Dataset: Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.700974.1Version 1 (2017-05-25)Dataset Type:Other Field Results

Principal Investigator, Contact: Zackary I. Johnson (Duke University)

Co-Principal Investigator: Dana Hunt (Duke University)

BCO-DMO Data Manager: Hannah Ake (Woods Hole Oceanographic Institution)

Program: Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA) (SEES-OA)

Project: Pivers Island Coastal Observatory (PICO)

Project: Collaborative Research: Ocean Acidification: microbes as sentinels of adaptive responses to multiple stressors: contrasting estuarine and open ocean environments (OA microbe adaptation)

Abstract

Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014

Cite Dataset

Environmental and physical data associated with ocean acidification microbe adaptation.

For related research, go to: http://oceanography.ml.duke.edu/johnson/research/pico/

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Methods
Clayton, T. D., & Byrne, R. H. (1993). Spectrophotometric seawater pH measurements: total hydrogen ion concentration scale calibration of m-cresol purple and at-sea results. Deep Sea Research Part I: Oceanographic Research Papers, 40(10), 2115–2129. doi:10.1016/0967-0637(93)90048-8
Methods
Dickson, A.G., Sabine, C.L. and Christian, J.R. (Eds.) 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3, 191 pp. ISBN: 1-897176-07-4. URL: https://www.nodc.noaa.gov/ocads/oceans/Handbook_2007.html
Methods
Holm-Hansen, O., & Riemann, B. (1978). Chlorophyll a Determination: Improvements in Methodology. Oikos, 30(3), 438. doi:10.2307/3543338
Methods
Johnson, Z. I., Shyam, R., Ritchie, A. E., Mioni, C., Lance, V. P., Murray, J. W., & Zinser, E. R. (2010). The effect of iron- and light-limitation on phytoplankton communities of deep chlorophyll maxima of the western Pacific Ocean. Journal of Marine Research, 68(2), 283–308. doi:10.1357/002224010793721433
Methods
Marie, D., Partensky, F., Jacquet, S., and Vaulot, D. (1997) Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Applied and Environmental Microbiology 63: 186-193.

Johnson, Z., Hunt, D. (2017) Environmental and physical data associated with ocean acidification microbe adaptation from 2012-2014. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-05-25 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.700974.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


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