Raw Experimental Emission Dataset for Nanoparticle-Assisted Gasoline Combustion

This dataset contains raw experimental exhaust emission measurements obtained from a turbocharged gasoline direct injection (GDI) spark-ignition engine operated under steady-state conditions. The dataset was generated to investigate the effects of ultra-low-dose nanoparticle fuel additives on engine-out exhaust emissions during gasoline combustion. All measurements were conducted under controlled laboratory conditions with exhaust aftertreatment systems bypassed in order to isolate engine-out emission behavior. The dataset consists exclusively of raw measured values acquired directly from engine sensors and exhaust gas analysers. Prior to inclusion in the dataset, basic statistical consistency checks were applied to the measured data. Outlier analysis was performed to identify irregular measurements, and statistically consistent values were retained without applying any model-based transformations or derived combustion or emission metrics.