Air Quality Prediction Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://english.mee.gov.cn/; https://climate.copernicus.eu/climate-reanalysis
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资源简介：
该数据集包含了从2015年1月1日至2018年12月31日，中国184个城市级别的观测站收集的地理信息、气象数据和PM2.5浓度数据。此外，数据被划分为训练集、验证集和测试集，以便根据不同时间段的划分来评估模型在高污染季节的性能表现。该数据集的规模覆盖了184个城市级别的观测站，任务旨在进行空气质量预测。
This dataset includes geographic information, meteorological data, and PM2.5 concentration data collected from 184 urban-level monitoring stations across China, spanning from January 1, 2015 to December 31, 2018. Additionally, the data is split into training, validation, and test sets to evaluate model performance during high-pollution seasons based on temporal partitioning. This dataset covers 184 urban-level monitoring stations, with its core task being air quality prediction.
提供机构：
MEE and EAR5
