Pressure-Control Mechanical Ventilation Signals from the VentyNet Prototype: Flow, Pressure, and Volume Time-Series Dataset

This dataset contains 72,878 high-resolution time-series samples of airway pressure, airflow, and lung volume obtained from a mechanical ventilator prototype developed within the VentyNet project at Universidad del Valle (Cali, Colombia).Experiments were conducted under Pressure-Control Ventilation (PCV) mode using constant simulated lung compliance across 14 controlled experimental scenarios with varying Peak Inspiratory Pressure (PIP), inspiratory-to-expiratory ratios, and respiratory frequencies.Signals were acquired at 23 Hz sampling frequency and stored in structured .xlsx format. The ventilator incorporates adaptive compliance estimation and closed-loop pressure regulation.The dataset enables respiratory mechanics modeling, compliance estimation, system identification, and development of machine learning algorithms for intelligent mechanical ventilation control.No human patient data are included.