Sold by: Brain Data Science Platform
Open data
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Deployed on AWS
This collection unifies multiple brain datasets spanning critical care, sleep medicine, cardiopulmonary health, infectious diseases, and other aspects of clinical neuroscience. It includes a variety of types of clinical neuroscience data including electroencephalography (EEG) and polysomnography (PSG) recordings, and supporting data to enable research in diverse areas of clinical neuroscience such as epilepsy, delirium, coma, and sleep medicine. All data is de-identified and includes code to reproduce results in accompanying research publications. The data is available for non-commercial research use and is open access.
Overview
This collection unifies multiple brain datasets spanning critical care, sleep medicine, cardiopulmonary health, infectious diseases, and other aspects of clinical neuroscience. It includes a variety of types of clinical neuroscience data including electroencephalography (EEG) and polysomnography (PSG) recordings, and supporting data to enable research in diverse areas of clinical neuroscience such as epilepsy, delirium, coma, and sleep medicine. All data is de-identified and includes code to reproduce results in accompanying research publications. The data is available for non-commercial research use and is open access.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Assessing Risk of Health Outcomes From Brain Activity in Sleep
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:us-east-1:184438910517:accesspoint/bdsp-open-access-point/
- AWS region
- us-east-1
- Description
- The Human Burst Suppression Electroencephalogram of Deep Hypothermia
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:us-east-1:184438910517:accesspoint/bdsp-open-access-point/
- AWS region
- us-east-1
- Description
- Visual EEG-Based Grading of Delirium Severity and Associations with Clinical Outcomes (VE-CAM-S)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:us-east-1:184438910517:accesspoint/bdsp-open-access-point/
- AWS region
- us-east-1
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How to cite
Brain Data Science Database 1 was accessed on DATE from https://registry.opendata.aws/bdsp_open_projects .
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This collection unifies multiple brain datasets spanning critical care, sleep medicine, cardiopulmonary health, infectious diseases, and other aspects of clinical neuroscience. It includes large-scale electroencephalography (EEG) and polysomnography (PSG) recordings, brain imaging data (MRI, CT, PET), and electronic health records (EHR) data supporting research in areas such as epilepsy, delirium, coma, sleep depth, sleep-related breathing disorders, burst suppression, meditation, subarachnoid hemorrhage, cardiac arrest, and neuroinfectious diseases. All data is de-identified and includes algorithmic tools and reproducible code. Access requires (1) submitting proof of CITI training certification (research ethics training for human subjects research - see https://bdsp.io/about/citi-course/); (2) signing a data use agreement that prohibits re-identification, requires data security, restricts sharing, limits use to non-commercial research, and mandates reporting any potentially ident[...]
This collection unifies multiple brain datasets spanning critical care, sleep medicine, cardiopulmonary health, infectious diseases, and other aspects of clinical neuroscience. It includes large-scale electroencephalography (EEG) and polysomnography (PSG) recordings, brain imaging data (MRI, CT, PET), and supporting data to enable research in diverse areas of clinical neuroscience such as epilepsy, delirium, coma, sleep depth, sleep-related breathing disorders, meditation, subarachnoid hemorrhage, cardiac arrest, neuroinfectious diseases, and audiology. All data is de-identified and includes algorithmic tools and reproducible code. Access requires signing a data use agreement that prohibits re-identification, requires data security, restricts sharing, limits use to non-commercial research, and mandates reporting any potentially identifying information.
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The Human Sleep Project (HSP) sleep physiology dataset is a growing collection of clinical polysomnography (PSG) recordings. Beginning with PSG recordings from from ~15K patients evaluated at the Massachusetts General Hospital, the HSP will grow over the coming years to include data from >200K patients, as well as people evaluated outside of the clinical setting. This data is being used to develop CAISR (Complete AI Sleep Report), a collection of deep neural networks, rule-based algorithms, and signal processing approaches designed to provide better-than-human detection of conventional PSG scoring metrics, including sleep stages, arousals, apnea and hypopnea events and their subtypes, and periodic limb movements. Beyond conventional scoring, the HSP dataset is intended to support research seeking to identify "hidden" information within the brain's activity during sleep that can be used to directly measure brain health. These brain health indicators include measures of risk for co[...]