Dataset for "Adjusting organic load as a strategy to direct single-stage food waste fermentation from anaerobic digestion to chain elongation"

This dataset includes the results summary from a lab-scale bioreactor experiment as discussed in the research paper with the same name, published at Processes MDPI (De Groof, V.; Coma, M.; Arnot, T.C.; Leak, D.J.; Lanham, A.B. Adjusting Organic Load as a Strategy to Direct Single-Stage Food Waste Fermentation from Anaerobic Digestion to Chain Elongation. Processes 2020, 8, 1487.).

The study comprised two operational phases of duplicate reactors fed with food waste, each set to target a different product. The data comprises a summary on feedstock composition, microbial community analysis and operational conditions and product outcome per operational phase. The archaeal and bacterial community data includes the final sequences of the operational taxonomic units found and their relative abundance in each sample as determined by 16s rRNA amplicon sequencing. The raw data files have been submitted in the specialized EMBL-EBI database and are available under the accession number PRJEB39281.

Subjects:
Bioengineering
Environmental engineering
Process engineering

Cite this dataset as:
De Groof, V., Coma Bech, M., Leak, D., Arnot, T., Lanham, A., 2020. Dataset for "Adjusting organic load as a strategy to direct single-stage food waste fermentation from anaerobic digestion to chain elongation". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00941.

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Creators

Vicky De Groof
University of Bath

David Leak
University of Bath

Tom Arnot
University of Bath

Ana Lanham
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

Analytical

Technical details and requirements:

This dataset was prepared and processed in Microsoft Excel from raw analytical data. The bioinformatic processing prior to the microbial community summary in the spreadsheet was done as outlined in the publication, and results were processed via the DNASense data analysis app (applies Rstudio IDE v.3.5.1 with the ampvis v.2.5.8. package).

Additional information:

This version includes rarefaction curves and values of alpha-diversity, richness and evenness per sample in the OTU_table tab.

Funders

H2020 Marie Skłodowska-Curie Actions (MSCA)
https://doi.org/10.13039/100010665

Fellow for Industrial Research Enhancement (FIRE)
665992

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

EPSRC Doctoral Training Centre in Sustainable Chemical Technologies
EP/L016354/1

Publication details

Publication date: 27 November 2020
by: University of Bath

Version: 2

This is the latest version of this item.

  • Version 1. (18 November 2020)
  • Version 2. (27 November 2020) [Currently Displayed]

DOI: https://doi.org/10.15125/BATH-00941

URL for this record: https://researchdata.bath.ac.uk/id/eprint/941

Related papers and books

De Groof, V., Coma, M., Arnot, T. C., Leak, D. J. and Lanham, A. B., 2020. Adjusting Organic Load as a Strategy to Direct Single-Stage Food Waste Fermentation from Anaerobic Digestion to Chain Elongation. Processes, 8(11), p.1487. Available from: https://doi.org/10.3390/pr8111487.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Tom Arnot

Departments:

Faculty of Engineering & Design
Chemical Engineering

Research Centres & Institutes
Centre for Sustainable Chemical Technologies