A holistic air monitoring dataset with complaints and POIs for anomaly detection and interpretability tracing
文献类型：期刊论文
| 作者 | Liu, Xiliang2; Zhi, Xiaoying2; Zhou, Tao2; Zhao, Liyou3; Tian, Li1; Gao, Ruoyun2; Luo, Jiashuo2; Cui, Wenqiong2; Wang, Qi2 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2025-07-24 |
| 卷号 | 12期号:1页码:1288 |
| ISSN号 | 2052-4463 |
| DOI | 10.1038/s41597-025-05591-8 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Urban air pollution poses a global health risk. This study presents the Airware-Haikou dataset, a robust resource for urban air pollution research, integrating multivariate time-series air quality monitoring data (MTSAM), Point of Interest (POI) data, and a public complaint corpus. The MTSAM, collected from 95 monitoring stations in Haikou, China, includes hourly measurements of six air pollutants and five meteorological factors. The data underwent rigorous pre-processing, including spatial-temporal interpolation and rebalancing, to ensure consistency and reliability. Using POI data and monitoring station coordinates, the MTSAM was segmented into four spatial-temporal subsets via cluster analysis, enabling detailed characterization of air quality dynamics. The public complaint corpus, extracted from the UIE model, serves as a baseline for post hoc interpretation of deep learning models, linking public sentiment with empirical air quality data. The Airware-Haikou dataset offers a comprehensive foundation for urban air pollution studies, while its validation model, DsRL-Net, significantly enhances the accuracy and reliability of pollution detection, advancing research in this critical field. |
| URL标识 | 查看原文 |
| WOS关键词 | QUALITY |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215594]  |
| 专题 | 千烟洲站森林生态系统研究中心_外文论文 |
| 通讯作者 | Tian, Li |
| 作者单位 | 1.Univ Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China 2.Beijing Univ Technol, Beijing 100124, Peoples R China; 3.Aerosp Engn Univ, Beijing 101416, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Liu, Xiliang,Zhi, Xiaoying,Zhou, Tao,et al. A holistic air monitoring dataset with complaints and POIs for anomaly detection and interpretability tracing[J]. SCIENTIFIC DATA,2025,12(1):1288. |
| APA | Liu, Xiliang.,Zhi, Xiaoying.,Zhou, Tao.,Zhao, Liyou.,Tian, Li.,...&Wang, Qi.(2025).A holistic air monitoring dataset with complaints and POIs for anomaly detection and interpretability tracing.SCIENTIFIC DATA,12(1),1288. |
| MLA | Liu, Xiliang,et al."A holistic air monitoring dataset with complaints and POIs for anomaly detection and interpretability tracing".SCIENTIFIC DATA 12.1(2025):1288. |
入库方式： OAI收割
来源：地理科学与资源研究所
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