{{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
      • Guides and documentation
  • Tools
    • Publishing

      • IPT
      • Data validator
      • GeoPick
      • New data model
      • GRSciColl
      • Suggest a dataset
      • Metabarcoding data toolkit
    • Data access and use

      • Hosted portals
      • Scientific collections
      • 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 development
      • Programmes & projects
      • Training and learning resources
      • Data Use Club
      • Living Atlases
  • About
    • Inside GBIF

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

      • News
      • Subscribe
      • Events
      • Awards
      • Science Review
      • Data use
      • Thematic communities
  • User profile

Tyne oil spill snorkels Raw sequence reads

Dataset homepage

Citation

MGnify (2019). Tyne oil spill snorkels Raw sequence reads. Sampling event dataset https://doi.org/10.15468/d4fpap accessed via GBIF.org on 2025-05-16.

Description

Bioelectrochemical bioremediation to accelerate hydrocarbon biodegradation in anoxic marine sediments, using "oil-spill snorkels". The snorkels (rods of conductive material) were positioned to create an electrochemical connection between the anoxic contaminated sediment and the oxic overlying water. In principle, the snorkel could take advantage of the capability of electro-active bacteria to anaerobically oxidize hydrocarbons with the snorkel serving as a respiratory electron acceptor.Fifty 16S rRNA amplicon libraries were generated representing microbial communities from the snorkel, no oil snorkel, control, no oil control and abiotic experiments at 175, 286 and 466 days during the incubation period, as well as from the initial sediments with and without oil (Time 0).

Sampling Description

Sampling

Bioelectrochemical bioremediation to accelerate hydrocarbon biodegradation in anoxic marine sediments, using "oil-spill snorkels". The snorkels (rods of conductive material) were positioned to create an electrochemical connection between the anoxic contaminated sediment and the oxic overlying water. In principle, the snorkel could take advantage of the capability of electro-active bacteria to anaerobically oxidize hydrocarbons with the snorkel serving as a respiratory electron acceptor.Fifty 16S rRNA amplicon libraries were generated representing microbial communities from the snorkel, no oil snorkel, control, no oil control and abiotic experiments at 175, 286 and 466 days during the incubation period, as well as from the initial sediments with and without oil (Time 0).

Method steps

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

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

Contacts

originator
Newcastle University
metadata author
Newcastle University
administrative point of contact
Newcastle University
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
GBIF is a Global Core Biodata Resource