Cabezas et al. 2026: Molecular Sciences Research Data

Cabezas et al. 2026 datasets published on figshare in June 2026. The collection includes 2.7 MB of data files in DOCX, XLTX, and XLSX formats. Author Alejandra Moenne released the data under a CC-BY-4.0 license.

Use Cases

• Analyze experimental results based on the molecular sciences research described
• Validate statistical findings based on the tabular data likely contained in the Excel files
• Reproduce study figures based on the raw data files provided

Strengths

• Data is openly licensed under CC-BY-4.0, facilitating reuse.
• Files are available in multiple formats (DOCX, XLTX, XLSX), offering flexibility.
• The dataset is associated with a published journal article (International Journal of Molecular Sciences), suggesting academic rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare