SDSS-ML: Sloan Digital Sky Survey Data for Machine Learning
Available on 1 platform
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Description
Published on Kaggle, this dataset appears to contain data from the Sloan Digital Sky Survey (SDSS). The specific time range, volume, and original author are unknown from the provided input. Columns and sample data are unavailable, limiting detailed assessment.
Use Cases
Classify astronomical objects (e.g., stars, galaxies, quasars) based on photometric features (inferred from domain, verify after download)
Predict redshift values for galaxies using photometric data (inferred from domain, verify after download)
Identify rare or anomalous objects within large-scale sky survey catalogs (inferred from domain, verify after download)
Strengths
Published on Kaggle, a platform with established data sharing and community features.
Limitations
Metadata is minimal; actual content requires verification after download.
Row count, column definitions, and sample data are unknown, which limits suitability assessment.
License and authorship details are unavailable, complicating reuse considerations.
Provenance
Source
Sloan Digital Sky Survey (SDSS)
License is unknown; users must verify terms of use before applying the data.