Nash and Relative Deviation Coefficients for Soil Quality at Four U.S. Sites

Khandakar Islam published a dataset containing calculated Nash Effective (E_f) and relative deviation (E_R) coefficients for soil quality indices. The data covers soil sites in Indiana, Alabama, and two locations in Ohio (Hoytville and Piketon). This 5.5 KB Excel file was last updated in April 2026.

Use Cases

• Compare the Nash Effective coefficient (E_f) values across the Indiana, Alabama, and Ohio sites to assess model performance.
• Analyze the relative deviation coefficient (E_R) to quantify error or variability in soil quality index calculations.
• Benchmark soil quality assessment methods using the provided E_f and E_R metrics for the four specific locations.

Strengths

• Data is openly licensed under CC-BY-4.0 for reuse.
• Provides calculated statistical coefficients (E_f, E_R) for direct analysis.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• The specific soil quality indices used to calculate E_f and E_R are not detailed.
• Row count and the number of calculated coefficients per site are unknown.

Provenance

Source

Khandakar Islam via figshare.

Collection Method

Coefficients were calculated for soil quality indices; exact calculation method is unspecified.

Time Range

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Freshness

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Geography

Soil sites in Indiana, Alabama, and Hoytville and Piketon in Ohio, USA.