Reciprocal Sentinel Tree Foliar Fungal Pathogen Data Across Three Continents

Isabel Alvarez Munck's dataset from 2026 examines foliar fungal pathogen communities in reciprocal international sentinel tree plantings. The data, collected via High Throughput Sequencing, reveals high frequencies of cryptic pathogens in asymptomatic plants across three continents. Geographic location, tree species, and seasonality were key predictors of community structure.

Use Cases

• Modeling fungal community structure based on geographic location and tree species mentioned in the description
• Comparing pathogen detection rates between High Throughput Sequencing and classical isolation methods as described
• Analyzing seasonal variation in pathogen assemblages referenced in the study
• Identifying latent or epiphytic colonization patterns in asymptomatic plant samples discussed in the findings

Strengths

• Data is derived from a multi-continent reciprocal sentinel planting network described in the study
• Analysis includes comparison of High Throughput Sequencing with classical diagnostic methods
• Dataset is licensed under CC-BY-4.0, allowing for broad reuse

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is small in scale at 198.1 KB, indicating limited data volume

Provenance

Source

Isabel Alvarez Munck

Collection Method

High Throughput Sequencing of foliar samples from reciprocal ex patria sentinel plantings

Freshness

Last updated 2026-05-05 05:29:00; freshness should be verified

Geography

Samples collected across three continents