Marine microbial metagenomes sampled across space and time
Name
sdata2018176.pdf
Description
Published version
Size
1.33 MB
Format
Adobe PDF
Checksum (MD5)
9dfb1abef817042654e638103b24790b
Author(s)
Biller, Steven
Berube, Paul M.
Dooley, Keven Douglas
Williams, Madeline Dee
Satinsky, Brandon Meyer
Hackl, Thomas
Hogle, Shane Lahman
Coe, Allison
Bergauer, Kristin
Bouman, Heather A.
Date Issued
September 2018
Journal
Scientific Data
Publisher
Springer Science and Business Media LLC
Citation
Biller, Steven J. et al. "Marine microbial metagenomes sampled across space and time." Scientific Data 5, 1 (September 2018): 180176 © 2018 The Author(s)
Version
Final published version
Abstract
Recent advances in understanding the ecology of marine systems have been greatly facilitated by the growing availability of metagenomic data, which provide information on the identity, diversity and functional potential of the microbial community in a particular place and time. Here we present a dataset comprising over 5 terabases of metagenomic data from 610 samples spanning diverse regions of the Atlantic and Pacific Oceans. One set of metagenomes, collected on GEOTRACES cruises, captures large geographic transects at multiple depths per station. The second set represents two years of time-series data, collected at roughly monthly intervals from 3 depths at two long-term ocean sampling sites, Station ALOHA and BATS. These metagenomes contain genomic information from a diverse range of bacteria, archaea, eukaryotes and viruses. The data’s utility is strengthened by the availability of extensive physical, chemical, and biological measurements associated with each sample. We expect that these metagenomes will facilitate a wide range of comparative studies that seek to illuminate new aspects of marine microbial ecosystems.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/sdata.2018.176
