Research Data Leeds Repository

Citation

Davis Birch, William and Moura, Ines and Ewin, Duncan and Wilcox, Mark and Buckley, Anthony and Culmer, Peter R. and Kapur, Nikil (2022) MiGut: a scalable in vitro platform for simulating the human gut microbiome – collated bacterial data. University of Leeds. [Dataset] https://doi.org/10.5518/1166

Dataset description

MiGut is a novel scalable platform whereby multtiple triple-stage in vitro models which simulate the human colon can be run in parallel with minimal additional resource requirement. This dataset contains the data used during a validation study whereby MiGut was run alongside a clinically relevant triple-stage gut model. The data include bacterial quantification of selected groups, as detailed in prior work, and the resulting Bray Curtis dissimilarity matrices, which were used in the associated publication.

Additional information:	This dataset is associated with a paper undergoing peer review and may be subject to change. Any changes will be recorded here and the data DOI will be minted once the dataset and metadata are final. [11/10/2022]
Keywords:	gut model, in vitro, chemostat, scalable, dysbiosis, microbiome, colon
Subjects:	H000 - Engineering > H300 - Mechanical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:	Location Type https://doi.org/10.1101/2022.09.02.506309 Publication https://doi.org/10.1111/1751-7915.14259 Publication https://eprints.whiterose.ac.uk/201423/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	11 Oct 2022 16:17
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1033
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Davis Birch, William https://orcid.org/0000-0002-3352-1721 University of Leeds https://ror.org/024mrxd33 ror Moura, Ines https://orcid.org/0000-0002-3019-7196 University of Leeds https://ror.org/024mrxd33 ror Ewin, Duncan https://orcid.org/0000-0001-6044-5368 University of Leeds https://ror.org/024mrxd33 ror Wilcox, Mark https://orcid.org/0000-0002-4565-2868 University of Leeds https://ror.org/024mrxd33 ror Buckley, Anthony https://orcid.org/0000-0002-2790-0717 University of Leeds https://ror.org/024mrxd33 ror Culmer, Peter R. https://orcid.org/0000-0003-2867-0420 University of Leeds https://ror.org/024mrxd33 ror Kapur, Nikil https://orcid.org/0000-0003-1041-8390 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: NIHR Grant numbers: 200633 Publication date: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: n.kapur@leeds.ac.uk Last Modified: 02 Sep 2024 13:45

Files

Documentation

README [1kB] README [1kB] README [1kB] Security: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain File size: 1kB

Data

Bray Curtis dissimilarity data [137kB] Bray Curtis dissimilarity data [137kB] Bray Curtis dissimilarity data [137kB] Security: Anyone File name: bray_curtis_dissimilarity_data.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 137kB

NMDS input data [59kB] NMDS input data [59kB] NMDS input data [59kB] Security: Anyone File name: NMDS_input_data.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 59kB