A characterization of microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using SSU rRNA gene sequencing from two size fractions, with a universal primer set that amplifies from prokaryotes and eukaryotes

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Date
2023-01-30
Authors
Yeh, Yi-Chun
 Fuhrman, Jed A.
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dataset-885982_ssu-rrna-gene-sequencing-spot__v1.tsv (765.61 KB)
dataset-885982_ssu-rrna-gene-sequencing-spot__v1_README.txt (90 B)
Dataset_description.pdf (65.32 KB)
NOAA_ISO19115-2.xml (63.19 KB)
Alternative Title
Citable URI
https://hdl.handle.net/1912/29629
As Published
http://lod.bco-dmo.org/id/dataset/885982
 https://doi.org/10.26008/1912/bco-dmo.885982.1
Date Created
2022-12-29
Location
San Pedro Channel off the coast of Los Angeles
 westlimit: -118.24; southlimit: 33.33; eastlimit: -118.24; northlimit: 33.33
DOI
10.26008/1912/bco-dmo.885982.1
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Abstract
This study aims to characterize microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using small subunit (SSU) rRNA gene sequencing from two size fractions (0.2-1 and 1-80 μm), with a universal primer set that amplifies both prokaryotic 16S and eukaryotic 18S rRNA genes. This allows for direct comparisons of diversity patterns in a single set of analyses. This dataset includes National Center for Biotechnology Information (NCBI) accession numbers and related sample information. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885982
Description
Dataset: SSU rRNA Gene Sequencing from SPOT
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Citation
Yeh, Y.-C., & Fuhrman, J. A. (2023). A characterization of microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using SSU rRNA gene sequencing from two size fractions, with a universal primer set that amplifies from prokaryotes and eukaryotes (Version 1) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.885982.1
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Biological and Chemical Oceanography Data Management Office Data Sets
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