Sold by: NASA
Open data
|
Deployed on AWS
NASA missions like the Curiosity and Perseverance rovers carry a rich array of instruments suited to collect data and build evidence towards answering if Mars ever had livable environmental conditions. These rovers can collect rock and soil samples and can take measurements that can be used to determine their chemical makeup. <br/><br/>
Because communication between rovers and Earth is severely constrained, with limited transfer rates and short daily communication windows, scientists have a limited time to analyze the data and make difficult inferences about the chemistry in order to prioritize the next operations and send those instructions back to the rover. <br/><br/>
This project aimed at building a model to automatically analyze evolved gas analysis mass spectrometry (EGA-MS) data collected for Mars exploration in order to help the scientists in their analysis of understanding the past habitability of Mars. <br/><br/>
More information are available at https://mars.nasa.gov/ms[...]
Overview
NASA missions like the Curiosity and Perseverance rovers carry a rich array of instruments suited to collect data and build evidence towards answering if Mars ever had livable environmental conditions. These rovers can collect rock and soil samples and can take measurements that can be used to determine their chemical makeup.
Because communication between rovers and Earth is severely constrained, with limited transfer rates and short daily communication windows, scientists have a limited time to analyze the data and make difficult inferences about the chemistry in order to prioritize the next operations and send those instructions back to the rover.
This project aimed at building a model to automatically analyze evolved gas analysis mass spectrometry (EGA-MS) data collected for Mars exploration in order to help the scientists in their analysis of understanding the past habitability of Mars.
More information are available at https://mars.nasa.gov/msl/spacecraft/instruments/sam/ and the data from Mars are available and described at https://pds-geosciences.wustl.edu/missions/msl/sam.htm .
We request that you cite the following ackowledgement when using the data provided from this NASA Project: "NASA provided support for the development of SAM. The datasets for these 2 challenges were provided by NASA Goddard Space Flight Center and NASA Johnson Space Center. They have been collected by the Sample Analysis at Mars (SAM) scientists and specifically processed for these challenges with the help of the scientists from NASA: Doug Archer, Charles Malespin, Caroline Freissinet, Stephanie Getty, Luoth Chou, Eric Lyness, and Victoria Da Poian, and the DrivenData team. Data from all SAM experiments are archived in the Planetary Data System (pds.nasa.gov)."
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
- EGAMS SAM Instrument Exploration Dataset
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::egams-samdata-mlchallenge
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://egams-samdata-mlchallenge/
Resources
Vendor resources
Support
Managed By
NASA
How to cite
Mars Spectrometry: Detect Evidence for Past Habitability was accessed on DATE from https://registry.opendata.aws/nasa-ega .
License
There are no restrictions on the use, access, and/or download of data from the NASA project.
Similar products
Mars is an AI-driven threat hunting platform that operationalizes real-world threat intelligence into continuous, campaign-focused detection and hunting across the entire security stack. It ingests and deconstructs global threat intelligence, maps adversary TTPs to an organization's specific environment, and automatically generates, validates, and deploys detections and hunts across SIEM, EDR, identity, cloud, SaaS, and data lakes - without moving data.
* For private offer, please contact: sales@marssec.ai *
This product has charges associated with it for seller support. MySQL on Ubuntu 22.04 LTS provides a robust and reliable relational database management system optimized for performance and ease of use in cloud environments. This AMI comes pre-configured with MySQL, allowing developers to quickly deploy applications with a powerful backend database. Benefit from seamless integration with other AWS services, robust security features, and high availability configurations. Ideal for web applications, data analytics, and enterprise solutions, this AMI supports scalability and flexibility, allowing you to tailor resources according to your project requirements. Leverage this powerful platform to streamline your database management and improve application performance while enjoying the convenience of 24/7 seller support.
Maximize your enterprise's use of AWS cloud services through our FinOps services, professionally analyze your cost expenditures using the cloud, optimize resources and costs, and easily expand. Let us make your journey to the cloud enjoyable and worry-free.
This product has charges associated with it for seller support. Experience seamless database management with the MariaDB on CentOS 10 AMI, optimized for performance and reliability in the AWS EC2 cloud environment. This pre-configured AMI provides a robust open-source database solution, ensuring high availability and scalability for your applications. Ideal for both small-scale projects and enterprise-level deployments, it supports advanced features such as replication, clustering, and enhanced security protocols. Utilizing CentOS 10, it takes advantage of the latest kernel optimizations and system libraries for superior stability. Easily integrate with various programming languages and frameworks while benefiting from comprehensive support and community resources. Deploy your MariaDB instance effortlessly and streamline your data-driven applications in the cloud.