Shuttle Agent Attributes: Simulated Astronaut Data for Lunar Missions

Agent attributes for a simulation of astronaut interactions in future lunar missions. The dataset was created by Raymond Vera and published on figshare under a CC-BY-4.0 license, with a last update recorded for May 2026. It is a small dataset, 5.5 KB in size, stored in an XLS file format.

Use Cases

• Simulating long-term psychological well-being and team dynamics based on modeled cognitive and emotional states.
• Evaluating operational resilience and mission outcomes by modeling interactions between astronauts and their environment.
• Analyzing trade-offs between crew productivity and psychological health using Monte Carlo simulation results.

Strengths

• Data is based on literature from proxy environments like Antarctica and past space missions, aiming for a 'highly probable representation'.
• The model framework includes specific agent attributes like cognitive skills, emotional states, and personality traits.
• Dataset is openly licensed under CC-BY-4.0, permitting reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB file size suggests a very limited scope, likely containing model parameters or summary results rather than extensive simulation data.

Provenance

Source

Raymond Vera via figshare.

Collection Method

Created for an agent-based model (ABM) simulating social interactions for the Artemis program.

Freshness

Last updated 2026-05-27 17:24:08; freshness should be verified.

Geography

Simulated lunar environment (e.g., Lunar Gateway, Lunar South Pole Base).