Count matrices from serverless and on-server single-cell RNA sequencing data processing of 10x Genomics PBMC datasets

Gene-by-cell count matrices produced by the serverless (AWS Lambda) workflow and by the on-server single-VM workflow described in the accompanying manuscript. Input data are the 10x Genomics PBMC 1K v3 and PBMC 10K v3 samples. Directory names use the paper wording on-server. Each run directory holds quants_mat.mtx, quants_mat_rows.txt and quants_mat_cols.txt. Raw SHA-256 of quants_mat.mtx differs between runs because piscem write order is not fixed. After resolving entries to (barcode, gene, count), sorting, and hashing, all matrices within a dataset share one sorted SHA-256. See MANIFEST.csv. Compute environment: AWS us-east-2, m5dn.8xlarge orchestrator and on-server host, Lambda 10240 MB. This version replaces the earlier deposit with matrices from the m5dn.8xlarge reruns (PBMC 1K and PBMC 10K, serverless and on-server).