: Meteor Shower Detection with Density-Based Clustering (2017) demonstrates how to use the DBSCAN algorithm to extract meteor showers from large datasets of trajectories and orbits.
: Meteors and Meteor Showers as Observed by Optical Techniques (2019) reviews how visual, photographic, and video data are used to validate meteor stream models. Supplementary Data Resources meteorshowerdata.rar
While there is no single research paper titled specifically after the "meteorshowerdata.rar" file, this dataset is widely recognized as a key resource for tutorials, most notably used in Microsoft Learn and NASA-inspired data science projects. The file typically contains CSV data for meteor showers, moon phases, constellations, and cities, designed to teach data cleansing and analysis. meteorshowerdata.rar