Paper details

Title: Constructing melanopic light exposure profiles from sparse daily-route measurements

Authors: Niloufar Tabandeh , Jennifer A. Veitch , Manuel Spitschan

Abstract: Obtained from CrossRef

Abstract Daily light exposure is temporally structured, yet calibrated spectral measurements are usually available only at selected locations and times. Turning such a sparse library into a schedule-resolved profile requires an assignment rule: a decision about which measurements may represent each unmeasured part of the day. We examined how much that decision matters. Sixty-three eye-level spectral irradiance measurements, collected across home, commute, office and lunch settings on three June days in Ottawa, were mapped onto a schedule of 22 half-hour slots. For each of six assignment rules we generated 100,000 profiles and computed melanopic dose and time above thresholds of 250, 1,000 and 10,000 melanopic lx. Indoor-only and outdoor-only assignments gave contrasting bounds, with median doses of 16,536 and 119,995 lx ⋅ h. Among the four rules that combined indoor and outdoor measurements, median dose varied only from 44,257 to 48,337 lx ⋅ h, whereas the central 95% of the generated dose distributions spanned ranges differing by nearly a factor of two. Central estimates were set largely by the composition of the eligible measurement pools rather than by the structure a rule preserved; the rule mainly determined spread. Targeted substitutions, in which only commute and lunch conditions were changed, raised median dose by 28,600 lx ⋅ h, with outdoor lunch contributing more cumulative dose and outdoor commuting more time above 10,000 lx. The framework supports sensitivity and scenario analysis rather than reconstruction of continuous personal exposure, and shows why the assignment step must be reported explicitly for a constructed profile to be interpretable.

Work publication date: 2026-10-16

OpenAlex: https://openalex.org/W7222584248

CODECHECK details

Certificate identifier: 2026-025

Codechecker name: Bruno de Paula Kinoshita

Time of check: 2026-09-20

Repository: https://github.com/codecheckers/TabandehEtAl_npjBiolTimingSleep_2026

Full certificate: https://doi.org/10.5281/zenodo.22935939

Certificate on Wikidata: Q141668973

Type: community

Venue: codecheck

Summary:

Reproduction using the Workflow hosted at https://github.com/tscnlab/TabandehEtAl_npjBiolTimingSleep_2026, using the Git commit e4a1b5500394de6e317aabd8315df60b8bedc6e3. Installed the dependencies on a Linux Ubuntu 26.04, using micromamba, with R 4.6.1, latest quarto and renv, following the instructions from the project README file. There were minor issues during the dependencies installation that authors started working on improvements for the documentation. A Jupyter notebook was used, as instructed in the project README, to execute part of the workflow. The actual data processing was verified using the R Quarto notebook, that took about 11 hours to complete. After that, the remaining steps of the Jupyter notebook were executed, and produced the same figures and table data used in the article. The data, plots, tables, all looked correct.

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