Jingwei-DO: A Deep Learning-Based Global Ocean Dissolved Oxygen Mapping Dataset (1965–2025)

Jingwei-DO is a deep learning-based global ocean dissolved oxygen (DO) mapping dataset. The model is trained with quality-controlled dissolved oxygen observations from the World Ocean Database 2023 (WOD23) updated through 2025, and is applied to EN4.2.2 temperature and salinity fields for global inference. The product provides monthly dissolved oxygen fields on a 1° × 1° global grid from the surface to 5,500 m depth over the period 1965–2025. An open visualization and exploration platform is available at https://jingwei.acemap.info/ .