---
_id: '13246'
abstract:
- lang: eng
  text: Although electronic nose technology has been studied for years, drift effects
    remain one of the major challenges. While ongoing research focuses on effective
    correction methods, the evaluation of these methods requires reliable and well-documented
    datasets. However, only a few drift datasets are available, some of which lack
    sufficient experimental detail or are outdated. This motivated us to introduce
    a new long-term drift dataset. It has been collected over 12 months using a commercial
    electronic nose, which is based on 62-metal oxide sensors. The measurements were
    conducted under controlled experimental conditions with three analytes (diacetyl,
    2-phenylethanol, and ethanol) in different concentrations. The dataset consists
    of 700 time-series recordings, for which we provide both the raw data and a set
    of pre-extracted features. The data can support the development, evaluation, and
    comparison of methods for feature extraction and selection, as well as drift detection
    and compensation. By providing a comprehensive, well-documented dataset, we aim
    to advance research on sensor drift in electronic nose systems.
article_number: '1628'
author:
- first_name: Julius
  full_name: Wörner, Julius
  id: '79011'
  last_name: Wörner
- first_name: Jonas
  full_name: Eimler, Jonas
  id: '87971'
  last_name: Eimler
- first_name: Miriam
  full_name: Pein-Hackelbusch, Miriam
  id: '64952'
  last_name: Pein-Hackelbusch
  orcid: 0000-0002-7920-0595
citation:
  ama: 'Wörner J, Eimler J, Pein-Hackelbusch M. Long-term drift behavior in metal
    oxide gas sensor arrays: a one-year dataset from an electronic nose. <i>Scientific
    Data</i>. 2025;12. doi:<a href="https://doi.org/10.1038/s41597-025-05993-8">10.1038/s41597-025-05993-8</a>'
  apa: 'Wörner, J., Eimler, J., &#38; Pein-Hackelbusch, M. (2025). Long-term drift
    behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic
    nose. <i>Scientific Data</i>, <i>12</i>, Article 1628. <a href="https://doi.org/10.1038/s41597-025-05993-8">https://doi.org/10.1038/s41597-025-05993-8</a>'
  bjps: '<b>Wörner J, Eimler J and Pein-Hackelbusch M</b> (2025) Long-Term Drift Behavior
    in Metal Oxide Gas Sensor Arrays: A One-Year Dataset from an Electronic Nose.
    <i>Scientific Data</i> <b>12</b>.'
  chicago: 'Wörner, Julius, Jonas Eimler, and Miriam Pein-Hackelbusch. “Long-Term
    Drift Behavior in Metal Oxide Gas Sensor Arrays: A One-Year Dataset from an Electronic
    Nose.” <i>Scientific Data</i> 12 (2025). <a href="https://doi.org/10.1038/s41597-025-05993-8">https://doi.org/10.1038/s41597-025-05993-8</a>.'
  chicago-de: 'Wörner, Julius, Jonas Eimler und Miriam Pein-Hackelbusch. 2025. Long-term
    drift behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic
    nose. <i>Scientific Data</i> 12. doi:<a href="https://doi.org/10.1038/s41597-025-05993-8">10.1038/s41597-025-05993-8</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Wörner, Julius</span> ; <span
    style="font-variant:small-caps;">Eimler, Jonas</span> ; <span style="font-variant:small-caps;">Pein-Hackelbusch,
    Miriam</span>: Long-term drift behavior in metal oxide gas sensor arrays: a one-year
    dataset from an electronic nose. In: <i>Scientific Data</i> Bd. 12. London, Nature
    Research (2025)'
  havard: 'J. Wörner, J. Eimler, M. Pein-Hackelbusch, Long-term drift behavior in
    metal oxide gas sensor arrays: a one-year dataset from an electronic nose, Scientific
    Data. 12 (2025).'
  ieee: 'J. Wörner, J. Eimler, and M. Pein-Hackelbusch, “Long-term drift behavior
    in metal oxide gas sensor arrays: a one-year dataset from an electronic nose,”
    <i>Scientific Data</i>, vol. 12, Art. no. 1628, 2025, doi: <a href="https://doi.org/10.1038/s41597-025-05993-8">10.1038/s41597-025-05993-8</a>.'
  mla: 'Wörner, Julius, et al. “Long-Term Drift Behavior in Metal Oxide Gas Sensor
    Arrays: A One-Year Dataset from an Electronic Nose.” <i>Scientific Data</i>, vol.
    12, 1628, 2025, <a href="https://doi.org/10.1038/s41597-025-05993-8">https://doi.org/10.1038/s41597-025-05993-8</a>.'
  short: J. Wörner, J. Eimler, M. Pein-Hackelbusch, Scientific Data 12 (2025).
  ufg: '<b>Wörner, Julius/Eimler, Jonas/Pein-Hackelbusch, Miriam</b>: Long-term drift
    behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic
    nose, in: <i>Scientific Data</i> 12 (2025).'
  van: 'Wörner J, Eimler J, Pein-Hackelbusch M. Long-term drift behavior in metal
    oxide gas sensor arrays: a one-year dataset from an electronic nose. Scientific
    Data. 2025;12.'
date_created: 2025-10-10T06:03:22Z
date_updated: 2025-10-14T08:00:07Z
department:
- _id: DEP4028
doi: 10.1038/s41597-025-05993-8
intvolume: '        12'
language:
- iso: eng
place: London
publication: Scientific Data
publication_identifier:
  eissn:
  - 2052-4463
publication_status: published
publisher: Nature Research
status: public
title: 'Long-term drift behavior in metal oxide gas sensor arrays: a one-year dataset
  from an electronic nose'
type: scientific_journal_article
user_id: '83781'
volume: 12
year: '2025'
...