Beech Leaf Disease Foliar Spectra and Nematode Density Data

A 10.9 MB dataset on figshare contains near-infrared reflectance spectroscopy data, nematode quantification, and microbial community profiles for American beech leaves affected by beech leaf disease. Author Andrew Miles published the data under a CC-BY-4.0 license, with a last update timestamp of 2026-05-08 15:34:47. The data compares three distinct tissue phenotypes from infected trees: asymptomatic tissues of asymptomatic leaves, asymptomatic tissues of symptomatic leaves, and symptomatic (galled) tissues.

Use Cases

• Predict nematode abundance based on near-infrared spectral profiles described in the study.
• Assess bacterial community dysbiosis in plant leaves using spectral data as a proxy.
• Discriminate between asymptomatic and symptomatic leaf tissues using machine learning models on spectral data.
• Investigate associations between specific bacterial taxa (e.g., Pseudomonas, Wolbachia) and nematode infection levels.

Strengths

• Dataset integrates three distinct data modalities: molecular diagnostics for nematodes, microbial community profiling, and NIR spectroscopy.
• Focuses on three clearly defined tissue phenotypes (AA, AS, GS) allowing for comparative analysis.
• Published under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The primary data file is a DOCX document, which may require extraction and formatting before analysis.

Provenance

Source

figshare, uploaded by author Andrew Miles.

Collection Method

Data was gathered through molecular diagnostics for nematode quantification, bacterial and fungal foliar microbial community profiling, and NIR reflectance spectroscopy on leaf samples.

Freshness

Last updated 2026-05-08 15:34:47; freshness should be verified.

Geography

Likely eastern North America, given the focus on American beech and beech leaf disease in that region.