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  • 1
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    Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (July 2022 - December 2023) (2024)
    PANGAEA
    Details
    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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    DATA PANGAEA
  • 2
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    Lipid biomarkers as pH proxies of sediment core NGBA19 (2024)
    PANGAEA
    Details
    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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    DATA PANGAEA
  • 3
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    Geochemistry of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    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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    DATA PANGAEA
  • 4
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    Modelled age-depth profiles of two ice core drill sites on Little Dome C, Antarctica (2024)
    PANGAEA
    Details
    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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    DATA PANGAEA
  • 5
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    CLAM age model and pollen profile of sediment core Kohuora (2017)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; Agathis; Alectryon; Apiaceae; Aristotelia; Ascarina; Astelia; Asteraceae; Brassicaceae; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Calocedrus; Campanulaceae; cf. Podocarpus; Chenopodiaceae; Classical age-modeling approach, CLAM (Blaauw, 2010); Collospermum; Coprosma; Cordyline; Coriaria; Counting, palynology; Cyathea dealbata-type; Cyathea smithii-type; Cyperaceae; Dacrycarpus; Dacrydium; DEPTH, sediment/rock; Dicksonia; Dodonaea; Drosera; Dysoxylum; Elaeocarpus; Empodisma; Epacridaceae; Gentiana; Gleichenia; Goodeniaceae; Griselinia; Halocarpus; Haloragis; Hebe; Hibiscus; Hoheria; Ileostylus; Isoetes; Ixerba; Knightia; Kohuora; Lagarostrobus; Laurelia; Leptospermum-type; Leucopogon fasciculatus; Litsea; Metrosideros; Muehlenbeckia; Myoporum; Myriophyllum; Myrsine; Neomyrtus; Nestegis; Nothofagus; Nothofagus menziesii; Passiflora; Peraxilla; Phormium; Phyllocladus; Phymatosorus; Pinus; Pittosporum; Plagianthus; Plantago; Poaceae; Podocarpus; Pollen indeterminata; Polypodiales; Pomaderris; Potamogeton; Pratia; Prumnopitys; Pseudopanax; Pseudowintera; Pteridium; Quintinia; Ranunculaceae; Rhopalostylis; Ripogonum; Rubus; Sample ID; Schefflera; Sphagnum; Syzygium; Tupeia; Type of age model; Typha-type; Urticaceae; Weinmannia
    Type: Dataset
    Format: text/tab-separated-values, 14234 data points
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    DATA PANGAEA
  • 6
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    Geochemical composition of identified volcanic events from B19, TUNU2013, and RECAP Greenland ice cores and correlating proximal material (2024)
    PANGAEA
    Details
    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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  • 7
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    CLAM age model and pollen profile of sediment core Megali_Limni (2017)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Abies; Abrupt Climate Changes and Environmental Responses; Accumulation model; Acer; ACER; Alnus; Apiaceae; Armeria; Artemisia; Asteraceae; Betula; Brassicaceae; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Campanula; Carpinus betulus; Carpinus orientalis/Ostrya; Caryophyllaceae; Castanea; Centaurea; cf. Asphodelus albus; cf. Cephalanthera; cf. Echium; cf. Hypecoum; cf. Hypericum; cf. Iris; cf. Linum; cf. Saxifraga stellaris; Chenopodiaceae; Cistus; Classical age-modeling approach, CLAM (Blaauw, 2010); Convolvulus; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Dipsacaceae; Dryopteris; Ephedra distachya-type; Ephedra fragilis-type; Ericaceae; Euphorbiaceae; Fagus; Filipendula; Fraxinus; Gentianaceae; Hedera helix; Helianthemum; Hippophae; Ilex; Indeterminable; Juniperus; Knautia; Lamiaceae; Leguminosae; Lemna; Ligustrum; Liliaceae; Lycopodium; Lythrum; Megali_Limni; Mentha-type; Moraceae; Myriophyllum; Myrtus; Nuphar; Nymphaea alba-type; Olea; Papaveraceae; Phillyrea; Pinus; Plantago; Poaceae; Polygonum; Polypodiales; Polypodium; Potamogeton; Primulaceae; Quercus; Ranunculus; Rhamnaceae; Rosaceae; Rubiaceae; Rumex; Salix; Sample ID; Sanguisorba; Saxifragaceae; Scrophulariaceae; Sparganium; Thalictrum; Tilia cordata; Type of age model; Typha latifolia-type; Ulmus; Urtica; Utricularia; Valerianaceae
    Type: Dataset
    Format: text/tab-separated-values, 22125 data points
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    DATA PANGAEA
  • 8
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    Arthropod abundances in Palatinate vineyards under different pesticide treatments 2018 (2023)
    PANGAEA
    Details
    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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    DATA PANGAEA
  • 9
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    Seawater carbonate chemistry and cellular and alterations in gene expression in Mercenaria mercenaria (2024)
    PANGAEA
    Details
    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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  • 10
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    Laboratory experiments of nitrate uptake kinetic of the green tide reference algae Ulva spp. during two successive productive seasons (2022-2023) observed on Brittany coasts (2024)
    PANGAEA
    Details
    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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    DATA PANGAEA
  • 11
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    Pollen profile MINDGES5, Mindelsee, Germany (2018)
    PANGAEA
    In:  European Pollen Database (EPD)
    Details
    Publication Date: 2024-05-01
    Keywords: Abies; Abies: stomata; Acer; Achillea-type; Aconitum-type; Adonis aestivalis-type; Aesculus hippocastanum; Aethusa cynapium; AGE; Agrimonia-type; Agrostemma githago; Alchemilla group; Alisma group; Allium-type; Alnus glutinosa-type; Alnus viridis; Anemone nemorosa-type; Anethum graveolens; Angelica sylvestris; Anthericum; Anthriscus cerefolium; Anthriscus sylvestris; Anthriscus-type; Anthyllis vulneraria; Aphanes arvensis-type; Apiaceae undifferentiated; Apium inundatum-type; Arctium lappa-type; Artemisia; Asparagus officinalis-type; Asplenium; Asteroideae; Astragalus-type; Astrantia major-type; Athyrium; Avena-type; Ballota-type; Betula; Blechnum spicant; Borago officinalis; Botrychium; Botryococcus; Brassicaceae; Bryidae; Bupleurum; Buxus sempervirens; Caldesia parnassifolia; Calluna vulgaris; Caltha-type; Calystegia; Campanulaceae; Campanula trachelium-type; Cannabis/Humulus; Carduus-type; Carpinus betulus; Carum carvi; Caryophyllaceae undifferentiated; Castanea sativa; Caucalis platycarpos; Centaurea cyanus; Centaurea jacea; Centaurea jacea-type; Centaurea montana-type; Centaurea scabiosa; Centaurium pulchellum-type; Cephalanthera-type; Cerastium fontanum-type; Cerealia-type; Chaenorhinum minus; Chaerophyllum hirsutum-type; Charcoal; Chelidonium majus; Chenopodiaceae; Cichorioideae; Cicuta virosa; Cirsium; Cladium mariscus; Coccus; Colchicum autumnale; Conium maculatum; Consolida-type; Convolvulus arvensis; Cornus mas; Cornus sanguinea; Coronilla varia-type; Corydalis cava-type; Corylus avellana; Counting, palynology; Cyperaceae undifferentiated; Daphne; Daucus carota; DEPTH, sediment/rock; Descurainia sophia-type; Digitalis; Diphasium alpinum-type; Drosera; Dryopteris dilatata; Dryopteris-type; Echinops; Echium; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Ericaceae undifferentiated; Eryngium; Euonymus; Eupatorium cannabinum-type; Euphorbia; Fabaceae undifferentiated; Fagus sylvatica; Falcaria vulgaris-type; Fallopia; Filipendula; Frangula alnus; Fraxinus excelsior; Fumaria; Galeopsis-type; Genista-type; Gentiana pneumonanthe-type; Geranium pusillum-type; Geum-type; Gratiola officinalis; Hedera helix; Helianthemum; Heracleum; Heracleum mantegazzianum; Heracleum sphondylium; Hippophae rhamnoides; Hordeum-type; Humulus/Cannabis; Humulus lupulus; Hydrocotyle vulgaris; Hyoscyamus niger; Hypericum; Hypericum perforatum-type; Ilex aquifolium; Impatiens; Indeterminata; Iris pseudacorus-type; Jasione montana-type; Juglans regia; Juniperus communis; Kickxia; Knautia; Lamiaceae; Lamium; Lamium album-type; Larix decidua-type; Lathyrus-type; Legousia; Leucojum-type; Ligustrum vulgare; Liliaceae; Linum catharticum-type; Linum usitatissimum-type; Littorella uniflora; Lonicera xylosteum-type; Lotus; Lycopodium (counted); Lycopodium annotinum; Lycopodium clavatum-type; Lycopodium undifferentiated; Lycopus/Mentha; Lysimachia vulgaris-type; Lythrum; Magnoliaceae; Maianthemum; Malus-type; Malva neglecta-type; Medicago lupulina-type; Melampyrum; Mentha-type; Menyanthes trifoliata; Mercurialis; Mindelsee; MINDGES5; Monolete spore(s); Myriophyllum spicatum; Myriophyllum verticillatum; Nuphar; Nymphaea; Nymphaeaceae: base-cells; Odontites-type; Olea europaea; Onobrychis; Ophioglossum vulgatum; Orlaya grandiflora; Ornithogalum umbellatum-type; Oxalis acetosella; Panicum-type; Papaver; Papaver rhoeas-type; Parnassia palustris; Pediastrum undifferentiated; Pedicularis; Peplis portula; Peucedanum palustre-type; Phyteuma-type; Picea abies; Pimpinella major-type; Pimpinella saxifraga-type; Pinus; Pinus cembra-type; Pinus sylvestris-type; Plantaginaceae; Plantago lanceolata; Plantago major; Plantago major/media; Plantago media; Platanus orientalis; Pleurospermum austriacum; Poaceae undifferentiated; Polemonium; Polygala comosa-type; Polygonatum verticillatum; Polygonum amphibium; Polygonum aviculare-type; Polygonum bistorta; Polypodiaceae: sporangia; Polypodiaceae undifferentiated; Polypodium vulgare; Populus; Potamogeton; Potentilla-type; Prunella-type; Prunus-type; Pteridium aquilinum; Pulsatilla-type; Quercus; Ranunculaceae; Ranunculus acris-type; Ranunculus arvensis; Reseda; Rhamnus; Rheum; Rhinanthus-type; Rhododendron; Rosa; Rosaceae undifferentiated; Rubiaceae; Rumex aquaticus-type; Rumex obtusifolius-type; Rumex undifferentiated; Ruta graveolens; Salix; Salvia officinalis-type; Salvia pratensis-type; Sambucus ebulus; Sambucus nigra/S. racemosa; Sample volume; Sanguisorba minor; Sanguisorba officinalis; Sanicula europaea; Scabiosa columbaria-type; Scabiosa-type; Scandix pecten-veneris; Scleranthus; Scrophulariaceae undifferentiated; Scrophularia-type; Secale cereale; Selinum carvifolia; Senecio-type; Silaum silaus; Silene dioica-type; Silene-type; Silene vulgaris-type; Solanum dulcamara; Sorbus-type; Sparganium; Sparganium-type; Spergula arvensis; Spergularia-type; Sphagnum; Spores; Spores, trilete; Succisa; Symphytum; Taxus baccata; Tetragonolobus maritimus; Thalictrum; Thelypteris palustris; Tilia; Torilis japonica; Trifolium pratense-type; Trifolium repens-type; Trifolium undifferentiated; Triticum-type; Trollius europaeus; Typha latifolia-type; Ulmus; Urtica; Urtica/Parietaria; Ustulina deusta; Utricularia; Vaccinium-type; Valeriana; Valeriana dioica; Valeriana montana-type; Valeriana officinalis-type; Varia; Verbascum; Veronica; Viburnum; Viburnum lantana; Viburnum opulus; Vicia faba; Vicia-type; Vincetoxicum hirundinaria; Viscum album; Vitis; Volume of spike added; Xanthium spinosum-type; Zea mays
    Type: Dataset
    Format: text/tab-separated-values, 123070 data points
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  • 12
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    Seawater carbonate chemistry and coccolithophores and diatoms resilient to oceanalkalinity enhancement (2024)
    PANGAEA
    Details
    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
    Location Call Number Expected Availability
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  • 13
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    Epiphytic orchid community composition in managed and natural moist evergreen Afromontane forest in SW Ethiopia (2013)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Aerangis brachycarpa; Aerangis luteo-alba; Aerangis thomsonii; Angraecum humile; Bulbophyllum intertextum; Bulbophyllum josephi; Bulbophyllum sp.; Circumference; Code; Diaphananthe candida; Diaphananthe fragrantissima; Diaphananthe rohrii; Diaphananthe tenuicalcar; Distance; Ethiopia; Event label; Ferns; Fetche; Garuke; Gera; HAND; Host tree; Identification; Microcoelia globulosa; Orchidaceae; Polystachya bennettiana; Polystachya caduca; Polystachya cultriformis; Polystachya eurychila; Polystachya sp.; Polystachya steudneri; Polystachya tessellata; Rhipidoglossum adoxum; Sampling by hand; Stolzia grandiflora; Stolzia repens; Tree height
    Type: Dataset
    Format: text/tab-separated-values, 11179 data points
    Location Call Number Expected Availability
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  • 14
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    Gastropoda, scaphopoda and amphineura abundance of surface sediments of the Atlantic continental shelf off Southern Spanish Sahara, West Africa (Table 2) (1975)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Abundance estimate; Acanthochiton adansoni; Acinopsis cancellata; Acinopsis cancellina; Acinopsis subcrenulata; Actaeon tornatilis; Acteocina knockeri; Alectrion (Zeuxis) antiquatus; Alectrion (Zeuxis) semistriatus; Alvania dictyophora; Alvaniella scabra; Aporrhais senegalensis; Asthenotoma (Drilliola) emendata; Atys brochii; BCR; Bela (Ishnula) turgida; Bela adansoni; Bela brachystoma; Bittium reticulatum; Box corer (Reineck); Bullia miran; Cadulus (Dischides) politus; Caecum (Brocchina) crassum; Caecum sp.; Calliostoma granulata; Calliostoma sp.; Calpodaspis pusilla punctata; Calyptraea chinensis; Cancellaria cancellata; Capulus hungaricus; Cavolinia longirostris; Cerithiella metula; Cerithiopsis minima; Cerithiopsis sp.; Cerithiopsis tubercularis; Charonia sp.; Chauvetia (Chauvetiella) vulpecula; Chauvetia (Donovaniella) minima; Chrysallida (Blesla) flexuosa; Chrysallida (Ividiella) excavata; Chrysallida (Perparthenina) indistincta; Circulus tricarinatus; Clanculus kraussi; Clavatula bimarginata; Clavatula sacerdos; Clavus (Crassopleura) maravignae; Couthouyia senegalensis; Crepidula porcellana; Cyclostrema annuliferum; Cymatium (Monoplex) parthenopaeum; Cymatium costatum; Cymatium tranquebaricum; Cymbium rubigniesum; Cyrbasia pulchella; Cythara (Cytharella) stossiciana; Cythara (Ithycythara) obtusa; Cythara (Lyromangelia) merlini; Cythara (Mangelia) attenuata; Dentalium (Antalis) congoensis; Dentalium (Antalis) senegalense; Dentalium (Antalis) sp.; DEPTH, sediment/rock; Desmoulea pinguis; Diaphana minuta; Diodora cf. graeca; Dredge, box; Dredge, frame; DRG_B; DRG_F; East Atlantic; Elevation of event; Epitonium (Hyaloscala) cf. clathratulum; Epitonium (Parviscala) cf. algerianum; Epitonium (Parviscala) cf. tiberii; Epitonium sp.; Erato voluta; Eulima (Baclis) polita; Eulima (Vitreolina) devians; Eulima (Vitreolina) monterosatoi; Eulimella cf. praelonga; Eulimella cf. scillae; Event label; Fossarus ambiguus; Fossarus sulcosus; Fulmentum sepimentum; Fusus (Sinistralia) maroccanus; Genota mitraeformis papilis; Gibberula chudeaui; Gibberula milliaria; Gibberula philippii; Gibberulina occulta; Gibbula cf. joubini; Gibbula umbilicaris; GIK/IfG; GIK12382-1; GIK12385-3; GIK12387-1; GIK12388-2; GIK12388-3; GIK12389-1; GIK12390-1; GIK12391-1; Gyrodisca seguenzianus; Hannonia tingitana; Hyalina (Volvarina) deliciosa; Hydrobia cf. acuta; Institute for Geosciences, Christian Albrechts University, Kiel; Ischnochiton cessaci; Jujubinus striatus; Laevidentalium rubescens tenuifissum; Lamellaria perspicua; Latitude of event; Leiostraca subulata; Littorina sp.; Longitude of event; Lunatia alderi; M25; Marginella cleryi; Marginella glabella; Marginella pseudofaba; Marginella rosea; Marginella sp.; Mathilda quadricarinata elegantissima; Mesalia brevialis; Meteor (1964); Murex (Bolinus) cornatus; Murex bourgeoisi; Nacca fulminea; Nacca fulminea cruentata; Nassa (Amyclina) sp.; Nassa (Amyclina) trifasciata; Nassa (Hima) denticulata; Nassa (Hima) incrassata; Nassa (Hima) reticulata; Naticarius cf. dillwyni; Naticarius fanel; Naticarius marochiensis; Nisso sp.; Odostomia (Jordaniella) marginata; Odostomia cf.. gilsoni; Opalia (Dentiscala) crenata; Peringia ulvae; Persicula cingulata; Persicula cornea; Philene (Hermania) catena; Philene aperta; Philippia pseudoperspectiva; Polynices lacteus; Pusula (Dolichupis) candidula; Putilla sp.; Raphitoma (Cirillia) linearis; Raphitoma (Philbertia) cf. haullevillei; Raphitoma (Philbertia) papillosa; Raphitoma (Philbertia) thielei; Raphitoma hystrix; Raphitoma reticulata; Raphitoma rudis cylindrica; Retusa truncatula; Rhizorus acuminatus; Ringicula conformis; Rissoa (Zippora) sp.; Scissurella costata; Selia carinata; Semicassis (Tylocassis) saburon; Semicassis (Tylocassis) undulata; Sigaretus bifasciatus; Skenopsis pellucida; Solariella dereimsi; Tectonatica adansoni; Tectonatic flammulata; Terebra senegalensis; Thais (Stramonita) haemastoma; Torinia malani; Tornus subcarinatus; Tricolia pulla; Triphora perversa; Tritonalia decussata; Tudicla porphyrostoma; Turboella (Mutiturboella) prismatica; Turboella cf. plicatula; Turboella radiata; Turbona cf. subsoluta; Turbonilla (Chemnitzia) campanellae; Turbonilla (Pyrgiscus) formosa; Turbonilla (Pyrgiscus) rufa; Turbonilla sp.; Turris undatiruga; Turritella cf. praetermissa; Turritella meta; Turritella torulosa; Turritella ungulina; Typhis (Typhinellus) tetrapterus; van Veen Grab; VGRAB; Xenophora senegalensis
    Type: Dataset
    Format: text/tab-separated-values, 433 data points
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  • 15
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    (Table S5) Mean cover of vascular plant species from 31 plots at the northeast side of the lake Patjujaure (2012)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Agrostis mertensii; Agrostis mertensii, standard deviation; Alchemilla alpina; Alchemilla alpina, standard deviation; Antennaria alpina; Antennaria alpina, standard deviation; Anthoxanthum nipponicum; Anthoxanthum nipponicum, standard deviation; Astragalus alpinus; Astragalus alpinus, standard deviation; Bartsia alpina; Bartsia alpina, standard deviation; Betula nana; Betula nana, standard deviation; BIO; Biology; Bistorta vivipara; Bistorta vivipara, standard deviation; Calamagrostis lapponica; Calamagrostis lapponica, standard deviation; Calamagrostis neglecta; Calamagrostis neglecta, standard deviation; Cardamine pratensis, standard deviation; Cardamine pratensis angustifolia; Carex bigelowii; Carex bigelowii, standard deviation; Carex sp.; Carex sp., standard deviation; Carex vaginata; Carex vaginata, standard deviation; Cassiope hypnoides; Cassiope hypnoides, standard deviation; Coeloglossum viride; Coeloglossum viride, standard deviation; Comarum palustre; Comarum palustre, standard deviation; Corallorhiza trifida; Corallorhiza trifida, standard deviation; DATE/TIME; Deschampsia alpina; Deschampsia alpina, standard deviation; Deschampsia flexuosa; Deschampsia flexuosa, standard deviation; Empetrum hermaphroditum; Empetrum hermaphroditum, standard deviation; Epilobium sp.; Epilobium sp., standard deviation; Equisetum arvense; Equisetum arvense, standard deviation; Equisetum palustre; Equisetum palustre, standard deviation; Equisetum pratense; Equisetum pratense, standard deviation; Equisetum scirpoides; Equisetum scirpoides, standard deviation; Eriophorum angustifolium; Eriophorum angustifolium, standard deviation; Euphrasia wettsteinii; Euphrasia wettsteinii, standard deviation; Festuca ovina; Festuca ovina, standard deviation; Festuca rubra; Festuca rubra, standard deviation; Gentiana nivalis; Gentiana nivalis, standard deviation; Gnaphalium supinum; Gnaphalium supinum, standard deviation; Hieracium sp.; Hieracium sp., standard deviation; Huperzia selago; Huperzia selago, standard deviation; Juncus biglumis; Juncus biglumis, standard deviation; Juniperus communis; Juniperus communis, standard deviation; Lapland, northern Sweden; Leontodon autumnalis; Leontodon autumnalis, standard deviation; Luzula multiflora, standard deviation; Luzula multiflora frigida; Parnassia palustris; Parnassia palustris, standard deviation; Petasites frigidus; Petasites frigidus, standard deviation; Phleum alpinum; Phleum alpinum, standard deviation; Pinguicula alpina; Pinguicula alpina, standard deviation; PMK_Patjujaure; Poa alpina; Poa alpina, standard deviation; Poa arctica; Poa arctica, standard deviation; Potentilla Crantzii; Potentilla crantzii, standard deviation; Pyrola minor; Pyrola minor, standard deviation; Ranunculus spp.; Ranunculus spp., standard deviation; Rumex acetosella; Rumex acetosella, standard deviation; Salix arbuscula; Salix arbuscula, standard deviation; Salix glauca; Salix glauca, standard deviation; Salix herbacea; Salix herbacea, standard deviation; Salix lanata; Salix lanata, standard deviation; Salix polaris; Salix polaris, standard deviation; Salix reticulata; Salix reticulata, standard deviation; Saussurea alpina; Saussurea alpina, standard deviation; Selaginella selaginoides; Selaginella selaginoides, standard deviation; Sibbaldia procumbens; Sibbaldia procumbens, standard deviation; Taraxacum spp.; Taraxacum spp., standard deviation; Thalictrum alpinum; Thalictrum alpinum, standard deviation; Tofieldia pusilla; Tofieldia pusilla, standard deviation; Trollius europaeus; Trollius europaeus, standard deviation; Vaccinium myrtillus; Vaccinium myrtillus, standard deviation; Vaccinium uliginosum; Vaccinium uliginosum, standard deviation; Vaccinium vitis-idaea; Vaccinium vitis-idaea, standard deviation; Veronica alpina; Veronica alpina, standard deviation; Viola biflora; Viola biflora, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 528 data points
    Location Call Number Expected Availability
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  • 16
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    Seawater carbonate chemistry and the immune performance of Mercenaria mercenaria to infection by Vibrio species (2024)
    PANGAEA
    Details
    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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  • 17
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    Epiphytic orchid diversity (sum of all tree zones) found in trees sampled within a SW Ethiopian Afromontane rainforest (2015)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Aerangis brachycarpa; Aerangis luteo-alba; Aerangis thomsonii; Angraecum humile; Bulbophyllum intertextum; Bulbophyllum josephi; Bulbophyllum sp.; Circumference; Diaphananthe candida; Diaphananthe fragrantissima; Diaphananthe rohrii; Diaphananthe tenuicalcar; Ethiopia; HAND; Identification; Land use; Microcoelia globulosa; Polystachya bennettiana; Polystachya caduca; Polystachya cultriformis; Polystachya eurychila; Polystachya sp.; Polystachya steudneri; Polystachya tessellata; Rhipidoglossum adoxum; Sampling by hand; Stolzia grandiflora; Stolzia repens; SW_Ethiopia; Tree height
    Type: Dataset
    Format: text/tab-separated-values, 8814 data points
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  • 18
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    Epiphytic orchid diversity found in the shrub layer sampled within a SW Ethiopian Afromontane rainforest (2015)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Aerangis brachycarpa; Aerangis luteo-alba; Aerangis thomsonii; Angraecum humile; Bulbophyllum intertextum; Bulbophyllum josephi; Bulbophyllum sp.; Circumference; Diaphananthe candida; Diaphananthe fragrantissima; Diaphananthe rohrii; Diaphananthe tenuicalcar; Ethiopia; HAND; Identification; Land use; Microcoelia globulosa; Polystachya bennettiana; Polystachya caduca; Polystachya cultriformis; Polystachya eurychila; Polystachya sp.; Polystachya steudneri; Polystachya tessellata; Rhipidoglossum adoxum; Sampling by hand; Shrubs; Stolzia grandiflora; Stolzia repens; SW_Ethiopia; Tree height
    Type: Dataset
    Format: text/tab-separated-values, 9153 data points
    Location Call Number Expected Availability
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  • 19
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    Epiphytic orchid diversity in forest coffee plots in a SW Ethiopian Afromontane rainforest, split per tree zone (Z2 - Z5) (2015)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Aerangis brachycarpa; Aerangis luteo-alba; Aerangis thomsonii; Angraecum humile; Bulbophyllum intertextum; Bulbophyllum josephi; Bulbophyllum sp.; Diaphananthe candida; Diaphananthe fragrantissima; Diaphananthe rohrii; Diaphananthe tenuicalcar; Ethiopia; HAND; Identification; Microcoelia globulosa; Polystachya bennettiana; Polystachya caduca; Polystachya cultriformis; Polystachya eurychila; Polystachya sp.; Polystachya steudneri; Polystachya tessellata; Rhipidoglossum adoxum; Sampling by hand; Stolzia grandiflora; Stolzia repens; SW_Ethiopia; Zone
    Type: Dataset
    Format: text/tab-separated-values, 13343 data points
    Location Call Number Expected Availability
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  • 20
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    Epiphytic orchid diversity in semi-forest coffee plots in a SW Ethiopian Afromontane rainforest, split per tree zone (Z2 - Z5) (2015)
    PANGAEA
    Details
    Publication Date: 2024-05-01
    Keywords: Aerangis brachycarpa; Aerangis luteo-alba; Aerangis thomsonii; Angraecum humile; Bulbophyllum intertextum; Bulbophyllum josephi; Bulbophyllum sp.; Diaphananthe candida; Diaphananthe fragrantissima; Diaphananthe rohrii; Diaphananthe tenuicalcar; Ethiopia; HAND; Identification; Microcoelia globulosa; Polystachya bennettiana; Polystachya caduca; Polystachya cultriformis; Polystachya eurychila; Polystachya sp.; Polystachya steudneri; Polystachya tessellata; Rhipidoglossum adoxum; Sampling by hand; Stolzia grandiflora; Stolzia repens; SW_Ethiopia; Zone
    Type: Dataset
    Format: text/tab-separated-values, 19200 data points
    Location Call Number Expected Availability
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  • 21
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    Plant species richness and cover in pre-Alpine grasslands of southern Germany (2020)
    PANGAEA
    Details
    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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  • 22
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    Branched glycerol dialkyl glycerol tetraethers (brGDGTs) of sediment core NGBA19 (2024)
    PANGAEA
    Details
    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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  • 23
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    Hopane isomer ratios of sediment core NGBA19 (2024)
    PANGAEA
    Details
    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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  • 24
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    Radiocarbon dating of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    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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  • 25
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    Unknown
    Hopane carbon isotopic composition of sediment core NGBA19 (2024)
    PANGAEA
    Details
    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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  • 26
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    Element composition of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    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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  • 27
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    Bacon age-depth model of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    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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  • 28
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    Unknown
    Stable carbon isotopes of organic matter of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    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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  • 29
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    X-ray fluorescence (XRF) scanning data of sediment core EN21103 from Lake Ulu, eastern Siberia (2024)
    PANGAEA
    Details
    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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  • 30
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    Modelled age-depth profile at location of the Beyond EPICA drill site (BELDC) based on the sledge-borne DEep LOoking Radio Echo Sounder (DELORES) survey (2024)
    PANGAEA
    Details
    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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  • 31
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    Modelled age-depth profile at location of the Beyond EPICA drill site (BELDC) based on the Little Dome C-Very High Frequency radar system (LDC-VHF) survey (2024)
    PANGAEA
    Details
    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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  • 32
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    Modelled age-depth profile at location of the Million Year Ice Core project drill site (MYIC) based on the Little Dome C-Very High Frequency radar system (LDC-VHF) survey (2024)
    PANGAEA
    Details
    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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  • 33
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    Raw major element oxide data obtained by EPMA for volcanic events analysed from B19, TUNU2013, and RECAP ice cores (Greenland) between 750 and 940 CE (2024)
    PANGAEA
    Details
    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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  • 34
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    Modelled age-depth profile at location of the Million Year Ice Core project drill site (MYIC) based on the sledge-borne DEep LOoking Radio Echo Sounder (DELORES) survey (2024)
    PANGAEA
    Details
    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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  • 35
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    Raw major element oxide data obtained by EPMA for volcanic events analysed from two proximal sites from Iceland between 750 and 940 CE (2024)
    PANGAEA
    Details
    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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  • 36
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    Raw trace element data obtained by LA-ICP-MS for analysed tephra across 751-763 CE from one proximal site in Iceland (2024)
    PANGAEA
    Details
    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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  • 37
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    Secondary standards for major element oxide analyses for the geochemical composition of analysed volcanic events from B19, TUNU2013, and RECAP Greenland ice cores and correlating proximal material from Iceland between 750 and 940 CE (2024)
    PANGAEA
    Details
    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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  • 38
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    Secondary standards for trace element analyses for the geochemical composition of analysed tephra between 751 and 763 CE from B19, TUNU2013, and RECAP (Greenland ice cores) and correlating proximal material from Iceland (2024)
    PANGAEA
    Details
    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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  • 39
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    Raw trace element data obtained by LA-ICP-MS for analysed tephra across 751-763 CE from B19 and TUNU2013 ice cores (Greenland) (2024)
    PANGAEA
    Details
    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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  • 40
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    Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition (2023)
    Springer Nature
    In:  EPIC3Scientific Data, Springer Nature, 10(1), pp. 426-426, ISSN: 2052-4463
    Details
    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
    Format: application/pdf
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  • 41
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    C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars (2023)
    Cambridge University Press (CUP)
    In:  EPIC3Annals of Glaciology, Cambridge University Press (CUP), pp. 1-11, ISSN: 0260-3055
    Details
    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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    Fast Ice Thickness Distribution in the Western Ross Sea in Late Spring (2023)
    American Geophysical Union (AGU)
    In:  EPIC3Journal of Geophysical Research - Oceans, American Geophysical Union (AGU), 128(2), ISSN: 2169-9275
    Details
    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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    Lead fractions from SAR-derived sea ice divergence during MOSAiC (2024)
    Copernicus Publications
    In:  EPIC3The Cryosphere, Copernicus Publications, 18(3), pp. 1259-1285, ISSN: 1994-0416
    Details
    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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    COESS: Seafloor seeps in Japan Sea. [Full Depth drone video] (2024)
    University of Tokyo, Atmosphere and Ocean Research Institute | Tokyo, Japan
    Details
    Publication Date: 2024-05-01
    Description: Seafloor journey around methane seeps
    Description: Published
    Keywords: Methane ; Seeps ; COESS Project
    Repository Name: AquaDocs
    Type: Images/Video
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  • 45
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    5 Passos para Incentivar a Cultura Oceânica nas Escolas (2024)
    Eco e Mare de Ciencia
    Details
    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
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    Atlas Aquatica: Empowering Scuba Diving Ecotourism for Marine Conservation and the Blue Economy (2024)
    Atlas Aquatica Project
    Details
    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
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    Oceano sem mistérios : Construindo cidades azuis (2024)
    Conexao Oceano
    Details
    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
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    Type: Report
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    Garotas STEM: Histórias que Inspiram 2022 (2024)
    British Council
    Details
    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
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    Type: Report
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    Oceanum Humanitatis Forums (2024)
    Academia Brasileira Da Vela Educativa
    Details
    Publication Date: 2024-05-01
    Description: Unpublished
    Description: Not Known
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    Type: Conference Material
    Format: 12pp.
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    Advancing National Ocean Best Practices and Standards Workshop and Questionnaire Report (2024)
    National Environmental Science Program | Australia
    Details
    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
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    Type: Report
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    MONITOR: Mitigation of Natural Incidence Towards an increased Oceanic Resilience [Poster] (2024)
    Second Institute of Oceanography, MNR | China
    Details
    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
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    At-sea application of the comet assay to a deep-sea fish (2024)
    Details
    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
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    Type: Journal Contribution
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    Atmospheric Flash Drought in the Caribbean (2024)
    Details
    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
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    Type: Journal Contribution
    Format: pp.2177-2189
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    Transport inventories and exchanges of organic matter throughout the St. Lawrence Estuary continuum (Canada) (2024)
    Details
    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
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    All-Atlantic Blue Schools Network (2024)
    All-Atlantic Blue Schools Network | Santos, Brazil
    Details
    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
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    Type: Report
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    Warm conveyor belt activity over the Pacific: modulation by the Madden–Julian Oscillation and impact on tropical–extratropical teleconnections (2024)
    Details
    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
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    Type: Journal Contribution
    Format: pp.65-85
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    High diversity of Diaporthe species associated with pear shoot canker in China (2020)
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 132-162
    Details
    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
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  • 58
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    Gymnosporangium species on Malus: species delineation, diversity and host alternation (2020)
    Naturalis Biodiversity Center
    In:  Persoonia - Molecular Phylogeny and Evolution of Fungi vol. 45, pp. 68-100
    Details
    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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  • 59
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    Basic and other measurements of radiation at station Ny-Ålesund (2006-05 et seq) (2020)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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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  • 60
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    Pore water and solid phase data; short sediment cores from Maxwell Bay and Potter Cove, King George Island (Antarctica) (2018)
    PANGAEA
    In:  Supplement to: Henkel, Susann; Kasten, Sabine; Hartmann, Jan; Silva Busso, A; Staubwasser, Michael (2018): Iron cycling and stable Fe isotope fractionation in Antarctic shelf sediments, King George Island. Geochimica et Cosmochimica Acta, https://doi.org/10.1016/j.gca.2018.06.042
    Details
    Publication Date: 2024-04-30
    Description: Geochemical data were gained for short sediment cores from Maxwell Bay and Potter Cove (King George Island, Antarctica) in 2012 and 2013. We investigated the influence of different iron transport pathways and their effect on the early diagenetic cycling of this nutrient. The dataset includes pore water data (alkalinity, sulfate, Fe2+, NH4+) for 14 sites and solid phase data (including stable iron isotope data for sequentially extracted Fe pools) as well as pore water stable iron isotope data for two contrasting sites: one located at the glacier terminus and the other one at the discharge of a surficial oxic meltwater stream draining the ice-free Potter Peninsula.
    Keywords: GCUWI; Gravity corer, UWITEC; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Maxwell_Bay_STA05; Maxwell_Bay_STA06; Maxwell_Bay_STA08; Maxwell_Bay_STA09; Maxwell Bay, King George Island, Antarctic Peninsula; Potter_Cove_STA01; Potter_Cove_STA03; Potter_Cove_STA04; Potter_Cove_STA10; Potter_Cove_STA11; Potter_Cove_STA13; Potter_Cove_STA14; Potter_Cove_STA15; Potter_Cove_STA16; Potter_Cove_STA17; Potter Cove, King George Island, Antarctic Peninsula; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PUC; Push corer; SPP1158
    Type: Dataset
    Format: application/zip, 16 datasets
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  • 61
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    Geochemistry of sediment core HE337/001-1, North Sea (2015)
    PANGAEA
    In:  Supplement to: Henkel, Susann; Kasten, Sabine; Poulton, Simon W; Staubwasser, Michael (2016): Determination of the stable iron isotopic composition of sequentially leached iron phases in marine sediments. Chemical Geology, 421, 93-102, https://doi.org/10.1016/j.chemgeo.2015.12.003
    Details
    Publication Date: 2024-04-30
    Description: Reactive iron (oxyhydr)oxide minerals preferentially undergo early diagenetic redox cycling which can result in the production of dissolved Fe(II), adsorption of Fe(II) onto particle surfaces, and the formation of authigenic Fe minerals. The partitioning of iron in sediments has traditionally been studied by applying sequential extractions that target operationally-defined iron phases. Here, we complement an existing sequential leaching method by developing a sample processing protocol for d56Fe analysis, which we subsequently use to study Fe phase-specific fractionation related to dissimilatory iron reduction in a modern marine sediment. Carbonate-Fe was extracted by acetate, easily reducible oxides (e.g. ferrihydrite and lepidocrocite) by hydroxylamine-HCl, reducible oxides (e.g. goethite and hematite) by dithionite-citrate, and magnetite by ammonium oxalate. Subsequently, the samples were repeatedly oxidized, heated and purified via Fe precipitation and column chromatography. The method was applied to surface sediments collected from the North Sea, south of the Island of Helgoland. The acetate-soluble fraction (targeting siderite and ankerite) showed a pronounced downcore d56Fe trend. This iron pool was most depleted in 56Fe close to the sediment-water interface, similar to trends observed for pore-water Fe(II). We interpret this pool as surface-reduced Fe(II), rather than siderite or ankerite, that was open to electron and atom exchange with the oxide surface. Common extractions using 0.5 M HCl or Na-dithionite alone may not resolve such trends, as they dissolve iron from isotopically distinct pools leading to a mixed signal. Na-dithionite leaching alone, for example, targets the sum of reducible Fe oxides that potentially differ in their isotopic fingerprint. Hence, the development of a sequential extraction Fe isotope protocol provides a new opportunity for detailed study of the behavior of iron in a wide-range of environmental settings.
    Keywords: AWI_Paleo; HE337; HE337/001-1; HE337-1_MUC-1; Heincke; MUC; MultiCorer; North Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
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    Format: application/zip, 4 datasets
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  • 62
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    Nd-Sr isotopic composition of foraminifera and bulk sediments (2004)
    PANGAEA
    In:  Supplement to: Vance, Derek; Scrivner, Adam E; Beney, Patricia; Staubwasser, Michael; Henderson, Gideon M; Slowey, Niall C (2004): The use of foraminifera as a record of the past neodymium isotope composition of seawater. Paleoceanography, 19(2), PA2009, https://doi.org/10.1029/2003PA000957
    Details
    Publication Date: 2024-04-30
    Description: We present new isotopic data for sedimentary planktonic foraminifera, as well as for potential water column and sedimentary sources of neodymium (Nd), which confirm that the isotopic composition of the foraminifera is the same as surface seawater and very different from deep water and sedimentary Nd. The faithfulness with which sedimentary foraminifera record the isotopic signature of surface seawater Nd is difficult to explain given their variable and high Nd/Ca ratios, ratios that are often sedimentary foraminifera, ratios that are often much higher than is plausible for direct incorporation within the calcite structure. We present further data that demonstrate a similarly large range in Nd/Ca ratios in plankton tow foraminifera, a range that may be controlled by redox conditions in the water column. Cleaning experiments reveal, in common with earlier work, that large amounts of Nd are released by cleaning with both hydrazine and diethylene triamine penta-acetic acid, but that the Nd released at each step is of surface origin. While further detailed studies are required to verify the exact location of the surface isotopic signature and the key controls on foraminiferal Nd isotope systematics, these new data place the use of planktonic foraminifera as recorders of surface water Nd isotope ratios, and thus of variations in the past supply of Nd to the oceans from the continents via weathering and erosion, on a reasonably sure footing.
    Keywords: Ocean Drilling Program; ODP
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 63
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    Basic and other measurements of radiation from the Baseline Surface Radiation Network (BSRN) Station Ny-Ålesund in the years 1992 to 2013, reference list of 253 datasets (2014)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Description: At Ny-Ålesund (78.9° N), Svalbard, surface radiation measurements of up- and downward short- and longwave radiation are operated since August 1992 in the frame of the Baseline Surface Radiation Network (BSRN), complemented with surface and upper air meteorology since August 1993. The long-term observations are the base for a climatological presentation of the surface radiation data. Over the 21-year observation period, ongoing changes in the Arctic climate system are reflected. Particularly, the observations indicate a strong seasonality of surface warming and related changes in different radiation parameters. The annual mean temperature at Ny-Ålesund has risen by +1.3 ± 0.7 K per decade, with a maximum seasonal increase during the winter months of +3.1 ± 2.6 K per decade. At the same time, winter is also the season with the largest long-term changes in radiation, featuring an increase of +15.6 ± 11.6 W/m**2 per decade in the downward longwave radiation. Furthermore, changes in the reflected solar radiation during the months of snow melt indicate an earlier onset of the warm season by about 1 week compared to the beginning of the observations. The online available dataset of Ny-Ålesund surface radiation measurements provides a valuable data source for the validation of satellite instruments and climate models.
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; Baseline Surface Radiation Network; BSRN; Monitoring station; MONS; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen
    Type: Dataset
    Format: 253 datasets
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  • 64
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    Stable iron isotope data of pore-water and solid-phase samples from IODP Hole 370-C0023A (2023)
    PANGAEA
    Details
    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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  • 65
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    Ocean acidification and the loss of phenolic substances in marine plants (2012)
    PANGAEA
    In:  Supplement to: Arnold, Thomas; Mealey, Christopher; Leahey, Hannah; Miller, A Whitman; Hall-Spencer, Jason M; Milazzo, Marco; Maers, Kelly (2012): Ocean Acidification and the Loss of Phenolic Substances in Marine Plants. PLoS ONE, 7(4), e35107, https://doi.org/10.1371/journal.pone.0035107.t004
    Details
    Publication Date: 2024-04-30
    Description: Rising atmospheric CO2 often triggers the production of plant phenolics, including many that serve as herbivore deterrents, digestion reducers, antimicrobials, or ultraviolet sunscreens. Such responses are predicted by popular models of plant defense, especially resource availability models which link carbon availability to phenolic biosynthesis. CO2 availability is also increasing in the oceans, where anthropogenic emissions cause ocean acidification, decreasing seawater pH and shifting the carbonate system towards further CO2 enrichment. Such conditions tend to increase seagrass productivity but may also increase rates of grazing on these marine plants. Here we show that high CO2 / low pH conditions of OA decrease, rather than increase, concentrations of phenolic protective substances in seagrasses and eurysaline marine plants. We observed a loss of simple and polymeric phenolics in the seagrass Cymodocea nodosa near a volcanic CO2 vent on the Island of Vulcano, Italy, where pH values decreased from 8.1 to 7.3 and pCO2 concentrations increased ten-fold. We observed similar responses in two estuarine species, Ruppia maritima and Potamogeton perfoliatus, in in situ Free-Ocean-Carbon-Enrichment experiments conducted in tributaries of the Chesapeake Bay, USA. These responses are strikingly different than those exhibited by terrestrial plants. The loss of phenolic substances may explain the higher-than-usual rates of grazing observed near undersea CO2 vents and suggests that ocean acidification may alter coastal carbon fluxes by affecting rates of decomposition, grazing, and disease. Our observations temper recent predictions that seagrasses would necessarily be "winners" in a high CO2 world.
    Keywords: Acetovanillone; Acetovanillone, standard error; Aeolian_archipelago; Alkalinity, total; Alkalinity, total, standard error; Aragonite saturation state; Benthos; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; CO2 vent; Coast and continental shelf; Coumaric acid; Coumaric acid, standard error; Cymodocea nodosa; Description; Distance; Event label; EXP; Experiment; Ferulic acid; Ferulic acid, standard error; Field experiment; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gallic acid; Gallic acid, standard error; Identification; Immunology/Self-protection; Mediterranean Sea; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Mesocosm or benthocosm; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Phenolic acids, standard error; Phenolic acids, total; Phenolics, all; Phenolics, all, standard error; Phenolics, reactive, total; Phenolics, reactive, total, standard error; Plantae; Potamogeton perfoliatus; Potentiometric titration; Proanthocyanidins; Proanthocyanidins, standard error; Ruppia maritima; Salinity; Salinity, standard error; Seagrass; Severn_River; Single species; Species; St_Mary_River; Syringaldehyde and 4-hydroxybenzoic acid; Syringaldehyde and 4-hydroxybenzoic acid, standard error; Temperate; Temperature, water; Tracheophyta; Vanillin; Vanillin, standard error
    Type: Dataset
    Format: text/tab-separated-values, 497 data points
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  • 66
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    Solid-phase geochemistry of sediment cores from IODP Hole 370-C0023A (2021)
    PANGAEA
    Details
    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
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    Format: application/zip, 3 datasets
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  • 67
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    (Table 1) Age determination of sediment profile SO90-41KL/63KA (2002)
    PANGAEA
    In:  Supplement to: Staubwasser, Michael; Sirocko, Frank; Grootes, Pieter Meiert; Erlenkeuser, Helmut (2002): South Asian monsoon climate change and radiocarbon in the Arabian Sea during early and middle Holocene. Paleoceanography, 17(4), 1063, https://doi.org/10.1029/2000PA000608
    Details
    Publication Date: 2024-04-30
    Description: The 14C ages of planktonic foraminifers Globigerinoides sacculifer bracketing the Younger Dryas in a d18O record of Globigerinoides ruber from a laminated sediment core on the Pakistani continental margin suggest that surface reservoir ages in the Arabian Sea were in excess of 1000 years during the deglaciation. A least squares error fit of a detailed 14C chronology to the (atmospheric) tree ring record gave variable early Holocene reservoir ages between 780 and 1120 years, well above the prebomb value of 640 years. Mid-Holocene reservoir ages are less well constrained but were probably closer to the prebomb value. The method used to fit individual core sections to the tree ring record was designed to require only a rough a priori estimate of the time spans, which in the core presented here were taken from each section's range of 14C ages. A significant 220-year quasi-oscillation was present in the d18O record during the early Holocene but not thereafter. This frequency and amplitude pattern resembles an early Holocene 207- to 227-year oscillation previously observed in the atmospheric 14C record, which is generally interpreted as reflecting solar irradiance variability. An early Holocene climate event at 8150-8400 calendar years B.P. observed elsewhere within the Asian-East African monsoon system was again found in our record, suggesting a reduction in precipitation over NW India and Pakistan.
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, comment; Age, dated; Age, dated material; Age, dated standard deviation; Arabian Sea; Calendar age; COMPCORE; Composite Core; DEPTH, sediment/rock; PAKOMIN; Reservoir age; Reservoir age, standard error; Section; SO90; SO90-41KL/63KA; Sonne
    Type: Dataset
    Format: text/tab-separated-values, 362 data points
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  • 68
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    ADCP current measurements (38 kHz) during METEOR cruise M81/1 (2017)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: CT; File format; File name; File size; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; M81/1; M81/1-track; Meteor (1986); subtropical - tropical Atlantic; Underway cruise track measurements; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 5 data points
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  • 69
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    Iron assimilation by the clam Laternula elliptica from Potter Cove, King Georg Island, Antarctica (2015)
    PANGAEA
    In:  Supplement to: Poigner, Harald; Wilhelms-Dick, Dorothee; Abele, Doris; Staubwasser, Michael; Henkel, Susann (2015): Iron assimilation by the clam Laternula elliptica: Do stable isotopes (d56Fe) help to decipher the sources? Chemosphere, 134, 294-300, https://doi.org/10.1016/j.chemosphere.2015.04.067
    Details
    Publication Date: 2024-04-30
    Description: Iron stable isotope signatures (d56Fe) in hemolymph (bivalve blood) of the Antarctic bivalve Laternula elliptica were analyzed by Multiple Collector-Inductively Coupled Plasma-Mass Spectrometry (MC-ICP-MS) to test whether the isotopic fingerprint can be tracked back to the predominant sources of the assimilated Fe. An earlier investigation of Fe concentrations in L. elliptica hemolymph suggested that an assimilation of reactive and bioavailable Fe (oxyhydr)oxide particles (i.e. ferrihydrite), precipitated from pore water Fe around the benthic boundary, is responsible for the high Fe concentration in L. elliptica (Poigner et al., 2013, doi:10.1016/j.ecss.2013.10.027). At two stations in Potter Cove (King George Island, Antarctica) bivalve hemolymph showed mean d56Fe values of -1.19 ± 0.34 per mil and -1.04 ± 0.39 per mil, respectively, which is between 0.5 per mil and 0.85 per mil lighter than the pool of easily reducible Fe (oxyhydr)oxides of the surface sediments (-0.3 per mil to -0.6 per mil). This is in agreement with the enrichment of lighter Fe isotopes at higher trophic levels, resulting from the preferential assimilation of light isotopes from nutrition. Nevertheless, d56Fe hemolymph values from both stations showed a high variability, ranging between -0.21 per mil (value close to unaltered/primary Fe(oxyhydr)oxide minerals) and -1.91 per mil (typical for pore water Fe or diagenetic Fe precipitates), which we interpret as a "mixed" d56Fe signature caused by Fe assimilation from different sources with varying Fe contents and d56Fe values. Furthermore, mass dependent Fe fractionation related to physiological processes within the bivalve cannot be ruled out. This is the first study addressing the potential of Fe isotopes for tracing back food sources of bivalves.
    Keywords: Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; ICP-OES after acid digestion (Poigner et al, 2013); IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Iron, haemolymph fluid and hemocytes; Laternula elliptica, height of valve; Laternula elliptica, length of valve; Laternula elliptica, width of valve; Latitude of event; Longitude of event; MC-ICP-MS after acid digestion, anion-exchange chromatography (Schönberg, 2005); MULT; Multiple investigations; PotterCove_Laternula_STA04; PotterCove_Laternula_STA11; Potter Cove, King George Island, Antarctic Peninsula; Sample code/label; Vernier caliper; δ56Fe
    Type: Dataset
    Format: text/tab-separated-values, 114 data points
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  • 70
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    Physical oceanography during METEOR cruise M81/1 (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: Canarias Sea; CTD/Rosette; CTD001; CTD002; CTD003; CTD004; CTD005; CTD006; CTD007; CTD008; CTD009; CTD010; CTD011; CTD012; CTD013; CTD014; CTD015; CTD016; CTD017; CTD018; CTD019; CTD020; CTD021; CTD022; CTD023; CTD024; CTD025; CTD026; CTD027; CTD028; CTD029; CTD030; CTD031; CTD032; CTD033; CTD034; CTD035; CTD036; CTD037; CTD038; CTD039; CTD040; CTD041; CTD042; CTD043; CTD044; CTD045; CTD046; CTD047; CTD048; CTD-RO; DATE/TIME; Density, sigma, in situ; DEPTH, water; Event label; Fluorescence; Latitude of event; Longitude of event; M81/1; M81/1_107; M81/1_110; M81/1_113; M81/1_115; M81/1_119; M81/1_121; M81/1_125; M81/1_126; M81/1_128; M81/1_130; M81/1_133; M81/1_136; M81/1_138; M81/1_140; M81/1_142; M81/1_145; M81/1_148; M81/1_150; M81/1_152; M81/1_153; M81/1_155; M81/1_158; M81/1_161; M81/1_163; M81/1_165; M81/1_167; M81/1_169; M81/1_171; M81/1_173; M81/1_175; M81/1_179; M81/1_181; M81/1_183; M81/1_185; M81/1_186; M81/1_188; M81/1_190; M81/1_192; M81/1_194; M81/1_195; M81/1_197; M81/1_199; M81/1_200; M81/1_204; M81/1_206; M81/1_207; M81/1_209; M81/1_210; Meteor (1986); Oxygen; Pressure, water; Salinity; Sound velocity in water; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 634122 data points
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  • 71
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    Physical oceanography and current meter data from mooring HG-IV-FEVI-36 at Hausgarten IV (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: ADCP; ARK-XXXI/2; AWI_PhyOce; CTD; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Gear identification number; Hausgarten; HG-IV-FEVI-36; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring; Mooring (long time); MOORY; Oxygen; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS107; PS107_38-1, PS114_2-1; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 2653532 data points
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  • 72
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    Physical oceanography and current meter data from moorings F1-F14 and F15/F16 in the Fram Strait, 1997-2016 (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: ARK-XIV/2; ARK-XIX/4b; ARK-XV/3; ARK-XVI/2; ARK-XVII/1; ARK-XVIII/1; ARK-XX/2; ARK-XXI/1b; ARK-XXIII/2; ARK-XXIV/1; ARK-XXIX/2.1; ARK-XXV/1; ARK-XXV/2; ARK-XXVI/1; ARK-XXVII/1; ARK-XXVIII/2; AWI_PhyOce; F10-1; F10-10; F10-11; F10-12; F10-13; F10-2; F10-3; F10-4; F10-5; F10-6; F10-7; F10-9; F1-1; F1-10; F1-11; F11-2; F11-3; F1-15; F1-2; F12-1; F12-2; F12-3; F1-3; F13-1; F13-2; F13-3; F1-4; F14-1; F14-2; F14-3; F1-5; F15-1; F15-2; F15-3; F15-4; F15-5; F15-6; F15-7; F15-8; F15-9; F1-6; F16-1; F16-2; F16-3; F16-4; F16-5; F16-6; F16-7; F16-8; F16-9; F1-7; F1-8; F2-1; F2-10; F2-11; F2-12; F2-13; F2-14; F2-15; F2-17; F2-2; F2-3; F2-4; F2-5; F2-6; F2-7; F2-8; F2-9; F3-1; F3-10; F3-11; F3-12; F3-13; F3-14; F3-15; F3-16; F3-2; F3-3; F3-5; F3-6; F3-7; F3-8; F3-9; F4-1; F4-10; F4-11; F4-12; F4-13; F4-14; F4-15; F4-16; F4-2; F4-3; F4-4; F4-5; F4-6; F4-7; F4-8; F4-9; F5-1; F5-10; F5-11; F5-12; F5-13; F5-14; F5-15; F5-16; F5-2; F5-3; F5-4; F5-5; F5-6; F5-7; F5-8; F5-9; F6-1; F6-10; F6-11; F6-12; F6-13; F6-14; F6-15; F6-17; F6-2; F6-3; F6-4; F6-5; F6-6; F6-7; F6-8; F6-9; F7-1; F7-10; F7-11; F7-12; F7-2; F7-3; F7-4; F7-5; F7-6; F7-7; F7-8; F7-9; F8-1; F8-10; F8-11; F8-12; F8-13; F8-2; F8-3; F8-4; F8-5; F8-6; F8-7; F8-8; F8-9; F9-1; F9-10; F9-12; F9-2; F9-3; F9-4; F9-5; F9-6; F9-7; F9-8; F9-9; FRAM; FRontiers in Arctic marine Monitoring; HE451-2; Heincke; L97; LA07/9; LA97/2; Lance; Maria S. Merian; MOOR; Mooring; Mooring (long time); MOORY; MSM02/4; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; PS52; PS55; PS57; PS59; PS62; PS64; PS66; PS68; PS72; PS74; PS76; PS78; PS80; PS85; PS93.1
    Type: Dataset
    Format: 168 datasets
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  • 73
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    Physical oceanography and current meter data from mooring HG-IV-FEVI-34 at Hausgarten IV (2018)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-04-30
    Keywords: ARK-XXX/1.2; AWI_PhyOce; Current direction; Current velocity, east-west; Current velocity, horizontal; Current velocity, north-south; DATE/TIME; DEPTH, water; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Gear identification number; Hausgarten; HG-IV-FEVI-34; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring (long time); MOORY; Oxygen; Physical Oceanography @ AWI; Polarstern; Pressure, water; PS99/072-1, PS107_3-2; PS99.2; Salinity; see comment for gear; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3108866 data points
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  • 74
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    Raw data including physical oceanography from mooring HG-IV-FEVI-34 recovered during POLARSTERN cruise PS107 (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: ADCP; ARK-XXX/1.2; AWI_PhyOce; CTD; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-IV-FEVI-34; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS99/072-1, PS107_3-2; PS99.2
    Type: Dataset
    Format: application/zip, 600.9 MBytes
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  • 75
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    Raw data including physical oceanography from mooring HG-IV-FEVI-36 recovered during POLARSTERN cruise PS114 (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: ADCP; ARK-XXXI/2; AWI_PhyOce; CTD; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-IV-FEVI-36; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring; Mooring (long time); MOORY; Physical Oceanography @ AWI; Polarstern; PS107; PS107_38-1, PS114_2-1
    Type: Dataset
    Format: application/zip, 648.6 MBytes
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  • 76
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    (Table 2) Age determination of sediment core NIOP-C2_929 (2007)
    PANGAEA
    In:  Supplement to: Saher, Margot; Jung, S J A; Elderfield, Henry; Greaves, Mervyn; Kroon, Dick (2007): Sea surface temperatures of the western Arabian Sea during the last deglaciation. Paleoceanography, 22(2), PA2208, https://doi.org/10.1029/2006PA001292
    Details
    Publication Date: 2024-04-30
    Description: In this study we present a sea surface temperature (SST) record from the western Arabian Sea for the last 20,000 years. We produced centennial-scale d18O and Mg/Ca SST time series of core NIOP929 with focus on the glacial-interglacial transition. The western Arabian Sea is influenced by the seasonal NE and SW monsoon wind systems. Lowest SSTs occur during the SW monsoon season because of upwelling of cold water, and highest SSTs can be found in the low-productivity intermonsoon season. The Mg/Ca-based temperature record reflects the integrated SST of the SW and NE monsoon seasons. The results show a glacial-interglacial SST difference of ~2°C, which is corroborated by findings from other Arabian Sea cores. At 19 ka B.P. a yet undescribed warm event of several hundred years duration is found, which is also reflected in the d18O record. A second centennial-scale high SST/low d18O event is observed at 17 ka B.P. This event forms the onset of the stepwise yet persistent trend toward Holocene temperatures. Highest Mg/Ca-derived SSTs in the NIOP929 record occurred between 13 and 10 ka B.P. Interglacial SST is ~24°C, indicating influence of upwelling. The onset of Arabian Sea warming occurs when the North Atlantic is experiencing minimum temperatures. The rapid temperature variations at 19, 17, and 13 ka B.P. are difficult to explain with monsoon changes alone and are most likely also linked to regional hydrographic changes, such as trade wind induced variations in warm water advection.
    Keywords: Age, 14C AMS; Age, 14C calibrated, CALIB (Stuiver & Reimer, 1993); Age, comment; Age, dated; Age, dated material; Age, dated standard deviation; Arabian Sea; Calendar age; Core; CORE; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; NIOP929; NIOP-C2; NIOP-C2_929; Sample amount; Size fraction; Tyro
    Type: Dataset
    Format: text/tab-separated-values, 74 data points
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  • 77
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    Strontium, oxygen and sulfur isotopic compositions of 3.52-3.20 Ga stratiform barite (2020)
    PANGAEA
    Details
    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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  • 78
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    Physical oceanography and current meter data (including raw data) from FRAM moorings in the Fram Strait, 2016-2018 (2019)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: ADCP; ARK-XXX/1.2; ARK-XXX/2, GN05; ARK-XXXI/2; AWI_PhyOce; B_LANDER; Bottom lander; CTD; F2-18; F3-17; F4-17; F4-S-1; F4-S-2; F5-17; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; Hausgarten; HG-EGC-3; HG-EGC-4; HG-IV-FEVI-34; HG-IV-FEVI-36; HG-IV-S-1; HG-IV-S-2; HG-IV-SWIPS-2016; HG-IV-SWIPS-2017; HG-N-FEVI-33; HG-N-FEVI-35; Lander-2016; Lander-2017; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring; Mooring (long time); MOORY; North Greenland Sea; Physical Oceanography @ AWI; Polarstern; PS100; PS100/016-1, MSM76_203-1; PS100/017-1, MSM76_202-1; PS100/018-1, PS114_11-1; PS100/019-1, MSM76_198-1; 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; PS100/106-1, PS114_23-2; PS107; PS107_23-1, PS114_43-1; PS107_35-1, PS114_32-1; PS107_38-1, PS114_2-1; PS107_38-2, PS114_1-1; PS107_38-4, PS114_3-1; PS107_38-7, MSM77_4-9; PS107_49-1, PS114_10-1; PS99/048-7, PS107_23-1; PS99/055-6, PS107_33-8; PS99/067-1, PS107_44-1; PS99/070-1, PS107_3-1; PS99/072-1, PS107_3-2; PS99/076-1, PS107_5-1; PS99/077-1, PS107_4-1; PS99.2; R1-1; R2-1; R3-1; R4-1; R5-1
    Type: Dataset
    Format: 46 datasets
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  • 79
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    Biogeochemical and Silicon Isotopic Data for Dry and Wet-based Glaciers in Antarctica (2020)
    PANGAEA
    Details
    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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  • 80
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    Marine Multi-channel seismic data from Cruise EW9509 Line 38 in 1995 Taiwan (2022)
    PANGAEA
    Details
    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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  • 81
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    Middle to late Miocene (13.7-8.6 Ma) stable isotope stratigraphy and paleoceanography: new insights from West Pacific IODP Site 363-U1490 (2024)
    PANGAEA
    Details
    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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  • 82
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    Eddy kinetic energy in the Arctic Ocean from moored velocity observations (2022)
    PANGAEA
    Details
    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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  • 83
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    Basic and other measurements of radiation at station Ny-Ålesund (2014-10) (2015)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-04-30
    Keywords: AC3; Air temperature at 2 m height; Arctic Amplification; 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
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  • 84
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2014-11) (2015)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-04-30
    Keywords: AC3; Air temperature at 2 m height; Arctic Amplification; 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, 388015 data points
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  • 85
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2014-12) (2015)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-04-30
    Keywords: AC3; Air temperature at 2 m height; Arctic Amplification; 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
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  • 86
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2015-02) (2015)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-04-30
    Keywords: AC3; Air temperature at 2 m height; Arctic Amplification; 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, 362769 data points
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  • 87
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2015-01) (2015)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publication Date: 2024-04-30
    Keywords: AC3; Air temperature at 2 m height; Arctic Amplification; 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
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  • 88
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    Unknown
    Pore water geochemistry of sediment core HE337/001-1 (2015)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: Alkalinity, total; AWI_Paleo; DEPTH, sediment/rock; HE337; HE337/001-1; HE337-1_MUC-1; Heincke; Iron; MUC; MultiCorer; North Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Sulfate
    Type: Dataset
    Format: text/tab-separated-values, 75 data points
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  • 89
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2015-03) (2016)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Description: On 20 March 2015, a total solar eclipse occurred over Ny-Ålesund (78.9° N, 11.9° E), Svalbard, in the high Arctic. It was the first time that the surface radiation components during the totality of a solar eclipse were measured by a Baseline Surface Radiation Network (BSRN) station. With the Ny-Ålesund long-term radiation data set as background (available at doi:10.1594/PANGAEA.150000), we present here the peculiarities of the radiation components and basic meteorology observed during the eclipse event. The supplementary data set contains the basic BSRN radiation and surface meteorological data in 1 min resolution for March 2015, and is available at doi:10.1594/PANGAEA.854326. The eclipse radiation data will be a useful auxiliary data set for further studies on micrometeorological surface-atmosphere exchange processes in the Svalbard environment, and may serve as a test case for radiative transfer studies.
    Keywords: AC3; Air temperature at 2 m height; Arctic Amplification; 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, 400829 data points
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  • 90
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    Solid phase iron content and isotopic composition of sediment core HE337/001-1 (2015)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: AWI_Paleo; DEPTH, sediment/rock; Fe extraction after Poulton and Canfield (2005); HE337; HE337/001-1; HE337-1_MUC-1; Heincke; Iron, acetate-leached; Iron, dithionite-citrate-leached; Iron, hydroxylamine-HCl-leached; Iron, oxalate-leached; MUC; MultiCorer; North Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Sample code/label; Sum; δ56/54Fe; δ56/54Fe, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 422 data points
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  • 91
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    Unknown
    Pore water Fe isotope composition of sediment core HE337/001-1 (2015)
    PANGAEA
    Details
    Publication Date: 2024-04-30
    Keywords: AWI_Paleo; DEPTH, sediment/rock; HE337; HE337/001-1; HE337-1_MUC-1; Heincke; MUC; MultiCorer; North Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Sample code/label; δ56/54Fe; δ56/54Fe, standard deviation; δ57/54Fe; δ57/54Fe, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 105 data points
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  • 92
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2012-06) (2013)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, 366850 data points
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  • 93
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2012-07) (2013)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, 401705 data points
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  • 94
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2012-08) (2013)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, 401740 data points
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  • 95
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2012-09) (2013)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, 388800 data points
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  • 96
    facet.materialart.
    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2012-10) (2014)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, 401229 data points
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  • 97
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2012-11) (2014)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, 388800 data points
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  • 98
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    Unknown
    FRAM Remote Access Samplers: nutrient and associated sensor data (2021)
    PANGAEA
    Details
    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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  • 99
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    Unknown
    Basic and other measurements of radiation at station Ny-Ålesund (2006-05) (2008)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    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, CM11, SN 913708, WRMC No. 11011; Pyranometer, Kipp & Zonen, CM11, SN 913711, WRMC No. 11009; Pyranometer, Kipp & Zonen, CM11, SN 913712, WRMC No. 11016; Pyrgeometer, Eppley, PIR, SN 28858 F3, WRMC No. 11002; Pyrgeometer, Eppley, PIR, SN 28897 F3, WRMC No. 11001; Pyrheliometer, Eppley, NIP, SN 28058 E6, WRMC No. 13017; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 401269 data points
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  • 100
    facet.materialart.
    Unknown
    Seawater carbonate chemistry and coral physiology in 22-month mesocosm experiment (2023)
    PANGAEA
    Details
    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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