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

NIDX: A Machine Learning Approach for Identifying People with Neuroinfectious Diseases in Electronic Health Records

Arjun Singh, Shadi Sartipi, Haoqi Sun, Niels Turley, Sahar Zafar, Sudeshna Das, Marta Fernandes, M Brandon Westover, Shibani Mukerji

A machine learning approach to accurately identify neuroinfectious diseases from clinical notes.

electronic health records ehr phenotyping natural language processing neuroinfectious diseases

Published: May 31, 2025. Version: 1.0

Model Restricted Access

Complete AI Sleep Report (CAISR) v1.0

Samaneh Nasiri, Wolfgang Ganglberger, Thijs Nassi, Erik-Jan Meulenbrugge, Haoqi Sun, Robert Thomas, M Brandon Westover

Software for automated scoring of clinical polysomnography (PSG) recordings.

Published: May 19, 2025. Version: 1.0

Database Restricted Access

SpikeNet 2.0

Jun Li, Daniel Goldenholz, Shenda Hong, Chenxi Sun, Jin Jing, M Brandon Westover

An expert-level deep learning model for detecting epileptiform discharges in EEG recordings at both event and whole-EEG levels.

Published: April 30, 2025. Version: 1.0

Database Restricted Access

Quantifying Loop Gain using Dynamical Modelling of Ventilatory Control - Data and Code

Thijs Nassi, Yalda Amidi, M Brandon Westover, Robert Thomas

Automated method for quantifying Loop Gain from respiratory signals.

Published: April 24, 2025. Version: 2.0

Database Restricted Access

Ordinal Sleep Depth - Data and Code

Erik-Jan Meulenbrugge, Haoqi Sun, Wolfgang Ganglberger, Samaneh Nasiri, Robert Thomas, M Brandon Westover

Data and code for "Ordinal Sleep Depth: A Data-Driven Continuous Measurement of Sleep Depth"

Published: April 24, 2025. Version: 1.0

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

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 --- 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.

More news