Resources


Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, Khai Truong, Alex Mariakakis

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0

Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, Khai Truong, Alex Mariakakis

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0

Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, Khai Truong, Alex Mariakakis

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0

Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, Khai Truong, Alex Mariakakis

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0

Challenge Restricted Access

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

Meredith Lee, Jesse Raffa, Marzyeh Ghassemi, Tom Pollard, Sharada Kalanidhi, Omar Badawi, Karen Matthys, Leo Anthony Celi

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health. Join a team, explore the data, and share your insights: http://bit.ly/WiDSdatathon2020

mortality risk data science kaggle icu challenge predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0

Challenge Restricted Access

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

Meredith Lee, Jesse Raffa, Marzyeh Ghassemi, Tom Pollard, Sharada Kalanidhi, Omar Badawi, Karen Matthys, Leo Anthony Celi

WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction focuses on patient health. Join a team, explore the data, and share your insights: http://bit.ly/WiDSdatathon2020

mortality risk data science kaggle icu challenge predictive analytics women in data science

Published: Jan. 22, 2020. Version: 1.0.0

Database Credentialed Access

AMR-UTI: Antimicrobial Resistance in Urinary Tract Infections

Michael Oberst, Soorajnath Boominathan, Helen Zhou, Sanjat Kanjilal, David Sontag

AMR-UTI is a freely accessible dataset, derived from electronic health record (EHR) information on over 100,000 urinary tract infections (UTI) treated at Massachusetts General Hospital and Brigham & Women's Hospital in Boston, MA, USA.

antibiotic resistance causal inference policy learning antimicrobial resistance urinary tract infection clinical decision support machine learning

Published: Nov. 4, 2020. Version: 1.0.0