Cristian R. Munteanu's dataset relates carbon nanotube Raman spectra and Shannon entropies to mitochondrial oxygen consumption. The dataset is associated with Quantitative Structure-Activity Relationship (QSAR) regression models. It is available via the paperswithcode platform under an Open Access license.
Use Cases
- Predict mitochondrial oxygen consumption based on carbon nanotube Raman spectral features.
- Train regression models using Shannon entropy descriptors derived from Raman spectra.
- Perform QSAR analysis for carbon nanotube properties related to biological activity.
Strengths
- Dataset is associated with specific regression models for a defined biological endpoint.
- Focuses on a niche application combining nanomaterials (carbon nanotubes) and mitochondrial biology.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Cristian R. Munteanu via paperswithcode