October 13, 2025 (v1)DatasetOpen A Global Sub-Mesoscale Eddy Dataset Using Deep Learning Algorithms and Sentinel-3 Chlorophyll-a Data (NetCDF)

This is an eddy dataset obtained by combining chlorophyll data from Sentinel-3 with a deep learning algorithm. It contains a large amount of information on numerous sub-mesoscale eddies, including the latitude and longitude of their centers and boundaries, as well as their radii and polarities. The eddy radius is measured in meters. Users can directly use Python to process this dataset. The format of the dataset is NetCDF. The radius should be divide by the square root of two. The dataset will be continuously updated on my dashboard (now 2020.01.01-2022.12.31). Access the dataset please contact us : Email [e-mail]本数据集为整合哨兵-3号（Sentinel-3）卫星叶绿素观测数据与深度学习算法所构建的涡旋数据集，涵盖众多亚中尺度涡旋的相关信息，包括涡旋中心与边界的经纬度坐标、半径及极性。涡旋半径单位为米。用户可直接通过Python语言对本数据集进行处理，其格式为网络通用数据格式（NetCDF）。 本数据集将在我的数据面板持续更新，当前覆盖时段为2020.01.01至2022.12.31。 如需获取该数据集，请联系我们：邮箱[e-mail]