COMBAT Stephenson harmonized

Benjamin Frey provides a harmonized object embedding of the COMBAT and Stephenson single-cell multi-omics datasets. The 14.6 GB ZIP file integrates data from two major studies on the immune response to COVID-19. It was last updated on 2026-05-12.

Use Cases

• Train models for cell-type identification based on harmonized multi-omics embeddings.
• Analyze immune cell state transitions in COVID-19 based on integrated single-cell data.
• Benchmark data integration methods using a pre-harmonized dataset from two large-scale studies.

Strengths

• Integrates data from two large, peer-reviewed COVID-19 studies (COMBAT and Stephenson).
• The dataset is 14.6 GB, indicating substantial data volume.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

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

Provenance

Source

Harmonization of the COMBAT (Ahern et al., Cell 2022) and Stephenson (Stephenson et al., Nature Medicine 2021) datasets.

Collection Method

Harmonized object embedding via an unspecified computational pipeline.

Freshness

Last updated 2026-05-12 15:46:13.