A 22.4 KB Excel dataset by Vojtěch Polách, last updated April 2026, presents research on glomalin-related soil protein (GRSP) accumulation. The study evaluates how soil chemical properties and type influence GRSP across diverse soils in the Czech Republic under conventional management. Findings show GRSP correlates positively with soil organic carbon and the humic-to-fulvic acid ratio across all soil types.
Use Cases
- Modeling GRSP prediction based on calcium content and cation exchange capacity (CEC) relationships described in the study.
- Analyzing nonlinear relationships between GRSP and soil pH, CEC, and calcium across different soil type groups.
- Investigating the influence of climatic regions (moderately warm vs. very warm) on GRSP correlations with soil chemistry.
- Estimating soil aggregation potential and quality using combined linear and nonlinear predictors of GRSP accumulation.
Strengths
- Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
- Research includes specific prediction accuracy metrics: 43% for calcium, 37% for CEC, 26% for HA/FA ratio, and 10% for SOC.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small (22.4 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Research study evaluating soil chemical properties and soil type influence on GRSP accumulation.
- Time Range
- null
- Freshness
- Last updated 2026-04-23 06:16:38; freshness should be verified.
- Geography
- Czech Republic