Small-scale photospheric swirls are widely believed to form as a natural consequence to granular flows, and they may play a key role in transporting energy to the solar upper atmosphere. However, there are significant limitations and biases associated with the manual detection of these small-scale swirls, which may lead to an underestimation of their total number. The Swedish 1-m Solar Telescope (SST) and Solar Optical Telescope (SOT) onboard Hinode spacecraft provide high-resolution and high-quality observations of the solar photosphere, offering abundant data support for the study of small-scale swirls. With the support of a project focused on identifying solar-terrestrial space weather events and modeling physical parameters, a team from the University of Science and Technology of China has developed a new software tool for the automated detection and extraction of key parameters of small-scale swirls in the solar photosphere based on datasets provided by the SST and SOT telescopes. This dataset includes observations from the SOT telescope of a quiet region in the photosphere in 2007, with a pixel scale of 39.2 km and a time interval of approximately 6.4 s, as well as observations from the SST telescope of a quiet region in the photosphere in 2012, with a pixel scale of 43.6 km and a time interval of 8.25 s. This dataset plays an important role in research on the distribution of photospheric swirls in different solar regions and at different phrases of the solar cycle, as well as their formation mechanisms.
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