Fictional Exoplanets Database for Bayesian Network (thesis data)
收藏DataCite Commons2024-08-08 更新2025-04-17 收录
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https://research-portal.st-andrews.ac.uk/en/datasets/fictional-exoplanets-database-for-bayesian-network-thesis-data(64ce9540-7c2b-4794-ace3-5d10b8f0d91c).html
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资源简介:
A collection of 212 fictional exoplanets from works of science fiction across various forms of media, gathered with the assistance of a crowdsourced form. For each exoplanet, the planet name, work of fiction it first appeared in, and year it first appeared are included as metadata. The variables for Bayesian network analysis are as follows:
1 – AfterDiscovery: Whether the planet first appeared in fiction before (0) or after (1) the discovery of real-life exoplanets around sun-like stars in 1995.
2 – HabZone: Whether the planet is shown to be in the liquid-water habitable zone (1) or outside it (0).
3 – RealStar: Whether the planet is portrayed as being part of a real star system (1) or not (0).
4 – Life: Whether the planet is home to native life (1) or not (0).
5 – Intelligent: Whether the planet is home to intelligent native life (1) or not (0).
6 – HumansBreathe: Whether human characters can breathe the planet’s atmosphere without assistance or ill effect (1) or not (0).
7 – MediaType: Whether the planet originally appeared in a film (0), a book (1), a TV show (2), a video game (3), or a podcast (4).
8 – IsGas: Whether the planet is Earth-like and rocky/terrestrial (0) or Jupiter-like and gaseous (1). This simplifies the broader range of discovered exoplanets, classifying Super-Earths with terrestrial and sub-Neptunes with gaseous.
9 – EstNonNativeHumans: Whether the planet has been colonised by an established population of non-native humans who have been there for hundreds or thousands of years (1) or not (0).
提供机构:
University of St Andrews
创建时间:
2024-08-08



