Research data supporting "The Interplay between Stack Pressure, Mechanical Expansion and Degradation Pathways in Lithium-ion Batteries"

This dataset supports research on lithium-ion battery materials, focusing on the relationship between structural evolution, chemical composition, and electrochemical performance. It combines multiple characterisation techniques to investigate degradation mechanisms and performance behaviour. The dataset is organised into technique-specific folders. All data are provided in CSV format for accessibility and reproducibility, except where noted. Dataset Description Cracking_Analysis – Quantitative analysis of electrode cracking and mechanical degradation from cross-sectional SEM imaging data. Cycling_Electrochemistry – Long-term cycling data under Low, Optimal, and High pressure conditions, including capacity, voltage drop at the end of each half-cycle, coulombic efficiency, reversible expansion, drift, and cumulative drift. Dilatometry – In situ measurements of electrode thickness changes during cycling, capturing electrochemical–mechanical coupling. DVA – Differential voltage analysis (dV/dQ) used to identify reaction mechanisms and key contributions to capacity fading. MP_AES – Elemental composition data from microwave plasma atomic emission spectroscopy, used to quantify transition metal dissolution and cross-talk. NMR – Raw and processed nuclear magnetic resonance data. Unlike other datasets, NMR data are provided in instrument-specific formats (e.g. fid, acqu, pdata) alongside processed outputs. XCT – X-ray computed tomography data of cycled pouch cells, used to determine whether irreversible thickness expansion originates from the anode, cathode, separator, or their combination. XPS – Surface chemical composition and oxidation state analysis from X-ray photoelectron spectroscopy. sXRD – Synchrotron X-ray diffraction data for crystallographic analysis and phase identification, confirming the lithiation state of graphite in aged discharged cells.