Urban Microbiome and Air Quality Data from Medellín
by Natalia Bernal Hernández·Updated 2mo ago
4.0 MB1files
Available on 1 platform
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Description
A 4.0 MB dataset from figshare, last updated on 2026-04-28, contains sequencing and analysis outputs related to microbial communities in urban Medellín. The data, authored by Natalia Bernal Hernández, includes rarefaction curves, pathway enrichment plots, and tables summarizing 16S rRNA and shotgun metagenomics sequencing, assembly, and gene prediction. It is associated with air quality and meteorological station locations in downtown and southern urban sites.
Use Cases
Compare microbial richness across urban sampling sites based on rarefaction curves.
Analyze enriched aromatic compound degradation pathways in different urban locations.
Assess assembly and binning quality for metagenomic samples using provided performance metrics.
Study genes involved in catechol degradation via ortho-intradiol and meta-extradiol cleavage pathways.
Strengths
Includes multiple analysis outputs: 7 supplementary tables and 3 figures covering sequencing, assembly, binning, and pathway analysis.
Data is associated with specific geographic locations (downtown and southern sites of Medellín) and air quality monitoring infrastructure.
Released under a permissive CC-BY-4.0 license for open reuse.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count and column-level documentation are absent; field semantics must be inferred after download.
The 4.0 MB file size suggests a relatively small dataset, which may limit the scope of analysis.
Provenance
Source
figshare
Collection Method
Likely derived from 16S rRNA gene amplicon sequencing, shotgun metagenomics, and subsequent bioinformatic processing (e.g., PROKKA).
Freshness
Last updated 2026-04-28 17:23:06; freshness should be verified.
Geography
Medellín, Colombia (urban sites: downtown and southern site).
Primary data files are packaged in a ZIP archive; specific software for bioinformatics analysis may be required to utilize the data fully.