Astro: Stellar Classification Dataset from Sloan Digital Sky Survey Release 17

100,000 observations of celestial objects from the Sloan Digital Sky Survey (SDSS) Data Release 17. The dataset, authored by Allanatrix and last updated in June 2025, contains spectral characteristics for classifying stars, galaxies, and quasars.

Use Cases

• Classify celestial objects (stars, galaxies, quasars) based on spectral characteristics mentioned in the description
• Train machine learning models for astronomical object identification using spectral data
• Conduct exploratory data analysis on the distribution of stellar types from a large-scale sky survey

Strengths

• Contains 100,000 observations, providing a substantial sample for analysis
• Derived from the authoritative Sloan Digital Sky Survey (SDSS) Data Release 17

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is known but other scale details like file size and formats are unknown

Provenance

Source

Sloan Digital Sky Survey (SDSS) Data Release 17

Collection Method

Observations captured through spectral characteristics

Time Range

Coverage implied by SDSS Data Release 17, but specific range not stated

Freshness

Last updated 2025-06-16 22:11:35

Geography

Celestial observations, spatial coverage not specified