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. 2023 Jan 10;13:473. doi: 10.1038/s41598-022-26928-y

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© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Quantification of temperature-driven time shift. (a) Within-day hourly activity distribution by daily average temperature range. Each line represents the within-day activity pattern for days lying in each daily average temperature range. Shaded areas are 95% confidence intervals. (b) Quantified time shift (Δt) as a function of daily average temperature. Shaded areas are 95% confidence intervals calculated through Monte Carlo sampling of econometric parameter estimates of both the within-day activity distribution pattern (25 quantiles) and the daily activity quantity by temperature (25 quantiles)⁵⁴.