
Sold by: NASA
Open data
|
Deployed on AWS
Fluorescence microscopy images of individual nuclei from mouse fibroblast cells, irradiated with Fe particles or X-rays with fluorescent foci indicating 53BP1 positivity, a marker of DNA damage. These are maximum intensity projections of 9-layer microscopy Z-stacks.
Overview
Fluorescence microscopy images of individual nuclei from mouse fibroblast cells, irradiated with Fe particles or X-rays with fluorescent foci indicating 53BP1 positivity, a marker of DNA damage. These are maximum intensity projections of 9-layer microscopy Z-stacks.
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
- NASA BPS Microscopy Benchmark Training Data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nasa-bps-training-data/Microscopy/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nasa-bps-training-data/Microscopy//
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Biological and Physical Sciences (BPS) Microscopy Benchmark Training Dataset was accessed on DATE from https://registry.opendata.aws/bps_microscopy .
License
There are no restrictions on the use of this data.
Similar products
![Biological and Physical Sciences (BPS) RNA Sequencing Benchmark Tra[...]](https://d1ewbp317vsrbd.cloudfront.net/2cd74cf0-dd03-469d-ad27-8bb4dd498f6c.png)
RNA sequencing data from spaceflown and control mouse liver samples, sourced from NASA GeneLab and augmented with generative adversarial network.

This data ecosystem, Brain Observatory Storage Service & Database (BossDB), contains several neuro-imaging datasets across multiple modalities and scales, ranging from nanoscale (electron microscopy), to microscale (cleared lightsheet microscopy and array tomography), and mesoscale (structural and functional magnetic resonance imaging). Additionally, many of the datasets include dense segmentation and meshes.

This dataset includes data and models relevant to benchmarking multimodal biological models. The data has been sourced and curated by a team of experts at Biohub and is provided as part of these datasets only when it is not publicly available or requires transformation to support effective model benchmarking.

The “Cryo-EM SPA Workflow Records” contains all outputs of all processing steps involved in cryogenic electron microscopy (cryo-EM) single particle analysis (SPA), including both intermediate and final output data. The primary focus will be on data generated by RELION and CryoSPARC, two widely used software packages for :Cryo-EM SPA. These records will be archived systematically. To ensure the data remains reproducible while minimizing storage demands, large-sized files that can be regenerated will be excluded prior to registration. The aim is to retain only the essential metadata, processing parameters, and representative outputs that allow for full reconstruction of the analysis pipeline. This approach balances the need for long-term data preservation with practical considerations for storage capacity. Through this effort, we seek to enhance transparency and reproducibility in cryo-EM research by providing a structured and accessible record of the analysis process. Importantly, [...]