9.5 KB of data on antimicrobial susceptibility patterns for bacterial isolates. The dataset, authored by Safia Arbab and last updated on 2026-05-22, presents counts and percentages of isolates classified as susceptible or resistant, with no intermediate strains reported. It is available under a CC-BY-4.0 license.
Use Cases
- Calculate resistance rates for specific antimicrobials based on the reported counts and percentages.
- Compare susceptibility profiles across different bacterial species or sample sources implied by the dataset's nature.
- Train simple predictive models for resistance based on the binary susceptible/resistant classification.
- Monitor temporal changes in resistance patterns if the data includes temporal information.
Strengths
- Data is explicitly structured with counts and percentages for susceptible and resistant isolates.
- The dataset has a clear, permissive license (CC-BY-4.0) for reuse.
- A specific update timestamp (2026-05-22 17:40:53) is provided.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The 9.5 KB file size suggests a very limited scope of data.
Provenance
- Source
- Safia Arbab via figshare.
- Collection Method
- Likely laboratory testing of bacterial isolates, though the specific methodology is not detailed.
- Time Range
- null
- Freshness
- Last updated 2026-05-22 17:40:53; freshness should be verified.
- Geography
- null