58.7 KB of CSV data quantifying temporal trends in baseflow across the contiguous United States. The dataset was created by Ali R. Al-Aizari using the robust Sen slope estimator and Mann-Kendall test for significance, with computations performed in R via the 'modifiedmk' package.
Use Cases
- Identify significant trends in baseflow based on p-value classifications
- Compare regional groundwater dependence across the contiguous United States
- Apply the Sen slope estimator methodology for outlier-resistant trend analysis
- Validate hydrological models using statistically significant trend data
Strengths
- Trends are quantified using the robust Sen slope estimator, which is resilient to outliers
- Statistical significance is evaluated using the Mann-Kendall test with a defined p-value threshold (<0.05)
- All computations were performed using a specific, documented R package ('modifiedmk')
Limitations
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download
- The 58.7 KB size suggests a limited scope or aggregated summary data
Provenance
- Source
- figshare
- Collection Method
- Trends quantified using Sen slope estimator and Mann-Kendall test in R.
- Freshness
- Last updated 2026-04-10 10:27:31
- Geography
- Contiguous United States