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    <responseDate>2026-10-14T19:25:03Z</responseDate>
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    <identifier>10.57760/sciencedb.27290</identifier>
    <datestamp>2026-02-24T16:17:47Z</datestamp>
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  <dc:date>2026-02-24</dc:date>
  <dc:title>Pressure-Control Mechanical Ventilation Signals from the VentyNet Prototype: Flow, Pressure, and Volume Time-Series Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27290</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>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.</dc:description>
  <dc:subject>Time-Series Dataset; Mechanical Ventilation; Pressure-Control Ventilation; Respiratory Mechanics; Lung Compliance; Biomedical Signal Processing; Adaptive Control; Medical Device Engineering</dc:subject>
  <dc:creator>Andres Mauricio Valencia Restrepo</dc:creator>
  <dc:creator>Jose Isidro Garcia Melo</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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