Untreated Surface Water Pollutants and Microbes from Northeast India
by Gayatri Gogoi·Updated 1mo ago
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Description
Twenty-five water samples from Northeast India reveal elevated lead (0.9 mg/L) and selenium (0.45 mg/L) in residential areas, alongside 147 antibiotic resistance genes. The dataset includes geochemical, microbial, and exposome profiles from hospital, residential, and river sites, compiled by Gayatri Gogoi and published in 2026. Metagenomic sequencing identified dominant taxa like Limnohabitans (12.4%) in rivers, and LC-ESI-QTOF-MS detected 490 compounds including 30 carcinogens.
Use Cases
Analyze correlations between pollutant concentrations and microbial taxa based on reported r = 0.71 for Flavobacterium.
Compare geochemical profiles (e.g., total dissolved solids, turbidity) across different anthropogenic influence zones (hospital, residential, river).
Study the distribution of antibiotic resistance genes and potentially carcinogenic compounds in untreated surface water.
Apply One Health frameworks by integrating chemical, microbial, and exposome data from a single region.
Strengths
Includes multi-modal analysis: geochemical profiling, metagenomic sequencing, and exposome profiling via LC-ESI-QTOF-MS.
Provides specific quantitative findings, such as 147 antibiotic resistance genes in residential areas and pollutant concentrations like 0.9 mg/L lead.
Adopts a structured One Health framework, combining data from three distinct sample types (hospital, residential, river).
Limitations
The dataset is small (359.0 KB), suggesting limited scope and sample size (25 samples).
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale modeling.