Dataset: Excess density of sinking aggregates of xenic and axenic marine Prochlorococcus and Synechococcus from roller tank experiments conducted in 2016 and 2017

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.774806.1Version 1 (2019-08-14)Dataset Type:experimental

Principal Investigator, Contact: Susanne Neuer (Arizona State University)

Student: Bianca N. Cruz (Arizona State University)

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

Project: Aggregation of Marine Picoplankton (Marine Plankton Aggregation)

Abstract

Excess density of sinking aggregates of xenic and axenic marine Prochlorococcus and Synechococcus from roller tank experiments conducted in 2016 and 2017.

Cite Dataset
Excess density of sinking aggregates of xenic and axenic marine Prochlorococcus and Synechococcus from roller tank experiments conducted in 2016 and 2017.

These data were published in Cruz and Neuer, 2019.

 
Related Datasets:
* Picocyanobacteria Sinking Aggregates: Abundances https://www.bco-dmo.org/dataset/774784
* Picocyanobacteria Sinking Aggregates: Sinking Velocities https://www.bco-dmo.org/dataset/774792
* Picocyanobacteria Sinking Aggregates: Sizes https://www.bco-dmo.org/dataset/774799

Related Datasets

No Related Datasets

Related Publications

Results
Cruz, B. N., & Neuer, S. (2019). Heterotrophic Bacteria Enhance the Aggregation of the Marine Picocyanobacteria Prochlorococcus and Synechococcus. Frontiers in Microbiology, 10. doi:10.3389/fmicb.2019.01864
Methods
Shanks, A. L., & Edmondson, E. W. (1989). Laboratory-made artificial marine snow: a biological model of the real thing. Marine Biology, 101(4), 463–470. doi:10.1007/bf00541648

Neuer, S. (2019) Excess density of sinking aggregates of xenic and axenic marine Prochlorococcus and Synechococcus from roller tank experiments conducted in 2016 and 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-08-14 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.774806.1 [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