula_W35; PotterPeninsula_W39; PotterPeninsula_W40; PotterPeninsula_W41; PotterPeninsula_W45; PotterPeninsula_W49; PotterPeninsula_W50; Potter Peninsula, King George Island, Western Antarctica; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; Ratio; Sample code/label; Silicon; Silicon Isotope Geochemistry; Site; Sodium; SPP1158; Stream Weathering; Subglacial Weathering; Sulfate; Water sample; WS; δ30Si, error; δ30Si, silicon dissolved
    Type: Dataset
    Format: text/tab-separated-values, 608 data points
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  • 54
    Publication Date: 2024-04-30
    Description: This is a dataset that has been acquired in 1995 as part of the U.S.-ROC Deep Seismic Imaging Study of the Taiwan Arc-Continent Collision (TAICRUST) project. This particular line was measured in the Taiwan Strait in September 1995 to image the shallow sediments and upper crust. Additional information from the Cruise EW9509 is stored at the Marine Geoscience Data System (MGDS).
    Keywords: Binary Object; EW9509; EW9509_Line38; Maurice Ewing; multi-channel seismic reflection; raw data; SEIS; Seismic
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
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  • 55
    Publication Date: 2024-04-30
    Description: International Ocean Discovery Program (IODP) Site U1490 in the Western Pacific Warm Pool (05°48.95ʹN, 142°39.27ʹE, 2341 m water depth) provides the opportunity to directly compare an astronomically tuned benthic foraminiferal isotope cyclostratigraphy with biostratigraphic datums and paleomagnetic reversals over the interval 13.7 to 8.6 Ma as well as to reconstruct the evolution of intermediate-deep water masses across the middle to late Miocene Carbonate Crash. The astronomically tuned delta 18O derived ages for magnetochrons identified between 13.6 and 9.3 Ma during IODP Expedition 363 are in good agreement (mean deviation of 17 ±4 kyr) with ages reported in the Geomagnetic Polarity Time Scale of the Geologic Time Scale (GPTS2020), except over the interval 11.7 to 11.0 Ma that is characterized by poorly defined magnetization. The delta 18O based astrochronology at Site U1490 also closely matches that from Ocean Drilling Program (ODP) Site 1146 in the South China Sea and IODP Site U1443 in the equatorial Indian Ocean, allowing evaluation of middle to late Miocene changes of inter-ocean intermediate to deep water delta 13C gradients on orbital timescales. An increase in the delta 13C gradient between Sites 1146 and U1490 from ~12.4 to 10.4 Ma suggests that changes in Pacific Ocean circulation contributed to carbonate depletion during the Carbonate Crash. After 10.5 Ma, a decrease in the meridional delta 13C gradient between Sites U1490 and 1146 indicates spreading of a more uniform central Pacific intermediate-deep water mass, exhibiting similarity to the equatorial Indian Ocean deep water mass at Site U1443. Improved preservation of thin-walled foraminiferal tests and increases in sedimentation rates and coarse fraction percentages mark the recovery of the marine carbonate system and the onset of the Biogenic Bloom after ~9.3 Ma.
    Keywords: 363-U1490A; 363-U1490B; Age; AGE; Carbonate Crash; CDRILL; Cibicidoides mundulus, δ13C; Cibicidoides mundulus, δ18O; Cibicidoides spp., δ13C; Cibicidoides spp., δ18O; Cibicidoides wuellerstorfi, δ13C; Cibicidoides wuellerstorfi, δ18O; Core drilling; Cyclostratigraphy; Depth, composite; Depth, composite revised; DEPTH, sediment/rock; DSDP/ODP/IODP sample designation; Event label; Exp363; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Joides Resolution; Magnetostratigraphy; Mass spectrometer Finnigan MAT 251; middle to late Miocene; ocean circulation; Sample code/label; Sample comment; Sample mass; Stable isotopes; Western Pacific; West Pacific Warm Pool
    Type: Dataset
    Format: text/tab-separated-values, 5234 data points
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  • 56
    Publication Date: 2024-04-30
    Description: Mesoscale eddies are important for many aspects of the dynamics of the Arctic Ocean. These include the maintenance of the halocline and the Atlantic Water boundary current through lateral eddy fluxes, shelf-basin exchanges, transport of biological material and sea ice, and the modification of the sea-ice distribution. Here we review what is known about the mesoscale variability and its impacts in the Arctic Ocean in the context of an Arctic Ocean responding rapidly to climate change. In addition, we present the first quantification of eddy kinetic energy (EKE) from moored observations across the entire Arctic Ocean, which we compare to output from an eddy resolving numerical model. We show that EKE is largest in the northern Nordic Seas/Fram Strait and it is also elevated along the shelfbreak of the Arctic Circumpolar Boundary Current, especially in the Beaufort Sea. In the central basins it is 100-1000 times lower. Except for the region affected by southward sea-ice export south of Fram Strait, EKE is stronger when sea-ice concentration is low compared to dense ice cover. Areas where conditions typical in the Atlantic and Pacific prevail will increase. Hence, we conclude that the future Arctic Ocean will feature more energetic mesoscale variability. This table provides (eddy) kinetic energy in the Arctic Ocean calculated from moorings and a numerical model across the entire record and averaged over certain conditions (seasons, ice concentration). The calculations are explained in the manuscript (Eddies and the distribution of eddy kinetic energy in the Arctic Ocean). The used mooring data was compiled from six different sources as listed below and identified in the table based on the Source ID.
    Keywords: 250_MOOR; 293-S1_MOOR; 293-X1_MOOR; 293-X2_MOOR; 293-X3_MOOR; 295-S2_MOOR; A01_MOOR; AK1-1_MOOR; AK2-1_MOOR; AK3-1_MOOR; AK4-1_MOOR; AK5-1_MOOR; AK6-1_MOOR; AK7-1_MOOR; Akademik Tryoshnikov; AM1-91_MOOR; AM2-91_MOOR; AO1-92_MOOR; Arctic Ocean; ARK-XIV/2; ARK-XVIII/1; ARK-XXIX/3; ARK-XXX/1.2; ARK-XXX/2, GN05; ARK-XXXI/4; ATWAIN200_MOOR; AWI_PhyOce; AWI401-1_MOOR; AWI402-1_MOOR; AWI403-1_MOOR; AWI403-2_MOOR; AWI404-1_MOOR; AWI406-1_MOOR; AWI410-2_MOOR; AWI411-2_MOOR; AWI412-4_MOOR; AWI413-4_MOOR; AWI415-1_MOOR; AWI416-1_MOOR; AWI417-1_MOOR; AWI418-1_MOOR; BaffinBay_2_MOOR; BaffinBay_MOOR; BarrowSt_81_MOOR; BarrowSt_C_MOOR; BarrowSt_N_MOOR; BarrowSt_S_MOOR; BarrowSt_SC_MOOR; BarrowSt_Ss_MOOR; BG_a_MOOR; BG_b_MOOR; BG_c_MOOR; BG_d_MOOR; BI3_MOOR; BR1_MOOR; BR2_MOOR; BR3_MOOR; BRA_MOOR; BRB_MOOR; BRG_MOOR; BRK_MOOR; BS2_MOOR; BS3_MOOR; BS4_MOOR; BS5_MOOR; BS6_MOOR; BSO1_MOOR; BSO2_MOOR; BSO3_MOOR; BSO4_MOOR; BSO5_MOOR; C1_MOOR; C2_MOOR; C3_MOOR; C4_MOOR; C5_MOOR; C6_MOOR; CA04_MOOR; CA05_MOOR; CA06_MOOR; CA07_MOOR; CA08_MOOR; CA10_MOOR; CA11_MOOR; CA12_MOOR; CA13_MOOR; CA15_MOOR; CA16_MOOR; CA20_MOOR; CM-1_MOOR; CM-2_MOOR; CS1_MOOR; CS-1A_MOOR; CS2_MOOR; CS-2A_MOOR; CS3_MOOR; CS-3A_MOOR; CS4_MOOR; CS5_MOOR; Depth, bottom/max; Depth, top/min; DEPTH, water; DS_TUBE8_MOOR; Duration; EA1_MOOR; EA2_MOOR; EA3_MOOR; EA4_MOOR; EBC_MOOR; eddies; eddy kinetic energy; Eddy kinetic energy, 2000-2010; Eddy kinetic energy, 2010-2020; Eddy kinetic energy, at depth; Eddy kinetic energy, autumn; Eddy kinetic energy, ice; Eddy kinetic energy, mean; Eddy kinetic energy, model bandpass; Eddy kinetic energy, model online; Eddy kinetic energy, no ice; Eddy kinetic energy, some ice; Eddy kinetic energy, spring; Eddy kinetic energy, summer; Eddy kinetic energy, winter; EGN-1; EGS-1; EGS1-2; EGS2-1; EGS4-1; ELEVATION; F10-1; F1-1; F11_MOOR; F11-2; F12_MOOR; F12-1; F13_MOOR; F13-1; F14_MOOR; F14-1; F15-1; F16-1; F17_MOOR; F2-1; F3-1; F4-1; F5-1; F6-1; F7-1; F8-1; F9-1; FB2b_MOOR; FB6_MOOR; First year of observation; FRAM; FRontiers in Arctic marine Monitoring; FRS782_MOOR; FSC1_MOOR; FSC2_MOOR; FSC3_MOOR; FSC4_MOOR; GS-3_2_MOOR; HG-IV-S-1; High-frequency kinetic energy; HSNE60_MOOR; HudsonBay_MOOR; HudsonStrait_MOOR; I1_MOOR; I2_MOOR; I3_MOOR; IdF1-1; IdF2-1; IdF3-1; IdF4-1; ISWRIG_MOOR; Karasik-2015; KS02_MOOR; KS04_MOOR; KS06_MOOR; KS08_MOOR; KS10_MOOR; KS12_MOOR; KS14_MOOR; L97; LA97/2; Lance; Last year of observation; LATITUDE; LM3_MOOR; LONGITUDE; Low-frequency kinetic energy; M11_MOOR; M12_MOOR; M13_MOOR; M14_MOOR; M15_MOOR; M16_MOOR; M3_MOOR; M5_MOOR; M6_MOOR; M9a_MOOR; MA2B_MOOR; MB1B_MOOR; MB2B_MOOR; MB4B_MOOR; Mean kinetic energy; MOOR; Mooring; Mooring (long time); MOORY; N198_2_MOOR; N198_MOOR; N525_MOOR; N541_MOOR; NABOS_2015_AK1-1, NABOS_2018_AK1-1; NABOS_2015_AK2-1, NABOS_2018_AK2-1; NABOS_2015_AK3-1, NABOS_2018_AK3-1; NABOS_2015_AK4-1, NABOS_2018_AK4-1; NABOS_2015_AK5-1, NABOS_2018_AK5-1; NABOS_2015_AK6-1,NABOS_2018_AK6-1; NABOS_2015_AK7-1, NABOS_2018_AK7-1; NABOS, AT2015; NABOS 2015; Nansen-2015; North Greenland Sea; NPEO_MOOR; NWNA_MOOR; NWNB_MOOR; NWNC_MOOR; NWND_MOOR; NWNE_MOOR; NWNF_MOOR; NWNG_MOOR; NWSB_MOOR; NWSD_MOOR; NWSE_2_MOOR; NWSE_MOOR; OLIK-1_MOOR; OSL2a_MOOR; OSL2f_MOOR; Physical Oceanography @ AWI; Polarstern; PS100; PS100/039-2, PS114_25-1,ARKR02-01; PS100/045-1, PS114_29-2; PS100/047-1, PS114_40-2; PS100/053-1, PS114_36-1; PS100/073-1, PS109_20-1; PS100/106-1, PS114_23-2; PS100/142-1, PS109_139-1; PS100/180-2, PS109_111-1; PS100/181-1, PS109_112-1; PS100/182-1, PS109_113-1; PS100/183-1, PS109_114-1; PS109; PS109_133-1, PS114_52-1; PS109_138-2, PS114_53-1; PS109_148-1, PS114_60-2; PS114; PS52; PS62; PS94; PS99/070-1, PS107_3-1; PS99.2; R071_MOOR; R1-1; R2-1; R290_MOOR; R3-1; R333_MOOR; R356_MOOR; R4-1; R5-1; Reference/source; SS-5_MOOR; StA_MOOR; Station label; Stor_MOOR; Total kinetic energy; V-319_MOOR; Velocity, east; Velocity, north; Vilk_MOOR; WBC_MOOR; WG1_MOOR; WG15_MOOR; WG4_MOOR; Wunsch-NN1_MOOR; Wunsch-NN2_MOOR; Y1_MOOR; Y2_MOOR; YP_MOOR
    Type: Dataset
    Format: text/tab-separated-values, 4806 data points
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  • 57
    Publication Date: 2024-04-30
    Description: Here we provide dissolved inorganic nutrient data generated via the analysis of samples collected by autonomous instruments, in particular Remote Access Samplers (RAS) and associated sensor data (CTD-O2, PAR, Fluorescence, pH, pCO2). Data was collected within the frame of the AWI Frontiers in Arctic Marine Monitoring (FRAM) Programme and HAUSGARTEN LTO. A report is also provided, which includes basic data about the data, which are associated with two Polarstern expeditions; PS99 (grant AWI_PS99_0) and PS107 (AWI_PS107_05).
    Keywords: Arctic Ocean nutrients; ARK-XXX/1.2; Carbon dioxide, partial pressure; Chlorophyll a; Corrected; Cruise/expedition; Date/time end; Density, sigma-theta (0); DEPTH, water; derived from AMSR-2 and Sentinel 3A OLCI satellites; Event label; F4-S-1; FRAM; FRAM Moorings; FRAM sensor data; Fram Strait; Fram Strait Nutrients; FRontiers in Arctic marine Monitoring; HAUSGARTEN Long Term Observatory; HG-EGC-3; HG-IV-FEVI-34; HG-IV-S-1; Identification; LATITUDE; LONGITUDE; Method comment; Mooring (long time); MOORY; Name; Nitrate and Nitrite; Nitrate and Nitrite, correction factor; Nitrate and Nitrite, standard deviation; Nitrite; Nitrite, correction factor; Nitrite, standard deviation; North Greenland Sea; Oxygen; Oxygen saturation; Persistent Identifier; pH; Phosphate; Phosphate, correction factor; Phosphate, standard deviation; Polarstern; PS99/048-7, PS107_23-1; PS99/067-1, PS107_44-1; PS99/070-1, PS107_3-1; PS99/072-1, PS107_3-2; PS99.2; Quality flag; Remote Access Samplers (RAS); Salinity; Sea ice concentration; Silicate; Silicate, correction factor; Silicate, standard deviation; Station label; Temperature, water; Uncorrected
    Type: Dataset
    Format: text/tab-separated-values, 4254 data points
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  • 58
    Publication Date: 2024-04-30
    Description: This dataset includes physiological parameters of three Hawaiian coral species (Porites compressa, Porites lobata, and Montipora capitata) over 22-month mesocosm experiment. The corals were exposed to one of four treatments: control, ocean acidification, ocean warming, or combined future ocean conditions.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass; Biomass/Abundance/Elemental composition; Calcification/Dissolution; Calcification rate of calcium carbonate; 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); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, total, flux; Carbon, organic, total, per dry mass, flux; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Cnidaria; Coast and continental shelf; Code; Containers and aquaria (20-1000 L or 〈 1 m**2); Contribution; Entire community; EXP; Experiment; Feeding rate; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Fugacity of carbon dioxide in seawater, standard deviation; Gross photosynthesis rate, oxygen; Haleiwa; Identification; Laboratory experiment; Lipid content; Lipids; Lipids, per unit dry mass; MokuoLoe_OA; Montipora capitata; Mortality/Survival; Net photosynthesis rate, oxygen; North Pacific; 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); pH; pH, standard deviation; Porites compressa; Porites lobata; Potentiometric titration; Primary production/Photosynthesis; Protein per surface area; Proteins; Proteins, per unit dry mass; Respiration; Respiration rate, oxygen; Rocky-shore community; Salinity; Salinity, standard deviation; Sampan_Channel; Single species; Site; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Spectrophotometric; Symbiodiniaceae; Symbiodiniaceae, per dry mass; Temperature; Temperature, water; Temperature, water, standard deviation; Treatment; Tropical; Type of study; Waimanalo; Whiteness
    Type: Dataset
    Format: text/tab-separated-values, 16188 data points
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  • 59
    Publication Date: 2024-04-30
    Description: This data set contains the benthic foraminifera counts of 190 samples off NW Africa. 100 samples come from gravity core GeoB9512-5 (15.33 N, 17.36 W, 793 mbsl), 64 from core GeoB9506-1 (15.61 N, 18.35 W, 2956 mbsl), 9 from core tops of the NE Atlantic (GeoB9506-3, GeoB9508-4, GeoB9535-5, GeoB9534-4, GeoB9529-1, GeoB9532-1, GeoB9533-3, GeoB9512-4, GeoB9510-3) and 17 from core tops of the SE Atlantic (T89-14, T89-16, T89-11, T89-12, T89-15, T89-16, T89-17, T89-19, T89-20, T89-21, T89-22, T89-13, T89-23, T89-24, T89-25, T89-28, T89-47). The samples from the gravity cores were obtained from working and in some cases archive halves with the help of the GeoB Core Collection at the MARUM – Center for Marine Environmental Sciences, University of Bremen, Germany. 100 fresh samples from GeoB9512-5 and 31 samples of GeoB9506-1 were (1) washed with deionized water through a 63 µm sieve, then (2) dried for less than 24 hours at 45°C, and (3) dry sieved through 63 µm, 125 µm, 150 µm, and 250 µm. Finally, the washed sediment with a size 〉150 µm was used to retrieve at least 250 specimens when possible for each sample. The remaining number of analyzed samples from GeoB9506-1 (33 samples) and core tops included in this research were provided by the GeoB Core Repository collection archive and consisted of washed sediments 〉150 µm. Washed samples from the SE Atlantic were kindly provided by Dr. Enno Schefuss (Scheefuss et al., 2004). Taxonomy identification was made at a genus level based on Loeblich, A. R. and Tappan, H. (1987) and Rönnfeld, W. (2020)), while species identification was based on various references including Brady, H. B. (1884), Van Morkhoven et al. (1986) and Holbourn et al. (2013). A total of 48.297 benthic foraminifera were recovered and analyzed. 238 taxonomical units were identified, including 112 genera and 182 species. The data was used to reconstruct the paleoenvironmental conditions of bottom water during the last deglaciation in the NE Atlantic. The reported microhabitats and oxygen conditions for most species were extracted from various references including Murray (1991), Murray (2006) Kaiho (1994) and Kranner et al. (2022) among others.
    Keywords: 291; 293; 295; 297; 314; 317; 318; 319; 320; Adelosina spp.; Adercotryma glomeratum; Ammobaculites agglutinans; Ammodiscus incertus; Ammoglobigerina globigeriniformis; Ammonia falsobeccarii; Amphicoryna cf. scalaris; Anomalina sp.; Anomalinoides globulosus; Aschemonella sp.; Astacolus albatrossi; Astacolus sp.; Astrononion cf. stelligerum; Astrononion sp.; Astrorhiza spp.; BC; Benthic foraminifera; Bolivina cf. advena; Bolivina cf. dilatata; Bolivina cf. punctata; Bolivina cf. spathulata; Bolivina lobata; Bolivina sp.; Bolivina subaenariensis var. mexicana; Box corer; Brizalina alata; Bulimina aculeata; Bulimina buchiana; Bulimina elegans; Bulimina exilis; Bulimina marginata; Bulimina spp.; Bulimina striata; Buzasina galeata; Buzasina ringens; Cancris auriculus; Cassidulina laevigata; Cassidulina teretis; Center for Marine Environmental Sciences; Ceratobulimina contraria; Chilostomella oolina; Chilostomella ovoidea; Cibicidoides cicatricosus; Cibicidoides grosseperforatus; Cibicidoides mundulus; Cibicidoides pachyderma; Cibicidoides robertsonianus; Cibicidoides sp.; Cibicidoides subhaidingerii; Cibicidoides wuellerstorfi; Core tops; Cornuspira carinata; Cornuspira cf. involvens; Cornuspira cf. selseyensis; Counting 〉150 µm fraction; Cribroelphidium cf. williamsoni; Cushmanina plumigera; Cushmanina sp.; Cyclammina cancellata; Cyclammina trullisata; Cystammina pauciloculata; Dentalina mutabilis; Dentalina sp.; DEPTH, sediment/rock; Discammina compressa; Discorbis sp.; Dorothia cf. pseudoturris; Eggerella bradyi; Eggerelloides cf. scaber; Ehrenbergina trigona; Elevation of event; Elphidium cf. articulatum; Elphidium crispum; Elphidium macellum; Epistominella exigua; Eratidus foliaceus; Event label; Evolvocassidulina bradyi; Favulina hexagona; Fissurina cf. claricurta; Fissurina cf. laevigata; Fissurina cf. pacifica; Fissurina cf. staphyllearia; Fissurina longispina; Fissurina marginata; Fissurina orbignyana; Fissurina sp.; Fissurina spinosa; Fissurina stschedrinae; Foraminifera, benthic, total; Fursenkoina bradyi; Fursenkoina complanata; Fursenkoina sp.; Gaudryina spp.; GeoB9506-3; GeoB9508-4; GeoB9510-3; GeoB9512-4; GeoB9529-1; GeoB9532-1; GeoB9533-3; GeoB9534-4; GeoB9535-5; Glandulina laevigata; Glandulina ovula; Glandulina sp.; Globobulimina affinis; Globobulimina pacifica; Globobulimina sp.; Globobulimina turgida; Globocassidulina cf. subglobosa; Globocassidulina sp.; Glomospira charoides; Gravity core; Grigelis pyrula; Gyroidina sp.; Gyroidina spp.; Hansenisca soldanii; Hanzawaia boueana; Haplophragmium cf. fontinense; Haplophragmoides emaciatus; Haplophragmoides latidorsatus; Haplophragmoides spp.; Heterolepa bradyi; Hoeglundina elegans; Hormosina bacillaris; Hormosina globulifera; Hormosina sp.; Hyalinea balthica; Hyalinonetrion gracillimum; Karreriella bradyi; Karreriella siphonella; Karreriella sp.; Laevidentalina communis; Laevidentalina emaciata; Laevidentalina haueri; Lagena cf. stelligera; Lagena cf. substriata; Lagena cf. sulcata; Lagena hispida; Lagenammina arenulata; Lagenammina cf. difflugiformis; Lagenammina planktonica; Lagenammina sp.; Lagena nebulosa; Lagena semistriata; Lagena sp.; Lagena striata; Lagena sulcata; Lagenosolenia cf. pacifica; Laticarinina pauperata; Latitude of event; Lenticulina cf. cushmani; Lenticulina cf. denticulifera; Lenticulina cf. thalmanni; Lenticulina gibba; Lenticulina iota; Lenticulina orbicularis; Lenticulina sp.; Lingulina carinata; Lobatula lobatula; Longitude of event; M65/1; Marginulina sp.; Martinottiella communis; MARUM; Melonis barleeanus; Melonis pompilioides; Melonis sp.; Meteor (1986); Miliolinella cf. circularis; Miliolinella valvularis; MUC; MultiCorer; Neolenticulina variabilis; NIOZ89; Nodellum membranaceum; Nodosaria cf. vertebralis; Nonion cf. polystomum; Nonion cf. victoriense; Nonionella turgida; Nonion fabum; Nonionina sp.; North Atlantic; North Atlantic Deep Water; NW Africa; Oolina cf. globosa; Oolina seminuda; Oridorsalis umbonatus; Osangularia culter; Planorbulina spp.; Planularia magnifica; Planulina ariminensis; Pleurostomella spp.; Procerolagena distoma; Pseudonodosaria sp.; Pseudopyrgo millettii; Pullenia bulloides; Pullenia quinqueloba; Pyrgo cf. simplex; Pyrgo cf. subsphaerica; Pyrgo comata; Pyrgo depressa; Pyrgoella sphaera; Pyrgo elongata; Pyrgo murrhina; Pyrgo serrata; Pyrgo sp.; Pyrgo williamsoni; Quinqueloculina cf. suborbicularis; Quinqueloculina laevigata; Quinqueloculina seminulum; Quinqueloculina sp.; Rectuvigerina cf. elongatastriata; Recurvoides turbinatus; Reophax cf. dentaliniformis; Reophax sp.; Rhabdammina sp.; Rhizammina algaeformis; Rhizammina spp.; Robertinoides bradyi; Rutherfordoides rotundata; Saccammina sp.; Saccammina sphaerica; Saccorhiza spp.; Saracenaria cf. italica; Saracenaria italica; Saracenaria sp.; Sigmoilopsis schlumbergeri; Siphonina cf. reticulata; Southeast Atlantic; Sphaeroidina bulloides; Spiroloculina depressa; Spiroloculina rotunda; Spiroplectinella spp.; Spirosigmoilina tenuis; Subreophax aduncus; T89-11; T89-12; T89-13; T89-14; T89-15; T89-16; T89-17; T89-19; T89-20; T89-21; T89-22; T89-23; T89-24; T89-25; T89-28; T89-47; Taxonomy; Textularia cf. turris; Textularia hystrix; Textularia sp.; Trifarina angulosa; Trifarina sp.; Triloculina insignis; Triloculina sp.; Triloculina tricarinata; Triloculina trigonula; Tyro; Uvigerina cf. tenuistriata; Uvigerina hispida; Uvigerina mediterranea; Uvigerina peregrina; Uvigerina proboscidea; Uvigerina sp.; Vaginulina spinigera; Vaginulina spp.; Valvulineria bradyana; Veleroninoides scitulus; Virgulina subsquamosa
    Type: Dataset
    Format: text/tab-separated-values, 45030 data points
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  • 60
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 387777 data points
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  • 61
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 400968 data points
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  • 62
    Publication Date: 2024-04-30
    Keywords: 370-C0023A; calculated, 2 sigma; Chikyu; Comment; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp370; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Multicollector-inductively coupled plasma mass spectrometer (ICP-MS), Thermo Finnigan, Neptune; coupled with "High sensitivity Sample Introduction system, Elemental Analytics, Apex-Q; Standard–sample bracketing method according to Schoenberg & von Blancke; Nankai Trough; Sample code/label; Sample code/label 2; Sample ID; δ56/54Fe, dissolved; δ56/54Fe, dissolved, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 221 data points
    Location Call Number Expected Availability
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  • 63
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 400383 data points
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  • 64
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 380327 data points
    Location Call Number Expected Availability
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  • 65
    Publication Date: 2024-04-30
    Description: This data set presents Th/U ages from a speleothem deposit in the Eastern Desert of Egypt at Saqia Cave and mean values of δ13C and δ18O for the respective speleothem growth phases. The presence and absence of speleothem deposition in (hyper-) arid environments can be regarded as an on-off situation. Deposition take place during phases of sufficient water availability and vegetation growth (“on”), whereas speleothem growth is absent under an arid climate (“off”). δ13C and δ18O isotope composition of each dated section is used for insights into the moisture source in the Eastern Desert and possible changes in the dominance of C3/C4 type vegetation. Sample collection was done as part of the Collaborative Research Centre 806 “Our Way to Europe”. Uranium-series dating was conducted at the Institute for Environmental Physics at Heidelberg University with isotope measurements using either thermal ionisation mass spectrometry (TIMS Finnigan MAT 262 RPQ) or multi-collector inductively coupled-plasma mass spectrometry (MC-ICPMS, Thermo Scientific Neptune Plus. Measurement of δ13C and δ18O using a KIEL IV carbonate device connected to a MAT253 gas mass spectrometer installed at the Institute for Geology and Mineralogy in Cologne. Th/U ages range from 185.7 ± 4.3 ka to 83.2 ± 2.1 ka, with most of the dating's fall into MIS 5 (18 out of 21) and cover all substages of MIS 5. The δ18O signature from Saqia Cave ranges between −10.90‰ and −11.73‰ with a mean of −11,22 ± 0,29‰. δ13C is more variable ranging between −2,58‰ and −7.07‰ with a mean value of −5.67 ± 1.2‰. δ13C values during MIS 5e are lower during MIS 5e and higher during MIS 5d and 5b, although absolute lowest δ13C values from one sample of −7.6‰ exists during MIS 5d.
    Keywords: Age, dated; Age, dated standard deviation; Analytical method; DISTANCE; Egypt; Institution; Interglacial; Laboratory code/label; Marine isotope stage; Measurement conducted; MIS 5; Our Way to Europe: Culture-Environment Interaction and Human Mobility in the Late Quaternary; Sample ID; Saqia_cave; SFB806; speleothem; Speleothem sample; SPS; Thorium-230/Thorium-232 activity ratio; Thorium-230/Thorium-232 activity ratio, standard deviation; Thorium-230/Uranium-238 activity ratio; Thorium-230/Uranium-238 activity ratio, standard deviation; Thorium-232; Thorium-232, standard deviation; Uranium-238; Uranium-238, standard deviation; δ13C, carbonate; δ18O, carbonate; δ234 Uranium; δ234 Uranium, standard deviation; δ234 Uranium (0); δ234 Uranium (0), standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 517 data points
    Location Call Number Expected Availability
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  • 66
    Publication Date: 2024-04-30
    Description: The application of stable oxygen isotopic ratio of surface dwelling Globigerinoides ruber (white variety) (δ¹⁸Oruber) to reconstruct past hydrological changes requires precise understanding of the effect of ambient parameters on δ¹⁸Oruber. The northern Indian Ocean, with huge freshwater influx and being a part of the Indo-Pacific Warm Pool, provides a unique setting to understand the effect of both the salinity and temperature on δ18Oruber. Here, we use a total of 400 surface samples (252 from this work and 148 from previous studies), covering the entire salinity end member region, to assess the effect of seawater salinity and temperature on δ¹⁸Oruber in the northern Indian Ocean. For δ¹⁸O analysis, 10-15 well preserved shells of Globigerinoides ruber white variety, were picked from 250-355 μm size range. The stable oxygen isotopic ratio was measured by using Finnigan MAT 253 isotope ratio mass spectrometer, coupled with Kiel IV automated carbonate preparation device. The precision of oxygen isotope measurements was better than 0.08‰. The analyzed surface δ¹⁸Oruber very well mimics the expected δ¹⁸O calcite estimated from the modern seawater parameters (temperature, salinity and seawater δ¹⁸O). We report a large diagenetic overprinting of δ18Oruber in the surface sediments with an increase of 0.18‰ per kilometer increase in water depth. The salinity exerts the major control on δ¹⁸Oruber (R2 = 0.63) in the northern Indian Ocean, with an increase of 0.29‰ per unit increase in salinity. The relationship between temperature and salinity corrected δ¹⁸Oruber (δ¹⁸Oruber - δ¹⁸Osw) in the northern Indian Ocean [T= -0.59*(δ¹⁸Oruber - δ¹⁸Osw) + 26.40] is different than reported previously based on the global compilation of plankton tow δ¹⁸Oruber data. The revised equations will help in better paleoclimatic reconstruction from the northern Indian Ocean.
    Keywords: 63KA; 905B; 93KL; A15558; A15612; AAS6GC-3; AAS6GC-6; AAS9_21; AAS9/21; AII15-596; AII15-597; AII15-612; All15-585; All15-586; All15-591; All15-592; Andaman Sea; Arabian Sea; BARP-9406; BARP-9407; BARP-9409; BARP-9412; BARP-9413; BARP-9415; BARP-9422; BARP-9426; BARP-9435; BARP-9437; BC; BC21WP7; BCR; Box corer; Box corer (Reineck); Core; CORE; DOD-200; DOD-201; DOD-204; DODO-197; Eastern Arabian Sea; Elevation of event; Event label; Foraminifera; GC; GEMINO I; Globigerinoides ruber; Globigerinoides ruber white, δ18O; Grab; GRAB; Gravity corer; Indian Ocean; IOE_143KK; KAL; Kasten corer; KL; KL-15, AS-03; KL-26, AS-02; KL-36, AS-04; KL-51, AS-07; KL-57, AS-08; KL-74, AS-12; KL-79; KL-87, AS-15; Latitude of event; Longitude of event; M5/3a; M5/3a_422QM; MAKRAN 2; Marion Dufresne (1972); Mass spectrometer MAT253; MD10; MD10-26; MD10-27; MD10-28; MD10-29; MD13; MD13-29; MD13-36; MD13-42; MD13-44; MD13-50; MD13-59; MD13-60; MD13-67; MD13-68; MD76-123; MD76-125; MD76-127; MD76-128; MD76-129; MD76-131; MD76-132; MD76-135; MD76-136; MD77-164; MD77-169; MD77-171; MD77-176; MD77-177; MD77-178; MD77-179; MD77-180; MD77-181; MD77-185; MD77-191; MD77-194; MD77-195; MD77-197; MD77-200; MD77-202; MD77-203; MD77-204; Meteor (1986); MUC; MultiCorer; NIOP_905; NIOP_929; NIOP-B0/C0; NIOP-C2; Northeastern Arabian Sea; northern Indian Ocean; ORKS_08; OSIRIS II; OSIRIS III; oxygen isotope; PAKOMIN; PC; Piston corer; Piston corer (BGR type); QM; Quantameter; RC12; RC12-328; RC12-329; RC12-331; RC12-339; RC12-340; RC12-341; RC12-343; RC12-344; RC12-347; RC14; RC14-35; RC14-36; RC14-37; RC14-39; RC17; RC17-126; RC9-155; RC9-161; RC9-162; Reference/source; Robert Conrad; RVG_167/1_3904; Sagar Kanya; Sample ID; sediment; Sindhu Sadhana; Sindhu Sankalp; Size fraction; SK117; SK117_SC_05; SK117_SC_08; SK117_SC_11; SK117_SC_12; SK117_SC_14; SK117_SC_15; SK117_SC_16; SK117_SC_17; SK117_SC_18; SK117_SC_19; SK117_SC_20; SK117_SC_23; SK117_SC_25; SK117_SC_26; SK117_SC_27; SK117_SC_30; SK117_SC_31; SK117_SC_32; SK117_SC_33; SK117_SC_34; SK117_SC_39; SK117_SC_40; SK117_SC_43; SK117_SC_44; SK117_SC_45; SK117_SC_46; SK117_SC_51; SK126-GC39; SK129-CR05; SK148-GC4; SK157_GC_12; SK157_GC_14; SK157_GC_20; SK157-GC04; SK157-GC18; SK168-GC01; SK17; SK175; SK175_GB_02; SK175_GB_102; SK175_GB_103; SK175_GB_105; SK175_GB_111; SK175_GB_113; SK175_GB_116; SK175_GB_117; SK175_GB_118; SK175_GB_119; SK175_GB_121; SK175_GB_122; SK175_GB_123; SK175_GB_125; SK175_GB_127; SK175_GB_128; SK175_GB_129; SK175_GB_14; SK175_GB_19; SK175_GB_26; SK175_GB_28; SK175_GB_29; SK175_GB_30; SK175_GB_31; SK175_GB_33; SK175_GB_41; SK175_GB_58; SK175_GB_59; SK175_GB_60; SK175_GB_76; SK175_GB_77; SK175_GB_83; SK175_GB_84; SK175_GB_85; SK175_GB_86; SK175_GB_87; SK175_GB_89; SK175_GB_90; SK175_GB_91; SK175_GB_92; SK175_GB_93; SK175_GB_94; SK175_GB_96; SK175_GB_98; SK175_GB_99; SK20-GC185; SK218_1; SK237; SK237_GC09; SK237_SC_03; SK237_SC_04; SK237_SC_05; SK237_SC_06; SK237_SC_07; SK237_SC_11; SK237_SC_12; SK237_SC_13; SK237_SC_14; SK237_SC_16; SK237_SC_21; SK237_SC_22; SK237_SC_23; SK237_SC_27; SK237_SC_29; SK237_SC_32; SK237_SC_33; SK237_SC_34; SK237_SC_36; SK237_SC_37; SK237_SC_42; SK237_SC_43; SK237_SC_44; SK237_SC_46; SK237_SC_47; SK308; SK308_MC-02; SK308_MC-03; SK308_MC-04; SK308_MC-05; SK308_MC-08; SK308_MC-12; SK308_MC-14; SK308_MC-16; SK308_MC-18; SK308_MC-19; SK308_MC-23; SK308_MC-35; SK308_MC-36; SK308_MC-37; SK308_MC-38; SK308_MC-39; SK308_MC-41; SK308_MC-43; SK308_MC-44; SK308_MC-45; SK308_MC-47; SK308_MC-51; SK308_MC-55; SK308_MC-58; SK308_MC-59; SK308_MC-61; SK308_MC-63; SK308_MC-64; SK308_MC-66; SK31_GC_11; SL-1; SL-4; SN-6; SO130; SO130_211KG; SO130_282KG; SO130_285MC; SO28; SO28-05KL; SO28-11KL; SO28-18KL; SO42; SO42-15KL; SO42-26KL; SO42-36KL; SO42-51KL; SO42-57KL; SO42-74KL; SO42-79KL; SO42-87KL; SO90; SO90_39KG; SO90_56KA; Sonne; Southeastern Arabian Sea; Southwestern Bay of Bengal; SPAC; Spade Corer; SS3827G; SSD004; SSD004_G-01; SSD004_G-02; SSD004_G-03; SSD004_G-04; SSD004_G-05; SSD004_MC-01; SSD004_MC-02; SSD004_MC-03; SSD004_MC-04; SSD004_MC-05; SSD004_MC-06; SSD004_MC-07; SSD004_MC-08; SSD004_MC-09; SSD004_MC-10; SSD004_MC-11; SSD004_MC-12; SSD004_MC-13; SSD004_MC-14; SSD004_MC-15; SSD004_MC-16; SSD004_MC-17; SSD004_MC-18; SSD004_MC-19; SSD004_MC-20; SSD004_MC-21; SSD004_MC-23; SSD004_MC-26; SSD004_MC-27; SSD004_MC-28; SSD004_MC-29; SSD004_MC-30; SSD004_MC-31; SSD004_MC-32; SSD004_MC-53; SSD004_MC-54; SSD004_MC-55; SSD004_MC-56; SSD004_MC-57; SSD004_MC-59; SSD004_MC-60; SSD055; SSD055_MC01; SSD055_MC02; SSD055_MC03; SSD055_MC04; SSD055_MC05; SSD055_MC06; SSD055_MC08; SSD055_MC09; SSD055_MC10; SSD055_MC11; SSD055_MC12; SSD067; SSD067_GR04; SSD067_GR05; SSD067_GR10; SSD067_GR11; SSD067_MC02; SSD067_MC04; SSD067_MC05; SSD067_MC06; SSD067_MC07; SSD067_MC08; SSD067_MC09; SSD067_MC10; SSD067_MC11; SSD067_MC12; SSD067_MC13; SSD067_MC14; SSD067_MC16; SSD067_MC17; SSD067_MC21; SSD067_MC22; SSD067_MC24; SSD067_MC26; SSD067_MC29; SSD067_MC30; SSD067_MC31; SSD067_MC32; SSD067_MC33; SSD067_MC34; SSD067_MC36; SSD067_MC37; SSD067_MC38; SSD067_MC41; SSD067_MC42; SSD067_MC43; SSD067_MC44; SSD067_MC45; SSD067_MC46; SSD067_MC47; SSD067_MC49; SSD067_MC50; SSD067_MC51; SSD067_MC53; SSD067_MC54; SSD067_MC55; SSD067_MC56; SSK35; SSK35_SPC-25; SSK35_SPC-26; SSK35_SPC-27; SSK35_SPC-28; SSK35_SPC-29; SSK35_SPC-32; SSK35_SPC-33; SSK35_SPC-34; SSK35_SPC-37; SSK35_SPC-39; SSK35_SPC-42; SSK35_SPC-43; SSK35_SPC-45; SSK98; SSK98_GR01; SSK98_GR02; SSK98_GR03; SSK98_GR04; SSK98_GR05; SSK98_GR06; SSK98_GR10; SSK98_SPC01; SSK98_SPC02; SSK98_SPC03; SSK98_SPC07; SSK98_SPC11; SSK98_SPC12; SSK98_SPC13; SSK98_SPC14; Surface; TN41_32MC; TN47_6GGC; Tyro; V14; V14-101; V14-103; V14-104; V14-106; V14-107; V14-108; V19; V19-176; V19-177; V19-178; V19-183; V19-185; V19-188; V29; V29-15; V29-19; V29-29; V29-30; V34; V34-80; V34-83; V34-85; V34-88; Vema; Western Bay of Bengal
    Type: Dataset
    Format: text/tab-separated-values, 1522 data points
    Location Call Number Expected Availability
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  • 67
    Publication Date: 2024-04-30
    Description: This dataset includes total organic carbon (TOC), stable carbon isotope (δ13C), and radiocarbon activity (expressed as Fm) of TOC, as well as mineral surface area (SA), mean grain size, and calcium carbonate (CaCO3) of 89 surface sediment samples from the northern South China Sea. The samples were collected through the German R/V SONNE cruises SO50, SO72A, SO95, and SO132 during July–September 1987, October–November 1990, April–June 1994, and June–July 1998, respectively. TOC and stable carbon isotope (δ13C) of the decarbonated samples were measured by an elemental analyzer interfaced with an isotope ratio mass spectrometer (EA-IRMS; Flash EA 1112 HT-Delta V Advantage). The standard deviations of TOC content and δ13C were 0.03% and 0.08‰, respectively, by replicate measurements of the same acetanilide standard samples. Radiocarbon activity of carbonate free sediment were measured using a Mini Carbon Dating System (MICADAS) accelerated mass spectrometry at the Laboratory of Ion Beam Physics, ETH Zürich. Radiocarbon data are reported as "fraction modern" (Fm), representing the deviations of the 14C/12C ratio from 95% modern oxalic acid standard. The absolute error of Fm is better than ±0.01. The conventional radiocarbon ages are calculated based on the equation of t = –8033 ln (Fm), in years Before Present (yr BP, where present is 1950 AD). Organic-free mineral surface area (SA) was measured using a 5-point Brunauer-Emmett-Teller (BET) nitrogen adsorption method on NOVA 4000 SA analyzer (Quantachrome Instrument). The standard deviations of two reference minerals are 0.03 and 0.14 m2 g–1, respectively. The sample was then performed for mean grain size analysis using a laser Particle Size Analyzer (Malvern Mastersizer 2000). The calcium carbonate content of the samples was determined by a vacuum-gasometric system with a relative accuracy of ±0.7%.
    Keywords: Activity of radiocarbon in percent of modern carbon; BC; Box corer; Calcium carbonate; Calcium Carbonate; Carbon, organic, total; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Element analyser isotope ratio mass spectrometer (EA-IRMS); Event label; Giant box corer; GIK17920-1; GIK17921-1; GIK17922-1; GIK17924-1; GIK17925-2; GIK17926-2; GIK17927-1; GIK17929-1; GIK17930-1; GIK17931-1; GIK17932-1; GIK17933-2; GIK17934-1; GIK17935-2; GIK17936-1; GIK17937-1; GIK17938-1; GIK17940-1; GIK17941-1; GIK17942-1; GIK17943-1; GIK17944-1; GIK17945-1; GIK17946-1; GIK17947-2; GIK17948-1; GIK17949-1; GIK17952-1; GKG; Grain Size; Grain size, mean; Laser diffraction particle size analyser (Malvern Mastersizer 2000); MICADAS Accelerator Mass Spectrometer; Minerals, surface area; mineral surface area (SA); MONITOR MONSUN; MSN; MUC; MultiCorer; Multiple opening/closing net; Number; radiocarbon isotope (Fm); Sample code/label; SO132; SO132_11-2; SO132_15-2; SO132_16-2; SO132_27-1; SO132_29-1; SO132_30-1; SO132_31-1; SO132_32-1; SO132_33-1; SO132_34-1; SO132_35-1; SO132_36-1; SO132_37-1; SO132_38-1; SO132_7-2; SO50; SO50_KG-100; SO50_KG-102; SO50_KG-104; SO50_KG-30; SO50_KG-36; SO50_KG-39; SO50_KG-43; SO50_KG-44; SO50_KG-50; SO50_KG-53; SO50_KG-54; SO50_KG-55; SO50_KG-56; SO50_KG-58; SO50_KG-59; SO50_KG-60; SO50_KG-61; SO50_KG-62; SO50_KG-67; SO50_KG-69; SO50_KG-71; SO50_KG-72; SO50_KG-73; SO50_KG-74; SO50_KG-75; SO50_KG-76; SO50_KG-77; SO50_KG-78; SO50_KG-92; SO50_KG-94; SO50_KG-97; SO50_KG-98; SO72A; SO72A_KG-10B-1; SO72A_KG-12-1; SO72A_KG-13-1; SO72A_KG-14-1; SO72A_KG-15-1; SO72A_KG-16-1; SO72A_KG-17-1; SO72A_KG-18-1; SO72A_KG-19-1; SO72A_KG-2-1; SO72A_KG-3-1; SO72A_KG-4-1; SO72A_KG-8-1; SO72A_KG-9-1; SO95; Sonne; South China Sea; Stable carbon isotope (δ13C); SÜDMEER II; Surface area analyzer, Quantachrome Instrument, NOVA 4000 SA; total organic carbon (TOC); Vacuum-gasometric; δ13C, total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 882 data points
    Location Call Number Expected Availability
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  • 68
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CM22, SN 100216, WRMC No. 11021; Pyranometer, Kipp & Zonen, CM22, SN 100217, WRMC No. 11022; Pyranometer, Kipp & Zonen, CM22, SN 100219, WRMC No. 11023; Pyrgeometer, Eppley, PIR, SN 28858 F3, WRMC No. 11002; Pyrgeometer, Eppley, PIR, SN 28897 F3, WRMC No. 11001; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100440, WRMC No. 11018; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401635 data points
    Location Call Number Expected Availability
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  • 69
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CM22, SN 100216, WRMC No. 11021; Pyranometer, Kipp & Zonen, CM22, SN 100217, WRMC No. 11022; Pyranometer, Kipp & Zonen, CM22, SN 100219, WRMC No. 11023; Pyrgeometer, Eppley, PIR, SN 28858 F3, WRMC No. 11002; Pyrgeometer, Eppley, PIR, SN 28897 F3, WRMC No. 11001; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100440, WRMC No. 11018; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 388554 data points
    Location Call Number Expected Availability
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  • 70
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401684 data points
    Location Call Number Expected Availability
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  • 71
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401666 data points
    Location Call Number Expected Availability
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  • 72
    Publication Date: 2024-04-30
    Description: The 10Be data set includes the geographic position and elevation of the analyzed samples and the detailed analytical results including the blank correction, the correction for geological inheritance, and the final 10Be concentrations (atoms/gram) used to calculate the 10Be exposure ages.
    Keywords: 10Be exposure dating; 16C19; 16C20; 16C21; 16C22; 16C23; 16C24; 16C25; 16C26; 16C27; 16C28; 16C29; Danghe Nan Shan; DNS_16C19; DNS_16C20; DNS_16C21; DNS_16C22; DNS_16C23; DNS_16C24; DNS_16C25; DNS_16C26; DNS_16C27; DNS_16C28; DNS_16C29; fault slip rate; Geological sample; GEOS; river terraces; Tibet
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 15.2 kBytes
    Location Call Number Expected Availability
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  • 73
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography, ocean current velocities and bio-optical seawater properties were obtained from mooring HG-IV-SWIPS-2018 in the Fram Strait in July 2018 - August 2019 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS114, and recovered during PS121. The attached archive contains raw data files of an integrated profiling SBE52plus system (nominal depth: 135m) and a single RCM11 current meter (nominal depth: 167m; sampling interval: 1h). Due to technical issues, the profiling winch only operated as intended for 1 month. Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; CTD; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-IV-SWIPS-2018; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; profiling winch; PS114; PS114_7-1; PS114_7-1, PS121_18-1; PS121; PS121_18-1; RCM11; SWIPS-2018, HG-IV-SWIPS-2018
    Type: Dataset
    Format: application/zip, 3.8 MBytes
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  • 74
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography and carbon/particle export were obtained from mooring HG-N-FEVI-37 in the Fram Strait in July 2018 - August 2019 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS114, and recovered during PS121. The attached archive contains raw data files of two Seabird SBE37 microcats (nominal depths: 48m, 2626m; sampling interval 1h), two AADI RCM11 current meters (nominal depths: 2448m, 2624m; sampling interval 1h) and one AADI Seaguard current meter (nominal depth: 210m; sampling interval 1h). The mooring also included two sediment traps (nominal depths: 203m, 2441m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; CTD; FEVI-37, HG-N-FEVI-37; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-EGC-5, HG-N-FEVI-37; HG-N-FEVI-37; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; particle export; Physical Oceanography @ AWI; Polarstern; PS114; PS114_32-3; PS114_32-3, PS121_31-1; PS121; PS121_31-1; RCM11; Seaguard
    Type: Dataset
    Format: application/zip, 4.3 MBytes
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  • 75
    Publication Date: 2024-04-30
    Description: Time-series data of physical & biological oceanography, nutrient biogeochemistry and molecular biology were obtained from mooring HG-IV-S-3 in the Fram Strait in July 2018 - August 2019 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS114, and recovered during PS121. The attached archive contains raw data files of two Seabird SBE37 microcats (nominal depths: 26m, 52m; sampling interval 1h) and one Wetlabs ECO Triplet fluorometer (nominal depth: 24m; sampling interval 2h). The Wetlabs ECO PAR sensor (nominal depth: 24m; sampling interval 1h) was flooded and all data was lost. The mooring also included a McLane RAS water sampler (nominal depth: 24m) and a McLane PPS phytoplankton sampler (nominal depth: 26m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable. The processed data of all sensors will be made available in separate entries.
    Keywords: Arctic Ocean; AWI_PhyOce; CTD; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-IV-S-3; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS114; PS114_5-1; PS114_5-1, PS121_19-1; PS121; PS121_19-1
    Type: Dataset
    Format: application/zip, 1.8 MBytes
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  • 76
    Publication Date: 2024-04-30
    Description: Time series data of hydroacoustics and multi-frequency acoustic backscatter were obtained from mooring F4-OZA in the Fram Strait in September 2018 - July 2020 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV MARIA S. MERIAN expedition MSM76 and recovered during MSM93. The mooring included one ASL Acoustic Zooplankton Fish Profiler (nominal depth: 155m; data archived elsewhere) and one Develogic Sonovault (nominal depth: 836m; data also archived elsewhere). The attached .zip file only contains the mooring diagrams.
    Keywords: Arctic Ocean; AWI_PhyOce; AZFP; F4-OZA; fish; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 18-1_33; Hausgarten; hydroacoustics; Long-term Investigation at AWI-Hausgarten off Svalbard; Maria S. Merian; MOOR; Mooring; MSM76; MSM76_214-2; MSM76_214-2,MSM93_6-1; MSM93; MSM93_6-1; North Atlantic; North Greenland Sea; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Sonovault; Zooplankton
    Type: Dataset
    Format: application/zip, 140.2 kBytes
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  • 77
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CM22, SN 100216, WRMC No. 11021; Pyranometer, Kipp & Zonen, CM22, SN 100217, WRMC No. 11022; Pyranometer, Kipp & Zonen, CM22, SN 100219, WRMC No. 11023; Pyrgeometer, Eppley, PIR, SN 28858 F3, WRMC No. 11002; Pyrgeometer, Eppley, PIR, SN 28897 F3, WRMC No. 11001; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100440, WRMC No. 11018; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 362722 data points
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  • 78
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography and carbon/particle export were obtained from mooring HG-IV-FEVI-38 in the Fram Strait in July 2018 - August 2019 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS114, and recovered during PS121. The attached archive contains raw data files of four Seabird SBE37 microcats (nominal depths: 52m, 253m, 1200m, 2526m; sampling interval 1h), two AADI RCM11 current meters (nominal depths: 203m, 1230m; sampling interval 1h), one Nortek Aquadopp current meter (nominal depth: 750m; sampling interval 20 min), one RDI Longranger ADCP (nominal depth: 409m; sampling interval 1h) and two AADI Seaguard current meters (nominal depths: 2348m, 2524m; sampling interval 1h). The mooring also included three sediment traps (nominal depths: 196m, 1223m, 2341m) and one BioOptical Platform (565m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: ADCP; Arctic Ocean; AWI_PhyOce; CTD; FEFI-38, HG-IV-FEVI-38; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-IV-FEVI-38; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; particle export; Physical Oceanography @ AWI; Polarstern; PS114; PS114_6-1; PS114_6-1, PS121_20-1; PS121; PS121_20-1; RCM11; Seaguard
    Type: Dataset
    Format: application/zip, 782.2 MBytes
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  • 79
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CM22, SN 100216, WRMC No. 11021; Pyranometer, Kipp & Zonen, CM22, SN 100217, WRMC No. 11022; Pyranometer, Kipp & Zonen, CM22, SN 100219, WRMC No. 11023; Pyrgeometer, Eppley, PIR, SN 28858 F3, WRMC No. 11002; Pyrgeometer, Eppley, PIR, SN 28897 F3, WRMC No. 11001; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100440, WRMC No. 11018; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 386206 data points
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  • 80
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 393454 data points
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  • 81
    Publication Date: 2024-04-30
    Description: Time-series data of physical & biological oceanography, nutrient biogeochemistry and molecular biology were obtained from mooring HG-IV-S-4 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of three Seabird SBE37 microcats (nominal depths: 18m, 23m, 47m; sampling interval 1h), two Seabird SBE56 temperature loggers (nominal depths: 28m, 38m; sampling interval 30s), one Wetlabs ECO Triplet fluorometer (nominal depth: 23m; sampling interval 2h) and one Wetlabs ECO PAR sensor (nominal depth: 23m; sampling interval 2h). One ISUS nitrate sensor (nominal depth: 23m) was flooded and no data is available. The mooring also included a McLane RAS water sampler (nominal depth: 23m) and a McLane PPS phytoplankton sampler (nominal depth: 25m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-IV-S-4; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS121; PS121_26-2; PS121_26-2,PS126_3-4; PS126; PS126_3-4
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 82
    Publication Date: 2024-04-30
    Description: Time-series data of physical & biological oceanography, nutrient biogeochemistry and molecular biology were obtained from mooring F4-W-2 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of one Seabird SBE37 microcat (nominal depths: 249m; sampling interval 1h), one Satlantics SUNA nitrate sensor (nominal depth: 249m; sampling interval 6h), one Sunburst SAMI-pCO2 sensor (nominal depth: 249m; sampling interval 2h) and one Sunburst SAMI-pH sensor (nominal depth: 249m; sampling interval 3h). The mooring also included a McLane RAS water sampler (nominal depth: 249m). The profiling SBE19plus system that was operated on the NGK winch (nominal depth: 153m) was lost. Additionally, the available data could not be downloaded from the main controller due to a corrupt SD card. Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; F4-W-2; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS121; PS121_13-3; PS121_13-3,PS126_9-4; PS126; PS126_9-4
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 83
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography and ocean current velocities were obtained from mooring HG-N-S-1 in the Fram Strait in September 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of five Seabird SBE37 microcats (nominal depths: 29m, 45m, 72m, 244m, 394m; sampling interval 1h), five Seabird SBE56 temperature loggers (nominal depths: 39m, 94m, 144m, 315m; sampling interval 30s), one upward-looking RDI Workhorse 300kHz ADCP (nominal depth: 44m; sampling interval 1h) and one upward-looking RDI Workhorse Longranger ADCP (nominal depth: 394m; sampling interval 1h). The top float and attached SBE37 were lost a few months after deployment. Consequently, the upper 50 m of line, including one SBE37, two SBE56s and the 300kHz ADCP fell below the second set of floats at 50 m, which makes the ADCP data basically unusable. One SBE56 (nominal depth: 194m) was also lost due to a failure of the plastic attachment. Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; current velocity; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-N-S-1; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS121; PS121_44-1; PS121_44-1,PS126_19-4; PS126; PS126_19-4
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 84
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring F4-S-3 in the Fram Strait in July 2018 - August 2019 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of two Seabird SBE37 microcats (nominal depths: 16m, 21m, 47m; sampling interval 1h), one Seabird SBE56 temperature logger (nominal depth: 38m; sampling interval: 30s), one Wetlabs ECO PAR sensor (nominal depth: 21m; sampling interval 2h), one Wetlabs ECO Triplet fluorometer (nominal depth: 21m; sampling interval 2h), one Satlantics SUNA nitrate sensor (nominal depth: 21m; sampling interval 6h), one Sunburst SAMI-pCO2 sensor (nominal depth: 21m; sampling interval 2h) and one Sunburst SAMI-pH sensor (nominal depth: 21m; sampling interval 3h). The mooring also included a McLane RAS water sampler (nominal depth: 21m), a McLane PPS phytoplankton sampler (nominal depth: 23m) and two sediment traps (nominal depths: 204m, 613m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; F4-S-4; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS121; PS121_13-2; PS121_13-2,PS126_9-2; PS126; PS126_9-2
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 85
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography, ocean current velocities and hydroacoustics were obtained from mooring F4-19 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of 7 Seabird SBE37 microcats (nominal depths: 76m, 153m, 253m, 402m, 502m,731m, 1204m; sampling interval 1h), four Seabird SBE56 temperature loggers (nominal depths: 53m, 102m, 203m, 323m; sampling interval 30s), one upward-looking RDI Workhorse 300kHz ADCP (nominal depth: 53m; sampling interval 1h), one upward-looking RDI Workhorse Longranger ADCP (depth: 382m; sampling interval 1h) and two Nortek Aquadopp current meters (nominal depths: 730m, 1205m; sampling interval 20min). The 300 kHz ADCP stopped recording after 3 months due to a battery failure. The mooring also included an ASL Acoustic Zooplankton Fish Profiler (nominal depth: 103m; data archived elsewhere) and a Develogic Sonovault (nominal depth: 800m; data archived elsewhere). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: ADCP; Arctic Ocean; AWI_PhyOce; AZFP; Binary Object; Binary Object (File Size); CTD; current velocity; F4-19; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; hydroacoustics; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS121; PS121_13-1; PS121_13-1,PS126_9-3; PS126; PS126_9-3; Sonovault
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 86
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography, ocean current velocities and carbon/particle export were obtained from mooring HG-IV-FEVI-40 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of five Seabird SBE37 microcats (nominal depths: 79m, 257m, 404m, 1204m, 2530m; sampling interval 1h), four Seabird SBE56 temperature loggers (nominal depths: 104m, 154m, 204m, 329m; sampling interval 30s), one Nortek Aquadopp current meter (nominal depth: 754m; sampling interval 20 min), one RDI Longranger ADCP (nominal depth: 413m; sampling interval 1h) and four AADI Seaguard current meters (nominal depths: 207m, 1234m, 2352m, 2528m; sampling interval 1h). The mooring also included three sediment traps (nominal depths: 200m, 1227m, 2345m) and one BioOptical Platform (nominal depth: 569m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: ADCP; Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; current velocity; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-IV-FEVI-40; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS121; PS121_26-3; PS121_26-3,PS126_3-5; PS126; PS126_3-5
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Expected Availability
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  • 87
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography, ocean current velocities and carbon/particle export were obtained from mooring HG-N-FEVI-39 in the Fram Strait in September 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of two Seabird SBE37 microcats (nominal depths: 57m, 2646m; sampling interval 1h), two AADI RCM11 current meters (nominal depths: 2468m, 2644m; sampling interval 1h/2h) and one AADI Seaguard current meter (nominal depth: 230m; sampling interval 1h). The mooring also included two sediment traps (nominal depths: 223m, 2461m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; current velocity; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-N-FEVI-39; Long-term Investigation at AWI-Hausgarten off Svalbard; MOOR; Mooring; North Greenland Sea; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS121; PS121_46-3; PS121_46-3,PS126_18-8; PS126; PS126_18-8
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 88
    Publication Date: 2024-04-30
    Description: Time-series data of physical & biological oceanography, ocean current velocities, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring HG-EGC-6 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of three Seabird SBE37 microcats (nominal depths: 67m, 236m, 453m; sampling interval 1h), three AADI RCM11 current meters (nominal depths: 74m, 243m, 456m; sampling interval 1h), one AADI Seaguard current meter (nominal depth: 981m, sampling interval 1h), one Wetlabs ECO PAR sensor (nominal depth: 67m; sampling interval 2h), one Wetlabs ECO Triplet fluorometer (nominal depth: 67m; sampling interval 2h), two Satlantic SUNA nitrate sensors (nominal depths: 67m, 236m; sampling interval 6h), two Sunburst SAMI-pCO2 sensors (nominal depths: 67m, 236m; sampling interval 2h) and two Sunburst SAMI-pH sensors (nominal depths: 67m, 236m; sampling interval 3h). The mooring also included two McLane RAS water samplers (nominal depths: 67m, 236m) and two sediment traps (nominal depths: 449m, 522m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; current velocity; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-EGC-6; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS121; PS121_31-3; PS121_31-3,PS126_21-4; PS126; PS126_21-4
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 89
    Publication Date: 2024-04-30
    Keywords: 370-C0023A; calculated, 2 sigma; Chikyu; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp370; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Multicollector-ICP-MS Neptune plus, ThermoScientific; PFA nebulizer (50 µl) and a cyclonic/Scott quartz spray chamber, standard-sample bracketing method with IRMM-014 according to Schoenberg & van Blanckenburg (2005); Nankai Trough; Replicates; Sample code/label; Sample code/label 2; Sample ID; δ56/54Fe, acetate-leached; δ56/54Fe, acetate-leached, standard deviation; δ56/54Fe, hydroxylamine-HCl-leached; δ56/54Fe, hydroxylamine-HCl-leached, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 117 data points
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  • 90
    Publication Date: 2024-04-30
    Keywords: 370-C0023A; Aluminium; calculated, 2 sigma; Chikyu; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp370; Inductively coupled plasma–optical emission spectrometer (ICP-OES), Thermo Fisher Scientific Inc., iCAP 7400; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; IODP Depth Scale Terminology; Iron; Iron, acetate-leached; Iron, dithionite-leached; Iron, hydroxylamine-HCl-leached; Iron, oxalate-leached; Iron, reactive; Multicollector-ICP-MS Neptune plus, ThermoScientific; PFA nebulizer (50 µl) and a cyclonic/Scott quartz spray chamber, standard-sample bracketing method with IRMM-014 according to Schoenberg & van Blanckenburg (2005); Nankai Trough; Replicates; Sample code/label; Sample code/label 2; Sample ID; Titanium; δ56/54Fe, acetate-leached; δ56/54Fe, acetate-leached, standard deviation; δ56/54Fe, hydroxylamine-HCl-leached; δ56/54Fe, hydroxylamine-HCl-leached, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 471 data points
    Location Call Number Expected Availability
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  • 91
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 388358 data points
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  • 92
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401252 data points
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  • 93
    Publication Date: 2024-04-30
    Description: Time-series data of physical oceanography and ocean current velocities were obtained from mooring F2-20 in the Fram Strait from July 2020 to July 2022 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV MARIA S. MERIAN expedition MSM93 and recovered during RV POLARSTERN expedition PS131. The attached archive contains raw data files of three Seabird SBE37 MicroCATs (nominal depths: 17m, 251m, 777m; sampling interval 30m/1h), 10 Seabird SBE56 temperature loggers (nominal depths: 17m, 32m, 52m, 95m, 145m, 200m, 301m, 351m, 402m, 453m; sampling interval 60s), one RDI Longranger ADCP (nominal depth: 401m; sampling interval 2h) and one Nortek Aquadopp current meter (nominal depth: 726m; sampling interval 1h). Auxiliary information such as sensor calibration sheets, mooring diagrams, and schedule files are also provided, if applicable. The SBE56 at 402m was lost. The SBE37 at 251m had power issues and stopped recording after 2 months.
    Keywords: ADCP; Arctic Ocean; ATWAICE; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; Event label; F2-20; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 18-1_33; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; Maria S. Merian; MOOR; Mooring; MSM93; MSM93_13-5; MSM93_13-5, PS131_9-1; North Greenland Sea; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS131; PS131_9-1
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Expected Availability
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  • 94
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401760 data points
    Location Call Number Expected Availability
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  • 95
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 375678 data points
    Location Call Number Expected Availability
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  • 96
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 400844 data points
    Location Call Number Expected Availability
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  • 97
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 388748 data points
    Location Call Number Expected Availability
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  • 98
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 386968 data points
    Location Call Number Expected Availability
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  • 99
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401558 data points
    Location Call Number Expected Availability
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  • 100
    facet.materialart.
    Unknown
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Publication Date: 2024-04-30
    Keywords: Air temperature at 2 m height; AWIPEV; AWIPEV_based; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Direct radiation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave upward radiation; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Pyranometer, Kipp & Zonen, CMP22, SN 100218, WRMC No. 11024; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11027; Pyranometer, Kipp & Zonen, CMP22, SN 140005, WRMC No. 11028; Pyrgeometer, Eppley, PIR, SN 28859 F3, WRMC No. 11003; Pyrgeometer, Eppley, PIR, SN 28895 F3, WRMC No. 11004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 100441, WRMC No. 11019; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401593 data points
    Location Call Number Expected Availability
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