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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Salvatteci, Renato;

    Here we present data of multiple types of fish debris in a composite record covering the last 25 kyr BP. The fish debris include fish scales, vertebrae and other bones. We also include 4 preservation indices, total organic carbon and carbonate fluxes.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
    0
    citations0
    popularityAverage
    influenceAverage
    impulseAverage
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Taucher, Jan; Lechtenbörger, Anna K; Bouquet, Jean-Marie; Spisla, Carsten; +9 Authors

    In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-01-04. We conducted an experiment with large volume in situ mesocosms (~55–60 m3 and 21 m depth) in Raunefjord (Bergen), Norway in 2015 to investigate how ocean acidification (OA) extreme events affect food web structure and carbon export in a natural plankton community, particularly focusing on the keystone species Oikopleura dioica, a globally abundant appendicularian.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Canning, Anna; Maier, Marie-Sophie; Wehrli, Bernhard; Körtzinger, Arne;

    Flow-through pCO2, O2 and some CH4 measurements throughout the Danube River Delta over 3 seasons; spring (17.05.2017 - 26.05.2017), summer (03.08.2017 - 12.08.2017) and autumn (13.10.2017 - 23.10.2017). Surface water flow-through system set up on a houseboat (see Canning et al., 2020). All running on the same water at almost the same time (within seconds), therefore all joined together into each data set. Gaps from sensors depend on when they were logging. For the pCO2, some gaps will be due to periods of zeroing and flushing. Depth of pumps: approx. 75cm Flow rate: ~ 5-6 L/min flow readings logged for Aug and Oct. May data was manually logged and recorded, therefore potential discrepancies. All data was processed following Canning et al., 2020 (In Review). Seasonal sensor data are in separate files. Sensors: pCO2: CONTROS HydroC CO2 FT pCH4: CONTROS HydroC CH4 FT - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany; now -4H-JENA engineering GmbH, Jena, Germany O2: CONTROS HydroFlash O2 - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany SBE 45 Micro Thermosalinograph - Sea-Bird Electronics, Bellevue, USA Gorgova climate station data used for climate data. Flags from internal questionable data are noted. Flags from notes in the field (such as plant coverage) are stated in meta data. During Aug, there was a high load of plant coverage and this has a separate flag column. Data split into rivers, channels and lakes through coding (RCL), with a description of each area in RCL comment. pCH4 and pCO2 converted into concentration using temperature, salinity, Wiesenburg and Guinasso 1979, and Weiss, 1974 respectively. Day-night codes in which the houseboat was stationary are marked in Day Night Code (numbering which for each cruise).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
    0
    citations0
    popularityAverage
    influenceAverage
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bussmann, Ingeborg; Anselm, Norbert; Brix, Holger; Fischer, Philipp; +2 Authors

    The southern North Sea (German Bight) is influenced by the inflowing water in the Tide-Elbe area and how it is further modified. For a better understanding of the different branches of relevant events it is necessary to investigate which are the main impacting factors for the terrestrial and coastal water quality. Therefore, during different cruises between 2019 and 2022 a group of parameters was continuously traced from the Elbe River basin (Czech/German border) to Tide-Elbe and Elbe estuary (Hamburg, Germany) until the German Bight. This dataset is about the third cruise of the project, Sternfahrt 3, conducted from the 10th to 11th of September 2019 in the south-east of Heligoland (North Sea). In this area a methane "plume" was located during the previous cruise in June 2019, thus the objective was to verify its horizontal and vertical extension as well as further investigations. To cover the whole area of the plume three research vessels (Littorina, Ludwig Prandtl and Uthörn) participated on the cruise. All ships started in Cuxhaven (northern Germany), on the first day Littorina and Uthörn followed a western course towards the south of Heligoland, while the Ludwig Prandtl crossed the plume on a more northern track. The second day the Ludwig Prandtl and Littorina took roughly the same course back to Cuxhaven. The vessel Uthörn however, first headed east, to explore the boundaries of the plume, and then crossed westwards back to Bremerhaven (northern Germany) (see map). In the beginning of each day all vessels met at one station (~ 100 – 600m distance) where measurements were conducted for 30 minutes to inter-calibrate the onboard sensor systems. During the cruises basic hydrographic parameters (salinity, temperature, oxygen saturation and pH), atmospheric and dissolved greenhouse gases were measured continuously. The inlets of the methane flow-through degasser (Los Gatos) and of the Ferry Box system (for physical and chemical oceanographic parameters) were submerged in a tank on deck which was connected with the underway water supply of the vessel feeding the container with surface water (~ 1m depth) with a flow rate of 100 L/minute. The Picarro air sampling system was set up on the outside recording permanently atmospheric partial carbon dioxide and methane. Additionally, vertical profiles and water samples were taken at specific stations along the tracks. The respective data can be found in the AWI O2A-database. The vertical data from the cruise are not included in this dataset. Further information about the whole campaign and the different cruises can be found in the article(s) cited in references. The data were taken in situ on board of three research vessels continuously measuring surface water. Afterwards the datasets were reviewed and a standardized (Argo-Standards, R-Script written by Philipp Fischer) plausibility control (spike, gradient, range) was conducted for all parameters except for wind direction. To align the data between the ships the complete cruise data and the data from the inter-calibration intervals were compared. Based on those comparisons a correction factor was calculated and applied to all data. For more details see "Device descriptions from ship measurement systems".

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
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    citations0
    popularityAverage
    influenceAverage
    impulseAverage
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bagge, Meike; Klemann, Volker; Dill, Robert; Dobslaw, Henryk;

    We provide present-day glacial isostatic adjustment (GIA) gravity changes simulated with the numerical model VILMA. The effects of Earth and ocean pole tide due to rotational deformation (considered in VILMA) were removed. The dataset contains the solutions for 56 GIA model ensemble members including 54 3D models and 2 1D models. The results are provided as Stokes coefficients with a resolution of degree/order 170.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ GFZ Data Servicesarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    GFZ Data Services
    Dataset . 2023
    Data sources: B2FIND
    GFZ Data Services
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ GFZ Data Servicesarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      GFZ Data Services
      Dataset . 2023
      Data sources: B2FIND
      GFZ Data Services
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Karstensen, Johannes; Krahmann, Gerd;

    Seabird 911plus systems equipped with dual temperature-conductivity-oxygen sensors were employed. All systems had a 24-bottle water sampling rosette with 10 l Niskin bottles. Water sampling, processing, and calibration followed GO-SHIP recommendations (Swift, 2010; McTaggart et al., 2010; Uchida et al., 2010) and included the recommended steps Data Conversion, Sensor Time-Alignment, Creation of Bottle Files, Outlier Removal, Pressure Sensor Filtering, Conductivity Cell Thermal Mass Correction, Ship Roll Correction and Deck Offset Correction by Loop Editing, as well as Derivation of Calculated Properties. After these steps, conductivity and oxygen readings were calibrated against values determined with salinometry and Winkler titration , respectively. Finally, the downcast data was averaged over 1 dbar wide intervals. An independent upcast calibration was used to obtain calibrated CTDO values coincident with the discrete water samples. PO-GLOBAL-SVN = 689 used on 10-Jun-2020 15:15:01Matlab = 9.4.0.813654 (R2018a)Release = 3nc_uncertainty_p = 2.000000nc_uncertainty_t = 0.002000nc_uncertainty_s = 0.003000nc_uncertainty_o = 1.000000

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Devey, Colin W; Le Saout, Morgane;

    During the MSM75 expedition on the Reykjanes Ridge, basaltic rocks and glass fragments were sampled using the remotely operated vehicle ROV PHOCA (Geomar) and a wax corer. Geochemical analyses have been performed on glass fragments of 171 samples, including 29 collected during ROV dives and 141 using the wax corer (VSR) and 1 sample using a grab (VVG). The major element contents of glasses were determined on a JEOL JXA-8200 Superprobe electron microprobe at GEOMAR using a 15 kV accelerating voltage on December 19th, 2018 and May 21st and 22nd, 2019. Matrix glasses were analyzed using a beam diameter of 5 μm, 10 nA beam current, and VGA 99 (USNM 113498/1) and VG-2 (USNM 111240) as standards (Jarosewich, 2002). Peak and background counting times were generally 20 s and 10 s, respectively.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEA - Data Publi...arrow_drop_down
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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: van der Zwan, Froukje M; Augustin, Nico;

    This zip file contains a processed high-resolution (2m) bathymetry grid from the summit of the Hatiba Mons volcano in the Red Sea rift. The data were collected in February 2022 with a 6000m rated Hugin Superior AUV provided by FUGRO. The AUV carried a Kongsberg EM2040 Mk2 multibeam echosounder set to 200 kHz. USBL navigation data were post-processed in NavLab. The bathymetry data were post-processed, merged with the corrected navigation, gridded, and interpolated in QPS Qimera. Multibeam backscatter data (1m) were mosaiced in QPS FMGT from the raw data and cleaned Qimera GSF exports (both mosaics are provided). All files' coordinate reference system (CRS) is EPSG:32637 - WGS 84 / UTM zone 37N.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Taucher, Jan; Lechtenbörger, Anna K; Lohbeck, Kai T; Spisla, Carsten; +2 Authors

    This dataset is from an experiment with large-volume in situ mesocosms (~55-60 m3 and 21 m depth) in Raunefjord (Bergen), Norway in 2015. In this pelagic in situ mesocosm experiment, we assessed how ocean acidification (particularly episodic extreme events) affect natural plankton communities. A particular focus was the response of the appendicularian Oikopleura dioica, and its influence on vertical carbon fluxes. Therefore, we sampled ecological and biogeochemical key parameters for 49 days in regular intervals.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Bussmann, Ingeborg; Brix, Holger; Fischer, Philipp; Flöser, Götz; +1 Authors

    The southern North Sea (German Bight) is influenced by the inflowing water in the Tide-Elbe area and how it is further modified. For a better understanding of the different branches of relevant events it is necessary to investigate which are the main impacting factors for the terrestrial and coastal water quality. Therefore, during different cruises between 2019 and 2022 a group of parameters was continuously traced from the Elbe River basin (Czech/German border) to Tide-Elbe and Elbe estuary (Hamburg, Germany) until the German Bight. This dataset is about the cruise "Sternfahrt 5" from August 31 to September 03 in 2020, with the objective to detect the spatial extension of the riverine influence of Elbe and Weser. Therefore, three research vessels have been involved to cover a broad area of the German Bight between Hamburg, Heligoland and Sylt. All three research vessels (Littorina, Ludwig Prandtl and Mya II) started together on the first day from Cuxhaven to Heligoland. The first day and whenever two or three of the ships met, one measuring was made together as inter-calibration station (for more details, see file description), in total four. From the second day the ship Littorina travelled between Heligoland and Büsum, one track each day. The Ludwig Prandtl headed the second day towards Wyk auf Föhr. Afterwards the crew navigated further north towards Sylt and turning back to Wyk on the same day. The last day they went back from there to Cuxhaven meeting with the vessel Littorina for a last inter-calibration station. The vessel Mya II instead was navigating on the second and third day first to Bremerhaven and on a more western track back to Heligoland. To also cover the northern part of the research area, on the last day the crew travelled to Sylt, the home harbour of the vessel. Therefore, it was not participating on the last inter-calibration station off Cuxhaven. All ships took measurements of basic hydrographic parameters (salinity, temperature, oxygen saturation, pH) and atmospheric and dissolved greenhouse gases (methane and carbon dioxide). The parameters were measured continuously on the way by specific sensors submerged in a water reservoir on deck which was supplied with surface water (about 1m depth) from the underway water supply of the vessel. Methane and carbon dioxide were measured in the surface water and in the atmosphere with the sensors "LosGatos" and "Picarro". Ferrybox systems measured physical and chemical oceanographic parameters including salinity, temperature, pH. At specific stations along the tracks additionally vertical profiles were taken as well as water samples from the surface. The respective data can be found in: Bussmann, Ingeborg, Flöser, Götz, Geißler, Felix (2021): Carbon compounds, nutrients and pigments from water samples from MOSES project's cruise Sternfahrt 5. PANGAEA, https://doi.org/10.1594/PANGAEA.934894. Further profile data can be found in the AWI O2A-Database as download. Additional information about the whole campaign and different cruises can be found in the article(s) cited. The data were taken in situ on board of three research vessels continuously measuring surface water. Afterwards the datasets were reviewed and a standardized plausibility control was conducted (Argo-Standards, R-Script written by Philipp Fischer for spike, gradient, range check) with all parameters except for wind direction. To align the data between the ships the following procedure was applied. At four inter-calibration intervals the three vessels were within close distance (100 – 600 m), continuously sampling the same water body. Next the data (for example temperature) were compared between the ships, over the complete time of the cruise and over the inter-calibration intervals. From these comparisons a correction factor was calculated and applied to all data. For example, on Stern-5 the water temperature from Littorina was used as lead sensor, and to the data from Prandtl +0.03° were added, and -0.07° were subtracted from the data from the Mya. For more details see "Device descriptions from ship measurement systems".

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Salvatteci, Renato;

    Here we present data of multiple types of fish debris in a composite record covering the last 25 kyr BP. The fish debris include fish scales, vertebrae and other bones. We also include 4 preservation indices, total organic carbon and carbonate fluxes.

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Taucher, Jan; Lechtenbörger, Anna K; Bouquet, Jean-Marie; Spisla, Carsten; +9 Authors

    In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-01-04. We conducted an experiment with large volume in situ mesocosms (~55–60 m3 and 21 m depth) in Raunefjord (Bergen), Norway in 2015 to investigate how ocean acidification (OA) extreme events affect food web structure and carbon export in a natural plankton community, particularly focusing on the keystone species Oikopleura dioica, a globally abundant appendicularian.

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    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
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    Authors: Canning, Anna; Maier, Marie-Sophie; Wehrli, Bernhard; Körtzinger, Arne;

    Flow-through pCO2, O2 and some CH4 measurements throughout the Danube River Delta over 3 seasons; spring (17.05.2017 - 26.05.2017), summer (03.08.2017 - 12.08.2017) and autumn (13.10.2017 - 23.10.2017). Surface water flow-through system set up on a houseboat (see Canning et al., 2020). All running on the same water at almost the same time (within seconds), therefore all joined together into each data set. Gaps from sensors depend on when they were logging. For the pCO2, some gaps will be due to periods of zeroing and flushing. Depth of pumps: approx. 75cm Flow rate: ~ 5-6 L/min flow readings logged for Aug and Oct. May data was manually logged and recorded, therefore potential discrepancies. All data was processed following Canning et al., 2020 (In Review). Seasonal sensor data are in separate files. Sensors: pCO2: CONTROS HydroC CO2 FT pCH4: CONTROS HydroC CH4 FT - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany; now -4H-JENA engineering GmbH, Jena, Germany O2: CONTROS HydroFlash O2 - formerly Kongsberg Maritime Contros GmbH, Kiel, Germany SBE 45 Micro Thermosalinograph - Sea-Bird Electronics, Bellevue, USA Gorgova climate station data used for climate data. Flags from internal questionable data are noted. Flags from notes in the field (such as plant coverage) are stated in meta data. During Aug, there was a high load of plant coverage and this has a separate flag column. Data split into rivers, channels and lakes through coding (RCL), with a description of each area in RCL comment. pCH4 and pCO2 converted into concentration using temperature, salinity, Wiesenburg and Guinasso 1979, and Weiss, 1974 respectively. Day-night codes in which the houseboat was stationary are marked in Day Night Code (numbering which for each cruise).

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    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
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    Authors: Bussmann, Ingeborg; Anselm, Norbert; Brix, Holger; Fischer, Philipp; +2 Authors

    The southern North Sea (German Bight) is influenced by the inflowing water in the Tide-Elbe area and how it is further modified. For a better understanding of the different branches of relevant events it is necessary to investigate which are the main impacting factors for the terrestrial and coastal water quality. Therefore, during different cruises between 2019 and 2022 a group of parameters was continuously traced from the Elbe River basin (Czech/German border) to Tide-Elbe and Elbe estuary (Hamburg, Germany) until the German Bight. This dataset is about the third cruise of the project, Sternfahrt 3, conducted from the 10th to 11th of September 2019 in the south-east of Heligoland (North Sea). In this area a methane "plume" was located during the previous cruise in June 2019, thus the objective was to verify its horizontal and vertical extension as well as further investigations. To cover the whole area of the plume three research vessels (Littorina, Ludwig Prandtl and Uthörn) participated on the cruise. All ships started in Cuxhaven (northern Germany), on the first day Littorina and Uthörn followed a western course towards the south of Heligoland, while the Ludwig Prandtl crossed the plume on a more northern track. The second day the Ludwig Prandtl and Littorina took roughly the same course back to Cuxhaven. The vessel Uthörn however, first headed east, to explore the boundaries of the plume, and then crossed westwards back to Bremerhaven (northern Germany) (see map). In the beginning of each day all vessels met at one station (~ 100 – 600m distance) where measurements were conducted for 30 minutes to inter-calibrate the onboard sensor systems. During the cruises basic hydrographic parameters (salinity, temperature, oxygen saturation and pH), atmospheric and dissolved greenhouse gases were measured continuously. The inlets of the methane flow-through degasser (Los Gatos) and of the Ferry Box system (for physical and chemical oceanographic parameters) were submerged in a tank on deck which was connected with the underway water supply of the vessel feeding the container with surface water (~ 1m depth) with a flow rate of 100 L/minute. The Picarro air sampling system was set up on the outside recording permanently atmospheric partial carbon dioxide and methane. Additionally, vertical profiles and water samples were taken at specific stations along the tracks. The respective data can be found in the AWI O2A-database. The vertical data from the cruise are not included in this dataset. Further information about the whole campaign and the different cruises can be found in the article(s) cited in references. The data were taken in situ on board of three research vessels continuously measuring surface water. Afterwards the datasets were reviewed and a standardized (Argo-Standards, R-Script written by Philipp Fischer) plausibility control (spike, gradient, range) was conducted for all parameters except for wind direction. To align the data between the ships the complete cruise data and the data from the inter-calibration intervals were compared. Based on those comparisons a correction factor was calculated and applied to all data. For more details see "Device descriptions from ship measurement systems".

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    PANGAEA
    Dataset . 2024
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2024
      Data sources: B2FIND
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    Authors: Bagge, Meike; Klemann, Volker; Dill, Robert; Dobslaw, Henryk;

    We provide present-day glacial isostatic adjustment (GIA) gravity changes simulated with the numerical model VILMA. The effects of Earth and ocean pole tide due to rotational deformation (considered in VILMA) were removed. The dataset contains the solutions for 56 GIA model ensemble members including 54 3D models and 2 1D models. The results are provided as Stokes coefficients with a resolution of degree/order 170.

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    GFZ Data Services
    Dataset . 2023
    Data sources: B2FIND
    GFZ Data Services
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      GFZ Data Services
      Dataset . 2023
      Data sources: B2FIND
      GFZ Data Services
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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    Authors: Karstensen, Johannes; Krahmann, Gerd;

    Seabird 911plus systems equipped with dual temperature-conductivity-oxygen sensors were employed. All systems had a 24-bottle water sampling rosette with 10 l Niskin bottles. Water sampling, processing, and calibration followed GO-SHIP recommendations (Swift, 2010; McTaggart et al., 2010; Uchida et al., 2010) and included the recommended steps Data Conversion, Sensor Time-Alignment, Creation of Bottle Files, Outlier Removal, Pressure Sensor Filtering, Conductivity Cell Thermal Mass Correction, Ship Roll Correction and Deck Offset Correction by Loop Editing, as well as Derivation of Calculated Properties. After these steps, conductivity and oxygen readings were calibrated against values determined with salinometry and Winkler titration , respectively. Finally, the downcast data was averaged over 1 dbar wide intervals. An independent upcast calibration was used to obtain calibrated CTDO values coincident with the discrete water samples. PO-GLOBAL-SVN = 689 used on 10-Jun-2020 15:15:01Matlab = 9.4.0.813654 (R2018a)Release = 3nc_uncertainty_p = 2.000000nc_uncertainty_t = 0.002000nc_uncertainty_s = 0.003000nc_uncertainty_o = 1.000000

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Devey, Colin W; Le Saout, Morgane;

    During the MSM75 expedition on the Reykjanes Ridge, basaltic rocks and glass fragments were sampled using the remotely operated vehicle ROV PHOCA (Geomar) and a wax corer. Geochemical analyses have been performed on glass fragments of 171 samples, including 29 collected during ROV dives and 141 using the wax corer (VSR) and 1 sample using a grab (VVG). The major element contents of glasses were determined on a JEOL JXA-8200 Superprobe electron microprobe at GEOMAR using a 15 kV accelerating voltage on December 19th, 2018 and May 21st and 22nd, 2019. Matrix glasses were analyzed using a beam diameter of 5 μm, 10 nA beam current, and VGA 99 (USNM 113498/1) and VG-2 (USNM 111240) as standards (Jarosewich, 2002). Peak and background counting times were generally 20 s and 10 s, respectively.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
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    Authors: van der Zwan, Froukje M; Augustin, Nico;

    This zip file contains a processed high-resolution (2m) bathymetry grid from the summit of the Hatiba Mons volcano in the Red Sea rift. The data were collected in February 2022 with a 6000m rated Hugin Superior AUV provided by FUGRO. The AUV carried a Kongsberg EM2040 Mk2 multibeam echosounder set to 200 kHz. USBL navigation data were post-processed in NavLab. The bathymetry data were post-processed, merged with the corrected navigation, gridded, and interpolated in QPS Qimera. Multibeam backscatter data (1m) were mosaiced in QPS FMGT from the raw data and cleaned Qimera GSF exports (both mosaics are provided). All files' coordinate reference system (CRS) is EPSG:32637 - WGS 84 / UTM zone 37N.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Taucher, Jan; Lechtenbörger, Anna K; Lohbeck, Kai T; Spisla, Carsten; +2 Authors

    This dataset is from an experiment with large-volume in situ mesocosms (~55-60 m3 and 21 m depth) in Raunefjord (Bergen), Norway in 2015. In this pelagic in situ mesocosm experiment, we assessed how ocean acidification (particularly episodic extreme events) affect natural plankton communities. A particular focus was the response of the appendicularian Oikopleura dioica, and its influence on vertical carbon fluxes. Therefore, we sampled ecological and biogeochemical key parameters for 49 days in regular intervals.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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    Authors: Bussmann, Ingeborg; Brix, Holger; Fischer, Philipp; Flöser, Götz; +1 Authors

    The southern North Sea (German Bight) is influenced by the inflowing water in the Tide-Elbe area and how it is further modified. For a better understanding of the different branches of relevant events it is necessary to investigate which are the main impacting factors for the terrestrial and coastal water quality. Therefore, during different cruises between 2019 and 2022 a group of parameters was continuously traced from the Elbe River basin (Czech/German border) to Tide-Elbe and Elbe estuary (Hamburg, Germany) until the German Bight. This dataset is about the cruise "Sternfahrt 5" from August 31 to September 03 in 2020, with the objective to detect the spatial extension of the riverine influence of Elbe and Weser. Therefore, three research vessels have been involved to cover a broad area of the German Bight between Hamburg, Heligoland and Sylt. All three research vessels (Littorina, Ludwig Prandtl and Mya II) started together on the first day from Cuxhaven to Heligoland. The first day and whenever two or three of the ships met, one measuring was made together as inter-calibration station (for more details, see file description), in total four. From the second day the ship Littorina travelled between Heligoland and Büsum, one track each day. The Ludwig Prandtl headed the second day towards Wyk auf Föhr. Afterwards the crew navigated further north towards Sylt and turning back to Wyk on the same day. The last day they went back from there to Cuxhaven meeting with the vessel Littorina for a last inter-calibration station. The vessel Mya II instead was navigating on the second and third day first to Bremerhaven and on a more western track back to Heligoland. To also cover the northern part of the research area, on the last day the crew travelled to Sylt, the home harbour of the vessel. Therefore, it was not participating on the last inter-calibration station off Cuxhaven. All ships took measurements of basic hydrographic parameters (salinity, temperature, oxygen saturation, pH) and atmospheric and dissolved greenhouse gases (methane and carbon dioxide). The parameters were measured continuously on the way by specific sensors submerged in a water reservoir on deck which was supplied with surface water (about 1m depth) from the underway water supply of the vessel. Methane and carbon dioxide were measured in the surface water and in the atmosphere with the sensors "LosGatos" and "Picarro". Ferrybox systems measured physical and chemical oceanographic parameters including salinity, temperature, pH. At specific stations along the tracks additionally vertical profiles were taken as well as water samples from the surface. The respective data can be found in: Bussmann, Ingeborg, Flöser, Götz, Geißler, Felix (2021): Carbon compounds, nutrients and pigments from water samples from MOSES project's cruise Sternfahrt 5. PANGAEA, https://doi.org/10.1594/PANGAEA.934894. Further profile data can be found in the AWI O2A-Database as download. Additional information about the whole campaign and different cruises can be found in the article(s) cited. The data were taken in situ on board of three research vessels continuously measuring surface water. Afterwards the datasets were reviewed and a standardized plausibility control was conducted (Argo-Standards, R-Script written by Philipp Fischer for spike, gradient, range check) with all parameters except for wind direction. To align the data between the ships the following procedure was applied. At four inter-calibration intervals the three vessels were within close distance (100 – 600 m), continuously sampling the same water body. Next the data (for example temperature) were compared between the ships, over the complete time of the cruise and over the inter-calibration intervals. From these comparisons a correction factor was calculated and applied to all data. For example, on Stern-5 the water temperature from Littorina was used as lead sensor, and to the data from Prandtl +0.03° were added, and -0.07° were subtracted from the data from the Mya. For more details see "Device descriptions from ship measurement systems".

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      PANGAEA
      Dataset . 2023
      Data sources: B2FIND
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