Videos of mice and squirrels handling various seeds and trained DeepLabCut models for tracking the digits

Videos of freely moving and head-fixed mice handling flaxseeds, wheat berries, millet grains, couscous pellets, black-eyed peas, and peanut fragments, as well as wild squirrels handling peanuts, as used in Barrett et. al., "Manual dexterity of mice during food-handling involves the thumb and a set of fast basic movements", in preparation, plus trained DeepLabCut (DLC) models for tracking the digits of the mice during behaviour. The ZIP file "seed handling videos.zip" contains the videos analysed in the paper as H.264-encoded MP4s with a constant rate factor of 20, which has been shown to not significantly affect DLC tracking results (https://www.biorxiv.org/content/10.1101/457242v1). The ZIP file "squirrel seed handling videos.zip" contains the squirrel peanut handling videos in the same format. Each remaining ZIP file contains one or more DLC project folders (minus the videos subfolder), each containing a trained model for tracking the nose and digits 1-4 on both hands during seed handling. SeedHandling-John-2019-07-02.zip is for front view videos, SeedHandling-John-2019-07-04.zip bottom view, and SeedHandling-John-2019-07-05.zip head-fixed side view. "squirrel deeplabcut.zip" contains models for each set of squirrel videos (SeedHandling-John-2019-03-15\ for 20180921*.mp4 and SeedHandling-John-2019-05-20\ for20190424*.mp4). To use on your own data, simply unzip and use the analyze_videos function in DeepLabCut, setting the config file path to the folder you unzipped the model to. For more details on DeepLabCut, see Mathis et. al. (2018), Nat. Neurosci (https://www.nature.com/articles/s41593-018-0209-y) and http://www.mousemotorlab.org/deeplabcut.