Hierarchical reject datasets

Datasets used in the paper 'Uncertainty-aware single-cell annotation with a hierarchical reject option'.  This paper uses 5 open-source datasets:
1. The Allen Mouse Brain (AMB) dataset [1]: Filtered_mouse_allen_brain_labels.csv and Filtered_mouse_allen_brain_data.csv
2. The COVID dataset [2]: CocidBALLabel.csv and CovidBALCounts.csv
3. The Azimuth PBMC dataset [3]: pbmc.multimodal.h5ad
4. from the Flyatlas [4] the Flyhead dataset: Flyatlas_Fbbt_head.csv, Flyatlas_head_10x.loom and Flyatlas_Labels_head.csv
5. from the Flyatlas [4] the Flybody dataset: Flyatlas_Fbbt_body.csv, Flyatlas_body_10x.loom and Flyatlas_Labels_body.csv

(All the credits of these datasets go to the original creators of the datasets.)

References
[1] Tasic, B. et al. (2018). Shared and distinct transcriptomic cell types across neocortical areas. Nature, 563 (7729), 72–78. https://doi.org/10.1038/s41586-018-0654-5
[2] Chan Zuckerberg Initiative Single-Cell COVID-19 Consortia et al. (2020). Single cell profiling ofCOVID-19 patients: an international data resource from multiple tissues. Medrxiv preprint. https://doi.org/10.1101/2020.11.20.20227355
[3] Stuart, T. et al. (2019). Comprehensive Integration of Single-Cell Data. Cell, 177(7), 1888–1902.e21. https://doi.org/10.1016/j.cell.2019.05.031
[4] Li, H. et al. (2022). Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly. Science, 375(6584), eabk2432. https://doi.org/10.1126/science.abk2432