Long-Term Drift Behavior of Electronic Nose Wörner, Julius Eimler, Jonas Pein-Hackelbusch, Miriam electronic nose drift gas sensors 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’). Zenodo 2025 info:eu-repo/semantics/other doc-type:ResearchData text http://purl.org/coar/resource_type/c_ddb1 https://www.th-owl.de/elsa/record/13820 Wörner J, Eimler J, Pein-Hackelbusch M. <i>Long-Term Drift Behavior of Electronic Nose</i>. Zenodo; 2025. doi:<a href="https://doi.org/10.5281/ZENODO.15681119">10.5281/ZENODO.15681119</a> info:eu-repo/semantics/altIdentifier/doi/10.5281/ZENODO.15681119 info:eu-repo/semantics/closedAccess