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N
ational
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leep

R
esearch
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esource

Free research data and tools.

Latest announcements

New virtual issue of SLEEP on "Sleep and Big Data", guest edited by Dr. Susan Redline highlights new advances in big data approaches to sleep, and includes a special editorial by Dr. Redline and Dr. Shaun Purcell: https://academic.oup.com/sleep/pages/big-data-vi

Data

Share your research data on the NSRR.

Demographics, anthropometry, questionnaires, outcomes, and more.

Minute-by-minute activity data collected on wearable watches and similar devices.

Raw signals comprised of EEGs, ECGs, oxygen, and position channels.

Blog

ENIGMA-Sleep working group: An international sleep collaboration

What is the ENIGMA-Sleep? The Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) consortium is a global collaboration of over 1400 scientists across 43 countries, studying neuropsychiatric illnesses and provides a powerful collaborative framework around the world. ENIGMA has more than 50 working groups, pooling large-scale coordinated data and expertise to answer fundamental clinical and neuroscientific questions, which offers testing reproducibility and robustness of findings (1). Keep reading

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By michaelprerau on September 20, 2021 Sep 20, 2021 in Guest Blogger

The NSRR Cohort Matrix: An easier way to explore the NSRR datasets

The NSRR is constantly developing new tools to improve its user experience. One of the newly developed applications, as inspired by the Dementias Platform, is the Cohort Matrix. The NSRR cohort matrix consists of three tabs: "Cohort Overview" tab provides summary of the key characteristics (e.g. sample size, age range, license, etc.), sleep data availability (e.g. polysomnography EDF files, actigraphy, etc.) and links back to the dataset introduction page. Keep reading

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By yzhang on August 26, 2021 Aug 26, 2021 in Releases

Arousal Burden is Linked with Long-Term Cardiovascular and All-Cause Mortality

Guest Blogger: Mattias Baumert Overview What is the problem being addressed? Our objective was to quantify the burden of cortical arousals throughout sleep and determine its association with long-term cardiovascular (CV) and overall mortality. What was the approach to solving the problem? We quantified arousal burden (AB) as the cumulative duration of all arousal events relative to total sleep time in three large cohort studies. Keep reading

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By michaelprerau on June 16, 2021 Jun 16, 2021 in Guest Blogger
An NHLBI resource for the sleep research community.

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