Sold by: Allen Institute for Cell Science
Open data
|
Deployed on AWS
This bucket contains multiple datasets (as Quilt packages) created by the Allen Institute for Cell Science. The types of data included in this bucket are listed below:
1) Field of view or cropped images of cells
2) Segmentations of structures in the images (e.g., boundaries of cells, DNA, other intracellular structures, etc.)
3) Processed versions of the above images and segmentations
4) Machine learning predictions and labels of the data listed above
5) Models trained on the previously listed data
6) Additional supporting non-image data related to the above listed data types (e.g., gene expression data, whole genome sequencing data, features derived from the images or model predictions, metadata)
7) Simulation, analysis, and visualization data of in silico cell structures, cells, and cell populations
External funding:
The generation of some datasets was supported by the National Human Genome Research Institute of the National Institutes under Award Number UM1HG011593. The cont[...]
Overview
This bucket contains multiple datasets (as Quilt packages) created by the Allen Institute for Cell Science. The types of data included in this bucket are listed below:
- Field of view or cropped images of cells
- Segmentations of structures in the images (e.g., boundaries of cells, DNA, other intracellular structures, etc.)
- Processed versions of the above images and segmentations
- Machine learning predictions and labels of the data listed above
- Models trained on the previously listed data
- Additional supporting non-image data related to the above listed data types (e.g., gene expression data, whole genome sequencing data, features derived from the images or model predictions, metadata)
- Simulation, analysis, and visualization data of in silico cell structures, cells, and cell populations
External funding:
The generation of some datasets was supported by the National Human Genome Research Institute of the National Institutes under Award Number UM1HG011593. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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
- Data files in a public bucket
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::allencell
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://allencell/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Allen Cell Imaging Collections was accessed on DATE from https://registry.opendata.aws/allen-cell-imaging-collections .
Similar products
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.
As the single largest provider of AI services to the US federal government, Booz Allen has worked closely with government agencies and businesses to build and deploy machine learning systems that are secure and trustworthy. Booz Allen’s AI Security Risk Assessment can help your organization identify and implement practices that deliver mission advantage while thwarting adversarial attacks
![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.
![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.