
Sold by: Allen Institute
Open data
|
Deployed on AWS
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.
Overview
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.
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
- Database files used by aisynphys package
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::allen-synphys
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://allen-synphys/
Resources
Vendor resources
Support
Managed By
How to cite
Allen Institute for Brain Science - Synaptic Physiology Public Data Set was accessed on DATE from https://registry.opendata.aws/allen-synphys .
Similar products

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.

The Allen Mouse Brain Atlas is a genome-scale collection of cellular resolution gene expression profiles using in situ hybridization (ISH). Highly methodical data production methods and comprehensive anatomical coverage via dense, uniformly spaced sampling facilitate data consistency and comparability across >20,000 genes. The use of an inbred mouse strain with minimal animal-to-animal variance allows one to treat the brain essentially as a complex but highly reproducible three-dimensional tissue array. The entire Allen Mouse Brain Atlas dataset and associated tools are available through an unrestricted web-based viewing application (http://mouse.brain-map.org). The collection of > 650,000 images have been made available in this Open Data bucket to enable efficient access and analysis of the this dataset.

The Blue Brain Open Data represents an extensive neuroscience dataset encompassing a diverse range of data types, including experimental, model, and simulation data, along with images and videos depicting reconstructed neurons and brain regions.
![Allen Institute for Neural Dynamics - Extracellular Electrophysiolo[...]](https://d1ewbp317vsrbd.cloudfront.net/eeb60d0c-b4f5-4d08-9c14-0e742ca1c19f.png)
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.