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  • 2015-2019  (4,201,716)
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Year
  • 1
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Arctic; Bacteria; Baffin_Bay; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Community composition and diversity; Dimethyl sulfide; Dimethylsulfoniopropionate; Dimethylsulfoniopropionate, dissolved; Entire community; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Group; Identification; Laboratory experiment; Light; MULT; Multiple investigations; Nanophytoplankton; Nitrate; Nitrite; Number of cells; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picophytoplankton; Polar; Salinity; Silicate; Temperature, water; Time point, descriptive; Treatment; Type; Viral abundance
    Type: Dataset
    Format: text/tab-separated-values, 5805 data points
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  • 2
    Publication Date: 2024-04-27
    Keywords: Alkalinity, total; Aragonite saturation state; Bacteria; Bacterial production; Bicarbonate ion; Brackish waters; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Date; Dimethyl sulfide; Dimethylsulfoniopropionate; Entire community; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Identification; Laboratory experiment; Mesocosm or benthocosm; Nanophytoplankton; Nitrate; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Picocyanobacteria; Picoeukaryotes; Primary production/Photosynthesis; Primary production of carbon per day; Salinity; Silicate; Temperate; Temperature; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 6404 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Pfister, Lucas; Brönnimann, Stefan; Schwander, Mikhaël; Isotta, Francesco Alessandro; Horton, Pascal; Rohr, Christian (2020): Statistical reconstruction of daily precipitation and temperature fields in Switzerland back to 1864. Climate of the Past, 16(2), 663-678, https://doi.org/10.5194/cp-16-663-2020
    Publication Date: 2024-04-27
    Description: Spatial information on past weather contributes to better understand the processes behind day-to-day weather variability and to assess the risks arising from weather extremes. This dataset provides daily, high-resolution reconstructions of precipitation and temperature fields for Switzerland back to 1864. Reconstructions are provided as "raw" data resulting from an analogue resampling method (ARM), as well as post-processed data (using an ensemble Kalman fitting approach for temperature and quantile mapping for precipitation. For further information, the reader is referred to the references. The dataset comprises the following files: - 2019-10-06_precip_ARM_1864-01-01-2017-12-31.nc (precipitation, analogue reconstructions) - 2019-10-06_precip_qmap_1864-01-01-2017-12-31.nc (precipitation, post-processed) - 2019-10-06_temp_ARM_1864-01-01-2017-12-31.nc (temperature, analogue reconstructions) - 2019-10-06_temp_EnKF_1864-01-01-2017-12-31.nc (temperature, post-processed)
    Keywords: analogue method; historical weather data; Kalman filter; quantile mapping; Switzerland; Switzerland_WS; weather reconstruction
    Type: Dataset
    Format: application/zip, 7.9 GBytes
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  • 4
    Publication Date: 2024-04-27
    Keywords: Abundance; Additives; Ammonium; Bacteria; Bacteria, heterotrophic; Bacteria, production as carbon; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, organic, total; Chlorophyll a, fractionated; Chlorophyll a, total; Ciliates; Copepoda, adult; DATE/TIME; MESO; Mesocosm experiment; Mesocosm label; Nanoflagellates, heterotrophic; Ny_Ålesund_Mesocosm_2015; Ny-Ålesund, Spitsbergen; Phosphorus, reactive soluble; Silicate; Time, incubation
    Type: Dataset
    Format: text/tab-separated-values, 2048 data points
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  • 5
    Publication Date: 2024-04-27
    Description: Carbonate separates from listvenite core BT1B, Oman Drilling Project, were analyzed for their stable oxygen and carbon isotope ratios and clumped isotope distribution to constrain the conditions of carbonate mineralization. This data set summarizes all individual measurement results of the reference materials used and of the unknown samples.
    Keywords: Analytical method; CDRILL; Clumped isotope thermometry; Core drilling; Initial intensity of mass 44; Isotope ratio mass spectrometry; Listvenite; Mass; OmanDP; OmanDP_BT1B; Oman Drilling Project; Run; Run Date/Time; Sample ID; Sample type; Ultramafic rock carbonation; Wadi Mansah, Samail, Oman; Δ47; Δ48; δ13C, carbonate; δ18O, carbonate; δ18O, gas; δ47; δ48
    Type: Dataset
    Format: text/tab-separated-values, 5490 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Webb, Alison L; Malin, Gill; Hopkins, Frances E; Ho, Kai Lam; Riebesell, Ulf; Schulz, Kai Georg; Larsen, Aud; Liss, Peter S (2016): Ocean acidification has different effects on the production of dimethylsulfide and dimethylsulfoniopropionate measured in cultures of Emiliania huxleyi and a mesocosm study: a comparison of laboratory monocultures and community interactions. Environmental Chemistry, 13(2), 314, https://doi.org/10.1071/EN14268
    Publication Date: 2024-04-27
    Description: The human-induced rise in atmospheric carbon dioxide since the industrial revolution has led to increasing oceanic carbon uptake and changes in seawater carbonate chemistry, resulting in lowering of surface water pH. In this study we investigated the effect of increasing CO2 partial pressure (pCO2) on concentrations of volatile biogenic dimethylsulfide (DMS) and its precursor dimethylsulfoniopropionate (DMSP), through monoculture studies and community pCO2 perturbation. DMS is a climatically important gas produced by many marine algae: it transfers sulfur into the atmosphere and is a major influence on biogeochemical climate regulation through breakdown to sulfate and formation of subsequent cloud condensation nuclei (CCN). Overall, production of DMS and DMSP by the coccolithophore Emiliania huxleyi strain RCC1229 was unaffected by growth at 900 µatm pCO2, but DMSP production normalised to cell volume was 12 % lower at the higher pCO2 treatment. These cultures were compared with community DMS and DMSP production during an elevated pCO2 mesocosm experiment with the aim of studying E. huxleyi in the natural environment. Results contrasted with the culture experiments and showed reductions in community DMS and DMSP concentrations of up to 60 and 32 % respectively at pCO2 up to 3000 µatm, with changes attributed to poorer growth of DMSP-producing nanophytoplankton species, including E. huxleyi, and potentially increased microbial consumption of DMS and dissolved DMSP at higher pCO2. DMS and DMSP production differences between culture and community likely arise from pH affecting the inter-species responses between microbial producers and consumers.
    Keywords: Chloroiodomethane; DATE/TIME; Day of experiment; Dibromochloromethane; Dibromomethane; Diiodomethane; Dimethyl sulfide, dissolved; Dimethylsulfoniopropionate; Dimethylsulfoniopropionate, particulate; Iodoethane; Iodomethane; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Mesocosm label; Raunefjord; SOPRAN; Surface Ocean Processes in the Anthropocene; Treatment; Tribromomethane
    Type: Dataset
    Format: text/tab-separated-values, 2590 data points
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  • 7
    Publication Date: 2024-04-27
    Description: Photosynthetic parameters for the TRANSSIZ expedition aboard the RV Polarstern (PS92, ARK-XXIX/1) between the 19th of May and the 26th June of 2015.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Cast number; Coefficient of determination; Comment; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; Latitude of event; Light saturation; Longitude of event; Photoinhibition parameter; Photosynthetic efficiency; Photosynthetic parameters; Photosynthetic rate, maximum, per carbon; Photosynthetic rate, per carbon; Polarstern; primary production; PS92; PS92/019-5; PS92/027-3; PS92/031-3; PS92/032-5; PS92/036-1; PS92/039-8; PS92/043-5; PS92/046-2; PS92/047-4; PS92/052-1; Station label
    Type: Dataset
    Format: text/tab-separated-values, 616 data points
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  • 8
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    PANGAEA
    In:  Universidad Católica del Norte
    Publication Date: 2024-04-27
    Description: Data archives with raw data of burrowing times and proportions of succesfully burrowed clams.
    Keywords: Chile; Coquimbo; HAND; Sampling by hand
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 9
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    PANGAEA
    In:  Supplement to: Stein, Ruediger; Fahl, Kirsten; Schade, Inka; Manerung, Adelina; Wassmuth, Saskia; Niessen, Frank; Nam, Seung-Il (2017): Holocene variability in sea ice cover, primary production, and Pacific-Water inflow and climate change in the Chukchi and East Siberian Seas (Arctic Ocean). Journal of Quaternary Science, https://doi.org/10.1002/jqs.2929
    Publication Date: 2024-04-27
    Description: In this study, we present new detailed biomarker-based sea ice records from two sediment cores recovered in the Chukchi Sea and the East Siberian Sea. These new biomarker data may provide new insights on processes controlling recent and past sea ice changes. The biomarker proxy records show (i) minimum sea ice extent during the Early Holocene, (ii) a prominent Mid-Holocene short-term high-amplitude variability in sea ice, primary production and Pacific-Water inflow, and (iii) significantly increased sea ice extent during the last ca. 4.5k cal a BP. This Late Holocene trend in sea ice change in the Chukchi and East Siberian Seas seems to be contemporaneous with similar changes in sea ice extent recorded from other Arctic marginal seas. The main factors controlling the millennial variability in sea ice (and surface-water productivity) are probably changes in surface water and heat flow from the Pacific into the Arctic Ocean as well as the long-term decrease in summer insolation. The short-term centennial variability observed in the high-resolution Middle Holocene record is probably related to solar forcing. Our new data on Holocene sea ice variability may contribute to synoptic reconstructions of regional to global Holocene climate change based on terrestrial and marine archives.
    Keywords: AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 10
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    PANGAEA
    In:  Supplement to: Bach, Lennart Thomas; Boxhammer, Tim; Larsen, Aud; Hildebrandt, Nicole; Schulz, Kai Georg; Riebesell, Ulf (2016): Influence of plankton community structure on the sinking velocity of marine aggregates. Global Biogeochemical Cycles, 30(8), 1145-1165, https://doi.org/10.1002/2016GB005372
    Publication Date: 2024-04-27
    Description: About 50 Gt of carbon is fixed photosynthetically by surface ocean phytoplankton communities every year. Part of this organic matter is reprocessed within the plankton community to form aggregates which eventually sink and export carbon into the deep ocean. The fraction of organic matter leaving the surface ocean is partly dependent on aggregate sinking velocity which accelerates with increasing aggregate size and density, where the latter is controlled by ballast load and aggregate porosity. In May 2011, we moored nine 25 m deep mesocosms in a Norwegian fjord to assess on a daily basis how plankton community structure affects material properties and sinking velocities of aggregates (Ø 80–400 µm) collected in the mesocosms' sediment traps. We noted that sinking velocity was not necessarily accelerated by opal ballast during diatom blooms, which could be due to relatively high porosity of these rather fresh aggregates. Furthermore, estimated aggregate porosity (Pestimated) decreased as the picoautotroph (0.2–2 µm) fraction of the phytoplankton biomass increased. Thus, picoautotroph‐dominated communities may be indicative for food webs promoting a high degree of aggregate repackaging with potential for accelerated sinking. Blooms of the coccolithophore Emiliania huxleyi revealed that cell concentrations of ~1500 cells/mL accelerate sinking by about 35–40%, which we estimate (by one‐dimensional modeling) to elevate organic matter transfer efficiency through the mesopelagic from 14 to 24%. Our results indicate that sinking velocities are influenced by the complex interplay between the availability of ballast minerals and aggregate packaging; both of which are controlled by plankton community structure.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Raunefjord
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 11
    Publication Date: 2024-04-27
    Description: This data contains XRF peak area data, elemental ratios and average values of sediment core ARA02B/16B-GC from the Arliss Plateau, off the East Siberian margin, western Arctic Ocean
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 12
    Publication Date: 2024-04-27
    Description: As part of the Norwegian research project "CarbonBridge - Bridging marine productivity regimes: How Atlantic advective inflow affects productivity, carbon cycling and export in a melting Arctic Ocean" (NRC #226415, RIS #6637), the concentration of inorganic nutrients and organic material (i.e. chlorophyll a, particulate organic matter), as well as primary and secondary production rates were determined from the upper 1000 m of the water column West and North of Spitsbergen. The flux of sinking organic material was also determined. In total three expeditions were conducted in 2014.
    Keywords: CarbonBridge; CarbonBridge Bridging productivity regimes in the Arctic Ocean
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 13
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    PANGAEA
    In:  Supplement to: De Schepper, Stijn; Ray, Jessica L; Skaar, Katrine S; Sadatzki, Henrik; Ijaz, Umer Zeeshan; Stein, Ruediger; Larsen, Aud (2019): The potential of sedimentary ancient DNA for reconstructing past sea ice evolution. The ISME Journal, https://doi.org/10.1038/s41396-019-0457-1
    Publication Date: 2024-04-27
    Description: At Site GS15-198-38, Greenland Sea, we analysed the surface sample (from a multicore) and eight Late Quaternary samples from a Calypso core. The age model for the Calypso core GS15-198-38CC is based on seven AMS 14C ages down to 345 cm, and a 5-cm resolution N. pachyderma sinistral isotope stratigraphy (1) below that level. We analysed the palynology, generated organic biomarker data (including IP25, sterols) and performed quantitative PCR (droplet digital PCR, ddPCR) of the sympagic dinoflagellate Polarella glacialis.
    Keywords: Arctic Sea Ice and Greenland Ice Sheet Sensitivity; ice2ice
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 14
    Publication Date: 2024-04-27
    Description: The particulate export of photosynthetically fixed carbon from the surface ocean to the ocean interior is a key component of the biological carbon pump and, by extension, of the global carbon cycle. An extensively applied method to estimate the downward flux of particulate carbon is the ²³⁴Th technique, which uses the deficit of ²³⁴Th with respect to its parent, ²³⁸U, coupled with the C/²³⁴Th ratios measured in sinking. More than two decades have passed since the ²³⁴Th technique was first applied to determine the export flux of particulate carbon but the C/²³⁴Th ratio on sinking particles remains as one of the principal uncertainties of this approach. Here we present a global database of 9110 C/²³⁴Th ratios collected using in situ pumps, sediment traps and bottles. Ratios have been grouped, based on the particle size or the device used for the sampling, as: i) Large particles ii) Small particles, iii) Sediment traps and iv) Bulk. The samples were collected between 1989 and 2016 and are distributed among most of the open ocean Longhurst provinces, with some coastal areas also represented. As expected, the data are not evenly distributed along the water column, with most of the data points found in the upper 100-200 m, although the depth range expands from surface down to 〉5500 m. Globally, the ratios range from 0.012 to 1778 µmol/dpm. This database shows how particulate C/²³⁴Th ratios vary with time, depth, particle size and location, which is important for the application of the ²³⁴Th approach and the estimate of the global magnitude of the biological carbon pump.
    Keywords: 234Th; C/234Th ratios; carbon export; global; POC
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 15
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. Data sets in this collection provide methodological and environmental context to all samples collected during the Tara Oceans Expedition (2009-2013).
    Keywords: Fondation Tara Expeditions; FondTara; OCEANOMICS; Tara_Oceans_2009-2013; Tara Oceans Expedition; wOrld oCEAN biOressources, biotechnologies and Earth-systeM servICeS
    Type: Dataset
    Format: application/zip, 10 datasets
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  • 16
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    PANGAEA
    In:  Supplement to: Riebesell, Ulf; Bach, Lennart Thomas; Bellerby, Richard G J; Bermúdez Monsalve, Rafael; Boxhammer, Tim; Czerny, Jan; Larsen, Aud; Ludwig, Andrea; Schulz, Kai Georg (2017): Competitive fitness of a predominant pelagic calcifier impaired by ocean acidification. Nature Geoscience, 10(1), 19-23, https://doi.org/10.1038/ngeo2854
    Publication Date: 2024-04-27
    Description: Coccolithophores -single-celled calcifying phytoplankton- are an important group of marine primary producers and the dominant builders of calcium carbonate globally. Coccolithophores form extensive blooms and increase the density and sinking speed of organic matter via calcium carbonate ballasting. Thereby, they play a key role in the marine carbon cycle. Coccolithophore physiological responses to experimental ocean acidification have ranged from moderate stimulation to substantial decline in growth and calcification rates, combined with enhanced malformation of their calcite platelets. Here we report on a mesocosm experiment conducted in a Norwegian fjord in which we exposed a natural plankton community to a wide range of CO2-induced ocean acidification, to test whether these physiological responses affect the ecological success of coccolithophore populations. Under high-CO2 treatments, Emiliania huxleyi, the most abundant and productive coccolithophore species, declined in population size during the pre-bloom period and lost the ability to form blooms. As a result, particle sinking velocities declined by up to 30% and sedimented organic matter was reduced by up to 25% relative to controls. There were also strong reductions in seawater concentrations of the climate-active compound dimethylsulfide in CO2-enriched mesocosms. We conclude that ocean acidification can lower calcifying phytoplankton productivity, potentially creating a positive feedback to the climate system.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 17
    Publication Date: 2024-04-27
    Description: This collection contains four datasets on (1) chlorophyll a and phaeopigment concentrations, (2) nitrogen and organic carbon contents, (3) sediment oxygen uptakes and benthic boundary fluxes at the sediment-water interface and (4) macrofaunal abundance and biodiversity in sediments in the Canadian Arctic in 2008 and 2009. Data have been produced for a PhD thesis based on samples taken during the following expeditions: - Circumpolar Flaw Lead Study, Legs 9-10 - ArcticNet expedition 2008, Leg 11 (http://www.arcticnet.ulaval.ca/docs/2008_Amundsen_Expedition_Report.pdf) - ArcticNet expedition 2009, Leg 4 (http://www.arcticnet.ulaval.ca/docs/2009_Amundsen_Expedition_Report.pdf) - Malina expedition 2009 (Malina http://malina.obs-vlfr.fr/index.html; http://www.arcticnet.ulaval.ca/docs/2009_Amundsen_Expedition_Report.pdf) In general, sediment retrieved with a giant box corer were used to determine benthic boundary fluxes (oxygen, silicic acid, phosphate, nitrate, ammonium) in incubation chambers, as well as sediment pigment concentration from seperate cores, to study the effect of environmental conditions on benthic ecosystem functions. Parts of the data available in this collection have been analysed for addressing various ecological questions in spatial and temporal context in the publications listed below. A general description of the study region can be found in Link et al. 2013 (POne). Please download the metadata and methods file for more details.
    Keywords: Arctic; ArcticNet_2; benthic boundary fluxes; Biodiversity; Chl a; CHONe; CSRNG Canadian Healthy Oceans Network I; Impact of Climate Change on Benthos; ArcticNet Phase 2; Macrofauna; Malina; phaeopigments; phytodetritus; Sediment oxygen uptake; sediment pigments
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 18
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    PANGAEA
    In:  Supplement to: Yang, Yan; Hansson, L; Gattuso, Jean-Pierre (2016): Data compilation on the biological response to ocean acidification: an update. Earth System Science Data, 8(1), 79-87, https://doi.org/10.5194/essd-8-79-2016
    Publication Date: 2024-04-27
    Description: The exponential growth of studies on the biological response to ocean acidification over the last few decades has generated a large amount of data. To facilitate data comparison, a data compilation hosted at the data publisher PANGAEA was initiated in 2008 and is updated on a regular basis (doi:10.1594/PANGAEA.149999). By January 2015, a total of 581 data sets (over 4 000 000 data points) from 539 papers had been archived. Here we present the developments of this data compilation five years since its first description by Nisumaa et al. (2010). Most of study sites from which data archived are still in the Northern Hemisphere and the number of archived data from studies from the Southern Hemisphere and polar oceans are still relatively low. Data from 60 studies that investigated the response of a mix of organisms or natural communities were all added after 2010, indicating a welcomed shift from the study of individual organisms to communities and ecosystems. The initial imbalance of considerably more data archived on calcification and primary production than on other processes has improved. There is also a clear tendency towards more data archived from multifactorial studies after 2010. For easier and more effective access to ocean acidification data, the ocean acidification community is strongly encouraged to contribute to the data archiving effort, and help develop standard vocabularies describing the variables and define best practices for archiving ocean acidification data.
    Keywords: Biological process; Country; Experimental treatment; Geographic name/locality; Number; Persistent Identifier; Taxon/taxa; Title
    Type: Dataset
    Format: text/tab-separated-values, 4644 data points
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  • 19
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    PANGAEA
    In:  Supplement to: Xiao, Xiaotong; Fahl, Kirsten; Müller, Juliane; Stein, Ruediger (2015): Sea-ice distribution in the modern Arctic Ocean: Biomarker records from trans-Arctic Ocean surface sediments. Geochimica et Cosmochimica Acta, 155, 16-29, https://doi.org/10.1016/j.gca.2015.01.029
    Publication Date: 2024-04-27
    Description: Records of the spatial and temporal variability of Arctic Ocean sea ice are of significance for understanding the causes of the dramatic decrease in Arctic sea-ice cover of recent years. In this context, the newly developed sea-ice proxy IP25, a mono-unsaturated highly branched isoprenoid alkene with 25 carbon atoms biosynthesized specifically by sea-ice associated diatoms and only found in Arctic and sub-Arctic marine sediments, has been used to reconstruct the recent spatial sea-ice distribution. The phytoplankton biomarkers 24S-brassicasterol and dinosterol were determined alongside IP25 to distinguish ice-free or permanent ice conditions, and to estimate the sea-ice conditions semi-quantitatively by means of the phytoplankton-IP25 index (PIP25). Within our study, for the first time a comprehensive data set of these biomarkers was produced using fresh and deep-frozen surface sediment samples from the Central Arctic Ocean proper (〉80°N latitude) characterised by a permanent ice cover today and recently obtained surface sediment samples from the Chukchi Plateau/Basin partly covered by perennial sea ice. In addition, published and new data from other Arctic and sub-Arctic regions were added to generate overview distribution maps of IP25 and phytoplankton biomarkers across major parts of the modern Arctic Ocean. These comprehensive biomarker data indicate perennial sea-ice cover in the Central Arctic, ice-free conditions in the Barents Sea and variable sea-ice situations in other marginal seas. The low but more than zero values of biomarkers in the Central Arctic supported the low in-situ productivity there. The PIP25 index values reflect modern sea-ice conditions better than IP25 alone and show a positive correlation with spring/summer sea ice. When calculating and interpreting PIP25 index as a (semi-quantitative) proxy for reconstructions of present and past Arctic sea-ice conditions from different Arctic/sub-Arctic areas, information of the source of phytoplankton biomarkers and the possible presence of allochthonous biomarkers is needed, and the records of the individual biomarkers always should be considered as well.
    Keywords: 2,10,14-Trimethyl-6-enyl-7-(3-methylpent-1-enyl)pentadecene, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 24-ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; ARA2B; ARA2B-11_BOX-01; ARA2B-15; ARA2B-16a_BOX-01; ARA2B-16B; ARA2B-18A; ARA2B-18B; ARA2B-1A; ARA2B-1B; ARA2B-2; ARA2B-3A; ARA2B-3B; ARA2B-8_BOX-01; ARA2B-9_BOX-01; ARA3B; ARA3B_01; ARA3B_08MUC-02; ARA3B_09MUC-02; ARA3B_10MUC-02; ARA3B_11MUC-02; ARA3B_12; ARA3B_13MUC-01; ARA3B_14MUC-01; ARA3B_15b; ARA3B_16MUC-01; ARA3B_18MUC-01; ARA3B_19MUC-02; ARA3B_26; ARA3B_27; ARA3B_28; ARA3B_29MUC-02; ARA3B_30MUC-01; ARA3B_38aMUC-01; ARA3B_41MUC-03; Araon; Arctic Ocean; ARK-XI/1; ARK-XIV/1a; ARK-XV/2; ARK-XVI/1; ARK-XVI/2; ARK-XVII/1; ARK-XVII/2; ARK-XVIII/1; ARK-XXVI/3; ARK-XXVII/3; AWI_Paleo; BC; Box corer; Calculated; Carbon, organic, total; DEPTH, sediment/rock; East Siberian Sea; Elevation of event; Event label; Gas chromatography - Mass spectrometry (GC-MS); GC; Giant box corer; GKG; Gravity corer; HG_I; HG_IV; HG_IX; Kara Sea; Laptev Sea; Latitude of event; Longitude of event; MUC; MultiCorer; Multicorer with television; North Greenland Sea; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Phytoplankton biomarker Brassicasterol IP25 index; Phytoplankton biomarker Dinosterol IP25 index; Polarstern; PS2718-4; PS2722-3; PS2723-4; PS2726-5; PS2727-3; PS2728-2; PS2729-3; PS2730-3; PS2731-3; PS2733-3; PS2737-4; PS2742-3; PS2754-5; PS2756-4; PS2761-4; PS36; PS36/002; PS36/006; PS36/007; PS36/010; PS36/011; PS36/012; PS36/016; PS36/017; PS36/018; PS36/020; PS36/024; PS36/030; PS36/049; PS36/051; PS36/057; PS51; PS51/029-1; PS51/047-5; PS51/058-1; PS55; PS55/096-3; PS55/097-1; PS55/098-1; PS57; PS57/002-3; PS57/197-3; PS57/206-3; PS57/227-3; PS57/251-2; PS57 ARKTIEF; PS59; PS59/082-1; PS59/091; PS59/094; PS59/121; PS59/208-1; PS59/217-2; PS59/219-2; PS59/237-1; PS59/287-1; PS59 AMORE; PS62; PS62/144-1; PS62/162-2; PS62/176-1; PS62/177-1; PS62/193-1; PS78/201-7; PS78/204-4; PS78/205-5; PS78/206-2; PS78/208-1; PS78/211-1; PS78/217-1; PS78/220-6; PS78/221-3; PS78/225-4; PS78/231-1; PS78/237-1; PS78/238-2; PS78/248-4; PS78 TransArc; PS80/207-3; PS80/225-2; PS80/240-3; PS80/260-1; PS80/277-2; PS80/292-1; PS80/338-2; PS80/350-3; PS80/362-1; PS80/394-2; PS80 IceArc; Sequential multiple corer; S-MUC; TVMUC; Yermak Plateau
    Type: Dataset
    Format: text/tab-separated-values, 856 data points
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  • 20
    Publication Date: 2024-04-27
    Keywords: BIOACID; Biogenic silica; Biological Impacts of Ocean Acidification; Calculated; Carbon, organic, particulate; CTD; DATE/TIME; Day of experiment; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Mesocosm label; Nitrogen, total, particulate; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Phosphorus, particulate; Ratio; Raunefjord; SOPRAN; Spectrophotometry; Surface Ocean Processes in the Anthropocene; Total organic carbon analyzer (TOC-VCPH); Vertical flux; Vertical flux, biogenic silica; Vertical flux, biogenic silica, cumulated; Vertical flux, carbon; Vertical flux, carbon, cumulated; Vertical flux, cumulated; Vertical flux, nitrogen; Vertical flux, nitrogen, cumulated; Vertical flux, phosphorus; Vertical flux, phosphorus, cumulated; Volume
    Type: Dataset
    Format: text/tab-separated-values, 8288 data points
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  • 21
    Publication Date: 2024-04-27
    Description: Data were collected on and off the shelf northwest of Svalbard during cruises in January, March, May, August and November 2014. The sampling depths were 1, 5, 10, 20, 30, 50, 100, 200, 500, 750, and 1000 m, as well as at the depth of the Chl a maximum. The sampling concentrated on the core of the northwards drifting warm Atlantic water, which enters the Arctic Ocean north of Svalbard either south or north of the Yermark plateau. Transects were sampled across the core of the Atlantic water inflow at 79N, and additionally at 79.4N in May and August. Heavy drift ice restricted the sampling to the shelf and shelf-break in May and August 2014. During January, March, and November, the area north of Svalbard was largely ice-free, which allowed sampling off the shelf-break into the Arctic Ocean during winter. At all stations, depth profiles of temperature, salinity and fluorescence were taken with a CTD (Seabird SBE 911 plus). Water was sampled with Niskin bottles from discrete depths for analysis of inorganic nutrients, chlorophyll a (Chl a), microbial abundance, bacterial production (BP), as well as DOM and POM. In May and August, three process stations each (in datasheet referred to as P-stations: P1, P3, P4 in May, and P5, P6, P7 in August, at these stations more time-demanding processes were investigated, such as in situ primary production and vertical export of POM. Chl a was determined by filterig 100-500mL water onto Whatmann GF/F glass fiber filters. Chl a was determined fluorometrically (10-AU, Turner Designs) from triplicates of each filter type after extraction in 5 mL methanol at room temperature in the dark for 12 h without grinding. Abundances of microorganisms: picophytoplankton, nanophytoplankton, virus, heterotrophic bacteria, and heterotrophic nanoflagellates were determined on an Attune(R) Focusing Flow Cytometer (Applied Biosystems by Life technologies) with a syringe-based fluidic system and a 20 mW 488 nm (blue) laser. Samples were fixed with glutaraldehyde (0.5% final conc.) at 4°C for minimum 2 h, shock frozen in liquid nitrogen, and stored at -80 °C until analysis. Total organic carbon (TOC) in unfiltered seawater was analyzed by high temperature combustion using a Shimadzu TOC-VCSH. All samples were acidified with HCl (to a pH of around 2) and bubbled with pure N2 gas in order to remove any inorganic carbon. Calibration was performed using deep seawater and low carbon reference waters. A blank consisting of milliQ water was analyzed every eighth sample to assess the day-to-day instrument variability. Concentration of total nitrogen (TN) was determined simultaneously by high temperature combustion using a CPH-TN nitrogen analyzer. Total organic nitrogen (TON) was calculated by subtracting the inorganic nitrogen (NOx = NO3 + NO2 + NH4+) measured from parallel nutrient samples. The instrument was calibrated using a standard series of acetoanilide and the accuracy of the instrument was evaluated using seawater reference material provided by the Hansell CRM (consensus reference material) program. For analysis of particulate organic carbon (POC) and particulate organic nitrogen (PON), triplicate subsamples (100 - 500 mL) were filtered onto precombusted Whatman GF/F glass-fibre filters (450°C for 5 h), dried at 60°C for 24 h and analyzed on-shore with a Leeman Lab CEC 440 CHN analyzer. Prior to analysis, the dried samples were fumed by concentrated HCl in 24 h before re-drying at 60°C for 24 h to remove inorganic carbon. Unfiltered seawater was filled directly from the Niskin bottles into 30 mL acid washed HDPE bottles and stored at -20°C. Nitrite and nitrate (NO-2 + NO- 3 ), phosphate (PO3- 4 ) and silicic acid (H4SiO4) were measured on a Smartchem200 (by AMS Alliance) autoanalyser following procedures as outlined in Wood et al. (1967) for NO-3 + NO-2 , Murphy and Riley (1962) for PO3-4 and Koroleff (1983) for the determination of H4SiO4. The determination of NO-3 was done by reduction to NO-2 on a built-in cadmium column, which was loaded prior to every sample run. Seven-point standard curves were made prior to every run. Two internal standards and one blank were inserted for every 8 samples and these were used to correct for any drift in the measurements. Concentration of NH+4 was determined directly in fresh samples using ortho-phthaladehyde according to Holmes et al. (1999)
    Keywords: Ammonium; B1; B11; B14; B16; B8; Bacteria; C1; C3; C4; C5; C6; C7; C8; Carbon, organic, dissolved; Carbon, organic, dissolved/Nitrogen, organic, dissolved ratio; Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, total; Carbon, organic, total/Nitrogen, organic, total ratio; Carbon, organic, total per volume; CarbonBridge; CarbonBridge Bridging productivity regimes in the Arctic Ocean; CB201401; CB201401_B1; CB201401_B11; CB201401_B14; CB201401_B16; CB201401_B8; CB201401_CTD2; CB201401_D1; CB201401_D2; CB201401_D3; CB201401_D4; CB201401_D6; CB201401_Test; CB201405; CB201405_C3; CB201405_C4; CB201405_C5; CB201405_C6; CB201405_C7; CB201405_C8; CB201405_D1; CB201405_D2; CB201405_D3; CB201405_D4; CB201405_D5; CB201405_D6; CB201405_D-a; CB201405_D-b; CB201405_P1-1; CB201405_P1-2; CB201405_P2-1; CB201405_P2-2; CB201405_P3-1; CB201405_P3-2; CB201405_P4-1; CB201405_P4-2; CB201405_Test; CB201408; CB201408_C1; CB201408_C4; CB201408_C6; CB201408_C8; CB201408_D1; CB201408_D2; CB201408_D3; CB201408_D4; CB201408_D5; CB201408_D6; CB201408_D-a; CB201408_D-b; CB201408_E2; CB201408_E4; CB201408_P5-1; CB201408_P5-2; CB201408_P6/E1-1; CB201408_P6/E1-2; CB201408_P7/E3-1; CB201408_P7/E3-2; CB201408_Test; Chlorophyll a; Cruise/expedition; CTD, Sea-Bird, SBE 911; CTD nr 2; D+; D++; D+++; D1; D2; D3; D4; D5; D6; DATE/TIME; Density, sigma-theta (0); DEPTH, water; E2; E4; Event label; Fluorescence; Helmer Hanssen; High nucleic acid bacteria; High nucleic acid bacteria/low nucleic acid bacteria ratio; Lance; MP2; MP2_St1; MP2_st2; MP2_st3; MP2_st4; MP2_st5; MP2_st6; MP5; MP5_St1; MP5_St2; MP5_St3; MP5_St4; MULT; Multiple investigations; Nanoflagellates, heterotrophic; Nanophytoplankton; Nitrate and Nitrite; Nitrite; Nitrogen, inorganic; Nitrogen, organic; Nitrogen, organic, dissolved; Nitrogen, organic, dissolved/Nitrogen, total ratio; Nitrogen, organic, particulate; Nitrogen, organic, particulate, standard deviation; Nitrogen, total; ORDINAL NUMBER; Oxygen; Oxygen saturation; P1; P2; P3; P4; P5; P6/E1; P7/E3; Phosphate; Picoeukaryotes; Pressure, water; Salinity; Silicate; St1/Exp.profile; st2; St2; st3; St3; st4; St4; st5; st6; Station label; Synechococcus; Temperature, water; Temperature, water, potential; Test st/Exp.profile; Turbidity (Nephelometric turbidity unit); Viral abundance; Virus/bacteria ratio
    Type: Dataset
    Format: text/tab-separated-values, 24378 data points
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  • 22
    Publication Date: 2024-04-27
    Description: This is version 1.0 of the PALMOD 130k marine palaeoclimate data synthesis. The synthesis contains only time series for which a robust chronology based on benthic foraminifera δ18O and radiocarbon dating is available. The product contains 896 time series of eight palaeoclimate parameters from 143 individual sites, each associated with rich metadata, age-depth model ensembles and information to refine and update the chronologies. This version contains 205 time series of benthic foraminifera δ18O, 169 of benthic foraminifera δ13C, 131 of seawater temperature, 174 and 119 of planktonic foraminifera δ18O and δ13C and 44, 38 and 16 of carbonate, organic carbon and biogenic silica content, respectively. The data product is available in three formats (R, LiPD and netCDF) facilitating use across different software and operating systems.
    Keywords: File content; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 23
    Publication Date: 2024-04-27
    Keywords: Chile; Coquimbo; HAND; Identification; Sampling by hand; Species; Time in seconds; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 4758 data points
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  • 24
    Publication Date: 2024-04-27
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Day of experiment; KOSMOS_2011_Bergen; Loss via sediment trap; MESO; Mesocosm experiment; Mesocosm label; Raunefjord
    Type: Dataset
    Format: text/tab-separated-values, 810 data points
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  • 25
    Publication Date: 2024-04-27
    Keywords: AL458; AL458_473-2; AL458_485-2; Alkor (1990); Amino acid, total; Carbohydrates, total combined; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; DF; Event label; Gotland Basin, Baltic Sea; Landsorttief, Baltic Sea; SFB754; Standard deviation; Trap, drifting
    Type: Dataset
    Format: text/tab-separated-values, 34 data points
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  • 26
    Publication Date: 2024-04-27
    Keywords: AL458; AL458_473-2; AL458_485-2; Alkor (1990); Biogenic silica, flux; Carbon, organic, particulate, flux; Carbon, organic, particulate, flux, standard deviation; Chlorophyll a, flux; Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; DF; Event label; Gotland Basin, Baltic Sea; Landsorttief, Baltic Sea; Nitrogen, particulate, flux; Nitrogen, particulate, standard deviation; Phosphorus, organic, particulate, flux per day; SFB754; Standard deviation; Trap, drifting
    Type: Dataset
    Format: text/tab-separated-values, 86 data points
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  • 27
    Publication Date: 2024-04-27
    Keywords: 2011-10A; 405-10A; 408-10A; Arctic; BC; Beaufort Sea; Box corer; Carbon; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon, total; CCGSA_4-10_CFL08; CCGS Amundsen; CFL10A_1020A; CFL10A_405; CFL10A_408; CFL10A_D37; CFL8_1020A; CFL8_405B; CFL8_9002; CFL9_1116; CFL9_1200; CFL9_1216; CFL9_405B; CFL9_416; CFL9_434; CFL9_435; CFL9_9002; CFL9_D34; CFL9_DB01; CFL9_FB03; Circumpolar Flaw Lead Leg 4-10a; Cruise/expedition; Event label; Identification; nitrogen; Nitrogen, total; sediment; Stable isotopes; Station label; TOC; δ13C; δ13C, organic carbon; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 505 data points
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  • 28
    Publication Date: 2024-04-27
    Keywords: AGE; Aluminium; Aluminium oxide; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calcium; Calcium oxide; Calypso square corer; CASQ; CCGS Amundsen; Chromium; DEPTH, sediment/rock; Holocene; Iron; Iron oxide, Fe2O3; Loss on ignition; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Melville Bay; Nares Strait; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; quantitative bulk mineralogy; Sample ID; sedimentary geochemistry; Silicon; Silicon dioxide; Strontium; Titanium; Titanium dioxide; Vanadium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 2300 data points
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  • 29
    Publication Date: 2024-04-27
    Keywords: AGE; Aluminium; Aluminium oxide; AMD14_1b; AMD14-Kane2B_CASQ; ArcticNet; Baffin Bay; Calcium; Calcium oxide; Calypso square corer; CASQ; CCGS Amundsen; Chromium; DEPTH, sediment/rock; Holocene; Iron; Iron oxide, Fe2O3; Loss on ignition; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Melville Bay; Nares Strait; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; quantitative bulk mineralogy; Sample ID; sedimentary geochemistry; Silicon; Silicon dioxide; Strontium; Titanium; Titanium dioxide; Vanadium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1324 data points
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  • 30
    Publication Date: 2024-04-27
    Description: For comments and further metadata see doi:10.1594/PANGAEA.902103
    Keywords: Carbon, organic, particulate/Thorium-234 ratio; Comment; DATE/TIME; DEPTH, water; Identification; LATITUDE; LONGITUDE; Reference/source
    Type: Dataset
    Format: text/tab-separated-values, 32504 data points
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  • 31
    Publication Date: 2024-04-27
    Keywords: Appendicularia; BIOACID; Biological Impacts of Ocean Acidification; Copepoda, adult; Day of experiment; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Mesocosm label; Mollusca; Nauplii; Raunefjord
    Type: Dataset
    Format: text/tab-separated-values, 324 data points
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  • 32
    Publication Date: 2024-04-27
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; File format; File name; File size; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Raunefjord; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 33
    Publication Date: 2024-04-27
    Keywords: AL458; AL458_473-2; AL458_485-2; Alkor (1990); Climate - Biogeochemistry Interactions in the Tropical Ocean; DEPTH, water; DF; Event label; Gotland Basin, Baltic Sea; Landsorttief, Baltic Sea; Particle concentration; Particle concentration, standard deviation; SFB754; Trap, drifting
    Type: Dataset
    Format: text/tab-separated-values, 41 data points
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  • 34
    Publication Date: 2024-04-27
    Keywords: 58GS20150719; Arctic Sea Ice and Greenland Ice Sheet Sensitivity; CALYPSO; Calypso Corer; Droplet Digital PCR (ddPCR); Event label; G. O. Sars (2003); Gene copies; GS15-198; GS15-198-38-CC; GS15-198-38-MC; ice2ice; MUC; MultiCorer; Sample code/label; Section; Section Bot in meters below surface; Section Top in meters below surface; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 1072 data points
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  • 35
    Publication Date: 2024-04-27
    Keywords: 58GS20150719; Acritarcha; Acritarcha, error; Acritarcha, reworked; Acritarcha indeterminata; Acritarcha per unit mass; AGE; Algae, freshwater; Algae, freshwater, error; Arctic Sea Ice and Greenland Ice Sheet Sensitivity; Bitectatodinium tepikiense; Botryococcus; Brigantedinium simplex; Brigantedinium spp.; CALYPSO; Calypso Corer; Counting, palynology; Cymatiosphaera? invaginata; Dinoflagellata: cysts indeterminata; Dinoflagellate cyst; Dinoflagellate cyst, standard error; Dinoflagellate cyst indeterminata; Dinoflagellate cyst per unit mass; Dinoflagellate cyst reworked; Dry mass; Echinidinium spp.; Evenness of species; Event label; G. O. Sars (2003); GS15-198; GS15-198-38-CC; GS15-198-38-MC; Halodinium minor; Halodinium spp.; ice2ice; Impagidinium pallidum; Impagidinium sp.; Islandinium minutum; Laboratory code/label; Leiospheres; Lingulodinium machaerophorum; Lycopodium clavatum; Lycopodium clavatum, standard deviation; Lycopodium clavatum spores per tablet; Lycopodium tablets; Lycopodium tablets charge number; MUC; MultiCorer; Nematosphaeropsis labyrinthus; Nematosphaeropsis rigida; Nematosphaeropsis spp.; Palynomorpha; Palynomorpha, reworked; Palynomorpha, reworked, error; Palynomorpha, reworked per unit sediment mass; Palynomorpha, terrestrial; Palynomorpha, terrestrial, error; Palynomorpha, terrestrial, reworked; Pediastrum; Picea; Pinus; Polarella glacialis; Pollen indeterminata; Protoceratium reticulatum, cysts; Pterospermella spp.; Sample code/label; Section; Section Bot in meters below surface; Section Top in meters below surface; Shannon Diversity Index; Species richness; Spiniferites elongatus; Spiniferites ramosus; Spiniferites spp.; Spores, trilete; Tsuga
    Type: Dataset
    Format: text/tab-separated-values, 385 data points
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  • 36
    Publication Date: 2024-04-27
    Keywords: (9E)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene, per unit mass total organic carbon; (9E)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene per unit sediment mass; (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene, per unit mass total organic carbon; (9Z)-2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyliden)pentadeca-9-ene per unit sediment mass; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; 24-ethylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Ethylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholest-5-en-3beta-ol, per unit mass total organic carbon; 24-Methylcholest-5-en-3beta-ol per unit sediment mass; 24-Methylcholesta-5,22E-dien-3beta-ol, per unit mass total organic carbon; 24-Methylcholesta-5,22E-dien-3beta-ol per unit sediment mass; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol, per unit mass total organic carbon; 4alpha,23,24-Trimethyl-5alpha-cholest-22E-en-3beta-ol per unit sediment mass; 58GS20150719; AGE; Arctic Sea Ice and Greenland Ice Sheet Sensitivity; CALYPSO; Calypso Corer; Carbon, organic, total; Carbon-Sulfur Determinator, ELTRA CS-2000; Diene highly branched isoprenoids, per unit mass total organic carbon; Diene highly branched isoprenoids per unit sediment mass; Event label; G. O. Sars (2003); Gas chromatography - Mass spectrometry (GC-MS); GS15-198; GS15-198-38-CC; GS15-198-38-MC; ice2ice; MUC; MultiCorer; Phytoplankton biomarker Brassicasterol IP25 index; Phytoplankton biomarker Dinosterol IP25 index; Sample code/label; Sampling date; Section; Section Bot in meters below surface; Section Top in meters below surface
    Type: Dataset
    Format: text/tab-separated-values, 214 data points
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  • 37
    Publication Date: 2024-04-27
    Keywords: Chile; Coquimbo; HAND; Number; Replicate; Sampling by hand; Species; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
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  • 38
    Publication Date: 2024-04-27
    Keywords: Chile; Coquimbo; HAND; Number; Replicate; Sampling by hand; Species; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
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  • 39
    Publication Date: 2024-04-27
    Keywords: Chile; Coquimbo; HAND; Identification; Sampling by hand; Species; Time in seconds; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 4992 data points
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  • 40
    Publication Date: 2024-04-27
    Keywords: Chile; Coquimbo; HAND; Number; Replicate; Sampling by hand; Species; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 162 data points
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  • 41
    Publication Date: 2024-04-27
    Keywords: ARK-XXIII/3; AWI_Paleo; Calcium carbonate; Carbon, organic, total; Carbon dioxide yield, S3 per unit sediment mass; DEPTH, sediment/rock; East Siberian Sea; Element analyser CHN, LECO; GC; Gravity corer; Hydrocarbon yield, S1 per unit sediment mass; Hydrocarbon yield, S2 per unit sediment mass; Hydrogen index, mass HC, per unit mass total organic carbon; Oxygen index, mass CO2, per unit mass total organic carbon; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS72; PS72/350-2; Pyrolysis temperature maximum; Rock eval pyrolysis (Behar et al., 2001)
    Type: Dataset
    Format: text/tab-separated-values, 784 data points
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  • 42
    Publication Date: 2024-04-27
    Keywords: AGE; Age, 14C AMS; Amphibole; ARA2B; ARA2B-1B; Aragonite; Araon; Arctic Ocean; AWI_Paleo; Calcite; Chlorite; Clay minerals; DEPTH, sediment/rock; Dolomite; Elements, total; GC; Goethite; Gravity corer; Halite; Illite; Kalifeldspar; Kaolinite; Maghemite; Muscovite; Non-clay minerals; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Plagioclase; Pyrite, FeS2; Quartz; Smectite; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 1710 data points
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  • 43
    Publication Date: 2024-04-27
    Description: The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides environmental context to all samples from the Tara Oceans Expedition (2009-2013), about nutrient concentrations in the targeted environmental feature. Concentrations of nitrite, nitrite+nitrate, phosphate and silicate were determined by ... methods. For each parameter we provide six statistics about all observations that are considered adequate to characterise the targeted environmental feature: number of observations, minimum, first quartile (25 percentile), median, third quartile (75 percentile), and maximum values. Observations were considered adequate if they met the following criteria: 〈100 km from the sampling location, 〈2 days from the sampling date/time, and within 10 m of the sampling depth. We also provide the computed distance and date/time lags that were assessed against these criteria. No environmental context is provided when one of these criteria was not met.
    Keywords: Fondation Tara Expeditions; FondTara; OCEANOMICS; Tara_Oceans_2009-2013; Tara Oceans Expedition; wOrld oCEAN biOressources, biotechnologies and Earth-systeM servICeS
    Type: Dataset
    Format: application/zip, 5.8 MBytes
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  • 44
    Publication Date: 2024-04-27
    Keywords: AL458; AL458_473-2; AL458_485-2; Alkor (1990); Climate - Biogeochemistry Interactions in the Tropical Ocean; Coomassie stainable particles; DEPTH, water; DF; Event label; Gotland Basin, Baltic Sea; Landsorttief, Baltic Sea; Range; SFB754; Transparent exopolymer particles, flux; Trap, drifting
    Type: Dataset
    Format: text/tab-separated-values, 32 data points
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  • 45
    Publication Date: 2024-04-27
    Keywords: AL458; AL458_473-2; AL458_485-2; Alkor (1990); Biogenic silica; Carbon, organic, particulate; Chlorophyll a; Climate - Biogeochemistry Interactions in the Tropical Ocean; Coomassie stainable particles; DEPTH, water; DF; Event label; Gotland Basin, Baltic Sea; Landsorttief, Baltic Sea; Nitrogen, particulate; Phosphorus, organic, particulate; Range; SFB754; Transparent exopolymer particles as Gum Xanthan equivalents per volume; Trap, drifting
    Type: Dataset
    Format: text/tab-separated-values, 293 data points
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  • 46
    Publication Date: 2024-04-27
    Keywords: 2011-10A; 405-10A; 408-10A; ANet2008_101; ANet2008_108; ANet2008_115; ANet2008_136; ANet2008_140; ANet2008_205; ANet2008_233; ANet2008_301; ANet2008_Barrow; ANet2008_Gibbs; ANet2008/11; ANet2009_105; ANet2009_109; ANet2009_111; ANet2009_115; ANet2009_136; ANet2009_304; ANet2009_308; ANet2009_323; ANet2009_405; ANet2009_408; ANet2009_437; ANet2009/4; Arctic; Arctic Net 2008 Leg 11; Arctic Net 2009 Leg 2; Arctic Net 2009 Leg 4; Baffin Bay; BC; Beaufort Sea; Box corer; CCGSA_4-10_CFL08; CCGS Amundsen; CFL10A_1020A; CFL10A_405; CFL10A_408; CFL10A_D37; CFL9_1116; CFL9_1200; CFL9_1216; CFL9_405B; CFL9_416; CFL9_434; CFL9_435; CFL9_9002; CFL9_D34; CFL9_DB01; CFL9_FB03; Chl a; Chlorophyll a; Chlorophyll a per unit sediment mass; Circumpolar Flaw Lead Leg 4-10a; Cruise/expedition; DEPTH, sediment/rock; Event label; Gibbs Fjord 2; Identification; IORVL/MALINA; Malina_110; Malina_140; Malina_235; Malina_260; Malina_345; Malina_390; Malina_680; Malina_690; North-West-Passage; phaeopigments; Phaeopigments; Phaeopigments per unit sediment mass; phytodetritus; sediment; Station label; Water content, sediment
    Type: Dataset
    Format: text/tab-separated-values, 10314 data points
    Location Call Number Expected Availability
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  • 47
    Publication Date: 2024-04-27
    Keywords: AGE; Aluminium; Aluminium oxide; AMD14_1b; AMD14-210_CASQ; ArcticNet; Baffin Bay; Calcium; Calcium oxide; Calypso square corer; CASQ; CCGS Amundsen; Chromium; DEPTH, sediment/rock; Holocene; Iron; Iron oxide, Fe2O3; Loss on ignition; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Melville Bay; Nares Strait; Phosphorus; Phosphorus pentoxide; Potassium; Potassium oxide; quantitative bulk mineralogy; Sample ID; sedimentary geochemistry; Silicon; Silicon dioxide; Strontium; Titanium; Titanium dioxide; Vanadium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 1796 data points
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  • 48
    Publication Date: 2024-04-27
    Keywords: Comment; Cruise/expedition; DATE/TIME; Identification; LATITUDE; Location; LONGITUDE; Reference/source; Size fraction; Station label
    Type: Dataset
    Format: text/tab-separated-values, 56657 data points
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  • 49
    Publication Date: 2024-04-27
    Keywords: 151-911A; AGE; Calculated; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Ice rafted debris; Joides Resolution; Leg151; North Greenland Sea
    Type: Dataset
    Format: text/tab-separated-values, 406 data points
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  • 50
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    Unknown
    PANGAEA
    In:  Supplement to: Sandaa, Ruth-Anne; Pree, Bernadette; Larsen, Aud; Våge, Selina; Töpper, Birte; Töpper, Joachim P; Thyrhaug, Runar; Thingstad, Tron Frede (2017): The Response of heterotrophic prokaryote and viral communities to labile organic carbon inputs is controlled by the predator food chain structure. Viruses, 9(9), 238, https://doi.org/10.3390/v9090238
    Publication Date: 2024-04-27
    Description: Two mesocosm experiments, PAME-I and PAME-II were conducted in 2007 and 2008 to investigate fate of organic carbon in the arctic microbial food web. Mesocosms were nutrient fertilized initially to induce phytoplankton bloom development. In PAME-I eight units (each 700 L) formed two four point gradients of additional DOC in form of glucose (0, 0.5, 1 and 3 times Redfield ratio in terms of carbon relative to the nitrogen and phosphorus additions) (Fig. 1). All the eight units also got a daily dose of NH4+ and PO4**3- in Redfield ratio. Two gradients were set up, one with silicate addition, performed in the Arctic location Ny Ålesund, Svalbard, have previously been reported to give different food-web level responses to similar nutrient perturbations. In PAME-II all ten units (each 900 L) formed two four point gradients of additional DOC in form of glucose (0, 0.5, 1, 2 and 3 times Redfield ratio in terms of carbon relative to nitrogen and phosphorus additions). The two gradients in glucose were kept silicate replete. NH4+ was used as the DIN source in one gradient (units 1 to 5) and NO3- in the other (units 6-9). All units got a daily dose of PO4**3- in Redfield ratio. Prokaryotes and viruses were measured by flow cytometry, while ciliate abundances were counted using a Flow Cam. Viral and bacterial diversity was measured by PFGE and DGGE, respectively. In PAME-II the abundance of ciliates was lower than in PAME-I, presumably caused by higher copepod grazing. The abundances of prokaryotes and viruses were also lower in PAME-II compared to PAME-I. Further, less diversity was detected in the viral community (FCM and PFGE) in PAME-II, and no response was observed in the bacterial community structure due to addition of organic carbon.
    Keywords: DATE/TIME; File content; File format; File size; Kongsfjorden-mesocosm; MESO; Mesocosm experiment; Principal investigator; Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
    Location Call Number Expected Availability
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