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Discovered Exoplanets Dataset
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About
This dataset presents a catalogue of known exoplanets discovered up to 2021. It includes details about exoplanets detected using various methods, with many having been observed through multiple detection techniques. The data was sourced from the NASA Exoplanet Archive, serving as a central resource for exoplanet research and study.
Columns
- No.: A sequential identification number for each record.
- Planet Name: The official name of the exoplanet, with 4575 unique entries.
- Planet Host: The star or celestial body that the exoplanet orbits, featuring 3392 unique host names, with KOI-351 being the most common.
- Num Stars: The number of stars in the host system, typically ranging from 1 to 4.
- Num Planets: The number of planets known to orbit the host star, ranging from 1 to 8.
- Discovery Method: The primary technique used to discover the exoplanet, with 'Transit' being the most frequent (75%) and 'Radial Velocity' accounting for 20% of discoveries. There are 11 unique methods recorded.
- Discovery Year: The year in which the exoplanet was discovered, spanning from 1989 to 2021.
- Discovery Facility: The observatory or project responsible for the discovery. Kepler (53%) and K2 (10%) are the most common facilities among 63 unique entries.
- Orbital Period Days: The time it takes for the exoplanet to complete one orbit around its host star, measured in days. Data is available for 96% of entries.
- Orbit Semi-Major Axis: The semi-major axis of the exoplanet's orbit, indicating its average distance from the host star. Data is available for 60% of entries.
- Mass: The mass of the exoplanet. This information is available for 44% of the entries.
- Eccentricity: A measure of how elliptical the exoplanet's orbit is, ranging from 0 (perfectly circular) to nearly 1 (highly elliptical). Data is available for 37% of entries.
- Insolation Flux: The amount of stellar radiation received by the exoplanet. This data is available for 8% of entries.
- Equilibrium Temperature: The calculated equilibrium temperature of the exoplanet. This information is available for 20% of entries.
- Spectral Type: The spectral classification of the host star. This data is available for 20% of entries.
- Stellar Effective Temperature: The effective temperature of the host star. This is available for 92% of entries.
- Stellar Radius: The physical radius of the host star. Data is available for 90% of entries.
- Stellar Mass: The mass of the host star. This is available for 84% of entries.
- Stellar Metallicity: The metallicity of the host star, indicating the abundance of elements heavier than hydrogen and helium. Data is available for 70% of entries.
- Stellar Metallicity Ratio: The specific ratio used to measure stellar metallicity, with '[Fe/H]' being the most common (66%). This is available for 70% of entries.
- Stellar Surface Gravity: The surface gravity of the host star. Data is available for 87% of entries.
- Distance: The distance to the exoplanetary system from Earth, measured in parsecs (pc). This is available for 98% of entries.
- Gaia Magnitude: The apparent magnitude of the host star as measured by the Gaia mission. This is available for 96% of entries.
Distribution
The dataset is provided in a tabular format, specifically as a CSV file (
all_exoplanets_2021.csv). It has a file size of 572.93 kB and contains 4575 unique records spread across 23 distinct columns.Usage
This dataset is ideal for astronomical research, planetary science studies, and educational purposes related to exoplanets. It can be used for analysing trends in exoplanet discovery, studying planetary characteristics and host star properties, and developing models for exoplanet detection and characterisation. It also supports investigations into planetary habitability and the diversity of exoplanetary systems.
Coverage
The dataset covers all exoplanets discovered globally up to the year 2021, with discovery years ranging from 1989 onwards. While it aims to include all known exoplanets, it is important to note that many columns contain missing values, reflecting the varying availability of specific observational data for different exoplanets.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Astronomers and Planetary Scientists: For in-depth research on exoplanet properties, formation, and evolution.
- Data Scientists and Researchers: To build predictive models for exoplanet detection or classification, or to conduct statistical analyses of exoplanet populations.
- Educators and Students: As a valuable resource for learning about exoplanets, space exploration, and observational astronomy.
- Astrophysicists: To study stellar properties in relation to exoplanet characteristics.
Dataset Name Suggestions
- Exoplanet Discoveries Catalogue (2021)
- NASA Exoplanet Archive Snapshot
- Global Exoplanet Data (2021)
- Discovered Exoplanets Dataset
- Exoplanet Census 2021
Attributes
Original Data Source: Discovered Exoplanets Dataset
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