Brain Data Science Platform

Featured Resources

Database Credentialed Access

The Brain Imaging and Neurophysiology Database (BIND)

Charlotte Maschke, Peter Hadar, Yicheng Zhang, Jian Li, Gauri Ganjoo, Andrew Hoopes, Alessandro Guazzo, Aditya Gupta, Manohar Ghanta, Bruce Nearing, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, Jennifer Kim, Shibani Mukerji, Adrian Dalca, Sahar Zafar, Alice Lam, Emmanuel Mignot, M Brandon Westover

BIND Database 1: Neuroimaging Data (MRI, CT, PET, SPECT) that can be paired with EEG and PSG (found in the Harvard EEG Database https://bdsp.io/content/harvard-eeg-db/4.1/). LLMs helped categorize pathology.

ct mri brain imaging

Published: Sept. 9, 2025. Version: 1.0

Database Credentialed Access

The Human Sleep Project

Haoqi Sun, Wolfgang Ganglberger, Samaneh Nasiri, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Sydney Cash, Katie Stone, Zhiyong Zhang, Gauri Ganjoo, Thijs E Nassi, Ruoqi Wei, Erik-Jan Meulenbrugge, Rhoda Au, Gari Clifford, Lynn Marie Trotti, Dennis Hwang, Emmanuel Mignot, Umakanth Katwa, M Brandon Westover

The Human Sleep Project (HSP) is a large collection of clinical sleep physiology recordings created to enable brain health research.

sleep brain health artificial intelligence

Published: Nov. 1, 2023. Version: 2.0

Database Credentialed Access

Harvard Electroencephalography Database

Sahar Zafar, Tobias Loddenkemper, Jong Woo Lee, Andrew Cole, Daniel Goldenholz, Jurriaan Peters, Alice Lam, Edilberto Amorim, Catherine Chu, Sydney Cash, Valdery Moura Junior, Aditya Gupta, Manohar Ghanta, Marta Fernandes, Haoqi Sun, Jin Jing, M Brandon Westover

Harvard Electroencephalography Database

routine eeg epilepsy monitoring unit electroencephalography icu eeg eeg epilepsy

Published: Feb. 10, 2025. Version: 4.1

Database Credentialed Access

The Boston Childrens Hospital Sleep Corpus

Ayush Tripathi, Wolfgang Ganglberger, Haoqi Sun, Callison Alcott, Niels Turley, Rebecca Fitzgerald, Ayan Mitra, Samuel Waters, Arnav Gupta, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Samaneh Nasiri, Bruce Nearing, Katie Stone, Emmanuel Mignot, Dennis Hwang, Matthew Reyna, Zuzana Koscova, Chad Robichaux, Zhiyong Zhang, Qiao Li, Gauri Ganjoo, Lynn Marie Trotti, Gari Clifford, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, M Brandon Westover, Kiran Maski, Umakanth Katwa

The Boston Children’s Hospital (BCH) Sleep Corpus comprises 15,695 fully annotated pediatric polysomnography (PSG) recordings collected between 2010 and 2024.

Published: Aug. 6, 2025. Version: 1.0.1

Database Restricted Access

I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database

Edilberto Amorim, Wei-Long Zheng, Mohammad Ghassemi, Mahsa Aghaeeaval, Pravinkumar Kandhare, Vishnu Karukonda, Jong Woo Lee, Susan Herman, adithya sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel JAM van Putten, Reza Sameni, Matthew Reyna, Gari Clifford, M Brandon Westover

Multicenter clinical and EEG Database including patients who were comatose after cardiac arrest. This database includes 1,020 patients and more than 50,000 hours of continuous EEG from 7 hospitals in the U.S. and Europe.

Published: Oct. 11, 2023. Version: 1.0

Database Restricted Access

Targeted Metabolomics in the REGARDS Stroke Case-Cohort Study

Zsuzsanna Ament, Naruchorn Kijpaisalratana, Varun Bhave, Catharine Couch, Ana-Lucia Garcia Guarniz, Amit Patki, Mary Cushman, Suzanne Judd, Ryan Irvin, William Kimberly

This dataset contains metabolomics data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a large, biracial cohort investigating metabolic biomarkers linked to stroke risk and health disparities across the United State

Published: Feb. 26, 2025. Version: 1.0.0

Latest Resources

Database Restricted Access

On-demand EEG education through competition: learning to identify IEDs

Jaden D. Barfuss, Fabio Nascimento, Erik Duhaime, Srishti Kapur, Ioannis Karakis, Marcus Ng, Aline Herlopian, Alice Lam, Douglas Maus, Jonathan Halford, Sydney Cash, M Brandon Westover, Jin Jing

iOS-app-based EEG education and gamified learning data: 2,270 participants rated candidate interictal epileptiform discharges (IEDs) on the DiagnosUs app, with 13,262 EEG candidates, survey responses, and learning curves.

education interictal epileptiform discharges eeg epilepsy crowdsourcing

Published: April 18, 2026. Version: 1.0.0

Database Restricted Access

Measuring Expertise in Identifying Interictal Epileptiform Discharges

Nitish Harid, Jin Jing, Jacob Hogan, Fabio Nascimento, Wei-Long Zheng, Wendong Ge, Sahar Zafar, Jennifer Kim, Alice Lam, Aline Herlopian, Douglas Maus, Ioannis Karakis, Marcus Ng, Shenda Hong, Peter Kaplan, Sydney Cash, Mouhsin Shafi, Jonathan Halford, M Brandon Westover

Dataset of 13,262 candidate interictal epileptiform discharges (IEDs) from EEGs at Massachusetts General Hospital, scored by 8 fellowship-trained physicians, used in an online test to quantify reader skill in IED recognition.

benchmark expert annotation interictal epileptiform discharges eeg epilepsy

Published: April 17, 2026. Version: 1.0.0

Model Credentialed Access

Automated Prediction of Glasgow Coma Scale Scores from Unstructured Electronic Health Records: a Natural Language Processing Approach

Marta Fernandes, Niels Turley, Haoqi Sun, Shibani Mukerji, Lidia M. V. R. Moura, M Brandon Westover, Sahar Zafar

Prediction of Glasgow Coma Scale scores from Unstructured Electronic Health Records using NLP

glasgow coma scale natural language processing ordinal regression electronic health records clinical notes

Published: April 17, 2026. Version: 1.0.0

Database Credentialed Access

PRediction Of Disease PHEnoTypes (PROPHET)

Niels Turley, Marta Fernandes, Shadi Sartipi, Han Wu, Alice Lam, Lydia Petersen, Catherine Clive, Daniel Sumsion, Ruoqi Wei, Bram Overmeer, Jaden Searle, Gregory Hooke, Spencer Boris, Wan-Yee Kong, Arjun Singh, Marjan Sarami, Alihan Yaramis, Imad Akbar, Rebecca Milde, Jet Veltink, Elijah Davis, Aditya Gupta, Manohar Ghanta, Aidan McDonald Wojciechowski, Shibani Mukerji, Haoqi Sun, M Brandon Westover, Sahar Zafar

Multicenter expert-annotated EHR dataset and NLP phenotyping framework for 17 neurological conditions spanning diagnoses, severity scales, and outcomes across six U.S. health systems.

Published: March 31, 2026. Version: 1.0

Database Credentialed Access

Narcolepsy Risk Estimation from Clinical Notes

Niels Turley, Haoqi Sun, M Brandon Westover

Dataset and code for developing and validating machine learning models to phenotype narcolepsy type 1 (NT1) and narcolepsy type 2/idiopathic hypersomnia (NT2/IH) from multi-site electronic health record data, including cross-sectional classification

Published: March 2, 2026. Version: 1.0

Database Credentialed Access

Harvard-Emory ECG Database

Zuzana Koscova, Valdery Moura Junior, Matthew Reyna, Shenda Hong, Aditya Gupta, Manohar Ghanta, Reza Sameni, Aaron Aguirre, Qiao Li, Sahar Zafar, Gari Clifford, M Brandon Westover

The Harvard ECG database (HEEDB) is a large collection of 12-lead electrocardiography (ECG) recordings.

Published: Feb. 25, 2026. Version: 5.0

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News

BDSP Recognized as NIH-Approved Data Repository

Nov. 21, 2024

As of Nov 21, 2024, the National Institutes of Health (NIH) has officially recognized BDSP as an approved repository for researchers to meet NIH Data Management and Sharing (DMS) requirements. This designation enables NIH-funded researchers to utilize BDSP for depositing and sharing their research data in compliance with NIH data sharing policies. As a vetted repository on the NIH's list of domain-specific repositories, BDSP is commited to advancing open science and facilitating collaborative research in brain data science.

For more information about depositing data in BDSP, please contact our support team.

Learn how to interact with the project data

Oct. 16, 2023

Take a look at the Tutorial explaining how to interact and download with the data published together with BDSP Projects. You can find more details here.

New I-CARE train dataset released !

News from: I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database v1.0.

Oct. 16, 2023

The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.

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