Soil Model Fit Statistics for Iron, Salinity, Temperature, and Moisture Effects

Fit statistics for a final model predicting the effects of soil iron content, salinity, temperature, and moisture levels. The dataset includes indicators for statistical significance at α = 0.05. Authored by Kanokporn Chaianunporn and last updated on 2026-05-18.

Use Cases

• Validate predictive models based on soil iron content, salinity, temperature, and moisture.
• Assess the statistical significance of environmental factor interactions in soil science.
• Benchmark new soil property models against the reported fit statistics.

Strengths

• Model fit statistics are explicitly tied to four key soil variables: iron content, salinity, temperature, and moisture.
• Statistical significance is clearly indicated at a defined threshold of α = 0.05.
• Available under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 5.5 KB size suggests a very limited scope, likely containing only summary statistics.

Provenance

Source

figshare

Freshness

Last updated 2026-05-18 17:44:05; freshness should be verified.