Sudwala Caves Airborne Metagenomes with Physicochemical Air Quality Data

18 culture-enriched airborne samples from Sudwala Caves, South Africa, sequenced with PacBio HiFi long-read technology. The repository includes high-quality metagenome assemblies, functional annotations, taxonomic profiles, and associated air quality measurements. Author victoria Onumanyi published the dataset on figshare under a CC-BY-4.0 license, last updated in April 2026.

Use Cases

• Characterizing airborne microbial diversity and taxonomy based on Kaiju annotations mentioned in the description
• Analyzing functional metabolic potential of cave microbiomes based on DRAM annotations
• Correlating microbial community profiles with environmental conditions based on physicochemical air quality data
• Benchmarking long-read metagenomic assembly methods based on the provided Flye assemblies and global statistics

Strengths

• Includes 18 distinct culture-enriched airborne samples, providing biological replicates
• Integrates genomic data with multiple environmental variables: PM fractions, formaldehyde, temperature, and humidity
• Provides long-read-based assemblies and annotations, which likely offer higher contiguity and accuracy

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment for certain analyses

Provenance

Source

figshare

Collection Method

Culture-enriched airborne sampling followed by PacBio HiFi sequencing and bioinformatic analysis.

Time Range

Sampling seasons are referenced, but specific dates are not provided.

Freshness

Last updated 2026-04-18 07:06:15

Geography

Sudwala Caves, South Africa