
Sold by: NASA
Open data
|
Deployed on AWS
Hubble Space Telescope imaging data and associated identification labels for galaxy morphology derived from citizen scientist labels from the Galaxy Zoo: Hubble project.
Overview
Hubble Space Telescope imaging data and associated identification labels for galaxy morphology derived from citizen scientist labels from the Galaxy Zoo: Hubble project.
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 APD Galaxy Morphology dataset
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nasa-apd-galaxymorph
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nasa-apd-galaxymorph/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Astrophysics Division Galaxy Morphology Benchmark Dataset was accessed on DATE from https://registry.opendata.aws/apd_galaxymorph .
License
There are no restrictions on the use of this data.
Similar products

Pan-STARSS imaging data and associated labels for galaxy segmentation into galactic centers, galactic bars, spiral arms and foreground stars derived from citizen scientist labels from the Galaxy Zoo: 3D project.

NASA data for high energy astrophysics (generally x-ray and gamma-ray domains) is made available here by the High Energy Astrophysics Science Archive Research Center. The HEASARC hosts the full data archives of over 30 different missions spanning 50 years. The data archive for each mission will contain a range of data types from spacecraft housekeeping and raw photon event list data up to high level science-ready products such as images, light curves (time series), and energy spectra.
This is a relatively modest total data volume but contains significant complexity and heterogeneity among the different missions. Data provided here are stored in the Flexible Image Transport System (FITS) format common in astronomy. Higher level products are further defined to be consistent between missions following data model standards agreed by the community and m[...]

Dataset and benchmarks for computer vision research in the context of autonomous driving. The dataset has been recorded in and around the city of Karlsruhe, Germany using the mobile platform AnnieWay (VW station wagon) which has been equipped with several RGB and monochrome cameras, a Velodyne HDL 64 laser scanner as well as an accurate RTK corrected GPS/IMU localization unit. The dataset has been created for computer vision and machine learning research on stereo, optical flow, visual odometry, semantic segmentation, semantic instance segmentation, road segmentation, single image depth prediction, depth map completion, 2D and 3D object detection and object tracking. In addition, several raw data recordings are provided. The datasets are captured by driving around the mid-size city of Karlsruhe, in rural areas and on highways. Up to 15 cars and 30 pedestrians are visible per image.

This dataset provides genomic reference data and software packages for use with Galaxy and Bioconductor applications. The reference data is available for hundreds of reference genomes and has been formatted for use with a variety of tools. The available configuration files make this data easily incorporable with a local Galaxy server without additional data preparation. Additionally, Bioconductor's AnnotationHub and ExperimentHub data are provided for use via R packages through which the data can be downloaded and installed into any R environment.