Ogechi Nnabuchi Ugbor's dataset investigates the influence of landscape patterns on water quality across the Lower Niger River Basin, Nigeria, contributing to Sustainable Development Goal 6. The data includes land use composition and configuration metrics quantified within 5 km and 10 km buffer zones, linked to water quality parameters like biochemical oxygen demand and nitrite. The dataset was last updated on 2026-05 14 and is available as CSV and XLSX files totaling 16.3 KB.
Use Cases
- Modeling the relationship between cropland fragmentation and biochemical oxygen demand (BOD) based on multi-scale spatial analysis.
- Analyzing the localized impact of urban built-up patch density on total dissolved solids (TDS) at the 5 km scale.
- Assessing the buffering capacity of forest cover on water quality based on landscape configuration metrics.
- Supporting evidence-based watershed management strategies for SDG 6 based on scale-dependent effects of agriculture and urban expansion.
Strengths
- Data is explicitly linked to Sustainable Development Goal 6 (Clean Water and Sanitation).
- Analysis is conducted at two distinct spatial scales (5 km and 10 km buffer zones).
- Dataset is openly licensed under CC-BY-4.0.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Dataset size is 16.3 KB, indicating a very limited scope.
Provenance
- Source
- figshare, author Ogechi Nnabuchi Ugbor
- Collection Method
- Multi-scale spatial analysis using stepwise multiple linear regression on land use and water quality data.
- Time Range
- null
- Freshness
- Last updated 2026-05-14 08:30:41; freshness should be verified.
- Geography
- Lower Niger River Basin, Nigeria