Polar Cap Patches Detected with RISR-N

Database of Polar Cap Patches detected with the North face of the Resolute Bay Incoherent Scatter Radar (RISR-N) This dataset was generated by applying two polar cap patch detection algorithm described to the full RISR-N database. The Ren2018 algorithm was first described in Ren et al., 2018 (doi:10.1029/2018JA025621). It includes the time, peak, and prominence of all detected patches, asd well as the average electron and ion temperature and electron density within each patch. The Perry2018 algorithm was first described in Perry & St. Maurice, 2018 (doi:10.1029/2018RS006600). Instead of a list of patches, this algorithm generates a patch index for each time in the database which corresponds to the percentage of the F-region FoV filled with patches. The script that generates this database in available on GitHub: Polar-Cap-Scintillation/polar_cap_patch_detection Version 4 of this dataset includes RISR-N data through 2024 and has an error corrected that may cause some patches to be counted multiple times in the earlier versions.基于雷斯尔湾非相干散射雷达北极面（Resolute Bay Incoherent Scatter Radar North, RISR-N）探测得到的极盖斑块数据库。本数据集通过将两种极盖斑块探测算法应用于完整的RISR-N数据库生成。Ren2018算法最早由Ren等人于2018年提出（DOI:10.1029/2018JA025621），该算法记录了所有探测到的斑块的时间、峰值与显著性，同时包含每个斑块内部的平均电子温度、离子温度以及电子密度。Perry2018算法最早由Perry与St. Maurice于2018年提出（DOI:10.1029/2018RS006600）。与输出斑块列表的Ren2018算法不同，该算法为数据库中的每个时刻生成一个斑块指数，该指数对应F区域视场（Field of View, FoV）中被斑块占据的百分比。本数据集的生成脚本已开源至GitHub仓库：Polar-Cap-Scintillation/polar_cap_patch_detection。本数据集第4版包含截至2024年的RISR-N观测数据，并修正了早期版本中可能导致部分斑块被重复计数的错误。