A longitudinal dataset of physiological, hormonal, metabolic, and self-reported menstrual health data.

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Bibliographic Details
Title: A longitudinal dataset of physiological, hormonal, metabolic, and self-reported menstrual health data.
Authors: Lin G; University of Toronto, Department of Computer Science, Toronto, Canada. blue.lin@mail.utoronto.ca., Li JY; University of Toronto, Department of Computer Science, Toronto, Canada., Kalani K; University of Toronto, Department of Computer Science, Toronto, Canada., Truong KN; University of Toronto, Department of Computer Science, Toronto, Canada., Mariakakis A; University of Toronto, Department of Computer Science, Toronto, Canada.
Source: Scientific data [Sci Data] 2026 Feb 10; Vol. 13 (1). Date of Electronic Publication: 2026 Feb 10.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2052-4463
DOI:10.1038/s41597-026-06805-3