Datasets and Python source code used to generate all tables, classifications, and figures for the paper "A Two-Parameter Selection Rule for LENR Host Materials: Geometric Mass Proximity and d-Band Occupancy". The repository includes the full 83-element dataset, verification tables, and figure-generation scripts. It was authored by Mario Menichella and hosted on Harvard Dataverse, last updated on 2026-05-14.
Use Cases
- Reproducing the paper's analysis based on the full 83-element dataset
- Applying the two-parameter selection rule to new materials based on the provided geometric mass proximity and d-band occupancy features
- Verifying the paper's classification results using the included verification tables
- Generating custom visualizations using the provided figure-generation scripts
Strengths
- Includes the full 83-element dataset referenced in the paper
- Provides Python source code for reproducing all tables and figures
- Contains verification tables for validating the paper's classifications
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Created as supplementary material for the associated research paper
- Freshness
- Last updated 2026-05-14 18:47:49; freshness should be verified