allen-nd-ephys-compression.yaml

Name: Allen Institute for Neural Dynamics - Extracellular Electrophysiology Compression Benchmark
Description: Extracellular electrophysiology data is growing at a remarkable pace. This data, collected neuropixels probes by the Allen Institute and the International Brain Lab can be used to benchmark throughput rates and storage ratios of various data compression algorithms.
Documentation: https://allenneuraldynamics.github.io/data.html#aind-benchmark-dataephys-compression
Contact: aindopendata@alleninstitute.org
ManagedBy: "[Allen Institute](http://neuraldynamics.alleninstitute.org/)"
UpdateFrequency: Weekly
Tags:
  - aws-pds
  - neurobiology
  - life sciences
  - signal processing
  - electrophysiology
  - Mus musculus
License: CC-BY-4.0
Resources:
  - Description: Project data files in a public bucket
    ARN: arn:aws:s3:::aind-benchmark-data/ephys-compression
    Region: us-west-2
    Type: S3 Bucket
DataAtWork:
  Tutorials:
    - Title: AIND ephys compression benchmark data
      URL: https://allenneuraldynamics.github.io/data.html#aind-benchmark-dataephys-compression
      AuthorName: David Feng, Alessio Buccino
      AuthorURL: https://twitter.com/AllenInstitute
  Tools & Applications:
  Publications:
    - Title: Compression strategies for large-scale electrophysiology data
      URL: https://www.biorxiv.org/content/10.1101/2023.05.22.541700v2
      AuthorName: Alessio P. Buccino, Olivier Winter, David Bryant, David Feng, Karel Svoboda, Joshua H. Siegle.
      AuthorURL: http://neuraldynamics.alleninstitute.org/