---
res:
  bibo_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’).@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Julius
      foaf_name: Wörner, Julius
      foaf_surname: Wörner
  - foaf_Person:
      foaf_givenName: Jonas
      foaf_name: Eimler, Jonas
      foaf_surname: Eimler
  - foaf_Person:
      foaf_givenName: Miriam
      foaf_name: Pein-Hackelbusch, Miriam
      foaf_surname: Pein-Hackelbusch
      foaf_workInfoHomepage: http://www.librecat.org/personId=64952
    orcid: 0000-0002-7920-0595
  bibo_doi: 10.5281/ZENODO.15681119
  dct_date: 2025^xs_gYear
  dct_publisher: Zenodo@
  dct_subject:
  - electronic nose
  - drift gas
  - sensors
  dct_title: Long-Term Drift Behavior of Electronic Nose@
...