Dataset supporting 'Effects of food matrix on the prebiotic efficacy of inulin-type fructans: a randomised trial'

How to cite this Dataset

Jackson, Peter (2023): Dataset supporting 'Effects of food matrix on the prebiotic efficacy of inulin-type fructans: a randomised trial'. University of Reading. Dataset. https://doi.org/10.17864/1947.000500

Description

This dataset was collected as part of my PhD thesis 'An exploration of the prebiotic concept: from food matrix to mood state'. The aim of this study was to determine the effect of the food matrix on the prebiotic efficacy of inulin-type fructans. This dataset contains the individual level participant bacterial load and composition, gastrointestinal sensation and bowel habit data collected throughout the course of the ten-day intervention, along with all original 16S rRNA sequencing reads.

Resource Type:

Dataset

Creators:

Jackson, Peter

Rights-holders:

Beneo GmbH

Data Publisher:

University of Reading

Publication Year:

2023

Data last accessed:

25 April 2024

DOI:

https://doi.org/10.17864/1947.000500

Metadata Record URL:

https://researchdata.reading.ac.uk/id/eprint/500

Organisational units:

Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences

Participating Organisations:

University of Reading, Beneo GmbH

Keywords:

inulin, food matrix, Bifidobacterium

Rights:

Data Availability:

RESTRICTED

Restrictions:

This dataset is restricted. The dataset may be provided to authorised users subject to a Data Access Agreement between the University of Reading and a recipient organisation. A copy of the Data Access Agreement is included with this item. Access requests will be reviewed by the University of Reading and Beneo GmbH, the owner of the dataset. Authorisation to access the dataset ultimately rests with Beneo GmbH. To request access to the dataset, please complete the form at https://redcap.link/data-request.