COMBAT: Preprocessed Metadata for a COVID-19 Blood Atlas

COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium published this metadata in 2021. The dataset provides preprocessed metadata for study participants in an AnnData format, derived from a blood atlas defining hallmarks of COVID-19 disease severity and specificity. The preprocessed version was uploaded by Eljas Roellin to figshare in May 2026.

Use Cases

• Identify clinical covariates associated with disease severity based on the participant metadata described.
• Integrate metadata with multi-omics data from the original COMBAT study for holistic analysis.
• Benchmark machine learning models for predicting COVID-19 outcomes using preprocessed clinical features.

Strengths

• Data is preprocessed into the AnnData format, which is standard for single-cell and omics analysis.
• The dataset is directly linked to a peer-reviewed publication in Cell (DOI: 10.1016/j.cell.2022.01.012).
• It is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• The dataset is small (2.7 MB), suggesting it contains only metadata and not the underlying omics measurements.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium via Zenodo (DOI: 10.5281/zenodo.6120249).

Collection Method

Preprocessed from the original multi-omics blood atlas study.

Freshness

Last updated 2026-05-06 09:51:00; freshness should be verified.