Processed Dataset and Analytics for Hybrid Nanoparticle-Assisted GDI Combustion

This repository contains the processed experimental data and derived engineering analysis results supporting a research study on novel hybrid nanoparticle fuel additives in a Gasoline Direct Injection (GDI) engine. The dataset includes post-processed parameters obtained from raw engine-out emission measurements. It characterizes the impact of a multi-component additive strategy on combustion quality and environmental parameters. Embargo Notice: This dataset is currently under embargo to support a manuscript currently under peer review. The detailed dataset files, including the full data dictionary (README), will become open-access automatically upon the publication of the associated article. Related Data: The raw experimental measurements used to generate this processed dataset are available in a separate repository: DOI: 10.5281/zenodo.17981862