NASA Solar Dynamics Observatory (SDO) Dataset
收藏arXiv2019-03-12 更新2024-08-06 收录
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http://arxiv.org/abs/1903.04538v1
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资源简介：
本论文介绍了一个从NASA太阳动力学观测站任务中精心准备的数据集，该数据集经过多种仪器校正、降采样处理，以适应机器学习研究的需求。数据集包括空间和时间同步的观测数据，并提供了两个示例应用及其评估指标和基准，以促进日地物理学和物理科学领域的机器学习研究。
This paper presents a carefully curated dataset derived from the NASA Solar Dynamics Observatory mission. This dataset has undergone multi-instrument calibration and downsampling processing to meet the requirements of machine learning research. The dataset includes spatially and temporally synchronized observational data, and provides two example applications along with their evaluation metrics and baselines, to facilitate machine learning research in the fields of heliophysics and physical science.
创建时间：
2019-03-12
