Soil Microbial Communities and Pollutants from Seven Contaminated Sites in China

A multi-dimensional assessment of soil microbial communities across seven distinct chemically contaminated sites in China. The dataset integrates non-target chemical screening via HPLC-HRMS with 16S rDNA high-throughput sequencing and molecular ecological network analysis. It was authored by Deling Fan and last updated on 2026-04 14.

Use Cases

• Modeling correlations between specific pollutants (e.g., PAHs, anilines) and microbial taxa based on statistical analysis mentioned in the description.
• Predicting microbial community functional adaptation (e.g., efflux pumps, xenobiotic degradation pathways) using KEGG/COG-based predictions described.
• Analyzing microbial species interactions and network complexity in response to chemical pressure using the described molecular ecological network analysis.
• Comparing site-specific microbial community structure and composition across the seven distinct contaminated locations studied.

Strengths

• Data integrates two analytical dimensions: chemical screening (HPLC-HRMS) and microbial sequencing (16S rDNA).
• Covers seven distinct contaminated sites, allowing for comparative analysis.
• Includes functional predictions based on KEGG and COG databases.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (703.2 KB), indicating limited scope or summary-level data.

Provenance

Source

figshare, authored by Deling Fan.

Collection Method

Non-target chemical screening (HPLC-HRMS) and 16S rDNA high-throughput sequencing with molecular ecological network analysis.

Time Range

null

Freshness

Last updated 2026-04-14 05:28:44; freshness should be verified.

Geography

Seven distinct contaminated sites in China.