Dataset: CO2, temperature, and oxygen effects on Atlantic silverside metabolic rates

Final no updates expectedDOI: 10.26008/1912/bco-dmo.827774.1Version 1 (2020-11-10)Dataset Type:experimental

Principal Investigator: Hannes Baumann (University of Connecticut)

Co-Principal Investigator: Emma L. Cross (University of Connecticut)

Co-Principal Investigator: Adelle I. Molina (Stony Brook University)

Co-Principal Investigator: Christopher S. Murray (University of Connecticut)

Co-Principal Investigator: Janet Nye (Stony Brook University)

Co-Principal Investigator, Contact: Teresa Schwemmer (Stony Brook University)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)


Project: Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish (HYPOA)


Abstract

Metabolic rates of Atlantic silverside (Menidia menidia) embryos and larvae reared in six separate experiments in 2016 and 2017. Four experiments used factorial combinations of CO2 and temperature, and two experiments used combinations of CO2 and oxygen.

This dataset includes metabolic rates of Atlantic silverside (Menidia menidia) embryos and larvae reared in six separate experiments in 2016 and 2017. Four experiments used factorial combinations of CO₂ and temperature, and two experiments used combinations of CO₂ and oxygen.


Related Datasets

No Related Datasets

Related Publications

Results

Schwemmer, T. G., Baumann, H., Murray, C. S., Molina, A. I., & Nye, J. A. (2020). Acidification and hypoxia interactively affect metabolism in embryos, but not larvae, of the coastal forage fish Menidia menidia. The Journal of Experimental Biology, jeb.228015. doi:10.1242/jeb.228015
Methods

Cross, E. L., Murray, C. S., & Baumann, H. (2019). Diel and tidal pCO2 × O2 fluctuations provide physiological refuge to early life stages of a coastal forage fish. Scientific Reports, 9(1). doi:10.1038/s41598-019-53930-8
Methods

Murray, C., & Baumann, H. (2018). You Better Repeat It: Complex CO2 × Temperature Effects in Atlantic Silverside Offspring Revealed by Serial Experimentation. Diversity, 10(3), 69. doi:10.3390/d10030069
Software

R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/