Datasets and R analysis scripts supporting a publication submitted to the Journal of Dairy Science. The data characterizes the variability in milk composition across different quarters of dairy cow udders. The dataverse was created by author Simon Dufour and was last updated on June 20, 2026.
Use Cases
- Analyze variability in milk composition based on udder quarter data mentioned in the description
- Model factors influencing milk component concentrations based on inter-quarter comparisons
- Validate statistical methods for agricultural data using the provided R analysis scripts
Strengths
- Data is directly linked to a peer-reviewed publication submitted to the Journal of Dairy Science
- Includes R analysis scripts for reproducibility of the research findings
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Likely collected as part of an agricultural research study.
- Freshness
- Last updated 2026-06-20 04:11:49; freshness should be verified