Anatomical and Mechanical Test Data for Ghanaian Timber Species Authentication

A 21.5 KB dataset from figshare employs macroscopic and microscopic anatomical analyses and mechanical properties tests to authenticate timber species sold in Ghanaian markets. The data, created by Kwadwo Boakye Boadu and last updated in May 2026, focuses on verifying species sold as premium Odum, Dahoma, and Sapele. This work addresses timber misrepresentation, which threatens trade transparency and structural integrity.

Use Cases

• Train species classification models based on anatomical features described in the study.
• Analyze correlations between wood anatomy and mechanical properties for quality assessment.
• Develop verification tools to combat timber species substitution in local markets.
• Support sustainable forest management policy with empirical data on species misrepresentation.

Strengths

• Data is openly licensed under CC-BY-4.0.
• Focuses on three specific high-value timber species (Odum, Dahoma, Sapele) with clear scientific names.
• Employs multiple verification methods (anatomical and mechanical tests) as described.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 21.5 KB, indicating a limited scope.

Provenance

Source

Kwadwo Boakye Boadu via figshare.

Collection Method

Data likely gathered through laboratory-based macroscopic and microscopic anatomical analyses and mechanical properties tests.

Freshness

Last updated 2026-05-20 10:39:20; freshness should be verified.

Geography

Data collection appears focused on timber sold in local markets in Ghana.