Sold by: Allen Institute
Open data
|
Deployed on AWS
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.
Overview
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.
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.
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
- 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/
Resources
Vendor resources
Support
Managed By
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 .
License
CC-BY-4.0
Similar products
![Allen Institute for Neural Dynamics - Extracellular Electrophysiolo[...]](https://d1ewbp317vsrbd.cloudfront.net/787660d0-542d-46af-b80f-0c7f9837328b.png)
Evaluation of spike sorting methods is a challenging task, as it requires both ground-truth data and a variety of sorting algorithms to compare against. This dataset contains a set of hybrid data specifically designed for benchmarking spike sorting methods.
![Allen Institute for Neural Dynamics - Mouse Neuroanatomy and Physio[...]](https://d1ewbp317vsrbd.cloudfront.net/7109dae4-dcb0-41a6-97ce-3bccbe907549.png)
The Allen Institute for Neural Dynamics (AIND) is committed to FAIR, Open, and Reproducible science. We therefore share all of the raw and derived data we collect publicly with rich metadata, including preliminary data collected during methods development, as near to the time of collection as possible.
This is a large-scale survey that describes the physiology (strength, kinetics, and short term plasticity) of thousands of synapses from patch clamp experiments in mouse visual cortex and human middle temporal gyrus.
![Allen institute intratelencephalic neuron connectivity paper supple[...]](https://d1ewbp317vsrbd.cloudfront.net/d0474736-77e4-430f-9756-df1585da1146.png)
organized and data files for plotting figures in the manuscript of VISp intratelencephalic (IT) neuron connectivity using MICrONS EM dataset