NIRS Spectral Data for Pine and Oak Wood Species Identification

Near-infrared spectroscopy data collected for a PhD thesis on wood identification. The dataset includes spectral readings for four species: Pinus sylvestris, Pinus nigra, Quercus frainetto, and Quercus petraea. It was created by author Fatma Tuncer and is available via the Open Access (green) license.

Use Cases

• Train machine learning models for wood species identification based on NIRS spectral signatures.
• Perform chemometric analysis to distinguish between pine and oak wood types.
• Benchmark spectral classification algorithms using a focused botanical dataset.

Strengths

• Data originates from a formal PhD thesis, suggesting a structured research context.
• Covers four distinct wood species, enabling comparative analysis.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Fatma Tuncer's PhD thesis, 'Utilization of near infrared spectroscopy in wood identification'.

Collection Method

Likely collected via near-infrared spectroscopy instruments on wood samples.