Crowdsourced dataset of firefly trajectories obtained by automated stereo calibration of 360-degree cameras

Advancements in animal tracking techniques, spanning from migrating mammals to swarming insects, have resulted in remarkable progress in the fields of behavioral ecology and conservation science. Recently, we have devised a method for tracking luminous fireflies in their natural habitat using stereoscopic pairs of 360-degree cameras. This method offers affordability, versatility, and ease of setup; however, the process of camera calibration has remained tedious and time-consuming. Now, we have introduced an enhanced algorithm that achieves spatial and temporal stereo calibration directly from the data, eliminating the need for manual procedures both in the field and during video processing. The algorithm relies on cross-correlation of flashing patterns and numerical estimation of camera pose. Utilizing this improved protocol and processing software, we have compiled an extensive dataset comprising over 100 reconstructed firefly swarms of various species. This data was gathered throughou..., This dataset was obtained by an algorithm for tracking swarming fireflies using pairs of 360-degree cameras. The algorithm performs camera calibration from the data itself so that virtually no user input is necessary besides measuring the distance between cameras. A full description of the algorithm will be submitted to a scientific journal, and sequentially to the bioRxiv. Thanks to this simplified protocol (included here as a supplementary file) and improved software (included here as a code package), we assembled a large dataset comprising over 100 fully 3D reconstructed and time-resolved firefly swarms. This dataset was collected by various contributors across the United States and spans several states and species. , Table 1 provides a summary of the full dataset. Each swarm has been attributed a specific identification (ID) number for convenient referencing. ID numbers are constructed as such: they start with the letter ’s’ (short for “swarm”) to avoid compatibility issues with file names starting with a number; four digits follow indicating the date of recording in YMDD format (first digit is year: 0 for 2020, 1 for 2021, 2 for 2022; second digit is month of the year; two last digits indicate day of the corresponding month); a two-letter code to indicate the (predominant) species recorded. 
Tables 1 and 2 provide primary information regarding each dataset, in particular the date, time and location of collection, along with the scaling parameter necessary to convert video units to meters. GPS coordinates of recording sites are provided whenever they seemed appropriate to share publicly, based on considerations of private property, site sensitivity, etc. Tables 3 and 4 provide secondary contextual i...