Browsing ⇒ SCOR: Scientific Committee on Oceanic Research by Subject "Data analysis"

Now showing items 1-3 of 3

    • COI Metabarcoding of Zooplankton Species Diversity for Time-Series Monitoring of the NW Atlantic Continental Shelf. 

      Bucklin, Ann; Batta-Lona, Paola G.; Questel, Jennifer M.; Wiebe, Peter H.; Richardson, David E.; Copley, Nancy J.; O’Brien, Todd D. (2022)
      Marine zooplankton are rapid-responders and useful indicators of environmental variability and climate change impacts on pelagic ecosystems on time scales ranging from seasons to years to decades. The systematic complexity ...

    • Ocean Sound Essential Ocean Variable Implementation Plan. 

      Tyack, P.L.; Akamatsu, T.; Boebel, O.; Chapuis, L.; Debusschere, E; de Jong, C.; Erbe, C.; Evans, K.; Gedamke, J.; Gridley, T.; Haralabus, G.; Jenkins, R.; Miksis-Olds, J.; Sagen, H.; Thomsen, F.; Thomisch, K.; Urban, E. (International Quiet Ocean Experiment, Scientific Committee on Oceanic Research and Partnership for Observation of the Global Ocean, 2023)
      This document provides guidance for the addition of acoustic observations to the Global Ocean Observing System (GOOS) through implementation of the Ocean Sound Essential Ocean Variable (EOV). The goal of this Ocean Sound ...

    • Single-Turnover Variable Chlorophyll Fluorescence as a Tool for Assessing Phytoplankton Photosynthesis and Primary Productivity: Opportunities, Caveats and Recommendations. 

      Schuback, Nina; Tortell, Philippe D.; Berman-Frank, Ilana; Campbell, Douglas A.; Ciotti, Aurea; Courtecuisse, Emilie; Erickson, Zachary K.; Fujiki, Tetsuichi; Halsey, Kimberly; Hickman, Anna E.; Huot, Yannick; Gorbunov, Maxime Y.; Hughes, David J.; Kolber, Zbigniew S.; Moore, C. Mark; Oxborough, Kevin; Prášil, Ondˇrej; Robinson, Charlotte M.; Ryan-Keogh, Thomas J.; Silsbe, Greg; Simis, Stefan; Suggett, David J.; Thomalla, Sandy; Varkey, Deepa R. (2021)
      Phytoplankton photosynthetic physiology can be investigated through single-turnover variable chlorophyll fluorescence (ST-ChlF) approaches, which carry unique potential to autonomously collect data at high spatial and ...