1. ABOUT THE DATASET
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Title:
Dataset for 'Characterisation of locust bean gum with asymmetric flow field-flow fractionation (AF4) and light scattering'

Creator(s):
Adam O'Connell [1]
Yadira González-Espinosa [1]
Francisco M. Goycoolea [1]
Peter Schuetz [2]
Johan Mattsson [1]

Organisation(s): 
[1] University of Leeds, Leeds, LS2 9JT, United Kingdom
[2] Unilever R&D, Colworth, MK44 1LQ, United Kingdom

Rights-holder(s): 
Copyright 2023 University of Leeds

Publication Year: 
2023

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.

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

Related publication:
O’Connell, A., González-Espinosa, Y., Goycoolea, F.M., Schuetz, P. and Mattsson, J. (2023). Characterisation of locust bean gum with asymmetric flow field-flow fractionation (AF4) and light scattering. Carbohydrate Polymers, https://doi.org/10.1016/j.carbpol.2023.121286.

Contact:
k.j.l.mattsson@leeds.ac.uk





2. TERMS OF USE
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Copyright [2023] [University of Leeds]. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.





3. PROJECT AND FUNDING INFORMATION
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Title:
Microrheology of microscopically phase-separated hydrogels

Dates:
September 2018-July 2023

Funding organisation:
EPSRC

Grant no.:
EP/L015536/1 (Centre for Doctoral Training in Soft Matter and Functional Interfaces), EP/J021156/1, EP/K005073/1


4. CONTENTS
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File listing

1. DATASET_Mattsson-etal_AF4_2023.xlsx

Description:
An excel file containing all data from the paper (both the main text and supplementary info). Data descriptions can be found in the corresponding paper text.





5. METHODS
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The methods used to generate this dataset are detailed in the related publication.