Dataset: Flow cytometry and nutrient analyses data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in July of 2017

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.783679.1Version 1 (2019-12-09)Dataset Type:Other Field Results

Principal Investigator: Amy Apprill (Woods Hole Oceanographic Institution)

Student: Cynthia Carroll Becker (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)

Project: Signature exometabolomes of Caribbean corals and influences on reef picoplankton (Coral Exometabolomes)

Abstract

Data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in 2017. These data include tidal height, depth, temperature, salinity, Prochlorococcus counts, Synechococcus counts, Picoeukaryote abundances, nutrient concentrations at accession numbers for sequences at The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).

Cite Dataset

Data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in 2017.  These data include tidal height, depth, temperature, salinity, Prochlorococcus counts, Synechococcus counts, Picoeukaryote abundances, nutrient concentrations at accession numbers for sequences at The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).

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Related Publications

Methods
Apprill, A., McNally, S., Parsons, R., & Weber, L. (2015). Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton. Aquatic Microbial Ecology, 75(2), 129–137. doi:10.3354/ame01753
Methods
Furby, K. A., Apprill, A., Cervino, J. M., Ossolinski, J. E., & Hughen, K. A. (2014). Incidence of lesions on Fungiidae corals in the eastern Red Sea is related to water temperature and coastal pollution. Marine Environmental Research, 98, 29–38. doi:10.1016/j.marenvres.2014.04.002
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.
Methods
Martin BD, Witten D, Willis AD (2019) Modeling microbial abundances and dysbiosis with beta-binomial regression. arXiv:1902.02776 [stat].
Methods
Parada, A. E., Needham, D. M., & Fuhrman, J. A. (2016). Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environmental Microbiology, 18(5), 1403–1414. doi:10.1111/1462-2920.13023

Apprill, A. (2019) Flow cytometry and nutrient analyses data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in July of 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-12-09 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.783679.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation