Filaments are very common physical phenomena on the Sun and are often taken as important proxies of solar magnetic activities. The study of filaments has become a hot topic in the space weather research. For a more comprehensive understanding of filaments, especially for an understanding of solar activities of multiple solar cycles, it is necessary to perform a combined multifeature analysis by constructing a data set of multiple solar cycle data. To achieve this goal, we constructed a centennial data set that covers the H α data from five observatories around the world. During the data set construction, we encountered varieties of problems, such as data fusion, accurate determination of the solar edge, classifying data by quality, dynamic threshold, and so on, which arose mainly due to multiple sources and a large time span of data. But fortunately, these problems were well solved. The data set includes seven types of data products and eight types of feature parameters wi...

中文翻译：

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一个100年间隔的太阳丝的新的综合数据集。一世。

细丝是太阳上非常普遍的物理现象，通常被视为太阳磁活动的重要代表。细丝的研究已经成为太空天气研究中的热门话题。为了更全面地了解灯丝，尤其是了解多个太阳周期的太阳活动，有必要通过构建多个太阳周期数据的数据集来执行组合的多特征分析。为了实现这一目标，我们构建了百年数据集，该数据集涵盖了来自全球五个观测站的Hα数据。在数据集构建过程中，我们遇到了各种各样的问题，例如数据融合，太阳边缘的准确确定，按质量对数据进行分类，动态阈值等，这主要是由于数据来源多和时间跨度大。但是幸运的是，这些问题都得到了很好的解决。数据集包括七种类型的数据产品和八种类型的特征参数，其中...