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Brain Data Science Platform

The Resource for Computational Brain Science Research

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Featured Resources

The Brain Imaging and Neurophysiology Database (BIND)

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.

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

Hosted files: 2.5 KB

Published: Sept. 9, 2025. Version: 1.0

The Human Sleep Project

Historical release v2.0 · View the latest release

Database brain health artificial intelligence sleep

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

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

Hosted files: 3.0 MB

Published: Nov. 1, 2023. Version: 2.0

Harvard Electroencephalography Database

Database routine eeg epilepsy monitoring unit electroencephalography icu eeg epilepsy eeg

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

Hosted files: 2.3 KB

Published: Feb. 10, 2025. Version: 4.1

The Boston Childrens Hospital Sleep Corpus

Database

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

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

Hosted files: 2.3 KB

Published: Aug. 6, 2025. Version: 1.0.1

I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database

Historical release v1.0 · View the latest release

Database

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.

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

Published: Oct. 11, 2023. Version: 1.0

Targeted Metabolomics in the REGARDS Stroke Case-Cohort Study

Database

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

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

Hosted files: 2.3 KB

Published: Feb. 26, 2025. Version: 1.0.0

Latest Resources

Sleep Health Data Commons

Database

A credentialed, harmonized commons of de-identified clinical sleep and neurophysiology data: polysomnography, EEG, brain MRI and linked EHR, from multiple health systems, developed under the ARPA-H REST program.

M. Brandon Westover

Hosted files: 2.5 KB

Published: Oct. 28, 2026. Version: 1.0.0

Pediatric SleepNet: A Deep Learning Model for Reliable Pediatric Sleep Staging Across Developmental Stages — Trained Models and Code

Model

Pediatric SleepNet: a multimodal (EEG+EOG+EMG) U-Net deep learning model for automated pediatric sleep staging across development (infants to adolescents), with age-specific models trained on the BCH Sleep Corpus. Trained model weights + code.

Ayush Tripathi, Arnav Gupta, Wolfgang Ganglberger, Samuel Waters, Haoqi Sun, Samaneh Nasiri, Ayan Mitra, Katie Stone, Emmanuel Mignot, Dennis Hwang, Matthew Reyna, Lynn Marie Trotti, Gari Clifford, Kiran Maski, Umakanth Katwa, Robert Thomas, M. Brandon Westover

Hosted files: 2.5 KB

Published: Sept. 22, 2026. Version: 1.0.0

LENS: Lifespan and Sleep-Stage-Resolved Normative EEG Background Slowing - Data and Code

Database

LENS: lifespan and sleep-stage-resolved normative EEG growth charts that score background slowing as a deviation from age- and stage-matched normal, for detection and automated reporting. De-identified derived data and reproducible code.

Jin Jing, ChenXi Sun, Wolfgang Ganglberger, Alice Lam, Haoqi Sun, Tianyu Zhang, Daniel Goldenholz, Fábio A. Nascimento, Doyle Yuan, Sándor Beniczky, Jennifer Kim, Aaron F Struck, Sahar F. Zafar, Robert Thomas, Mouhsin Shafi, M. Brandon Westover

Hosted files: 2.5 KB

Published: Sept. 11, 2026. Version: 1.1.0

GROND: Automated Characterization of Periodic and Rhythmic EEG Patterns

Database

Automated characterization of periodic discharges and rhythmic delta activity in critical-care EEG: frequency, laterality, spatial extent and individual discharge timing, benchmarked against four expert raters.

Jin Jing, ChenXi Sun, Tianyu Zhang, Matthew Byrd, Alexandra Tautan, Lara Basovic, Peter Hadar, Marta Fernandes, Daniel Goldenholz, Jennifer Kim, Aaron F Struck, Sahar F. Zafar, M. Brandon Westover

Hosted files: 2.5 KB

Published: Aug. 18, 2026. Version: 1.0.0

I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database

Database

Hosted files: 2.5 KB

Published: July 29, 2026. Version: 2.0

ELUCID: Late-Onset Unexplained Epilepsy as a Risk Factor for Cognitive Impairment and Dementia — A Multi-Center Prospective Longitudinal Study (Protocol and Data Resource)

Database

ELUCID is a 7-center longitudinal study of 600 adults aged 55+ with late-onset unexplained epilepsy, building a multimodal biorepository (brain MRI, overnight EEG, cognitive testing, blood biomarkers) to identify risk factors for dementia.

Alice Lam, Emily Johnson, rani sarkis, Leah J. Blank, Tyler E. Gaston, Mouhsin Shafi, Rodrigo Zepeda, Niyatee Samudra, Keith A. Vossel, Ifrah Zawar, Douglas N. Greve, Lori B. Chibnik, Rebecca E. Amariglio, Gad A. Marshall, M. Brandon Westover

Hosted files: 614.7 KB

Published: July 29, 2026. Version: 1.0.0

More resources

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.

More news