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About

This registry exists to help people discover and share datasets that are available via AWS resources. See recent additions and learn more about sharing data on AWS.

See all usage examples for datasets listed in this registry tagged with neuroscience.


Search datasets (currently 13 matching datasets)

You are currently viewing a subset of data tagged with neuroscience.


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If you want to add a dataset or example of how to use a dataset to this registry, please follow the instructions on the Registry of Open Data on AWS GitHub repository.

Unless specifically stated in the applicable dataset documentation, datasets available through the Registry of Open Data on AWS are not provided and maintained by AWS. Datasets are provided and maintained by a variety of third parties under a variety of licenses. Please check dataset licenses and related documentation to determine if a dataset may be used for your application.


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The Human Sleep Project

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

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...

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Fly Brain Anatomy: FlyLight Gen1 and Split-GAL4 Imagery

biologyfluorescence imagingimage processingimaginglife sciencesmicroscopyneurobiologyneuroimagingneuroscience

This data set, made available by Janelia's FlyLight project, consists of fluorescence images of Drosophila melanogaster driver lines, aligned to standard templates, and stored in formats suitable for rapid searching in the cloud. Additional data will be added as it is published.

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International Neuroimaging Data-Sharing Initiative (INDI)

Homo sapiensimaginglife sciencesmagnetic resonance imagingneuroimagingneuroscience

This bucket contains multiple neuroimaging datasets that are part of the International Neuroimaging Data-Sharing Initiative. Raw human and non-human primate neuroimaging data include 1) Structural MRI; 2) Functional MRI; 3) Diffusion Tensor Imaging; 4) Electroencephalogram (EEG) In addition to the raw data, preprocessed data is also included for some datasets. A complete list of the available datasets can be seen in the documentation lonk provided below.

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Open NeuroData

array tomographybiologyelectron microscopyimage processinglife scienceslight-sheet microscopymagnetic resonance imagingneuroimagingneuroscience

This bucket contains multiple neuroimaging datasets (as Neuroglancer Precomputed Volumes) across multiple modalities and scales, ranging from nanoscale (electron microscopy), to microscale (cleared lightsheet microscopy and array tomography), and mesoscale (structural and functional magnetic resonance imaging). Additionally, many of the datasets include segmentations and meshes.

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BossDB Open Neuroimagery Datasets

calcium imagingelectron microscopyimaginglife scienceslight-sheet microscopymagnetic resonance imagingneuroimagingneurosciencevolumetric imagingx-rayx-ray microtomographyx-ray tomography

This data ecosystem, Brain Observatory Storage Service & Database (BossDB), contains several neuro-imaging datasets across multiple modalities and scales, ranging from nanoscale (electron microscopy), to microscale (cleared lightsheet microscopy and array tomography), and mesoscale (structural and functional magnetic resonance imaging). Additionally, many of the datasets include dense segmentation and meshes.

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The Human Connectome Project

biologyimaginglife sciencesneurobiologyneuroimagingneuroscience

The Human Connectome Project (HCP Young Adult, HCP-YA) is mapping the healthy human connectome by collecting and freely distributing neuroimaging and behavioral data on 1,200 normal young adults, aged 22-35.

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Mouse Brain Anatomy: MouseLight Imagery

biologyfluorescence imagingimage processingimaginglife sciencesmicroscopyneurobiologyneuroimagingneuroscience

This data set, made available by Janelia's MouseLight project, consists of images and neuron annotations of the Mus musculus brain, stored in formats suitable for viewing and annotation using the HortaCloud cloud-based annotation system.

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Distributed Archives for Neurophysiology Data Integration (DANDI)

biologycell imagingelectrophysiologyinfrastructurelife sciencesneuroimagingneurophysiologyneuroscience

DANDI is a public archive of neurophysiology datasets, including raw and processed data, and associated software containers. Datasets are shared according to a Creative Commons CC0 or CC-BY licenses. The data archive provides a broad range of cellular neurophysiology data. This includes electrode and optical recordings, and associated imaging data using a set of community standards: NWB:N - NWB:Neurophysiology, BIDS - Brain Imaging Data Structure, and Details →

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I-CARE:International Cardiac Arrest REsearch consortium Electroencephalography Database

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

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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SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The IIIC dataset includes 50,697 labeled EEG samples from 2,711 patients' and 6,095 EEGs that were annotated by physician experts from 18 institutions. These samples were used to train SPaRCNet (Seizures, Periodic and Rhythmic Continuum patterns Deep Neural Network), a computer program that classifies IIIC events with an accuracy matching clinical experts.

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EEGDash on AWS

life sciencesmachine learningneuroscience

The EEG-DaSh data archive will establish a data-sharing resource for MEEG (EEG, MEG) data, enabling large-scale computational advancements to preserve and share scientific data from publicly funded research for machine learning and deep learning applications.

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Harvard Electroencephalography Database

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The Harvard EEG Database will encompass data gathered from four hospitals affiliated with Harvard University:Massachusetts General Hospital (MGH), Brigham and Women's Hospital (BWH), Beth Israel Deaconess Medical Center (BIDMC), and Boston Children's Hospital (BCH).

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Harvard-Emory ECG Database

bioinformaticsdeep learninglife sciencesmachine learningmedicineneurophysiologyneuroscience

The Harvard-Emory ECG database (HEEDB) is a large collection of 12-lead electrocardiography (ECG) recordings, prepared through a collaboration between Harvard University and Emory University investigators.

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Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD)

biologycell biologycell imagingepigenomicsgene expressionhistopathologyHomo sapiensimaginglife sciencesmedicinemicroscopyneurobiologyneurosciencesingle-cell transcriptomicstranscriptomics

The Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD) consortium strives to gain a deep molecular and cellular understanding of the early pathogenesis of Alzheimer's disease and is funded by the National Institutes on Aging (NIA U19AG060909). The SEA-AD datasets available here comprise single cell profiling (transcriptomics and epigenomics) and quantitative neuropathology. To explore gene expression and chromatin accessibility information, the single-cell profiling data includes: snRNAseq and snATAC-seq data from the SEA-AD donor cohort (aged brains which span the spectrum of Alzhe...

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recount3

bioinformaticsbiologycancercsvgene expressiongeneticgenomicHomo sapienslife sciencesMus musculusneurosciencetranscriptomics

recount3 is an online resource consisting of RNA-seq gene, exon, and exon-exon junction counts as well as coverage bigWig files for 8,679 and 10,088 different studies for human and mouse respectively. It is the third generation of the ReCount project and part of recount.bio. recount2 is also included for historical purposes. The pipeline used to generate the data in recount3 (but not recount2) is available here.

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Baby Open Brains (BOBs) Repository on AWS

life sciencesmagnetic resonance imagingneuroimagingneuroscienceniftipediatricsegmentation

Manually curated and reviewed infant brain segmentations and accompanying T1w and T2w images for a range of 1-9 month old participants from the Baby Connectome Project (BCP)

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Natural Scenes Dataset

computer visionimage processingimaginglife sciencesmachine learningmagnetic resonance imagingneuroimagingneurosciencenifti

Here, we collected and pre-processed a massive, high-quality 7T fMRI dataset that can be used to advance our understanding of how the brain works. A unique feature of this dataset is the massive amount of data available per individual subject. The data were acquired using ultra-high-field fMRI (7T, whole-brain, 1.8-mm resolution, 1.6-s TR). We measured fMRI responses while each of 8 participants viewed 9,000–10,000 distinct, color natural scenes (22,500–30,000 trials) in 30–40 weekly scan sessions over the course of a year. Additional measures were collected including resting-state data, retin...

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Blue Brain Open Data

brain imagesbrain modelselectrophysiologyion channelslife sciencesmicrocircuit modeling and simulationmorphological reconstructionsMus musculusneurosciencesimulation neurosciencesingle neuron models

The Blue Brain Open Data represents an extensive neuroscience dataset encompassing a diverse range of data types, including experimental, model, and simulation data, along with images and videos depicting reconstructed neurons and brain regions.

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