Converted scRNA data from (Cazet et al. 2022), see a detailed description of the study here: https://doi.org/10.1101/2022.06.21.496857 Data were downloaded from https://research.nhgri.nih.gov/HydraAEP/download/scriptsdata/aepAtlasNonDub.rds and converted into AnnData (h5ad) files only keeping the RNA assay (removed integrated and SCT assay) to be able to analyse with e.g. python scanpy package. Note: In the original rds file, the rownames(aepAtlasNonDub@meta.data) are sorted alpha-numerical, whereas the cell order in colnames(aepAtlasNonDub) are not. I have re-sorted the rownames(aepAtlasNonDub@meta.data) according to cell order prior AnnData conversion, so that h5ad data have correct observations. If you use this data, please cite Cazet et al. 2022.

{"references": ["Cazet, Jack, Stefan Siebert, Hannah Morris Little, Philip Bertemes, Abby S. Primack, Peter Ladurner, Matthias Achrainer et al. (2022) New Hydra genomes reveal conserved principles of hydrozoan transcriptional regulation., bioRxiv, 2022.06.21.496857.", "Satija, R., Farrell, J.A., Gennert, D., Schier, A.F. and Regev, A., 2015. Spatial reconstruction of single-cell gene expression data. Nature biotechnology, 33(5), pp.495-502.", "Wolf, F.A., Angerer, P. and Theis, F.J., 2018. SCANPY: large-scale single-cell gene expression data analysis. Genome biology, 19(1), pp.1-5."]}