Electronic nose dataset for detection of wine spoilage thresholds

被引:27
作者
Rodriguez Gamboa, Juan C. [1 ]
Eva Susana Albarracin, E. [1 ]
da Silva, Adenilton J. [2 ]
Ferreira, Tiago A. E. [1 ]
机构
[1] Univ Fed Rural Pernambuco UFRPE, Dept Estatist & Informat, Recife, PE, Brazil
[2] Univ Fed Rural Pernambuco UFRPE, Ctr Informat, Recife, PE, Brazil
关键词
Electronic nose; Chemical sensing; Machine learning; Beverage quality control; Wine spoilage;
D O I
10.1016/j.dib.2019.104202
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this data article, 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). The dataset is related to the research article entitled "Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid" by Rodriguez Gamboa et al., 2019. The dataset can be accessed publicly at the repository: https://data.mendeley.com/datasets/vpc887d53s/ (c) 2019 The Authors. Published by Elsevier Inc.
引用
收藏
页数:6
相关论文
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