Calcium imaging data for the dry eye disease groups. The dataset was contributed by author Reza Dana to the Reza Dana_HEAL Dataverse. It was last updated on June 22, 2026.
Use Cases
- Analyze calcium signaling dynamics in dry eye disease based on the imaging data.
- Compare cellular activity between different dry eye disease groups based on the dataset's grouping.
- Train machine learning models to classify disease states based on calcium imaging patterns.
Strengths
- Data is associated with a named author and organization, Reza Dana and the Reza Dana_HEAL Dataverse.
- The record has a specific last update timestamp of 2026-06-22 17:17:19.
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
- Reza Dana_HEAL Dataverse
- Freshness
- Last updated 2026-06-22 17:17:19; freshness should be verified.