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National
Sleep Research
Resource

Advancing science globally
through data sharing

Latest announcements

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

Automatic sleep staging for the young and the old – Evaluating age bias in deep learning

Overview AI for automated sleep staging is considered mature and has found its way to commercial sleep evaluation systems. Systems underpinned by deep learning require large datasets providing a broad sample of sleep stages the machine seeks to ‘learn’. Of concern, most databases used for developing AI sleep stagers include only recordings from adults, creating a significant inherent sample bias when applied to when applied in the pediatric or geriatric sleep setting. Keep reading

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By szhivotovsky on May 16, 2023 May 16, 2023 in Guest Blogger

Casting (Moon)light on NSRR data

Want to be an early adopter of two new web-based tools (Moonlight & Moonbeam) for sleep signals, specifically designed to view NSRR data? If so, 1) read on, 2) head to https://remnrem.net/ to play with them and 3) please do give us any feedback. What is Moonlight? Moonlight is an interactive viewer for polysomnographic data. It is built on top of the command-line Luna package (https://zzz.bwh.harvard.edu/luna/), written using R and the Shiny library. Keep reading

  0
By shaunpurcell on May 9, 2023 May 9, 2023 in Tools

pyActigraphy: Open-source Python Software for Actigraphy and Light Data Analysis

Guest blogger: Grégory Hammad, Ir, PhD GIGA-CRC in vivo imaging, University of Liège, Liège, Belgium, Chair of Neurogenetics, Faculty of Medicine, Technical University of Munich, Munich, Germany Overview PyActigraphy is an open-source Python software for actigraphy and light data analysis. Keep reading

  0
By szhivotovsky on May 1, 2023 May 1, 2023 in Guest Blogger
An NHLBI resource for the sleep research community.

47,841

Individuals Represented

47,841

Individuals Represented

8.14 TB

Stored on the Resource

8.14 TB

Stored on the Resource

1 PB

Shared with Researchers

1 PB

Shared with Researchers