Stratified Biocrust Microbial and Physicochemical Data for Humid Mining Regions

A 35.6 KB Excel dataset presents physicochemical and bioinformatic analysis of redox-stratified biological soil crusts (biocrusts) from humid mining tailings. It was created by Zekai Feng and published on figshare in April 2026. The data reveals stratified microbial communities and metabolic potentials across photoautotrophic and heterotrophic layers.

Use Cases

• Analyze correlations between clay-silt enrichment (2.8-fold higher) and extracellular polysaccharide accumulation (18-fold) in the photoautotrophic layer.
• Investigate the stratified distribution of microbial taxa like Cyanobacteria, SWB02, Bacteroidota, and Desulfobacterota across biocrust layers.
• Model the relationship between gene enrichment for hydB (17.4-fold) and phsC (3.4-fold) and sulfidogenic potential in the heterotrophic layer.
• Study the co-occurrence of Gammaproteobacteria-associated iron–manganese oxide immobilization with the physical oxygen barrier in the upper crust layer.

Strengths

• Data includes specific, quantified fold-change measurements for key physicochemical and genetic features (e.g., 18-fold polysaccharide increase).
• Integrated dataset combining physicochemical characterization with bioinformatic analysis of microbial communities.
• Focus on a specific, understudied environment (humid mining region biocrusts) providing targeted insights.

Limitations

• The dataset is very small at 35.6 KB, indicating a limited sample size and scope.
• Specific row count, column names, and sample replication details are unknown.
• Geographic origin and exact temporal coverage of sample collection are not specified.

Provenance

Source

Zekai Feng via figshare.

Collection Method

Integrated physicochemical characterization and bioinformatic analysis of biocrust samples.

Freshness

Last updated on April 7, 2026, indicating recent publication.

Geography

Humid mining regions (specific location unknown).