Name: Allen Institute for Neural Dynamics - Extracellular Electrophysiology Compression Benchmark
License: CC-BY-4.0

Allen Institute for Neural Dynamics - Extracellular Electrophysiology Compression Benchmark

electrophysiology life sciences Mus musculus neurobiology signal processing

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.

Update Frequency

Weekly

License

CC-BY-4.0

Documentation

https://allenneuraldynamics.github.io/data.html#aind-benchmark-dataephys-compression

Managed By

See all datasets managed by Allen Institute.

Contact

aindopendata@alleninstitute.org

How to Cite

Allen Institute for Neural Dynamics - Extracellular Electrophysiology Compression Benchmark was accessed on DATE from https://registry.opendata.aws/allen-nd-ephys-compression.

Usage Examples

Tutorials

AIND ephys compression benchmark data by David Feng, Alessio Buccino

Publications

Compression strategies for large-scale electrophysiology data by Alessio P. Buccino, Olivier Winter, David Bryant, David Feng, Karel Svoboda, Joshua H. Siegle.

Resources on AWS

Description

Project data files in a public bucket

Resource type

S3 Bucket

Amazon Resource Name (ARN)

arn:aws:s3:::aind-benchmark-data/ephys-compression

AWS Region

us-west-2

AWS CLI Access (No AWS account required)

aws s3 ls --no-sign-request s3://aind-benchmark-data/ephys-compression/