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

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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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PubType: Academic Journal
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  Data: A longitudinal dataset of physiological, hormonal, metabolic, and self-reported menstrual health data.
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  Data: <searchLink fieldCode="AU" term="%22Lin+G%22">Lin G</searchLink>; University of Toronto, Department of Computer Science, Toronto, Canada. blue.lin@mail.utoronto.ca.<br /><searchLink fieldCode="AU" term="%22Li+JY%22">Li JY</searchLink>; University of Toronto, Department of Computer Science, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Kalani+K%22">Kalani K</searchLink>; University of Toronto, Department of Computer Science, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Truong+KN%22">Truong KN</searchLink>; University of Toronto, Department of Computer Science, Toronto, Canada.<br /><searchLink fieldCode="AU" term="%22Mariakakis+A%22">Mariakakis A</searchLink>; University of Toronto, Department of Computer Science, Toronto, Canada.
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  Data: <searchLink fieldCode="JN" term="%22101640192%22">Scientific data</searchLink> [Sci Data] 2026 Feb 10; Vol. 13 (1). <i>Date of Electronic Publication: </i>2026 Feb 10.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101640192 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2052-4463 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220524463%22">20524463 </searchLink><i>NLM ISO Abbreviation: </i>Sci Data <i>Subsets: </i>MEDLINE
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        Value: 10.1038/s41597-026-06805-3
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      – Code: eng
        Text: English
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      – TitleFull: A longitudinal dataset of physiological, hormonal, metabolic, and self-reported menstrual health data.
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            NameFull: Li JY
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            – D: 10
              M: 02
              Text: 2026 Feb 10
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              Y: 2026
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