Milk Pregnancy Test Accuracy Data for Holstein Cows

Data and R analysis scripts for a study on the diagnostic accuracy of a milk pregnancy-associated glycoprotein ELISA test in Holstein cows. The study was submitted for publication in Preventive Veterinary Medicine. The dataset was authored by Simon Dufour and is hosted on the Borealis Harvested Dataverse.

Use Cases

• Validate the accuracy of a milk-based pregnancy test based on days since last breeding.
• Develop statistical models for pregnancy detection in dairy cattle based on protein biomarkers.
• Compare diagnostic test performance metrics (e.g., sensitivity, specificity) for veterinary applications.

Strengths

• Includes R analysis scripts for reproducibility of the published study.
• Focuses on a specific diagnostic method (ELISA) for a well-defined population (Holstein cows).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Likely collected as part of a veterinary research study.

Freshness

Last updated 2026-05-23 04:10:12