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Filaments are very common physical phenomena on the Sun and are often takenas important proxies of solar magnetic activities. The study of filaments hasbecome a hot topic in the space weather research. For a more comprehensiveunderstanding of filaments, especially for an understanding of solar activitiesof multiple solar cycles, it is necessary to perform a combined multifeatureanalysis by constructing a data set of multiple solar cycle data. To achievethis goal, we constructed a centennial data set that covers the H$\alpha$ datafrom five observatories around the world. During the data set construction, weencountered varieties of problems, such as data fusion, accurate determinationof 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. Butfortunately, these problems were well solved. The data set includes seven typesof data products and eight types of feature parameters with which we canimplement the functions of data searching and statistical analyses. It has thecharacteristics of better continuity and highly complementary to spaceobservation data, especially in the wavelengths not covered by spaceobservations, and covers many solar cycles (including more than 60 yr ofhigh-cadence data). We expect that this new comprehensive data set as well asthe tools will help researchers to significantly speed up their search forfeatures or events of interest, for either statistical or case study purposes,and possibly help them get a better and more comprehensive understanding ofsolar filament mechanisms.

A New Comprehensive Data Set of Solar Filaments of 100 yr Interval. I