Dataset: Series 4A: Multiple stressor experiments on the cyanobacteria Synechococcus elongatus CCMP1629 – cell abundance and size by flow cytometry

ValidatedRelease Date:2020-08-31Final no updates expectedDOI: 10.26008/1912/bco-dmo.807327.1Version 1 (2020-04-01)Dataset Type:experimental

Principal Investigator: Uta Passow (University of California-Santa Barbara)

Co-Principal Investigator: Edward Laws (Louisiana State University College of the Coast and Environment)

Scientist, Contact: Nigel D'Souza (University of California-Santa Barbara)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Effects of multiple stressors on Marine Phytoplankton (Stressors on Marine Phytoplankton)


Abstract

The experiments were designed to test the combined effects of two CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the cyanobacteria Synechococcus elongatus CCMP1629 in a multifactorial design. This dataset contains measurements of cell abundances and cell size expressed as forward scatter (FSC) as well as in equivalent spherical diameter (ESD) in um.

The experiments were designed to test the combined effects of two CO2 concentrations, four temperatures, and three light intensities on growth and photophysiology of the cyanobacteria Synechococcus elongatus CCMP1629 in a multifactorial design. This dataset contains measurements of cell abundances and cell size expressed as forward scatter (FSC) as well as in equivalent spherical diameter (ESD) in um.


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