Time series electronic nose responses from tomato plants infested by Thrips palmi

This dataset comprises time-series electronic nose responses of tomato plants (*Solanum lycopersicum*) subjected to various infestation levels of *Thrips palmi*. We examined the temporal dynamics of herbivore-induced volatile responses associated with insect feeding activity under controlled laboratory conditions. The tomato plants were divided into five treatments: control, low infestation, medium infestation, high infestation, and mechanical damage treatment. Sensor responses were taken at various time points, i.e., 1 h, 3 h, 6 h, 12 h, 24 h, 48 h, and 7 d after infestation. The electronic nose system was constructed with a set of metal-oxide semiconductor (MOS) sensors, such as MiCS-6814 (CO, NH₃, NO₂ channels), MQ135, MQ138, MQ3, TGS2600, TGS2602, and TGS822. The dataset includes both raw sensor responses and extracted features. Extracted features include peak response, area under the curve (AUC), rise slope, steady-state response, time to peak, and recovery characteristics. The dataset was created to assist research in non-invasive pest detection, plant defense responses mediated by volatiles, machine learning classification, precision agriculture, and insect-plant interactions.