The E-nose Dataset of base liquor and commercial liquor in our article: A Machine Learning Method for the Quality Detection of Base Liquor and Commercial Liquor Using Multidimensional Signals from an Electronic Nose

Nine types of Chinese liquor (six types of base liquors and three types of commercial liquors) are tested in our study. The six types of base liquors with different aging durations were denoted as BL (year), where BL represents the base liquor, and (year) represents the aging duration. Thus, the six types of base liquors were BL (13), BL (11), BL (8), BL (6), BL (5), and BL (3). The three commercial liquors (CL) were blended using different proportions of the six base liquors, including CL1, CL2, and CL3. The data is acquired by a commercial E-nose (PEN3, Airsense Analytics GmbH, Germany), with 10 MOS sensors in our laboratory.