https://jzauner.r-universe.devRecent package updates in jzaunerR-universehttps://github.com/jzauner.pnghttps://jzauner.r-universe.devWed, 30 Sep 2026 15:58:56 GMTjohannes.zauner@tum.de (Johannes Zauner)Import, processing, validation, and visualization of personal light exposure measurement data from wearable devices. The package implements features such as the import of data and metadata files, conversion of common file formats, validation of light logging data, verification of crucial metadata, calculation of common parameters, and semi-automated analysis and visualization.https://github.com/r-universe/tscnlab/actions/runs/36767654627Wed, 30 Sep 2026 15:58:56 GMTLightLogR0.10.6successhttps://tscnlab.r-universe.devhttps://github.com/tscnlab/lightlogrjohannes.zauner@tum.de (Johannes Zauner)Discovers Global Light Commons data packages through their registry, opens immutable passing revisions, and provides searchable inventories of package metadata. Selected metadata and measurement files can be downloaded or imported with metadata-defined columns, types, factor levels, date-time values, and time zones. 'Git Large File Storage' objects are resolved without requiring an external 'Git LFS' installation, and imported file groups can be explicitly collected into data suitable for personal light exposure analysis workflows. An included 'shiny' application supports interactive discovery, inspection, selection, preview, and reproducible handoff to 'R'.https://github.com/r-universe/tscnlab/actions/runs/36355851450Sun, 27 Sep 2026 20:50:09 GMTglcdp1.1.0successhttps://tscnlab.r-universe.devhttps://github.com/tscnlab/glc-dp-rdiscover-and-inspect.Rmddiscover-and-inspect.htmlDiscover and inspect data packages2026-07-17 09:51:422026-07-28 14:47:53glc-data-explorer.Rmdglc-data-explorer.htmlExplore and hand off data with the Shiny app2026-07-20 13:11:222026-07-28 14:47:53glcdp.Rmdglcdp.htmlGet started with glcdp2026-07-17 09:51:422026-09-27 20:32:02import-and-download.Rmdimport-and-download.htmlImport and download data2026-07-17 09:51:422026-07-28 14:47:53johannes.zauner@tum.de (Johannes Zauner)In the MeLiDos field study, personal light exposure data were collected in 9 sites, 7 countries, and 191 participants following the Guidolin et al. (2024) <doi:10.1186/s12889-024-20206-4> protocol. Data originate from wearable devices collecting personal light exposure at the eye level, chest, and the wrist. Questionnaires were collected via 'REDCap' and contain demographic information as well as chronotype, current conditions, sleep diaries, wear logs, and many more. This package makes loading the data from the respective repositories (<https://github.com/MeLiDosProject>) into R a breeze. It further contains some quality of life functions for label handling and data from 'REDCap'.https://github.com/r-universe/melidosproject/actions/runs/37298632829Tue, 07 Jul 2026 13:58:59 GMTmelidosData1.0.6successhttps://melidosproject.r-universe.devhttps://github.com/melidosproject/melidosdata