OhioT1DM Dataset

Source

Action-Time-Series Notes

  • Dataset type: type-1 diabetes longitudinal physiology.
  • Temporal structure: continuous glucose monitoring and patient-event records over multiple weeks.
  • Actions or interventions: basal insulin, bolus insulin, meals/carbohydrates, exercise, sleep, stress, and related self-management events.
  • Suitability: strong small-scale physiology-control dataset; limited participants but clean action semantics.