Benchmarking datasets for scMINER clustering analysis

Here are the 13 datasets used in the clustering benchmark of MICA (https://github.com/jyyulab/MICA), the cell clustering engine of scMINER(https://github.com/jyyulab/scMINER). The first 10 datasets (Yan, Goolam, Buettner, Pollen, Chung, Usoskin, Kolod, Klein, Zeisel and PBMC14K) contains the ground-truth cell types, and were used for clusteriing accuracy benchmarking. While the other three (HMC76K, COVID97K and COVID650K) do not contain ground-truth cell types, and were used for scalability bechmarking only.