1. ABOUT THE DATASET -------------------- Title: IHAT Surface Modelling Creator(s): Chappell, Helen [1] Brooks, Rebecca [1] Morris, Rhiannon [1] Smith, James [1] Pereira, Dora [2] Powell, Jonathan [2] Organisation(s): 1. University of Leeds 2. University of Cambridge Rights-holder(s): Copyright 2023 University of Leeds Publication Year: 2023 Description: These data are the .cif files for the fully optimized structures of adipate and tartrate adsorptions on ferrihydrite surfaces. The ‘wet’ surfaces have an explicit layer of water, and the ‘dry’ surfaces are without water. Prot, SemiProt and Unprot denote the protonation state of the ligand (i.e. fully protonated, semi-protonated or completely deprotonated). Cite as: Chappell, Helen, Brooks, Rebecca, Morris, Rhiannon, Smith, James, Pereira, Dora, Powell, Jonathan (2023): IHAT Surface Modelling. University of Leeds. [Dataset] https://doi.org/10.5518/1296 Contact: Helen Chappell, prchfc@leeds.ac.uk 2. TERMS OF USE --------------- 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 ---------------------------------- Funding organisation: Nutrition Society Grant no.: Summer Studentship 2019, Rebecca Brooks 4. CONTENTS ----------- Archive_Data.zip - IHAT modelling cif files, including wet and dry surfaces.