Stratified Biocrust Data for Metal Immobilization in Humid Mining Regions

Figshare dataset by Zekai Feng analyzes stratified biological soil crusts from humid mining regions, published in April 2026. It integrates physicochemical characterization with bioinformatic analysis of microbial communities and metabolic potentials. The dataset is small, at 813.7 KB, stored in an XLSX file.

Use Cases

• Analyze microbial community stratification by comparing Cyanobacteria and SWB02 abundance in the photoautotrophic layer to Bacteroidota and Desulfobacterota in the heterotrophic layer.
• Model metal(loid) sequestration potential using gene enrichment data for hydB (17.4-fold) and phsC (3.4-fold) in the lower crust layer.
• Correlate physical barrier formation with clay-silt enrichment (2.8-fold higher than bare tailings) and extracellular polysaccharide accumulation (18-fold) in the upper layer.
• Investigate iron-manganese oxide immobilization linked to Gammaproteobacteria presence confined to the oxygen-rich photoautotrophic layer.

Strengths

• Integrated dataset combining physicochemical and genomic bioinformatic analysis.
• Reports specific, quantified biological enrichments like 18-fold polysaccharide accumulation and 17.4-fold hydB gene enrichment.
• Focus on a distinct environmental niche: humid mining region biocrusts.

Limitations

• Very small dataset at 813.7 KB, indicating limited sample size or scope.
• Unknown row count and specific column structure limits assessment of analytical depth.
• Geographic origin and number of sampling sites are unspecified.

Provenance

Source

Zekai Feng via figshare.

Collection Method

Integrated physicochemical characterization with bioinformatic analysis of biocrust samples.

Freshness

Last updated April 2026.

Geography

Humid mining regions, specific location unknown.