BCO-DMO Logo
Access Data
ACCESS DATA
  • Dataset Search
  • Browse Catalog
    DatasetsDeploymentsProjectsProgramsInstrumentsPeopleParametersAwardsPlatformsRelated PublicationsAffiliationsFunding
  • Data Access Help
Contribute
SUBMIT DATA
  • Register Your Project
  • Submit Data
  • Contribute HelpData Submission Guidelines
Resources
RESOURCES
  • Data Management Plan
  • PrepareGeneral and topic specific data guidance
  • Education & Training
  • FAQs
  • Documentation
About Us
ABOUT US
  • Blog
  • About BCO-DMO
  • Meet the Team
  • Policies
Loading...Still loading...Hang on... This is taking longer than expected!

Related Publication

arXiv: 1902.02776

Citation Style: APA

Citation Text:

Martin BD, Witten D, Willis AD (2019) Modeling microbial abundances and dysbiosis with beta-binomial regression. arXiv:1902.02776 [stat].


  • Datasets (5)
DatasetRelation
Flow cytometry and nutrient analyses data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in July of 2017Methods
Application of a rapid microbiome characterization pipeline to corals afflicted with Stony Coral Tissue Loss Disease in St. Thomas, US Virgin Islands. Methods
Incubation experiments were conducted in St. John, US Virgin Islands to investigate the response of reef seawater microbial communities to the mixed exudates released from the coral species Porites astreoides and Gorgonia ventalina.Methods
Incubation experiments were conducted in St. John, US Virgin Islands to investigate the macronutrient drawdown response of reef seawater microbial communities to exudates released from the coral species Porites astreoides and Gorgonia ventalina.Methods
Incubation experiments were conducted in St. John, US Virgin Islands to investigate the response of reef seawater microbial communities to the specific metabolites riboflavin, pantothenic acid, and caffeine.Methods

Access Data

  • Dataset Search
  • Browse all Data
  • Access Data Help
  • BCO-DMO API

Submit Data

  • Submit Data
  • Register your Project
  • Prepare
  • Submission Help

About Us

  • About BCO-DMO
  • Meet the Team
  • Policies
  • Products

Resources

  • Education & Training
  • Documentation
  • FAQs
NSF Logo©2020 Biological and Chemical Oceanography Data Management Office.
Funded by the U.S. National Science Foundation