We’re sorry, but GBIF doesn’t work properly without JavaScript enabled.
Our website has detected that you are using an outdated insecure browser that will prevent you from using the site. We suggest you upgrade to a modern browser.
{{nav.loginGreeting}}
  • Get data
      • Occurrences
      • GBIF API
      • Species
      • Datasets
      • Occurrence snapshots
      • Hosted portals
      • Trends
  • How-to
    • Share data

      • Quick-start guide
      • Dataset classes
      • Data hosting
      • Standards
      • Become a publisher
      • Data quality
      • Data papers
    • Use data

      • Featured data use
      • Citation guidelines
      • GBIF citations
      • Citation widget
  • Tools
    • Publishing

      • IPT
      • Data validator
      • Scientific Collections
      • Suggest a dataset
      • New data model ⭐️
    • Data access and use

      • Hosted portals
      • Data processing
      • Derived datasets
      • rgbif
      • pygbif
      • MAXENT
      • Tools catalogue
    • GBIF labs

      • Species matching
      • Name parser
      • Sequence ID
      • Relative observation trends
      • GBIF data blog
  • Community
    • Network

      • Participant network
      • Nodes
      • Publishers
      • Network contacts
      • Community forum
      • alliance for biodiversity knowledge
    • Volunteers

      • Mentors
      • Ambassadors
      • Translators
      • Citizen scientists
    • Activities

      • Capacity enhancement
      • Programmes & projects
      • Training and learning resources
      • Data Use Club
      • Living Atlases
  • About
    • Inside GBIF

      • What is GBIF?
      • Become a member
      • Governance
      • Implementation plan
      • Work Programme
      • Funders
      • Partnerships
      • Release notes
      • Contacts
    • News & outreach

      • News
      • Newsletters and lists
      • Events
      • Ebbe Nielsen Challenge
      • Graduate Researchers Award
      • Science Review
      • Data use
  • User profile

Biogeography of coastal wetland bacterial communities experiencing sudden vegetation dieoff

Dataset homepage

Citation

MGnify (2019). Biogeography of coastal wetland bacterial communities experiencing sudden vegetation dieoff. Sampling event dataset https://doi.org/10.15468/uz9wjf accessed via GBIF.org on 2023-03-30.

Description

This study aims to describe how sediment microbial communities respond to the loss of vegetation through sudden vegetation die off (SVD) in two geographically separated wetlands. Further, samples were collected in the summer and fall to characterize temporal dynamics of the communities.

Sampling Description

Sampling

This study aims to describe how sediment microbial communities respond to the loss of vegetation through sudden vegetation die off (SVD) in two geographically separated wetlands. Further, samples were collected in the summer and fall to characterize temporal dynamics of the communities.

Method steps

  1. Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

Contacts

originator
Connecticut Agricultural Experiment Station
metadata author
Connecticut Agricultural Experiment Station
administrative point of contact
Connecticut Agricultural Experiment Station
What is GBIF? API FAQ Newsletter Privacy Terms and agreements Citation Code of Conduct Acknowledgements
Contact GBIF Secretariat Universitetsparken 15 DK-2100 Copenhagen Ø Denmark