Brain Data Science Platform

Featured Resources

Database Restricted Access

The Human Sleep Project

M Brandon Westover, Valdery Moura Junior, Robert Thomas, Sydney Cash, Samaneh Nasiri, Haoqi Sun, Aditya Gupta, Jonathan Rosand, Manohar Ghanta, Wolfgang Ganglberger, Umakanth Katwa, Katie Stone, Zhiyong Zhang, Gauri Ganjoo, Thijs E Nassi PhD Candidate, Ruoqi Wei, Dennis Hwang, Lynn Marie Trotti, Ankit Parekh, ErikJan Meulenbrugge, Emmanuel Mignot, Rhoda Au, Gari Clifford, David Rapoport

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: May 23, 2023. Version: 1.0

Database Credentialed Access

Harvard-Emory ECG Database

Valdery Moura Junior, Matthew Reyna, Shenda Hong, Aditya Gupta, Manohar Ghanta, Reza Sameni, Jonathan Rosand, Aaron Aguirre, Qiao Li, Gari Clifford, M Brandon Westover

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

Published: Sept. 8, 2023. Version: 1.0

Latest Resources

Database Restricted Access

Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage

Zhongwei Jin, Wei-Long Zheng, M Brandon Westover, Jennifer Kim

Data and code to reproduce this paper: https://pmc.ncbi.nlm.nih.gov/articles/PMC9847346/

Published: April 4, 2025. Version: 1.0

Database Restricted Access

TEEGLLTEEG: This EEG Looks Like That EEG

Alina Jade Barnett, Stark Guo, Jin Jing, Cynthia Rudin, M Brandon Westover

TEEGLLTEEG

Published: March 26, 2025. Version: 1.2

Database Restricted Access

Morphological Prediction of CPAP Associated Acute Respiratory Instability (Self Similarity)

Thijs E Nassi, Gonzalo Labarca, Robert Thomas, M Brandon Westover

Algorithm to detect breathing pattern self-similarity to predict CPAP therapy outcomes in OSA

Published: March 3, 2025. Version: 1.0

Database Restricted Access

Cyclops: Automated detection of interictal epileptiform discharges with few EEG channels

Moritz Maximilian Alkofer, M Brandon Westover, Jin Jing, Daniel Goldenholz

Cyclops dataset

Published: March 1, 2025. Version: 2.0

Database Restricted Access

Sleep Recordings from Wearable Devices in Meditators

Jayme Banks, Haoqi Sun, Robert Thomas, M Brandon Westover, Balachundhar Subramaniam

initial upload

Published: Feb. 28, 2025. 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

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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 --- click here

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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