Data Sheet 2_Multicenter genomic analysis reveals environmental hotspots and near-clonal s

From September to December 2020, 1,136 environmental samples were collected across eight veterinary hospitals in Beijing, yielding 64 Acinetobacter baumannii isolates. The dataset includes genomic analysis results, antimicrobial susceptibility testing, and environmental risk factor assessments. It was created by Yu Song and is available under a CC-BY-4.0 license.

Use Cases

• Identify environmental hotspots for pathogen recovery based on department and surface type isolation rates.
• Analyze genomic lineage distribution and transmission patterns using Bayesian population structure and cgMLST data.
• Profile antimicrobial resistance genes and virulence factors across different hospital environments.
• Assess risk factors for pathogen recovery using generalized linear mixed-effects models.

Strengths

• Data is sourced from a multi-center study across eight veterinary hospitals, providing comparative context.
• Includes whole-genome sequencing results for 64 isolates, enabling detailed genomic analysis.
• Environmental sampling covers multiple departments and surface types, with specific isolation rates reported.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (23.4 KB), indicating limited scope and likely summary-level data.

Provenance

Source

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Collection Method

Samples were collected from veterinary hospital environments, with isolates subjected to antimicrobial susceptibility testing and whole-genome sequencing.

Time Range

September to December 2020

Freshness

Last updated 2026-06-01 04:19:00; freshness should be verified.

Geography

Beijing, China