{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T18:14:13Z","timestamp":1788372853897,"version":"build-2803163510"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"vor","delay-in-days":222,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000268","name":"Biotechnology and Biological Sciences Research Council","doi-asserted-by":"crossref","award":["BB\/V006665\/1"],"award-info":[{"award-number":["BB\/V006665\/1"]}],"id":[{"id":"10.13039\/501100000268","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000288","name":"Royal Society","doi-asserted-by":"publisher","award":["IF\\R2\\2320049"],"award-info":[{"award-number":["IF\\R2\\2320049"]}],"id":[{"id":"10.13039\/501100000288","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>It is currently challenging for scientists to extract meaningful parameters from circadian rhythms that dynamically change over time (i.e. non-stationary rhythms). Circadian rhythms may be non-stationary due to dynamic conditions, such as changes in photoperiod. Circadian rhythms are also nonstationary when plants are suddenly placed under continuous light conditions after a period of entrainment, as their clocks slowly drift without external entrainment signals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>TimeTraits provides a series of functions to enable the extraction of parameters from time series data using Functional Data Analysis methods. We demonstrate its utility in dissecting the changes in curve shape of a circadian clock bioluminescence marker, following a photoperiod shift in wildtype and phyB Arabidopsis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>TimeTraits is available in CRAN: https:\/\/cran.r-project.org\/web\/packages\/TimeTraits<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioadv\/vbag226","type":"journal-article","created":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T11:20:58Z","timestamp":1786360858000},"source":"Crossref","is-referenced-by-count":0,"title":["TimeTraits: extracting functional traits from biological time-series in R"],"prefix":"10.1093","volume":"6","author":[{"given":"Sarah C L","family":"Lock","sequence":"first","affiliation":[{"name":"Department of Biology, University of York , Heslington, York YO10 5DD,","place":["United 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