SDSS-16 Sloan Digital Sky Survey Data Release

SDSS-16 is a dataset from the Sloan Digital Sky Survey, a major astronomical imaging and spectroscopic survey. The dataset contains observational data on celestial objects, likely including stars, galaxies, and quasars. It is published by the SDSS collaboration, though the specific release date for this version is not provided.

Use Cases

• Classify object types (e.g., star, galaxy, quasar) using photometric features like magnitudes and colors.
• Predict redshift values from spectral line features for cosmological distance measurements.
• Perform anomaly detection to identify rare celestial objects based on deviations in spectral or photometric properties.
• Train regression models to estimate stellar parameters like temperature or metallicity from spectral data.

Strengths

• Data originates from the Sloan Digital Sky Survey, a major and well-documented astronomical project.
• Standardized data collection from dedicated telescopes ensures consistent measurement protocols.

Limitations

• Specific row count, column details, and data completeness for this release are unknown.
• The temporal coverage and specific data release version are not specified, which may affect reproducibility.

Provenance

Source

Sloan Digital Sky Survey (SDSS) collaboration.

Collection Method

Astronomical imaging and spectroscopy from ground-based telescopes.

Geography

Observations cover large portions of the night sky from the Apache Point Observatory.