Dataset: Phytoplankton clone library matches collected from the R/V Atlantic Explorer and R/V Oceanus cruises along the Bermuda Atlantic Time Series Station (BATS) from 2008-2010 (Plankton particle flux project)

ValidatedRelease Date:2020-10-12Final no updates expectedDOI: 10.26008/1912/bco-dmo.564859.1Version 1 (2015-08-28)Dataset Type:Cruise Results

Principal Investigator: Susanne Neuer (Arizona State University)

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

Program: Ocean Carbon and Biogeochemistry (OCB)

Project: Composition of the plankton community and its contribution to particle flux in the Sargasso Sea (Plankton particle flux)

Abstract

This dataset includes links to GenBank accession of 18S rRNA gene clone library sequences with the closest sequence matches from the NCBI database. The samples are from the upper water column as well as from shallow drifting traps during regular BATS cruises from December 2008-April 2010.

Cite Dataset

This dataset includes links to GenBank accession of 18S rRNA gene clone library sequences with the closest sequence matches from the NCBI database. The samples are from the upper water column as well as from shallow drifting traps during regular BATS cruises from December 2008-April 2010.

Related Datasets

No Related Datasets

Related Publications

Results
Amacher, J., Neuer, S., & Lomas, M. (2013). DNA-based molecular fingerprinting of eukaryotic protists and cyanobacteria contributing to sinking particle flux at the Bermuda Atlantic time-series study. Deep Sea Research Part II: Topical Studies in Oceanography, 93, 71–83. doi:10.1016/j.dsr2.2013.01.001

Neuer, S. (2020) Phytoplankton clone library matches collected from the R/V Atlantic Explorer and R/V Oceanus cruises along the Bermuda Atlantic Time Series Station (BATS) from 2008-2010 (Plankton particle flux project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2015-08-28 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.564859.1 [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