Human-scATAC-Corpus

Download by Tasks

Task	Number of Cells	Cell-by-cCRE Matrix (tar.gz of h5ad files)	Fragment File (tar of tar.gz files)	Cell-by-peak Matrix (tar.gz of h5ad files)
Self-supervised pretraining	5,407,621	\| [MD5]	\| [MD5]	\| [MD5]
Unsupervised feature extraction and supervised cell type annotation	3,021,043	\| [MD5]	\| [MD5]	\| [MD5]
Batch effect correction	5,192,122	\| [MD5]	\| [MD5]	\| [MD5]
Cell states prediction under unseen genetic perturbation	89,723	\| [MD5]	\| [MD5]	\| [MD5]
Cell states prediction under out-of-sample stimulated perturbation	167,064	\| [MD5]	\| [MD5]	\| [MD5]

Download by Tissues

Tissue	Number of Cells	Cell-by-cCRE Matrix (tar.gz of h5ad files)	Fragment File (tar of tar.gz files)	Cell-by-peak Matrix (tar.gz of h5ad files)
Cardiac tissue	316,164	\| [MD5]	\| [MD5]	\| [MD5]
K562 cells	49,210	\| [MD5]	\| [MD5]	\| [MD5]
Bone marrow tissue	187,225	\| [MD5]	\| [MD5]	\| [MD5]
Adipose tissue	16,243	\| [MD5]	\| [MD5]	\| [MD5]
Adrenal gland	79,632	\| [MD5]	\| [MD5]	\| [MD5]
Vascular tissue	46,823	\| [MD5]	\| [MD5]	\| [MD5]
Colonic tissue	55,084	\| [MD5]	\| [MD5]	\| [MD5]
Esophageal tissue	82,469	\| [MD5]	\| [MD5]	\| [MD5]
Pancreatic tissue	51,100	\| [MD5]	\| [MD5]	\| [MD5]
Hepatic tissue	201,126	\| [MD5]	\| [MD5]	\| [MD5]
Pulmonary tissue	249,993	\| [MD5]	\| [MD5]	\| [MD5]
Mammary tissue	16,410	\| [MD5]	\| [MD5]	\| [MD5]
Muscle tissue	67,772	\| [MD5]	\| [MD5]	\| [MD5]
Nervous tissue	13,866	\| [MD5]	\| [MD5]	\| [MD5]
Ovarian tissue	180,677	\| [MD5]	\| [MD5]	\| [MD5]
Cutaneous tissue	26,476	\| [MD5]	\| [MD5]	\| [MD5]
Intestinal tissue	56,959	\| [MD5]	\| [MD5]	\| [MD5]
Gastric tissue	21,458	\| [MD5]	\| [MD5]	\| [MD5]
Thyroid tissue	28,299	\| [MD5]	\| [MD5]	\| [MD5]
Uterine tissue	8,475	\| [MD5]	\| [MD5]	\| [MD5]
Genital tissue	4,824	\| [MD5]	\| [MD5]	\| [MD5]
Brain tissue	2,549,071	\| [MD5]	\| [MD5]	\| [MD5]
Ocular tissue	189,326	\| [MD5]	\| [MD5]	\| [MD5]
Renal tissue	129,993	\| [MD5]	\| [MD5]	\| [MD5]
Placental tissue	19,550	\| [MD5]	\| [MD5]	\| [MD5]
Splenic tissue	2,220	\| [MD5]	\| [MD5]	\| [MD5]
Thymic tissue	24,706	\| [MD5]	\| [MD5]	\| [MD5]
Glioblastoma	83,507	\| [MD5]	\| [MD5]	Not available
Clear-cell renal cell carcinoma	106,250	\| [MD5]	\| [MD5]	Not available
Peripheral blood mononuclear cells	87,649	\| [MD5]	\| [MD5]	\| [MD5]
Retinal tissue	203,554	\| [MD5]	\| [MD5]	\| [MD5]
Kidney tissue	24,205	\| [MD5]	\| [MD5]	\| [MD5]
Heart tissue	105,923	\| [MD5]	\| [MD5]	Not available
GM12878 cells	22,488	\| [MD5]	\| [MD5]	\| [MD5]
MCF7 cells	18,025	\| [MD5]	\| [MD5]	\| [MD5]
Pituitary tissue	44,141	\| [MD5]	\| [MD5]	\| [MD5]
Testicular tissue	36,728	\| [MD5]	\| [MD5]	\| [MD5]

Download by Datasets

Dataset	Number of Cells	Cell-by-cCRE Matrix (tar.gz of h5ad files)	Fragment File (tar of tar.gz files)	Cell-by-peak Matrix (tar.gz of h5ad files)
Kanemaru2023	139,835	\| [MD5]	\| [MD5]	\| [MD5]
Liscovitch-Brauer2021	16,379	\| [MD5]	\| [MD5]	Not available
Lareau2019	136,425	\| [MD5]	\| [MD5]	\| [MD5]
Zhang2021	484,608	\| [MD5]	\| [MD5]	\| [MD5]
Hocker2021	80,389	\| [MD5]	\| [MD5]	\| [MD5]
Wang2020	21,797	\| [MD5]	\| [MD5]	\| [MD5]
Chiou2021	14,298	\| [MD5]	\| [MD5]	\| [MD5]
Domcke2020	707,043	\| [MD5]	\| [MD5]	\| [MD5]
Buenrostro2018	2,034	\| [MD5]	\| [MD5]	\| [MD5]
Li2023b	112,762	\| [MD5]	\| [MD5]	Not available
Li2023a	1,111,727	\| [MD5]	\| [MD5]	\| [MD5]
Terekhanova2023	303,764	\| [MD5]	\| [MD5]	Not available
Duong2022	40,427	\| [MD5]	Not available	\| [MD5]
Satpathy2019	70,738	\| [MD5]	\| [MD5]	\| [MD5]
Granja2019	35,038	\| [MD5]	\| [MD5]	\| [MD5]
Herring2022	85,846	\| [MD5]	Not available	\| [MD5]
Jin2022	41,550	\| [MD5]	\| [MD5]	\| [MD5]
Liang2023	152,579	\| [MD5]	\| [MD5]	\| [MD5]
Ma2022	54,722	\| [MD5]	Not available	\| [MD5]
Morabito2021	63,969	\| [MD5]	Not available	\| [MD5]
Muto2021	24,205	\| [MD5]	\| [MD5]	\| [MD5]
Trevino2021	39,268	\| [MD5]	Not available	\| [MD5]
Wang2022	50,975	\| [MD5]	\| [MD5]	Not available
Zhu2023	45,549	\| [MD5]	Not available	\| [MD5]
Ziffra2021	75,256	\| [MD5]	Not available	\| [MD5]
Ameen2022	105,923	\| [MD5]	\| [MD5]	Not available
Camiel2023	679,336	\| [MD5]	\| [MD5]	Not available
Pierce2021	73,344	\| [MD5]	\| [MD5]	\| [MD5]
Zhang2022	44,141	\| [MD5]	\| [MD5]	\| [MD5]
Lee2023	69,734	\| [MD5]	\| [MD5]	\| [MD5]
Yoshimura2023	74,246	\| [MD5]	\| [MD5]	\| [MD5]
Garcia-Alonso2022	168,718	\| [MD5]	\| [MD5]	\| [MD5]
Wang2023	179,726	\| [MD5]	Not available	\| [MD5]
Corces2020	70,631	\| [MD5]	Not available	\| [MD5]
Mimitou2021	30,639	\| [MD5]	\| [MD5]	\| [MD5]