China Annual Tree Cover Dataset (CATCD) is the first long-term, high spatial resolution annual tree cover dataset for China, generated through the integration of time series of Landsat imagery and ensemble learning techniques based on random forests. The reliability and accuracy of CATCD have been validated using multi-source reference data (correlation: 0.70-0.96, RMSE: 5.6%-25.2%). The current version of CATCD (v 0.0.1) includes 30m resolution annual tree cover datasets for China from 1985 to 2024. Each year's data is stored in a GeoTIFF file with 'TreeCover' and 'Uncertainty' bands. TreeCover data ranges from 0 to 100, representing the percentage of tree cover in each pixel, while Uncertainty represents the uncertainty estimation of tree cover derived through 5-fold cross-validation, expressed as the standard deviation of predictions from five models. In addition to providing annual tree cover information for China, users can extract forest dynamic ranges by setting tree cover thresholds using CATCD. In addition to Zenodo, users can access, download, and reanalyze CATCD on the Google Earth Engine platform via the following link: https://code.earthengine.google.com/a28dcf064bba1975f5a6c28400c41edb. CATCD is expected to be updated annually at the end of each year on both the Zenodo and GEE platform. Please note that while Zenodo contains annual tree cover products, the uncertainty estimates pertaining to tree cover are not available within its repository. However, these estimates have been furnished within the Google Earth Engine (GEE) platform. The dataset has now been updated to include data up to 2024. Data citation: Yaotong Cai, Xiaocong Xu, Sheng Nie, Cheng Wang, Peng Zhu, Yujiu Xiong, and Xiaoping Liu (2024). Unveiling Spatiotemporal Tree Cover Patterns in China: The First 30m Annual Tree Cover Mapping from 1985 to 2023. ISPRS Journal of Photogrammetry and Remote Sensing, 216: 240-258. DOI:10.1016/j.isprsjprs.2024.08.001. For data-related inquiries, please contact Dr. Yaotong Cai (caiyt33@mail2.sysu.edu.cn).