1. ABOUT THE DATASET -------------------- Title: Structural and mechanical scaling law behaviour in folded protein hydrogel networks Creator(s): Ahmad Boroumand [1], Matt D.G. Hughes [1], Sophie Cussons [2,3], Najet Mahmoudi [4], David A. Head [5] Sally Peyman [6] Arwen I.I. Tyler [7] Lorna Dougan* [1,2] Organisation(s): [1] School of Physics and Astronomy, Faculty of Engineering and Physical Sciences, University of Leeds, UK [2] Astbury Centre for Structural Molecular Biology, University of Leeds, UK [3] School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, UK [4]ISIS Neutron and Muon Spallation Source, STFC Rutherford Appleton Laboratory, Oxfordshire, UK [5] School of Computer Science, Faculty of Engineering and Physical Science, University of Leeds, UK [6] School of Engineering and Physical Sciences, Institute of Biological Chemistry, Heriot Watt University, UK [7] School of Food Science and Nutrition, Faculty of Environment, University of Leeds, UK Rights-holder(s):Unless otherwise stated, Copyright 2024 University of Leeds Publication Year: 2025 Description: This repository contains excel and text files of the raw rheological data and scattering data presented in the accociated publication below. Cite as: Boroumand et al. (2025) Dataset for 'Structural and mechanical scaling law behaviour in folded protein hydrogel networks.' University of Leeds. [Dataset] https://doi.org/10.5518/1638. Related publication: https://doi.org/10.1016/j.jcis.2025.138149 Contact: L.Dougan@leeds.ac.uk 2. TERMS OF USE --------------- Copyright University of Leeds, 2025. 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 ---------------------------------- Title: Exploiting Engineered Polyproteins in the Modular Design of Robust, Tuneable and Biofunctional Hydrogels Dates: 01 March 2018 - 31 January 2024 Funding organisation: EPSRC Grant no.: EP/ P02288X/1 Title: MESONET: Exploiting in situ protein unfolding to understand and control mesoscopic network formation Dates: Aug 2022 - Aug 2027 Funding organisation: European Research Council Consolidator Grant no.:EP/X023524/1 4. CONTENTS ----------- All data is split between 2 folders named rheology and SANS Data, which contain the raw data from experiments shown in the associated publication. The SANS data folder contains dat SANS files of the reduced SANS data of the 12 volume fractions used in this study. Listing: the 1D q-range, Intensity, Intensity Error and q error. The Rheology data folder contains Excel files for all volume fractions used in this study. Each Excel sheet provides three repeats in seperated columns. Each repeat gives information of storage modulus and loss modulus in time sweep, frequency sweep, and shear strain studies. 5. METHODS ---------- Experimental and analysis methods are outlined in the main manuscript and supplementary infomation.