NH3H2 Gas mixture dataset for Electronic Nose system

The dataset contains measurements from an electronic nose (E-nose) sensor array designed to detect gas mixtures of Ammonia (NH\u2083, Gas A) and Hydrogen (H\u2082, Gas B).The dataset has over 52,000 samples.Each sample includes 10 sensor features (feature 1 \u2192 feature 10), representing normalized responses of different gas sensors in the array.Alongside the sensor responses, the dataset provides the true concentrations of Gas A (NH\u2083) and Gas B (H\u2082), expressed as continuous values.A Label column is included, encoding categorical classes that represent different gas mixture conditions.This dataset can be applied to classification tasks (identifying which gas or mixture is present) and regression tasks (estimating the concentrations of NH\u2083 and H\u2082). It is suitable for research on machine learning for chemical sensing, gas mixture quantification, and sensor behavior analysis.