Dataset of Numerical assessment on the combined effects of non-thermal plasma and water addition in hydrogen combustion

• This dataset offers a comprehensive numerical insight into the synergistic effects of nanosecond repetitively pulsed discharge (NRPD) plasma and water vapor addition on hydrogen combustion and NOₓ formation.
• The data can help researchers and engineers design and optimize plasma-assisted hydrogen engines and low-emission combustion systems by understanding ignition delay, radical formation, and emission behavior under different plasma–water conditions.
• It supports the development and validation of chemical kinetic models and machine-learning-based combustion optimization frameworks using well-defined simulation parameters and responses.
• The dataset offers a valuable benchmark for comparing experimental or computational studies on plasma-assisted combustion, non-equilibrium plasma chemistry, and water–fuel interactions.
• The structured Design of Experiments (DoE) and Response Surface Methodology (RSM) data can be reused to explore sensitivity analyses, optimize operating ranges, or develop surrogate models for practical hydrogen combustion systems.