Dataset for "Thermomechanical and Isothermal Fatigue Behaviour of C263 Nickel-based Superalloy"

This dataset contains experimental data supporting the study of thermomechanical and isothermal fatigue behaviour of the C263 nickel-based superalloy. The data were generated during isothermal fatigue (IF), thermomechanical fatigue in-phase (TMF-IP), and thermomechanical fatigue out-of-phase (TMF-OP) testing.

The dataset includes mechanical fatigue data, cyclic stress–strain relationships, softening and hardening behaviour, fatigue life data, and microstructural characterisation obtained using scanning and transmission electron microscopy (SEM, STEM), electron backscatter diffraction (EBSD), and energy-dispersive X-ray spectroscopy (EDS).

Mechanical data are provided in open tabular formats (TXT, CSV and XLSX) and include strain amplitude, stress amplitude, cycle number, and fatigue life parameters used for Basquin, Manson–Coffin, and cyclic stress–strain analyses. Softening and strengthening curves are provided separately for IF, TMF-IP, and TMF-OP loading conditions.

Microstructural data include high-resolution SEM and STEM micrographs, EBSD orientation maps, inverse pole figure maps, and selected area electron diffraction (SAED) patterns documenting deformation mechanisms, dislocation structures, crack initiation, fracture behaviour, and dynamic recrystallization. All microscopy images are accompanied by detailed README files describing acquisition conditions, instruments, and processing steps.

Each figure-related dataset is stored in a separate folder and documented by a plain-text README file describing the data content, provenance, processing workflow, and abbreviations. The dataset is structured to be understandable and reusable independently of the associated research article.

The data support qualitative and quantitative analysis of cyclic deformation mechanisms, fatigue damage evolution, and microstructure–property relationships in nickel-based superalloys under complex thermomechanical loading conditions.