Research Data Leeds Repository

Citation

O'Connell, Adam and González-Espinosa, Yadira and Goycoolea, Francisco M. and Schuetz, Peter and Mattsson, Johan (2023) Dataset for 'Characterisation of locust bean gum with asymmetric flow field-flow fractionation (AF4) and light scattering'. University of Leeds. [Dataset] https://doi.org/10.5518/1353

Dataset description

This dataset contains experimental data obtained primarily from AF4-MALS measurements on locust bean gum solutions, with some associated SLS and DLS data. A full description of the data, methods, and interpretation may be found in the related publication.

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.carbpol.2023.121286 Publication https://eprints.whiterose.ac.uk/203949/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	10 Oct 2023 13:36
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1167
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 González-Espinosa, Yadira https://orcid.org/0000-0002-5096-951X 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 Schuetz, Peter Unilever R&D, Colworth 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 Grant numbers: EP/L015536/1, EP/J021156/1, EP/K005073/1 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: k.j.l.mattsson@leeds.ac.uk Last Modified: 20 May 2024 09:43

Files

Documentation

readme [2kB] readme [2kB] readme [2kB] Security: Anyone File name: readme-Mattsson-etal_AF4_2023.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Data

Paper data [843kB] Paper data [843kB] Paper data [843kB] Security: Anyone File name: DATASET_Mattsson-etal_AF4_2023.xlsx Content type: Data Description: Data from all (main and supplementary) figures Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 843kB