oxai4science/sdoml-lite

SDOML-lite是一个针对太阳物理领域机器学习应用的轻量级数据集，提供了连续的全磁盘太阳图像，包括磁场和极端紫外线数据，涵盖了多个波长。数据来源于Solar Dynamics Observatory (SDO)空间望远镜，这是一个自2010年以来一直在运行的NASA任务。该数据集为科学研究提供了超过20拍字节的高分辨率太阳图像，是迄今为止收集的科学数据中最全面的记录之一。SDOML-lite通过提供一个经过精选、归一化和时间上一致的数据子集，旨在使这些数据能够无缝地集成到大规模机器学习管道中。

SDOML-lite is a lightweight dataset designed for machine learning applications in solar physics, providing continuous full-disk images of the Sun with magnetic field and extreme ultraviolet data in several wavelengths. The data source is the Solar Dynamics Observatory (SDO) space telescope, a NASA mission that has been in operation since 2010. The dataset offers an extraordinary opportunity for scientific discovery and machine learning, enabling advances in space weather forecasting, climate modeling, solar flare and coronal mass ejection (CME) prediction, image-to-image translation, and unsupervised representation learning of solar dynamics. SDOML-lite bridges the gap by delivering a curated, normalized, and temporally consistent subset of SDO data, specifically designed for seamless integration into large-scale machine learning pipelines.