Borehole validation dataset for a fuzzy logic-AHP groundwater potential model, Minna Basement Complex, north-central Nigeria
Year: 2026
Type: dataset
Abstract: Independent validation data for a GIS-based fuzzy logic-AHP groundwater potential model of the Minna area, Niger State, Nigeria. The dataset records 103 boreholes with documented yield outcomes (69 productive, 34 non-productive), together with the composite groundwater potential index and the value of each of the seven model criteria sampled at every borehole location. The boreholes were withheld entirely from model construction, so the dataset constitutes an independent test of both the model and its expert-assigned weights. Criteria sampled at each site are composite lineament density, Source Parameter Imaging depth to magnetic basement, geomorphon landform class, slope, drainage density, lithology and land use/land cover. Coordinates are supplied in WGS84 decimal degrees and in UTM Zone 32N. A README gives full column definitions, units, class-code tables and provenance. An accompanying Python script reproduces every validation statistic reported in the associated article from the CSV alone, including ROC analysis with bootstrap confidence intervals, criterion-level rank correlations with multiple-comparison correction, a permutation test of the landform association, and per-zone success rates.
Source: Mendeley Data
DOI: 10.17632/f7stkx3tz4
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7224415545