
Overview
The SOHO/LASCO data set (prepared for the challenge hosted in Topcoder) provided here comes from the instrument’s C2 telescope and comprises approximately 36,000 images spread across 2,950 comet observations. The human eye is a very sensitive tool and it is the only tool currently used to reliably detect new comets in SOHO data - particularly comets that are very faint and embedded in the instrument background noise. Bright comets can be easily detected in the LASCO data by relatively simple automated algorithms, but the majority of comets observed by the instrument are extremely faint, noise-level observations. Comets in SOHO/LASCO data are dynamic and morphologically diverse objects, and thus computationally highly complex to detect and track.
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This is a publicly available data set. No subscription is required.
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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
- AI/ML ready data set created using NASA/SOHO/LASCO2 archive data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nasa-comets-training-data
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nasa-comets-training-data/
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NASA SOHO/LASCO2 comet challenge on AWS was accessed on DATE from https://registry.opendata.aws/nasa-soho-comet-challenge-on-aws .
License
There are no restrictions on the use of this data.
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