
Sold by: NYUMets
Open data
|
Deployed on AWS
This dataset contains 8,000+ brain MRIs of 2,000+ patients with brain metastases.
Overview
This dataset contains 8,000+ brain MRIs of 2,000+ patients with brain metastases.
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.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
- NIFTI files for brain MRIs and segmentations, CSV files with metadata
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:us-east-1:230249121367:accesspoint/external-users-read-only-ap
- AWS region
- us-east-1
Resources
Vendor resources
Support
Contact
Managed By
How to cite
NYUMets Brain Dataset was accessed on DATE from https://registry.opendata.aws/nyumets-brain .
Similar products

Brain/MINDS Marmoset Connectivity Resource (BMCR) is a resource that provides access to anterograde and retrograde neuronal tracer data, made available by Brain/MINDS project. It is currently restricted to injections into the prefrontal cortex of a marmoset brain but is planned to include injections into entire cortical areas and representative subcortical brain regions.

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, retinotopy, category localizers, anatomical data (T1, T2, diffusion, venogram, angiogram), physiological data (pulse, respiration), eye-tracking data, and additional behavioral assessments outside the scanner. Because of its unprecedented scale and richness, NSD can be used to explore diverse neuroscientific questions with high power at the level of individual subjects. In particular, the number o[...]

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.

The Brain Language Metrics on Company Filings (BLMCF) dataset has the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports for approximately 6000+ US stocks. Example of metrics are financial sentiment, percentage of specific language type in the document (e.g. litigious language) and similarity among documents. This extended version provides additional language metrics and an analysis of the whole report together with specific report sections (e.g. Risk Factors).