Adenilton Silva

Adenilton Silva

PhD. in Computer Science
Adjunct professor
Centro de Informática
UFPE

I am a researcher in quantum computation and quantum machine learning

Electronic nose dataset for detection of wine spoilage thresholds

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We provide a time series dataset obtained for an application of wine quality detection focused on spoilage thresholds. The database contains 235 recorded measurements of wines divided into three groups and labeled as high quality (HQ), average quality (AQ) and low quality (LQ), in addition to 65 ethanol measurements. This dataset was collected using an electronic nose system (E-Nose) based on Metal Oxide Semiconductor (MOS) gas sensors, self-developed at the Universidade Federal Rural de Pernambuco (Brazil).

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Papers that cite this dataset:

  • Borowik, Piotr, et al. “Odor Detection Using an E-Nose With a Reduced Sensor Array.” Sensors 20.12 (2020): 3542.

  • Gamboa, Juan C. Rodriguez, et al. “Wine quality rapid detection using a compact electronic nose system: Application focused on spoilage thresholds by acetic acid.” Lwt 108 (2019): 377-384.

  • Gamboa, Juan C. Rodriguez, et al. “Electronic nose dataset for detection of wine spoilage thresholds.” Data in brief 25 (2019): 104202.

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