Supporting Information for Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection

This dataset is the supporting information for the article "Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection", including a Word file (Supporting Information.docx) and a demonstration video (Video S1.mp4). In the Word file, We have provided additional explanations to the following content of the article:1. Preparation methods for sensitive materials are shown in the Note. S1.2. The process of Temperature-programmed Programmed Desorption/Temperature-programmed Reduction and Temperature Programmed Surface Reaction experiments are shown in Fig. S1, Fig. S2 and Fig. S3.3. Through the ion detection scanning of the mass spectrometer, the Analysis results of oxidation products of toluene by W-doped NiO are shown in Fig. S4 and Table S1.4. The source data of the sensor gas sensitivity test are shown in Fig. S4-S8.5. Comparison of the sensitivity of sensor units to various gases are shown in TABLE SⅡ-SⅤ.Finally, the demonstration video of the indoor air quality monitoring system is shown in Video S1.

本数据集为文章《基于合理材料选择实现高精度气体分类与浓度预测的室内空气质量监测系统》的辅助信息，包含Word文档（Supporting Information.docx）及演示视频（Video S1.mp4）。在Word文档中，我们对以下内容进行了补充说明：1. 敏感材料的制备方法详见图注S1.2. 温度程序化脱附/还原及温度程序化表面反应实验过程分别展示于图S1、图S2和图S3。3. 通过质谱的离子检测扫描，展示了W掺杂NiO对甲苯氧化产物的分析结果，如图S4及表S1所示。4. 传感器气体灵敏度测试的原始数据见图S4-S8。5. 比较传感器单元对各种气体的灵敏度，详见表SⅡ-SⅤ。最后，室内空气质量监测系统的演示视频见Video S1。