@misc{13820,
  abstract     = {{The goal of the dataset is to capture the long-term drift behavior of a commercial electronic nose based on 62 metal-oxide gas sensors. We measured three chemical analytes at different concentrations over 12 months: diacetyl (0.1 ppm and 1 ppm), 2-phenylethanol (200 ppm and 1000 ppm), and ethanol, resulting in 700 time series recordings for each sensor across 40 days. Each single measurement includes a three-stage cycle: 1) baseline air for 5 min, 2) sample air exposure for 5 min, and 3) recovery stage for 5 min. The cycle stage information is given in the dataset as well. The dataset includes the readings from all 62 gas sensors (‘R’), from a temperature sensor (‘T01’) and from one humidity sensor (‘H01’).}},
  author       = {{Wörner, Julius and Eimler, Jonas and Pein-Hackelbusch, Miriam}},
  keywords     = {{electronic nose, drift gas, sensors}},
  publisher    = {{Zenodo}},
  title        = {{{Long-Term Drift Behavior of Electronic Nose}}},
  doi          = {{10.5281/ZENODO.15681119}},
  year         = {{2025}},
}