Menstrual Cycle Data on Hormonal Changes and Phases

Juan Moises de la Serna Tuya provides a dataset on the human menstrual cycle, focusing on hormonal, physiological, and anatomical changes. It details the four key stages of the cycle: menstruation, pre-ovulation, ovulation, and post-ovulation. The data is licensed under CC BY 4.0 and was last updated in March 2026.

Use Cases

• Analyze the duration and variation of the menstrual cycle phases, such as the follicular and luteal stages, to study hormonal patterns.
• Investigate the impact of internal agents like stress on cycle regularity and hormonal imbalances described in the data.
• Explore potential correlations between menstrual cycle timing and external agents such as luminosity or temperature.
• Model the four-stage cycle structure to understand physiological changes aimed at enabling pregnancy.

Strengths

• Data is licensed under the permissive CC BY 4.0 license, facilitating open use and sharing.
• The dataset is tagged with specific domains like Reproductive Biology and Physiology, aiding discovery.
• Last updated in March 2026, indicating planned maintenance and potential recency.

Limitations

• The dataset lacks concrete metadata such as row count, column definitions, and sample data, limiting initial assessment.
• The description is primarily narrative, suggesting the data may be unstructured or lack standardized, machine-readable features.
• No information on sample size, geographic scope, or temporal coverage is provided, restricting generalizability.

Provenance

Source

Juan Moises de la Serna Tuya via figshare

Freshness

Last updated on 2026-03-23.