  Animal behavior spans many timescales, from short, seconds-scale actions to
circadian rhythms over many hours to life-long changes during aging. Most
quantitative behavior studies have focused on short-timescale behaviors such as
locomotion and grooming. Analysis of these data suggests there exists a
hierarchy of timescales; however, the limited duration of these experiments
prevents the investigation of the full temporal structure. To access longer
timescales of behavior, we continuously recorded individual $\textit{Drosophila
melanogaster}$ at 100 frames per second for up to 7 days at a time in
featureless arenas on sucrose-agarose media. We use the deep learning framework
SLEAP to produce a full-body postural data set for 47 individuals resulting in
nearly 2 billion pose instances. We identify stereotyped behaviors such as
grooming, proboscis extension, and locomotion and use the resulting ethograms
to explore how the flies' behavior varies across time of day and days in the
experiment. We find distinct circadian patterns in all of our stereotyped
behavior and also see changes in behavior over the course of the experiment as
the flies weaken and die.
