Dataset: Putative taxonomic information for ARISA bins as generated from clone libraries, 2014 (Bacterial, Archaeal, and Protistan Biodiversity project, Marine Viral Dynamics project)

This dataset has not been validatedFinal no updates expectedVersion 2014-11-05 (2014-11-03)Dataset Type:Unknown

Principal Investigator: Jed A. Fuhrman (University of Southern California)

Contact: Jacob A. Cram (University of Southern California)

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

Program: Dimensions of Biodiversity (Dimensions of Biodiversity)

Project: Pattern and Process in Marine Bacterial, Archaeal, and Protistan Biodiversity, and Effects of Human Impacts (Bacterial, Archaeal, and Protistan Biodiversity)

Project: Marine viral dynamics and incorporation into microbial association networks (Marine Viral Dynamics)

Cite Dataset

This dataset contains putative taxonomic information for the ARISA bins, as generated from clone libraries. The protocol for assigning these IDs is described in Cram et al. (in press).

This file also contains statistics (eg. mean, standard deviation, etc.) of every variable measured.

Related Dataset:
SPOT environmental data
ARISA Relative Abundances
SPOT cruises

Related Datasets

No Related Datasets

Related Publications

No Related Publications

Fuhrman, J. A. (2014) Putative taxonomic information for ARISA bins as generated from clone libraries, 2014 (Bacterial, Archaeal, and Protistan Biodiversity project, Marine Viral Dynamics project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2014-11-05) Version Date 2014-11-03 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/535507 [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