National Sleep Research Resource (SleepData.org)

Join us for the NSRR Spring 2026 Webinar Series! "Demystifying Common Data Elements (#CDEs) to the Sleep Research Community: Concepts, Implementation, and Emerging Approaches"

New blogpost! Using the #SHHS dataset, this study developed a sequential deep learning network for sleep stage classification and #OSA severity prediction. Read the blogpost here: sleepdata.org/blog/2025/12/a…

Dr. Junheng Li joined us to share how he used the #MESA dataset in his new study: "Falling asleep follows a predictable bifurcation dynamic" published in @NaturePortfolio #Neuroscience. Check out the interview below: youtu.be/OEkxMsxjvMI?si…

We sat down with #RASP dataset contributor Dr. Naihua Gong to learn more about the dataset and its exciting opportunities for future research. Check out the interview here: youtu.be/YOlcNxha4m4

New blogpost! Analysis of #EEG data from > 1,000 participants in the #MESA dataset revealed a distinct transition before sleep onset, enabling real-time prediction. Check out the blogpost here: sleepdata.org/blog/2025/12/f…

Register for March 18th 1-2pm EST Title: "Introduction to NIH Common Data Elements (CDEs)" Link👉: mgb-org.zoom.us/webinar/regist…

Register for April 8th 1-2 PM EST Title: "Architecting Interoperable Sleep Science: A Scalable Common Data Element Framework" Link 👉: mgb-org.zoom.us/webinar/regist…

Join us for the NSRR Spring 2026 Webinar Series! "Demystifying Common Data Elements (#CDEs) to the Sleep Research Community: Concepts, Implementation, and Emerging Approaches"

New blogpost! Using the #SHHS dataset, this study develops a sequential deep learning network for sleep stage classification and OSA severity prediction. Read the blogpost here: sleepdata.org/blog/2025/12/a…

Dr. Junheng Li joined us to share how he used the MESA dataset in his new study, "Falling asleep follows a predictable bifurcation dynamic." Check out the interview below: youtu.be/OEkxMsxjvMI?si…

New blogpost! EEG from 1,011 participants in the MESA dataset reveals a distinct transition before sleep onset, enabling real-time prediction. Check out the blogpost here: sleepdata.org/blog/2025/12/f…

We sat down with the #RetrospectiveAnalysisofSleepinPediatric (#RASP) cohort study dataset contributor Dr. Naihua Gong to learn more about the dataset and its exciting opportunities for future research. Check out the interview here: lnkd.in/gAV7scSg

Paper alert! ⏰ Using #MESA data, researchers found that #AppleWatch-measured #REM sleep, explained 62% of the variability in #DepressiveSymptoms. Shorter #REM latency & increased #REM proportion were strongly associated with worse #DepressiveSymptoms. mdpi.com/2075-4418/15/1…

Paper alert! ⏰ Using the #SHHS dataset, researchers found high Cardiometabolic Index (#CMI) was strongly linked to increased all-cause and cardiovascular #mortality in older adults. CMI can be a tool for high-risk screening & improving #PreventiveCare. nature.com/articles/s4159…

Paper alert! ⏰ Using the "Osteoporotic Fractures in Men" dataset, researchers found that Respiratory-Related Leg Movements (#RRLMI) in older men with #SleepApnea were independently linked to an increased risk of all-cause mortality. academic.oup.com/sleep/advance-…

Check out this 2-week training program available through the Developing Scholars in Down Syndrome Research (#DS3), created to increase data sciences expertise in the #DownSyndrome research community. More information can be found on their website: includeds3.org/apply-now

Using 4 #NSRR datasets, researchers developed a deep learning system that can track #sleep and detect #SleepApnea through contactless monitoring at home. This approach could make sleep screening faster, more accessible, and equitable. nature.com/articles/s4146…

New blogpost alert! Dr. Catalina Ramírez-Contreras used the #CHAT dataset available on the #NSRR. Check out her findings here: sleepdata.org/blog/2025/11/c…

A new study using #NSRR data finds that in pediatric #OSA, higher BMI and larger waist/neck circumference were associated with poorer sleep outcomes. Findings underscore the importance of jointly addressing obesity and sleep in child health strategies. onlinelibrary.wiley.com/doi/10.1111/js…

Using #NSRR data, researchers found that children with autism referred for polysomnography show high rates of GI disorders, constipation, diarrhea, and nausea/vomiting predict sleep problems, highlighting gut–brain interactions. journals.lww.com/gastroenterolo…