Dataset: Pseudo-nitzschia amplicon sequence variants (ASVs)
Data Citation:
Jenkins, B. D., Bertin, M. (2021) Amplicon sequence variants (ASVs) recovered from samples and their related identification as Pseudo-nitzschia taxa and the methods used. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-04-05 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.847469.1 [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.
DOI:10.26008/1912/bco-dmo.847469.1
Spatial Extent: N:41.6716 E:-70.8626 S:40.206 W:-71.42
Temporal Extent: 2016-09-26 - 2019-11-25
Principal Investigator:
Bethany D. Jenkins (University of Rhode Island, URI)
Co-Principal Investigator:
Matthew Bertin (University of Rhode Island, URI)
Contact:
Alexa Sterling (University of Rhode Island, URI)
BCO-DMO Data Manager:
Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2021-04-05
Restricted:
No
Release Date:
2021-04-29
Validated:
Yes
Current State:
Final no updates expected
Amplicon sequence variants (ASVs) recovered from samples and their related identification as Pseudo-nitzschia taxa and the methods used
Abstract:
This dataset is related to approximately weekly sampling of Narragansett Bay, RI in tandem with the University of Rhode Island (URI) Graduate School of Oceanography (GSO) Long-Term Plankton Time Series (LTPTS) and Fish Trawl Survey to examine species assemblages and toxicity of the diatom genus Pseudo-nitzschia spp. This dataset includes the amplicon sequence variants (ASVs) recovered from samples and their related identification as Pseudo-nitzschia taxa and the methods used related to the Sterling et al manuscript. These data are connected to NCBI Bioproject PRJNA690940 & GenBank Accession Numbers MW447658 – MW447770, which will be released January 2025 or when the associated manuscript is published, whichever occurs first.