Dataset: High throughput tag-sequencing accessions (18S rRNA gene region) and environmental metadata from Axial Seamount, 2013-2015

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.828345.1Version 1 (2020-11-05)Dataset Type:Cruise Results

Principal Investigator: Sarah K. Hu (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Julie Huber (Woods Hole Oceanographic Institution)

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

Program: Center for Dark Energy Biosphere Investigations (C-DEBI)

Project: Probing subseafloor microbial interactions via hydrothermal vent fluids: A focus on protists (Microbial eukaryotes at hydrothermal vents)

Abstract

High throughput tag-sequencing accessions (18S rRNA gene region) and environmental metadata from Axial Seamount, 2013-2015.

Cite Dataset

See SRA BioProject accession: PRJNA641911 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA641911) and BioSample accession IDs: SAMN15376334-SAMN15376347. Sequences are available via SRA (NCBI).

Related Datasets

No Related Datasets

Related Publications

Methods
Butterfield, D. A., Roe, K. K., Lilley, M. D., Huber, J. A., Baross, J. A., Embley, R. W., & Massoth, G. J. (2004). Mixing, reaction and microbial activity in the sub-seafloor revealed by temporal and spatial variation in diffuse flow vents at axial volcano. Geophysical Monograph Series, 269–289. doi:10.1029/144gm17
Methods
Hu, S. (2017). RNA (and optional DNA) extraction from environmental samples (filters) v2 (protocols.io.hk3b4yn). Protocols.io. doi:10.17504/protocols.io.hk3b4yn

Hu, S. K., Huber, J. (2021) High throughput tag-sequencing accessions (18S rRNA gene region) and environmental metadata from Axial Seamount, 2013-2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-11-05 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.828345.1 [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