Premature very low birth weight (VLBW) infants have high rates of mortality and morbidity from sepsis, necrotizing enterocolitis, and respiratory failure requiring intubation and mechanical ventilation. Earlier detection of cardiorespiratory deterioration using vital signs from continuous physiological monitoring may lead to more timely interventions and improved outcomes. To further this research area, we present PreMo, a publicly available dataset of continuous heart rate and oxygen saturation, demographics, clinical events, and outcomes for 3,829 VLBW patients from four Neonatal Intensive Care Units (NICUs) in the United States. The PreMo dataset consists of a collection of parquet files, RO-Crate metadata, and sample usage code scripts hosted on the University of Virginia LibraData Dataverse website.

Brynne A. Sullivan has received research support from Medical Prediction Sciences Corporation and Nihon Koden Digital Health Solutions. Doug E. Lake owns stock in Medical Prediction Sciences Corporation. Zachary A. Vesoulis has received research support from Medtronic, Edwards LifeSciences, and ReAlta Life Sciences, and has consulted for Medtronic. N. Ambalavanan is on the Data Safety Monitoring Board for Oak Hill Bio LLC and is a medical advisor for ResBiotic and AlveolusBio. Colm Travers is supported by a grant from the National Heart Lung and Blood Institute (K23 HL157618), and is funded by research grants from Owlet Baby Care Inc. and Prapela Inc. No authors have any other financial or non-financial conflicts of interest.

We acknowledge the following grant for funding the work presented in this manuscript: R01 HD072071 [Co-PIs KD Fairchild & BS Sullivan].

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IRB of Columbia University gave ethical approval for this work in #IRB-AAAP5807 for retrospective analysis with waiver of consent IRB of University of Alabama at Birmingham gave ethical approval for this work in #IRB-300007524 for retrospective analysis with waiver of consent IRB of University of Virginia gave ethical approval for this work in IRB-HSR #21237 for retrospective analysis with waiver of consent IRB of The Washington University in St. Louis gave ethical approval for this work in #201803222 for retrospective analysis with waiver of consent

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