Simultaneous detection of three critical beta-lactamase enzymes in gram-negative clinical isolates using a single plate method. The dataset is associated with a paper published by IOSR Journals and is available via Papers with Code under an Open Access license. Specific details on sample size, collection dates, and data structure are not provided in the metadata.
Use Cases
- Training a classifier to identify bacterial isolates producing specific beta-lactamase types from phenotypic test results (inferred from domain, verify after download)
- Analyzing the co-occurrence patterns of different beta-lactamase enzymes within a collection of clinical isolates (inferred from domain, verify after download)
- Benchmarking novel diagnostic methods against a standardized plate assay for beta-lactamase detection (inferred from domain, verify after download)
Strengths
- Published on Papers with Code, a platform for machine learning research with data.
- Available under an Open Access (green) license, facilitating reuse.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, column definitions, and file formats are unknown, limiting suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- IOSR Journals
- Collection Method
- Likely contains laboratory results from a study on a single-plate detection method for beta-lactamases.