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-00896.

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Access on request: This version does not include rarefaction curves and values of alpha-diversity, richness and evenness per sample. These have been added in Version 2 of this dataset, under the “OTU_table” tab of the spreadsheet.

Raw Fastq data files for bacterial and archaeal community analysis (EMBL-EBI database)

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).

Funders

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

Fellow for Industrial Research Enhancement (FIRE)
665992

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

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

Publication details

Publication date: 18 November 2020
by: University of Bath

Version: 1

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There is a more recent version of this item available.
  • Version 1. (18 November 2020) [Currently Displayed]
  • Version 2. (27 November 2020)

DOI: https://doi.org/10.15125/BATH-00896

URL for this record: https://researchdata.bath.ac.uk/id/eprint/896

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), 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 and Circular Technologies (CSCT)