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CyMeta-ImaGating is a dataset of single-cell metabolic atlases generated using metabolomic cytometry with an image-enabled gating strategy. The data includes verified single-cell profiles from scraped HeLa cell suspensions, spleen, liver, and cancer cells, demonstrating transitions in metabolic states after pathogen activation and drug treatment. The dataset, authored by Yuanyi He and last updated in March 2026, is shared under a CC-BY-NC-4.0 license.
License is CC-BY-NC-4.0, which prohibits commercial use.