nasa-ibm-ai4science/core-sdo

该数据集提供了来自NASA太阳动力学观测站（SDO）的机器学习就绪的太阳数据，涵盖了从2010年5月13日到2024年12月31日的观测数据。它包括来自大气成像组件（AIA）和日震和磁成像仪（HMI）的Level-1.5处理数据。该数据集旨在促进日球物理学中的大规模学习应用，如空间天气预报、无监督表示学习和科学基础模型开发。数据集结构包括AIA和HMI的各种测量变量，详细说明了时间覆盖范围、数据格式和大小。还列出了用于特定任务的下游数据存储库。

This dataset provides machine learning (ML)-ready solar data curated from NASA’s Solar Dynamics Observatory (SDO), covering observations from May 13, 2010, to Dec 31, 2024. It includes Level-1.5 processed data from the Atmospheric Imaging Assembly (AIA) and the Helioseismic and Magnetic Imager (HMI). The dataset is designed to facilitate large-scale learning applications in heliophysics, such as space weather forecasting, unsupervised representation learning, and scientific foundation model development. The dataset structure includes various data variables like AIA and HMI measurements, with details on temporal coverage, data format, and size. Downstream data repositories for specific tasks are also listed.