Research Data Leeds Repository

Citation

O'Connell, Adam and Goycoolea, Francisco M. and Gulotta, Alessandro and Holmqvist, Peter and Schuetz, Peter and Mattsson, Johan (2023) Dataset for 'The structure and dynamics of locust bean gum in aqueous solution'. University of Leeds. [Dataset] https://doi.org/10.5518/1266

Dataset description

This dataset contains experimental data from aqueous solutions of locust bean gum, probing the structure and dynamics of these solutions. A full description of the data, methods, and interpretation may be found in the related publication.

Keywords:	Polymer physics, Polysaccharides, Locust bean gum, Galactomannans, Viscosity, Light scattering
Subjects:	F000 - Physical sciences > F300 - Physics > F390 - Physics not elsewhere classified F000 - Physical sciences > F100 - Chemistry > F170 - Physical chemistry D000 - Veterinary sciences, agriculture & related subjects > D600 - Food & beverage studies > D610 - Food science
Divisions:	Faculty of Engineering and Physical Sciences > School of Food Science and Nutrition Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://doi.org/10.1016/j.foodhyd.2022.108446 Publication https://eprints.whiterose.ac.uk/195442/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	31 Jan 2023 17:22
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1068
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 O'Connell, Adam https://orcid.org/0000-0002-1904-9168 University of Leeds https://ror.org/024mrxd33 ror Goycoolea, Francisco M. https://orcid.org/0000-0001-7949-5429 University of Leeds https://ror.org/024mrxd33 ror Gulotta, Alessandro Lund University https://ror.org/012a77v79 ror Holmqvist, Peter https://orcid.org/0000-0003-4657-0538 Lund University https://ror.org/012a77v79 ror Schuetz, Peter Unilever R&D, Colworth, UK https://ror.org/05n8ah907 ror Mattsson, Johan https://orcid.org/0000-0001-7057-2192 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC, EUSMI Grant numbers: EP/L015536/1, EP/J021156/1, EP/K005073/1, EUSMI 731019 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: phykjlm@leeds.ac.uk Last Modified: 07 Jun 2024 13:19

Files

Documentation

Readme [2kB] Readme [2kB] Readme [2kB] Security: Anyone File name: README_Mattsson-etal_2023.txt Content type: Documentation Mime-Type: text/plain File size: 2kB

Data

Paper data [246kB] Paper data [246kB] Paper data [246kB] Security: Anyone File name: DATASET_Mattsson-etal_2023.xlsx Content type: Data Description: Data from all (main and supplementary) figures Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet File size: 246kB