  The Booster Operation Optimization Sequential Time-series for Regression
(BOOSTR) dataset was created to provide a cycle-by-cycle time series of
readings and settings from instruments and controllable devices of the Booster,
Fermilab's Rapid-Cycling Synchrotron (RCS) operating at 15~Hz. BOOSTR provides
a time series from 55 device readings and settings that pertain most directly
to the high-precision regulation of the Booster's gradient magnet power supply
(GMPS). To our knowledge, this is one of the first well-documented datasets of
accelerator device parameters made publicly available. We are releasing it in
the hopes that it can be used to demonstrate aspects of artificial intelligence
for advanced control systems, such as reinforcement learning and autonomous
anomaly detection.
