Harvard Dataverse hosts compiled Solar System and exoplanet data supporting an empirical mass–radius scaling and classification framework. Author Mario Menichella created the dataset, which includes Python scripts for analysis and figure generation. The data was last updated on May 6, 2026.
Use Cases
- Empirical modeling of planetary mass-radius relationships based on compiled Solar System and exoplanet data.
- Classification of exoplanets into structural categories using the described scaling framework.
- Reproducing analysis and figures from the associated study using the provided Python scripts.
Strengths
- Includes Python scripts for analysis and figure generation, supporting reproducibility.
- Dataset is compiled to support a specific empirical framework for mass–radius scaling.
- Last updated on May 6, 2026, indicating recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Compiled data from Solar System and exoplanet observations, likely from published sources.
- Time Range
- null
- Freshness
- Last updated 2026-05-06 21:17:19
- Geography
- null