Data

Growth rate and Fast Repetition Rate fluorometry (FRRf) of phytoplankton

University of Tasmania, Australia
Guo, Jiaying
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25959/1Z63-7555&rft.title=Growth rate and Fast Repetition Rate fluorometry (FRRf) of phytoplankton&rft.identifier=10.25959/1Z63-7555&rft.description=Ocean alkalinity enhancement (OAE) is a promising carbon removal method, but it may cause a significant perturbation of the ocean with trace metals such as Nickel (Ni). This study tested the effect of increasing Ni concentrations on phytoplankton growth and photosynthesis. The data were the growth rates of 11 phytoplankton species under different Ni concentrations (Master thesis project). The growth rates were calculated using daily fluorescence signal values measured by the fluorometer. Fv/Fm and SigmaPSII data were measured using Fast repetition rate fluorometry (FRRf). The growth rate and photo-physiological response of phytoplankton was analysed using generalised additive models (GAMs) and plotted in RStudio (R packages “mgcv” and “ggplot2”).Maintenance and Update Frequency: notPlannedStatement: Phytoplankton cultures were kept in tubes and grown at 17°C. The light was provided on a 14-to-10-hour daily cycle (cool white fluorescence light) where light intensities were 58 μmol photons m-2 s-1 (14 hours) and 23 μmol photons m-2 s-1 (10 hours). The fluorescence of these cultures was measured daily using a fluorometer and values during the exponential growth phase were ln-transferred for growth rate calculation. Fv/Fm and SigmaPSII data were measured using Fast repetition rate fluorometry (FRRf). The growth rate and photo-physiological response of phytoplankton were analysed using generalised additive models (GAMs) and plotted in RStudio (R packages “mgcv” and “ggplot2”).&rft.creator=Guo, Jiaying &rft.date=2015&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=Cite data as: Guo, J. (2021). Growth rate and Fast Repetition Rate fluorometry (FRRf) of phytoplankton [Dataset]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/1Z63-7555&rft_subject=biota&rft_subject=MICROALGAE&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=PLANTS&rft_subject=CYANOBACTERIA (BLUE-GREEN ALGAE)&rft_subject=BACTERIA/ARCHAEA&rft_subject=TRACE METALS&rft_subject=TERRESTRIAL HYDROSPHERE&rft_subject=WATER QUALITY/WATER CHEMISTRY&rft_subject=Biological Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft.type=dataset&rft.language=English Access the data
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Cite data as: Guo, J. (2021). Growth rate and Fast Repetition Rate fluorometry (FRRf) of phytoplankton [Dataset]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/1Z63-7555

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Ocean alkalinity enhancement (OAE) is a promising carbon removal method, but it may cause a significant perturbation of the ocean with trace metals such as Nickel (Ni). This study tested the effect of increasing Ni concentrations on phytoplankton growth and photosynthesis. The data were the growth rates of 11 phytoplankton species under different Ni concentrations (Master thesis project). The growth rates were calculated using daily fluorescence signal values measured by the fluorometer. Fv/Fm and SigmaPSII data were measured using Fast repetition rate fluorometry (FRRf). The growth rate and photo-physiological response of phytoplankton was analysed using generalised additive models (GAMs) and plotted in RStudio (R packages “mgcv” and “ggplot2”).

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Maintenance and Update Frequency: notPlanned
Statement: Phytoplankton cultures were kept in tubes and grown at 17°C. The light was provided on a 14-to-10-hour daily cycle (cool white fluorescence light) where light intensities were 58 μmol photons m-2 s-1 (14 hours) and 23 μmol photons m-2 s-1 (10 hours). The fluorescence of these cultures was measured daily using a fluorometer and values during the exponential growth phase were ln-transferred for growth rate calculation. Fv/Fm and SigmaPSII data were measured using Fast repetition rate fluorometry (FRRf). The growth rate and photo-physiological response of phytoplankton were analysed using generalised additive models (GAMs) and plotted in RStudio (R packages “mgcv” and “ggplot2”).

Notes

Credit
This study was funded by the Australian Research Council by Future Fellowship FT200100846 awarded to Lennart Bach.

Created: 2021-11-19

Data time period: 2021-03-01 to 2021-08-31

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Subjects
BACTERIA/ARCHAEA | BIOLOGICAL CLASSIFICATION | Biological Oceanography | CYANOBACTERIA (BLUE-GREEN ALGAE) | EARTH SCIENCE | Earth Sciences | MICROALGAE | Oceanography | PLANTS | TERRESTRIAL HYDROSPHERE | TRACE METALS | WATER QUALITY/WATER CHEMISTRY | biota |

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Identifiers
ACN 633 798 857