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
The NSRR is revamping its Tools pages and needs your help! Have you developed a tool for the analysis of sleep data that you'd like others to know about and use? Do you have some tricks and tips for using existing packages that you'd like to share? What about a write-up listing your favorite tools, explaining how you use them and what's good about them? Or perhaps you'd like to share some data analytic problems that aren't met by existing tools? If so, we'd love for you to submit a gues. Keep reading
Luna is a C/C++ library focused on the analysis of large numbers of sleep studies, such as those available from the NSRR. Luna is completely open-source and not dependent on proprietary software. If you're interested in analyzing sleep signals from the NSRR, you might want to start by looking at Luna. Currently, there is a command-line tool (lunaC) and an extension library for R (lunaR). Keep reading
The NSRR gem v5.0.0 has been released. This new version of the gem support Ruby 2.4.6 or greater, and has added support for Ruby 2.6.3. To update to the latest version of the gem, type: gem install nsrr --no-document Please note that we are also dropping support for v0.3.0 and v0.4.0 of the gem that rely on an older data access API that is being removed. Leave a reply below or email us at support@sleepdata.org if you have any questions or issues using the new release. Keep reading
Spout is an open-source Ruby tool that helps the National Sleep Research Resource team curate, manage, and version-control data dictionaries that describe underlying datasets on the site. These data dictionaries provide metadata about the variables (columns) within a dataset. A well-defined data dictionary is an essential tool for researchers who want to understand and analyze a given dataset. The NSRR team started development on Spout in 2013. Version 1.0.0 was released on February 1, 2019. Keep reading
Do you do statistics programming using R? Do you wish you could download files from the NSRR without going through the process of installing Ruby? Well, John Muschelli and Ciprian Crainiceanu sure think so. John and Ciprian created an open-source "R" implementation of the NSRR downloader that is available for download on CRAN, https://cran.r-project.org/web/packages/nsrr/index.html. Keep reading