Fungal-Bacterial Microbial Index for Predicting Soil Health

A novel approach for predicting soil health using bacterial and fungal community profiles in combination with conventional soil indicators. The dataset was authored by the University of Hawaii and last updated on May 22, 2026.

Use Cases

• Predict soil health scores based on microbial community profiles.
• Compare the predictive power of fungal versus bacterial indicators.
• Validate novel soil health indices against conventional soil indicators.
• Train machine learning models for soil quality assessment.

Strengths

• The dataset introduces a novel microbial index combining bacterial and fungal profiles.
• It integrates microbial community data with conventional soil indicators.
• The dataset is authored by a research institution, the University of Hawaii.

Limitations

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

Provenance

Source

University of Hawaii

Freshness

Last updated 2026-05-22 03:16:53; freshness should be verified.