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  • PANGAEA  (33)
  • IOW Warnemünde  (1)
  • John Wiley & Sons, Inc.  (1)
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  • 1
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    Testing the usefulness of optical data for zooplankton long‐term monitoring: Taxonomic composition, abundance, biomass, and size spectra from ZooScan image analysis (2022)
    John Wiley & Sons, Inc. | Hoboken, USA
    Details
    Publication Date: 2022-11-01
    Description: The pelagic ecosystem of the Arctic Ocean is threatened by severe changes such as the reduction in sea‐ice coverage and increased inflow of warmer Atlantic water. The latter is already altering the zooplankton community, highlighting the need for monitoring studies. It is therefore essential to accelerate the taxonomic identification to speed up sample analysis, and to expand the analysis to biomass and size assessments, providing data for modeling efforts. Our case study in Fram Strait illustrates that image‐based analyses with the ZooScan provide abundance data and taxonomic resolutions that are comparable to microscopic analyses and are suitable for zooplankton monitoring purposes in the Arctic. We also show that image analysis allows to differentiate developmental stages of the key species Calanus spp. and Metridia longa and, thus, to study their population dynamics. Our results emphasize that older preserved samples can be successfully reanalyzed with ZooScan. To explore the applicability of image parameters for calculating total mesozooplankton and Calanus spp. biomasses, we used (1) conversion factors (CFs) translating wet mass to dry mass (DM), and (2) length–mass (LM) relationships. For Calanus spp., the calculated biomass values yielded similar results as direct DM measurements. Total mesozooplankton biomass ranged between 1.6 and 15 (LM) or 2.4 and 21 (CF) g DM m², respectively, which corresponds to previous studies in Fram Strait. Ultimately, a normalized biomass size spectra analysis provides 1st insights into the mesozooplankton size structure at different depths, revealing steep slopes in the linear fit in communities influenced by Atlantic water inflow.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Keywords: ddc:577.7
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 2
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    Energy content measurements on Arctic zooplankton collected during MOSAiC (PS122) (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    Description: This dataset contains energy content measurements performed on zooplankton collected in the Arctic Ocean during the MOSAiC expedition (PS122) from November 2019 untill September 2020. Energy content measurements were done on Apherusa glacialis, Themisto abyssorum, Chaetognatha, Thysanoessa longicaudata and Calanus hyperboreus. These species are all known prey of polar cod (Boreogadus saida), and their energy content was measured to be included in a bioenergetic model of the growth rate of this predator and to gain insight in the differences between prey species. The meaurements were performed on freeze-dried specimens using a 6725 semi-micro oxygen calorimeter (Parr, USA) connected to a 6772 calorimetric thermometer (Parr, USA).
    Keywords: Arctic; Arctic Ocean; BEAST; bomb-calorimetry; energy density; MOSAiC; MOSAiC_ECO; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Nansen closing net; NN; Polarstern; PS122/1; PS122/1_7-48; PS122/1_7-81; PS122/2; PS122/2_17-40; PS122/2_17-77; PS122/2_18-33; PS122/2_19-16; PS122/2_19-31; PS122/2_20-11; PS122/2_20-16; PS122/2_20-24; PS122/2_21-42; PS122/2_22-24; PS122/3; PS122/3_30-69; PS122/3_31-62; PS122/3_36-112; PS122/3_37-108; PS122/3_39-38; PS122/3_39-55; PS122/4; PS122/4_44-75; PS122/4_45-32; PS122/4_45-55; PS122/4_46-41; PS122/4_47-135; PS122/4_48-213; PS122/4_49-21; PS122/5; PS122/5_61-196; PS122/5_62-90; Remotely operated sensor platform BEAST; Ring net; RN; Zooplankton
    Type: dataset bundled publication
    Format: application/zip, 2 datasets
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    DATA PANGAEA
  • 3
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    Plankton community structure during KOSMOS 2011 mesocosm experiment in the Raunefjord (2017)
    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
    Details
    Publication Date: 2024-07-19
    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 publication series
    Format: application/zip, 4 datasets
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    DATA PANGAEA
  • 4
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    Grazing rates and body mass of Calanus finmarchicus and Calanus glacialis incubated under elevated pCO2 (2016)
    PANGAEA
    In:  Supplement to: Hildebrandt, Nicole; Sartoris, Franz-Josef; Schulz, Kai Georg; Riebesell, Ulf; Niehoff, Barbara (2015): Ocean acidification does not alter grazing in the calanoid copepods Calanus finmarchicus and Calanus glacialis. ICES Journal of Marine Science, https://doi.org/10.1093/icesjms/fsv226
    Details
    Publication Date: 2024-07-19
    Description: It is currently under debate whether organisms that regulate their acid-base status under environmental hypercapnia demand additional energy. This could impair animal fitness, but might be compensated for via increased ingestion rates when food is available. No data are yet available for dominant Calanus spp. from boreal and Arctic waters. To fill this gap, we incubated C. glacialis at 390, 1120 and 3000 µatm for 16 days with Thalassiosira weissflogii (diatom) as food source on-board RV Polarstern in Fram Strait in 2012. Every four days copepods were sub-sampled from all CO2 treatments and clearance and ingestion rates were determined. During the SOPRAN mesocosm experiment in Bergen, Norway, 2011, we weekly collected C. finmarchicus from mesocosms initially adjusted to 390 and 3000 µatm CO2 and measured grazing at low and high pCO2. In addition, copepods were deep frozen for body mass analyses. Elevated pCO2 did not directly affect grazing activities and body mass, suggesting that the copepods did not have additional energy demands for coping with acidification, neither during long-term exposure nor after immediate changes in pCO2. Shifts in seawater pH thus do not seem to challenge these copepod species.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; KOSMOS_2011_Bergen; MESO; Mesocosm experiment; Raunefjord; SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: dataset publication series
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 5
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    Abundance, biovolume, biomass and length measurements of mesozooplankton from the POLARSTERN cruise PS78 (ARK-XXVI/1) (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    Description: Mesozooplankton samples were collected with the Multinet midi (Hydrobios, Kiel) and Bongo nets during the POLARSTERN cruise PS78 (ARK-XXVI/1) on a transect across Fram Strait. The samples were analyzed with imaged-based ZooScan analysis (Gorsky et al. 2010) and microscopic counts to compare the taxonomic resolution and abundance of both methods as described in Cornils et al. (2022). The data collection includes abundance, biovolume, biomass and length measurements derived from the image-based analysis with ZooScan as well as abundances based on microscopic counts. To compare biomass estimates from image parameters direct measurements of prosome length and individual dry mass of Calanus spp. are also provided. The data analysis is described in Cornils et al. (2022).The R scripts deposited at GitHub (Cornils 2022) allow the transformation of the EcoTaxa image dataset https://ecotaxa.obs-vlfr.fr/prj/2771 to abundance, biovolume and dry mass of the zooplankton organisms.
    Keywords: Abundance; Biomass; biovolume; Copepoda; Fram Strait; QUAntifying Rapid Climate Change in the Arctic: regional feedbackS and large-scale impacts; QUARCCS; Zooplankton
    Type: dataset bundled publication
    Format: application/zip, 7 datasets
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    DATA PANGAEA
  • 6
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    Microplastics in water samples from the Fram Strait and the Arctic from July 2018 and August 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    Description: This dataset presents microplastics in water samples collected from the underway system and CTD alongside the August 2019 zooplankton samples presented in https://doi.pangaea.de/10.1594/PANGAEA.950296. These samples were initially digested using a homogenising solution and then filtered in preparation for Fourier Transform Infrared spectroscopy (FTIR) analysis in combination with an automated polymer identification approach (SIMPLE software) to identify polymer types, shape and size. Microplastics were also visualised using a microscope to further determine shape and size, particularly of fibres. Data collected on the microplastics found includes; polymer type, shape, size, species ingestion and location.
    Keywords: Amphipoda; Arctic; Bioavailability; BONGO; Bongo net; copepod; DEPTH, water; Event label; Fourier Transform Infrared spectroscopy (FTIR) in combination with automated polymer identification [SIMPLE software]; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; FTIR SIMPLE software; James Clark Ross; JR18007; JR18007_11; JR18007_57; JR18007_60; JR18007_75; JR18007_97; LATITUDE; Length, maximal; LONGITUDE; marine litter; microplastic ingestion; Microplastics; MSN150; Multiple opening/closing net, 150 µm meshsize; Plastic pollution; Polymer; Quality level; Size fraction; Type
    Type: dataset
    Format: text/tab-separated-values, 368 data points
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    DATA PANGAEA
  • 7
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    Microplastics in zooplankton samples from the the Fram Strait and the Arctic from July 2018 and August 2019 (2022)
    PANGAEA
    Details
    Publication Date: 2024-07-19
    Description: Zooplankton (amphipod and copepod) were collected using nets in the Fram Strait and the Arctic, in July 2018 and August 2019 for microplastic analysis. Water samples were also collected from the underway system and CTD alongside the August 2019 zooplankton samples (https://doi.pangaea.de/10.1594/PANGAEA.950239). All samples were initially digested using a homogenising solution and then filtered in preparation for Fourier Transform Infrared spectroscopy (FTIR) analysis in combination with an automated polymer identification approach (SIMPLE software) to identify polymer types, shape and size. Microplastics were also visualised using a microscope to further determine shape and size, particularly of fibres. Data collected on the microplastics found includes polymer type, shape, size, species ingestion and location.
    Keywords: Amphipoda; Arctic; Bioavailability; BONGO; Bongo net; copepod; CTD/Rosette; CTD-RO; Depth, bottom/max; Depth, top/min; Event label; Fourier Transform Infrared spectroscopy (FTIR) in combination with automated polymer identification [SIMPLE software]; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; FTIR SIMPLE software; James Clark Ross; JR18007; JR18007_11; JR18007_130; JR18007_57; JR18007_97; LATITUDE; Length, maximal; Light frame on-sight keyspecies investigation; LOKI; LONGITUDE; marine litter; microplastic ingestion; Microplastics; MSN; MSN150; Multiple opening/closing net; Multiple opening/closing net, 150 µm meshsize; Number of individuals; PARCA; Particle camera; Plastic pollution; Polarstern; Polymer; PS114; PS114_4-1; PS114_4-2; PS114_4-5; PS114_4-6; PS114_46-7; PS114_46-8; PS114_4-7; PS114_4-8; PS114_4-9; PS114_9-3; PS114_9-4; PS114_9-5; Quality level; Sample ID; Size fraction; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Type
    Type: dataset
    Format: text/tab-separated-values, 704 data points
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    DATA PANGAEA
  • 8
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    Information on polar cod (Boreogadus saida) from the central Arctic Ocean, used for stomach content analysis (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-25
    Description: This file contains data on polar cod (Boreogadus saida) used for stomach content analysis. The individuals caught from underneath the sea ice of the central Arctic Ocean during spring and summer. The fish were collected during Polarstern expeditions PS80 (2012), PS92 (2015), PS106.2 (2017) and PS122 (2019/2020). The data was collected to gain knowledge on the diet of polar cod and the ice-associated food web of the central Arctic. Fish parameters, such as length and weight, were recorded for 86 individuals. In addition, the condition index of the fish was calculated. The stomach and stomach contents were also weighed and the degree of digestion of the contents were estimated.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; ARK-XXVII/3; ARK-XXXI/1.2; BEAST; Boreogadus saida; Boreogadus saida, condition index; Boreogadus saida, sex; Boreogadus saida, standard length; Boreogadus saida, stomach content, mass; Boreogadus saida, stomach mass; Boreogadus saida, total length; Boreogadus saida, wet mass; Calculated according to Kohlbach et al. (2017); Central Arctic Ocean; Comment; Cruise/expedition; Date; DATE/TIME; Degree of digestion; DEPTH, water; Event label; FISHS; Fish sampling; Gear; LATITUDE; Location ID; LONGITUDE; microscopy; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; Precision Balance, Mettler Toledo, PC2000; PS106_50-5; PS106_67-5; PS106_70-1; PS106/2; PS106.2; PS122; PS122/1; PS122/1_10-113; PS122/4; PS122/4_48-279; PS122/4_49-128; PS122/5; PS122/5_59-265; PS122/5_59-50; PS122/5_60-126; PS122/5_60-19; PS122/5_62-195; PS80; PS80/216-1; PS80/223-1; PS80/248-1; PS80/258-1; PS80/276-1; PS80/285-1; PS80/321-1; PS80/331-1; PS80/345-1; PS80/358-1; PS80/376-1; PS80 IceArc; PS92; PS92/031-1; PS92/038-1; PS92/039-17; PS92/043-24; PS92/047-1; PS92/047-23; Rectangular midwater trawl; Remotely operated sensor platform BEAST; Ring net; RMT; RN; RULER; Ruler stick; Sample comment; Specimen identification; Stomach contents; Subsample ID; SUIT; Surface and under ice trawl; Tap; TAP
    Type: dataset
    Format: text/tab-separated-values, 1185 data points
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    DATA PANGAEA
  • 9
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    Length of prey items found in the stomach of polar cod (Boreogadus saida) from the central Arctic Ocean (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-25
    Description: This file contains length measurements performed on prey items found in the stomach content of polar cod (Boreogadus saida) caught from underneath the sea ice of the central Arctic Ocean during spring and summer. The fish were collected during Polarstern expeditions PS80 (2012), PS92 (2015), PS106.2 (2017) and PS122 (2019/2020). The data was collected to gain knowledge on the diet of polar cod and the ice-associated food web of the central Arctic. The stomach contents of 86 individuals were analysed using a Discovery V8 stereomicroscope (Zeiss, Germany). Length measurements were performed on prey items found in the stomachs using an AxioCam HRc with AxioVision40 V 4.8.2.0 software (Zeiss, Germany), including Calanus spp., Tisbe spp, Themisto spp, and Apherusa glacialis.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; ARK-XXVII/3; ARK-XXXI/1.2; BEAST; Boreogadus saida; Central Arctic Ocean; Event label; Eye, length; FISHS; Fish sampling; Head, length; Length, total; Life stage; microscopy; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; Prosome, length; PS106_50-5; PS106/2; PS106.2; PS122; PS122/1; PS122/1_10-113; PS122/4; PS122/4_48-279; PS122/5; PS122/5_59-50; PS122/5_60-19; PS80; PS80/216-1; PS80/223-1; PS80/248-1; PS80/258-1; PS80/276-1; PS80/285-1; PS80/321-1; PS80/345-1; PS80/358-1; PS80/376-1; PS80 IceArc; PS92; PS92/031-1; PS92/039-17; PS92/043-24; PS92/047-1; PS92/047-23; Rectangular midwater trawl; Remotely operated sensor platform BEAST; RMT; Sample type; Species; Stereo microscope, Zeiss, SteREO Discovery.V8; Stereo microscope, Zeiss, SteREO Discovery.V8; coupled to Microscope camera, Zeiss, AxioCam HRc [Software, Zeiss, AxioVision40 V 4.8.2.0]; Stomach contents; Subsample ID; SUIT; Surface and under ice trawl; Tap; TAP; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Telson, length; Type; Urosome, length
    Type: dataset
    Format: text/tab-separated-values, 2071 data points
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    DATA PANGAEA
  • 10
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    Diet of polar cod (Boreogadus saida) from the central Arctic Ocean (2024)
    PANGAEA
    Details
    Publication Date: 2024-07-26
    Description: This file contains stomach content data from polar cod (Boreogadus saida) caught from underneath the sea ice of the central Arctic Ocean during spring and summer. The fish were collected during Polarstern expeditions PS80 (2012), PS92 (2015), PS106.2 (2017) and PS122 (2019/2020). The data was collected to gain knowledge on the diet of polar cod and the ice-associated food web of the central Arctic. The stomach contents of 86 individuals were analysed using a Discovery V8 stereomicroscope (Zeiss, Germany). All recognizable food items were counted and are listed in this dataset. Fish parameters, such as length and weight, were recorded. In addition, the condition index of the fish was calculated. The stomach and stomach contens were also weighed and the degree of digestion of the contents were estimated. The dataset also contains length measurements performed on prey items found in the stomachs using an AxioCam HRc with AxioVision40 V 4.8.2.0 software (Zeiss, Germany), including Calanus spp., Tisbe spp, Themisto spp, and Apherusa glacialis.
    Keywords: Boreogadus saida; Central Arctic Ocean; microscopy; MOSAiC; Multidisciplinary drifting Observatory for the Study of Arctic Climate; PS106.2; PS122; PS80; PS92; Stomach contents
    Type: dataset bundled publication
    Format: application/zip, 3 datasets
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    DATA PANGAEA
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