Electronic nose dataset for detection of wine spoilage thresholds

This dataset is related to the research paper "Wine quality rapid detection using a compact electronic nose system: application focused on spoilage thresholds by acetic acid" published in LWT journal (available online from April 1, 2019, https://doi.org/10.1016/j.lwt.2019.03.074), and the data paper "Electronic nose dataset for detection of wine spoilage thresholds" submitted to Data in Brief journal. For more details read the mentioned articles and cite our work whether found useful. The recorded time series was acquired at the sampling frequency of 18.5Hz during 180 seconds, resulting in 3330 data points per sensor. Each file in the dataset has eight columns: relative humidity (%), temperature (°C), and the resistance readings in kΩ of the six gas sensors: MQ-3, MQ-4, MQ-6, MQ-3, MQ-4, MQ-6. We organized the database in three folders for the wines: AQ_Wines, HQ_Wines, LQ_Wines; and one folder for the ethanol: Ethanol. Each folder contains text files that correspond to different measurements. The filename identify the wine measurement as follows: the first 2 characters of the filename are an identifier of the spoilage wine threshold (AQ: average-quality, HQ: high-quality, LQ: low-quality); characters 4-9 indicate the wine brand; characters 11-13 indicate the bottle, and the last 3 characters indicate the repetition (another sample of the same bottle). For example, file LQ_Wine01-B01_R01 contains the time series recorded when low-quality wine of the brand 01, bottle 01, sample 01 was measured. The filenames into the Ethanol folder identify the measurements at different concentrations: the first 2 characters of the filename are an identifier of Ethanol (Ea); characters 4-5 indicate the concentration in v/v (C1: 1%, C2: 2.5%, C3: 5%, C4: 10%, C5: 15%, C6: 20%); and the last 3 characters indicate the repetition. For example, file Ea-C1_R01 contains time series acquired when Ethanol at 1% v/v of concentration, sample 01 was measured.

本数据集关联发表于LWT期刊（2019年4月1日在线发布，DOI: 10.1016/j.lwt.2019.03.074）的研究论文《基于紧凑型电子鼻（electronic nose）系统的葡萄酒品质快速检测：聚焦乙酸腐败阈值的应用》，以及提交至Data in Brief期刊的数据论文《用于葡萄酒腐败阈值检测的电子鼻数据集》。如需了解更多细节，请参阅上述两篇文献；若本数据集对你的研究有所助益，请引用我们的相关工作。本次记录的时间序列以18.5Hz的采样频率采集，单段时长为180秒，单个传感器可获得3330个数据点。数据集中的每个文本文件包含8列数据，依次为相对湿度（%）、温度（℃），以及6个气体传感器（MQ-3、MQ-4、MQ-6、MQ-3、MQ-4、MQ-6）的电阻读数（单位：千欧，kΩ）。本数据集按样本类别划分为4个文件夹，其中3个为葡萄酒样本文件夹：AQ_Wines、HQ_Wines、LQ_Wines，剩余1个为乙醇样本文件夹：Ethanol。各文件夹下均包含对应不同测量场景的文本文件。葡萄酒样本文件的命名规则如下：文件名前2位字符为葡萄酒品质阈值标识（AQ：普通品质葡萄酒，HQ：优质葡萄酒，LQ：劣质葡萄酒）；第4至9位字符为葡萄酒品牌标识；第11至13位字符为酒瓶编号；最后3位字符为重复采样编号（即同一酒瓶的不同样本）。例如，文件LQ_Wine01-B01_R01对应品牌01、酒瓶01、第01次采样的劣质葡萄酒的时间序列测量数据。乙醇样本文件夹下的文件名规则为：文件名前2位字符为乙醇标识（Ea）；第4至5位字符为乙醇体积分数标识（C1：1%、C2：2.5%、C3：5%、C4：10%、C5：15%、C6：20%）；最后3位字符为重复采样编号。例如，文件Ea-C1_R01对应体积分数1% v/v的乙醇第01次采样的时间序列测量数据。