By downloading and/or using the Data & Code (including downloading, cloning, installing, and any other use of the corresponding code repository), you acknowledge that you have read these terms and conditions, understand them, and agree to be bound by them. If you do not agree with these terms and conditions, you must not download and/or use the Data & Software. Any infringement of the terms of this agreement will automatically terminate your rights under this License. By accessing and using this database (the "Database"), users ("Users") acknowledge and agree to comply with the following conditions:

🏷️ License and Attribution

• The Database is publicly released under a Attribution–NonCommercial–NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) license.
• Users must provide appropriate attribution by citing the Database and the original publications associated with each dataset accessed from the Database.

🔒 Data Privacy and Ethics

• Users must not attempt to identify, contact, or otherwise compromise the anonymity of any individuals whose data is included in the Database.
• All use of the data must comply with applicable ethical guidelines and legal regulations, including privacy laws (e.g., GDPR, HIPAA, PIPEDA).

🛡️ Data Handling and Security

• Users must maintain appropriate data security measures to prevent unauthorized access, sharing, or use of the data.
• Users are encouraged, but not required, to direct third parties to the original Database URL rather than re-hosting the data.

⚖️ Intellectual Property Notice

• Copyright and other rights remain with the original data providers.

⚠️ Disclaimer of Warranty

• Use of the Database is subject to Section 5 (Disclaimer of Warranties and Limitation of Liability) of the CC BY-NC-ND 4.0 licence.

You expressly acknowledge and agree that the Data & Software results from basic research, is provided "AS IS", may contain errors, and that any use of the Data is at your sole risk.

📖 Publications using the Data and/or Benchmark

@inproceedings{adeli2025carepd,
title={CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment},
author={Vida Adeli, Ivan Klabu\v{c}ar, Javad Rajabi, Benjamin Filtjens, Soroush Mehraban, Diwei Wang, Hyewon Seo, Trung-Hieu Hoang, Minh N. Do, Candice Muller, Claudia Neves de Oliveira, Daniel Boari Coelho, Pieter Ginis, Moran Gilat, Alice Nieuwboer, Joke Spildooren, J. Lucas McKay, Hyeokhyen Kwon, Gari Clifford, Christine D. Esper, Stewart A. Factor, Imari Genias, Amirhossein Dadashzadeh, Leia Shum, Alan Whone, Majid Mirmehdi, Andrea Iaboni, Babak Taati},
booktitle={NeurIPS},
year={2025}
}