Real-Time Cerebral Oximetry and Resuscitation Outcomes Replication Data

Cerebral oximetry results and images from out-of-hospital resuscitation events comprise this replication dataset by Julia A. King (2026). It provides the underlying data for a manuscript investigating the relationship between real-time oxygenation monitoring and patient outcomes.

Use Cases

• Analyzing the relationship between cerebral oximetry readings and resuscitation outcomes
• Validating manuscript findings using the provided clinical results and images
• Comparing real-time oxygenation trends across different out-of-hospital resuscitation cases

Strengths

• Includes both quantitative results and research images
• Directly supports replication of a peer-reviewed medical manuscript
• Focuses on the specialized domain of out-of-hospital resuscitation

Limitations

• Unknown record count and file formats
• Lack of explicit column definitions in the metadata
• Potential for small sample size typical of specialized clinical studies

Provenance

Source

Harvard Dataverse

Collection Method

clinical sensor monitoring

Freshness

Last updated March 2026