allen-brain-observatory.yaml

Name: Allen Brain Observatory - Visual Coding AWS Public Data Set
Description: |
  The Allen Brain Observatory – Visual Coding is a large-scale, standardized survey of physiological activity across the mouse visual cortex, hippocampus, and thalamus. It includes datasets collected with both two-photon imaging and Neuropixels probes, two complementary techniques for measuring the activity of neurons in vivo. The two-photon imaging dataset features visually evoked calcium responses from GCaMP6-expressing neurons in a range of cortical layers, visual areas, and Cre lines. The Neuropixels dataset features spiking activity from distributed cortical and subcortical brain regions, collected under analogous conditions to the two-photon imaging experiments. We hope that experimentalists and modelers will use these comprehensive, open datasets as a testbed for theories of visual information processing.
Documentation: https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory-%E2%80%93-Visual-Coding-on-AWS
Contact: awspublicdataset@alleninstitute.org
ManagedBy: "[Allen Institute](http://www.alleninstitute.org/)"
UpdateFrequency: Annually
Tags:
  - aws-pds
  - neurobiology
  - neuroimaging
  - image processing
  - imaging
  - life sciences
  - signal processing
  - electrophysiology
  - Mus musculus
License: http://www.alleninstitute.org/legal/terms-use/
Resources:
  - Description: Project data files in a public bucket
    ARN: arn:aws:s3:::allen-brain-observatory
    Region: us-west-2
    Type: S3 Bucket
  - Description: SageMaker launch template with s3fs bucket mounts
    ARN: arn:aws:s3:::allen-brain-observatory-templates
    Region: us-west-2
    Type: S3 Bucket
DataAtWork:
  Tutorials:
    - Title: Use the Allen Brain Observatory – Visual Coding on AWS
      URL: https://github.com/AllenInstitute/AllenSDK/wiki/Use-the-Allen-Brain-Observatory-%E2%80%93-Visual-Coding-on-AWS
      AuthorName: Nika Keller, David Feng
      AuthorURL: https://twitter.com/AllenInstitute
  Tools & Applications:
  Publications: