Dataset for 'Envelope Inflation and Mass Loss Driven by Energy Deposition in Massive Stars'

The dataset accompanying this study contains all the essential components required to run the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations investigating energy deposition processes in massive stars. It includes a complete inlist file that defines the input physics, control parameters, and computational settings necessary for stellar evolution modeling. Additionally, the dataset provides the rn and mk files, which are required for compiling the MESA source code and ensuring proper execution on the user's system. The dataset also features the inlist file, the run_star_extras file, and the key output files generated during the simulations namely, history.data and profile.data. The history.data file logs the star’s global parameters (e.g., luminosity, surface temperature, stellar radius, total mass, central entropy, and various energy components) as functions of time. In contrast, the profile.data files offer detailed internal structure data at selected time steps, providing spatial resolution for quantities such as density, temperature, composition, and energy generation rates throughout the stellar interior. To support analysis and visualization, the dataset includes Python scripts that extract and plot key stellar parameters from the MESA outputs. These scripts generate time and radius dependent graphs that illustrate the evolution of the star's physical properties, enabling a detailed investigation of phenomena such as envelope inflation and mass loss driven by energy deposition in the stellar interior.