1. ABOUT THE DATASET
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Title:	Dataset for 'Unveiling the structure of protein-based hydrogels by overcoming cryo-SEM sample preparation challenges'

Creator(s): Dimitra Katrantzi [1], Stuart Micklethwaite[1], Nicole Hondow[1], Andy Brown[1], Lorna Dougan[2]

Organisation(s): [1] School of Chemical and Process Engineering, University of Leeds, UK
[2] School of Physics and Astronomy, University of Leeds, UK

Rights-holder(s):Copyright 2024 University of Leeds

Publication Year: 2024

Description: Cryo-SEM image analysis data using ImageJ, and rheology Data

Cite as: Dimitra Katrantzi (2024) Dataset for 'Unveiling the structure of protein-based hydrogels by overcoming cryo-SEM sample preparation challenges'. University of Leeds. [Dataset]	https://doi.org/10.1039/D4FD00204K. 

Contact: Dimitra Katrantzi (pmdka@leeds.ac.uk), Lorna Dougan (L.Dougan@leeds.ac.uk)


2. TERMS OF USE
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Copyright [2024] [University of Leeds]. 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: CDT Molecules to Product

Dates: 2022-2026

Funding organisation: Engineering and Physical Sciences Research Council (EPSRC) 

Grant no.:EP/S022479/1

4. CONTENTS
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Data is split between 2 folders containing the rheology data and cryo-SEM analysis data:

cryo-SEM measurements: contains a xlsx file with the data measured by the cryo-SEM image analysis using ImageJ software

rheology measurements: contains a xlsx file with the raw rheology data

5. METHODS
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Experimental and analysis methods are explained in the manuscript: DOI	https://doi.org/10.1039/D4FD00204K

Cryo-SEM image analysis was conducted using ImageJ software