Food Freshness Electronic Nose Dataset

This dataset, “Food Freshness Electronic Nose Dataset”, contains measurements collected using an electronic nose equipped with MQ sensors (MQ2, MQ3, MQ4, MQ5, MQ6, MQ7, MQ8, MQ9, MQ135). Data were recorded at room temperature (mean ≈ 23°C) over 3-minute sampling intervals. Each sample was taken at 24-hour intervals, capturing variations in food freshness over time. The dataset includes multiple sample combinations and is suitable for research in food quality monitoring, source separation, sensor analysis, and related machine learning applications. Key features: Multi-sensor electronic nose measurements Controlled room-temperature recordings Time-series data with 24-hour sampling intervals Designed for research in food freshness detection, sensor analysis, and source separation本数据集命名为“食品新鲜度电子鼻数据集（Food Freshness Electronic Nose Dataset）”，包含使用搭载MQ系列传感器（MQ2、MQ3、MQ4、MQ5、MQ6、MQ7、MQ8、MQ9、MQ135）的电子鼻采集得到的测量数据。 数据采集于室温环境（平均温度约23℃），每组样本的单次采集时长为3分钟，且每24小时采集一组样本，以捕捉食品新鲜度随时间推移的变化特征。 本数据集包含多种样本组合方案，可应用于食品质量监测、信号源分离、传感器分析及相关机器学习领域的研究工作。 核心特性： - 多传感器电子鼻测量数据 - 受控室温环境下的采集记录 - 以24小时为采样间隔的时序数据 - 专为食品新鲜度检测、传感器分析及信号源分离领域的研究设计