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National
Sleep Research
Resource

Harnessing sleep data
for a healthier future

Latest announcements

The NSRR Winter Webinar Series: Sleep Data Analysis Showcase is now available on Youtube!

Stream all 7 talks from researchers a part of the NSRR community here!

We have created a public Zotero publication list for the NSRR. Please feel free to reach out to us if you have a relevant publication using NSRR data that should be added to this list.

This list is also an opportunity to identify collaborations and areas of overlap in analysis of NSRR data.

Download and Share Datasets

Share your research data on the NSRR.

Demographics, anthropometry, questionnaires, outcomes, and more.

Blog

Introducing the NSRR Dataset Discovery

We’re thrilled to introduce the brand-new NSRR Dataset Discovery, (previously known as Cohort Matrix), designed to help NSRR users quickly and easily find the datasets they need. Building on the strengths of its predecessor, the updated NSRR Dataset Discovery offers all the same great features, now with enhanced visuals and improved functionality. Keep reading

  0
By yzhang on August 8, 2025 Aug 8, 2025 in Releases

Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction

Diagnosing sleep disorders such as obstructive sleep apnea (OSA) typically requires full overnight polysomnography, which is time-consuming, resource-intensive, and difficult to scale. This study addresses the need for automated, interpretable tools that can use simpler EEG recordings to classify sleep stages and OSA severity. Keep reading

  0
By szhivotovsky on December 26, 2025 Dec 26, 2025 in Guest Blogger

Falling asleep follows a predictable bifurcation dynamic

Despite spending one-third of our lives asleep, how the brain transitions from wakefulness to sleep remains one of neuroscience's enduring mysteries. Utilising a novel computational framework, we discovered that falling asleep follows a predictable bifurcation dynamic with a distinct tipping point, validated these findings in two independent datasets, and demonstrated real-time prediction of sleep progression. Keep reading

  0
By szhivotovsky on December 26, 2025 Dec 26, 2025 in Guest Blogger
An NHLBI resource for the sleep research community.

53,981

Individuals Represented

53,981

Individuals Represented

11.2 TB

Stored on the Resource

11.2 TB

Stored on the Resource

2 PB

Shared with Researchers

2 PB

Shared with Researchers