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  • Articles  (5,666)
  • 2020-2024  (5,666)
  • 2005-2009  (2)
  • 2022  (5,666)
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  • 1
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: BASIN 2019 Sediment properties
    Description: Sediments were collected in Fall 2019 across three transects in the Santa Barbara Basin using the ROV Jason during R/V Atlantis cruise AT42-19. This dataset consists of the sediment parameters porosity and density. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867113
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829981, NSF Division of Ocean Sciences (NSF OCE) OCE-1830033
    Description: 2022-12-31
    Keywords: Santa Barbara Basin ; Sediments ; Density ; Porosity
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
    Publication Date: 2022-12-31
    Description: Dataset: Acer Fecundity Gamete Bundles
    Description: As a secondary assessment of fecundity, colonies of Acropora cerviconis (various genets) were taken to Mote Marine Laboratory in August 2020 for spawning and ex situ assisted sexual reproduction. From genets that spawned, forty random gamete bundles were collected during spawning and the total number of eggs and sperm per bundle were quantified. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/868493
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538
    Description: 2022-12-31
    Keywords: Coral ; Fecundity ; Spawning ; Gamete bundle
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: BASIN 2019 Porewater geochemistry
    Description: Sediments were collected in Fall 2019 across three transects in the Santa Barbara Basin using the ROV Jason during R/V Atlantis cruise AT42-19. Porewater was separated from the sediments and geochemical properties measured. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867007
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829981, NSF Division of Ocean Sciences (NSF OCE) OCE-1830033
    Description: 2022-12-31
    Keywords: Santa Barbara Basin ; Sediments ; Porewater ; Geochemistry
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: BASIN 2019 Microbial activity
    Description: Sediments were collected in Fall 2019 across three transects in the Santa Barbara Basin using the ROV Jason during R/V Atlantis cruise AT42-19. Microbial activity in the sediments was determined by measuring sulfate reduction rates. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867221
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829981, NSF Division of Ocean Sciences (NSF OCE) OCE-1830033
    Description: 2022-12-31
    Keywords: Santa Barbara Basin ; Sediments ; Sulfate reduction
    Repository Name: Woods Hole Open Access Server
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: Acer Fecundity Polpys per Area
    Description: Primary fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents information on the number of polyps per area from linear branches of five colonies with 12 genets held in Mote Marine Lab’s spawning nurseries. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/868308
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538
    Description: 2022-12-31
    Keywords: Coral ; Fecundity ; Polyps
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: Acer Fecundity Oocyte Size
    Description: Primary fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents information on oocyte sizes from dissections of coral polyps from five adult colonies containing 12 genets held in Mote Marine Lab’s spawning nurseries. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843067
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538
    Description: 2022-12-31
    Keywords: Coral ; Fecundity ; Oocyte ; Reproduction
    Repository Name: Woods Hole Open Access Server
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: Acropora hyacinthus ITS2 amplicon sequencing
    Description: This dataset represents ITS2 amplicon sequences from Acropora hyacinthus samples collected at mutliple timepoints in Moorea, French Polynesia after the mass bleaching event of 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/876564
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1935308, NSF Division of Ocean Sciences (NSF OCE) OCE-1935305
    Description: 2022-12-31
    Keywords: Coral bleaching ; Acropora hyacinthus ; Moorea
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-31
    Description: Dataset: Acer Fecundity Oocyte Number
    Description: Primary fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents oocyte numbers from dissections of coral polyps from five adult colonies from 12 genets held in Mote Marine Lab’s spawning nurseries. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867314
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538
    Description: 2022-12-31
    Keywords: Coral ; Fecundity ; Oocyte ; Reproduction
    Repository Name: Woods Hole Open Access Server
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  • 9
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    PERGAMON-ELSEVIER SCIENCE LTD
    In:  EPIC3Progress In Oceanography, PERGAMON-ELSEVIER SCIENCE LTD, 203(102776), ISSN: 0079-6611
    Publication Date: 2023-06-21
    Description: Larval dispersal is a fundamental process responsible for colonization and connectivity of benthic invertebrate populations. It is difficult to study larval dispersal in polar environments because weather and climate conditions restrict sample collection to certain seasons. In this study, we leveraged oceanographic moorings as long-term scientific platforms for collecting larvae and recruits of benthic invertebrate species in the Fram Strait and along the continental slope north of Svalbard in 2017–2021. Larval traps and fouling panels were deployed at various depths on 15 moorings at 8 locations, and additional specimens of biofouling were obtained opportunistically from moored instruments. Our results showed a significant difference in species composition between samples collected in Atlantic Water in the West Spitsbergen Current (WSC) and samples collected in Arctic Water near the seafloor and in the East Greenland Current (EGC) in the western part of the Fram Strait. There was also a stark difference between Atlantic Water species in the Fram Strait and on the north Svalbard slope. Most specimens collected in the WSC belonged to species with long-duration planktotrophic larvae, such as the ubiquitous bivalve Hiatella arctica, the bryozoan Alcyonidium mamillatum, and two nudibranchs. Samplers exposed primarily to Arctic water at their given depth and location were dominated by hydrozoans. We observed medusae budding off of the hydroids Stegopoma plicatile and Rhizoragium roseum. Our study demonstrates that the WSC is an important vector for larval dispersal into the central Arctic Ocean. Integration of biological samplers on oceanographic moorings holds great promise for monitoring efforts as climate change progresses, especially in environments where research is challenging and seasonally limited, such as the Arctic. 1. Introduction For benthic invertebrates, especially those with sessile adult stages (e.g., sponges, anemones), larval dispersal is the primary mechanism of dispersal to new habitats (Pechenik, 1999). The patterns and mechanisms of larval dispersal are difficult to study in the Arctic Ocean, where weather and climate conditions restrict sample collection to summer months. As a result, larval dispersal and the subsequent processes of settlement and recruitment in benthic invertebrates are poorly understood in the Arctic Ocean, despite their importance. Oceanographic moorings provide excellent platforms for studying larval dispersal, recruitment, and growth of organisms (Chava et al., 2021; Schiaparelli and Aliani, 2019). Instruments and floats on a mooring are deployed in the water column by design, so the
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
    Publication Date: 2023-06-21
    Description: Phytoplankton in the sunlit layer of the ocean act as the base of the marine food web fueling fisheries, and also regulate key biogeochemical processes. Phytoplankton composition structure varies in ocean biomes and different phytoplankton groups drive differently the marine ecosystem and biogeochemical processes. Because of this, variations in phytoplankton composition influence the entire ocean environment, specifically the ocean energy transfer and the export of organic carbon to the deep ocean. As one of the algorithms deriving phytoplankton composition from space borne data, within the framework of the EU Copernicus Marine Service (CMEMS), EOF-PFT algorithm was developed using multi-spectral satellite data collocated to an extensive in-situ PFT data set based on HPLC pigments and sea surface temperature data (Xi et al. 2020, 2021; https://marine.copernicus.eu/). By using multi-sensor merged products and Sentinel-3 OLCI data, the algorithm provides global chlorophyll a data with per-pixel uncertainty for diatoms, haptophytes, dinoflagellates, chlorophytes and prokaryotic phytoplankton spanning the period from 2002 until today. Due to different lifespans and radiometric characteristics of the ocean color sensors, the consistency of the PFTs is evaluated to provide quality-assured data for a consistent long-term monitoring of the phytoplankton community structure. As current commonly used phytoplankton carbon estimation methods rely mostly on the backscattering property of phytoplankton, which could vary dramatically for different phytoplankton taxa, as a perspective of this study, phytoplankton carbon may be better estimated in a way that accounts for phytoplankton taxonomy.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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