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RadLab and the Environmental Data Application Dashboard: Graphical and Programming Interfaces for Interrogation of Space Telemetry DataSensors on the International Space Station (ISS) and multiple spacecraft elsewhere in Earth orbit and in deep space continuously monitor and collect environmental data, transmitting this information back to Earth. These data include ionizing radiation and, on the ISS, CO2, relative humidity levels, and temperature, and are of great importance to space biology research. Ionizing radiation in particular has been established in ground-based experiments as being correlated with increased risk of carcinogenesis and cardiovascular and neurological effects. Looking ahead to future long duration crewed missions beyond low Earth orbit, the ability to study how factors including CO2 levels, light cycle, temperature modulate the response to ionizing radiation and microgravity is essential. To date, access to these data has been fragmented across space agencies, spacecraft, and databases. To address this issue, NASA’s Open Science Data Repository (osdr.nasa.gov) has developed two Web applications: the Environmental Data Application (EDA) and a radiation-specific RadLab. Each consists of an API (application programming interface) and an associated GUI (graphical user interface) that provide single points of access to the data. To date, OSDR has focused on the sensors from payloads and radiation detectors located on the ISS. The Web applications process telemetry information and associated data, such as spacecraft location and orientation, from multiple international databases. The applications’ request syntax enables users to interrogate these data by craft, sensor type, time range, radiation type (galactic cosmic rays, solar particle events, the contribution of the South Atlantic Anomaly), facilitating arbitrary comparisons of original source data at varying time resolutions. The applications provide programmatic access for use in computational pipelines and GUIs for data visualization and exploration, making these data FAIR (Findable, Accessible, Interoperable, and Reusable), complementing the biological data contained in OSDR, and providing the space science community with a valuable resource for scientific analyses.
Document ID
20230009560
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Kirill Grigorev
(Blue Marble Space)
Ana Uriarte Acuna
(Wyle (United States) El Segundo, California, United States)
Lauren M Sanders
(Blue Marble Space Seattle, Washington, United States)
Danielle K Lopez
(Wyle (United States) El Segundo, California, United States)
Ryan T Scott
(Wyle (United States) El Segundo, California, United States)
Samrawit G Gebre
(Ames Research Center Mountain View, California, United States)
Jack Miller
(Wyle (United States) El Segundo, California, United States)
Livio Narici
(University of Rome Tor Vergata Rome, Lazio, Italy)
Sylvain V Costes
(Ames Research Center Mountain View, California, United States)
Date Acquired
June 27, 2023
Subject Category
Life Sciences (General)
Meeting Information
Meeting: Annual Meeting of the American Society for Gravitational and Space Research
Location: Washington, DC
Country: US
Start Date: November 14, 2023
End Date: November 18, 2023
Sponsors: American Society for Gravitational and Space Research
Funding Number(s)
WBS: 719125.06.01.02.01.02
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
radiation
omics
environmental
visualization
space
ISS

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