49 years old male - Fresh PBMCs (1 day post-intubation)
c874f155-9bf9-4928-b821-f52c876b3e48
4,603
29f92179-ca10-4309-a32b-d383d80347c1
49 years old male - Fresh PBMCs (2 days post-intubation)
db59611b-42de-4035-93aa-1ed39f38b467
11,574
29f92179-ca10-4309-a32b-d383d80347c1
49 years old male - Fresh PBMCs (3 days post-intubation)
eeacb0c1-2217-4cf6-b8ce-1f0fedf1b569
9,337
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (2 days post-intubation)
881fe679-c6e0-45a3-9427-c4e81be6921f
7,097
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (3 days post-intubation)
ea786a06-5855-48b7-80d7-0313a21a2044
4,792
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (4 days post-intubation)
ed9e9f96-4f08-49d2-bef5-b2c29adf3edc
5,696
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (7 days post-intubation)
01c93cf6-b695-4e30-a26e-121ae8b16a9e
3,726
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (3 days post-intubation)
84230ea4-998d-4aa8-8456-81dd54ce23af
5,608
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (4 days post-intubation)
cab0bc48-744c-461b-aaf4-7bf2cb7af00d
5,080
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (7 days post-intubation)
79ef1959-a6b4-4cac-82ca-30feaec48df1
4,846
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (8 days post-intubation)
50eb1e23-b8d4-4f76-a184-44e5541fa05a
4,755
29f92179-ca10-4309-a32b-d383d80347c1
82 years old female - Fresh PBMCs (1 day post-intubation)
8a554710-08bc-4005-87cd-da9675bdc2e7
4,232
29f92179-ca10-4309-a32b-d383d80347c1
A (Balanced) Bone Marrow Reference Map of Hematopoietic Development
cd2f23c1-aef1-48ae-8eb4-0bcf124e567d
263,159
f6c50495-3361-40ed-a819-fb9644396ed9
A Single-Cell Transcriptome Atlas of the Human Pancreas
b07e5164-baf6-43d2-bdba-5a249d0da879
2,126
6e8c5415-302c-492a-a5f9-f29c57ff18fb
A Unique Cellular Organization of Human Distal Airways and Its Disarray in Chronic Obstructive Pulmonary Disease
b61a921b-7fa3-4b42-b455-aaaf32447920
115,788
4f30b962-d49b-4624-a233-64f048cf8632
A molecular single-cell lung atlas of lethal COVID-19
d8da613f-e681-4c69-b463-e94f5e66847f
116,313
e4c9ed14-e560-4900-a3bf-b0f8d2ce6a10
A multi-tissue single-cell tumor microenvironment atlas
b617ee1b-f8c8-4de9-b82b-e803ab93550d
391,963
3f7c572c-cd73-4b51-a313-207c7f20f188
A proximal-to-distal survey of healthy adult human small intestine and colon epithelium by single-cell transcriptomics
019c7af2-c827-4454-9970-44d5e39ce068
12,590
64b24fda-6591-4ce1-89e7-33eb6c43ad7b
A single-cell atlas of the healthy breast tissues reveals clinically relevant clusters of breast epithelial cells
de985818-285f-4f59-9dbd-d74968fddba3
31,696
c9706a92-0e5f-46c1-96d8-20e42467f287
AIDA Phase 1 Data Freeze v2: Chinese, Indian, Japanese, Korean, Malay, and Thai donors in Japan, Singapore, South Korea, Thailand, and India
c838aec3-03ef-4398-b882-0e3912abfff0
1,265,624
ced320a1-29f3-47c1-a735-513c7084d508
Adult bladder immune subset
601c7454-17ff-432c-8e0d-902bfddb8013
2,094
0e54d4de-44f0-4d50-8649-b5c2bbe8f5d1
Adult bladder urothelial subset
8e5978bd-0e48-4a09-a92d-fa2985059f05
14,776
0e54d4de-44f0-4d50-8649-b5c2bbe8f5d1
Adult ureter trio
12c3efd8-d515-42e6-b93c-4961e599d524
13,161
af286675-7167-4816-a907-c72d41b73d37
Airway
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
236,977
03f821b4-87be-4ff4-b65a-b5fc00061da7
All
13149914-ea03-4f01-8bf6-b793b667127b
1,665,937
4d8fed08-2d6d-4692-b5ea-464f1d072077
All Cells
16023185-de21-4c0d-a9c8-73abdd52d142
370,115
4d82bd8e-8827-410b-8fc7-685b7dd92585
All annotated cells from infection 1
2ac76f1b-43ef-4271-8686-2f165570989f
48,226
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All annotated cells from infection 2
7f7faf6b-f11d-4f07-bc1c-188a4472748d
134,076
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All annotated cells from infection 3
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
125,530
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All annotated cells from infection 4
7c497c66-c2e2-4291-8b96-339e5e65f314
76,298
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All cell types of human eye
e6dad530-418b-47f9-af6e-472e56a7b314
100,055
939769a8-d8d2-4d01-abfc-55699893fd49
All cells
3dc61ca1-ce40-46b6-8337-f27260fd9a03
71,752
2d2e2acd-dade-489f-a2da-6c11aa654028
All cells and nuclei
093d3bfe-6f0f-4ac0-a7a1-829f94d0a49f
193,108
c1241244-b22d-483d-875b-75699efb9f3c
All cells type from five healthy donors
8f3e7fcf-0b16-4a29-a5f1-a7a8b267d689
50,992
ab6823e0-506e-461b-b1f9-d30e69a01687
All cells types from scRNA-seq of human primary sclerosing cholangitis patients and healthy controls
02792605-4760-4023-82ad-40fc4458a5db
89,637
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
All donors all cell states (in vivo)
74cff64f-9da9-4b2a-9b3b-8a04a1598040
325,665
e2c257e7-6f79-487c-b81c-39451cd4ab3c
All — Cells of the adult human heart
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
486,134
b52eb423-5d0d-4645-b217-e1c6d38b2e72
All_cells
58f43044-cd3c-42b8-bc0b-3498eb236359
156,726
7d66d871-091f-4602-9f42-85f86d2853e0
An Integrated Single Cell Meta-atlas of Human Periodontitis
9fcb0b73-c734-40a5-be9c-ace7eea401c9
105,918
71f4bccf-53d4-4c12-9e80-e73bfb89e398
An integrated cell atlas of the human lung in health and disease (full)
9f222629-9e39-47d0-b83f-e08d610c7479
2,282,447
6f6d381a-7701-4781-935c-db10d30de293
Anomalous Epithelial Variations and Ectopic Inflammatory Response in Chronic Obstructive Pulmonary Disease
8fbed309-d3d4-441b-b3ff-e2dcbcec2d35
57,918
dc4cd1f7-667a-4c29-ae77-9401b9700d7f
Autoimmunity PBMCs
c2a461b1-0c15-4047-9fcb-1f966fe55100
97,499
eb735cc9-d0a7-48fa-b255-db726bf365af
BCC and Normal - scRNA-seq data
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
152,189
34f12de7-c5e5-4813-a136-832677f98ac8
Bone_marrow
a20e2f2a-e171-450a-8ddc-8935c2977ad6
66,613
854c0855-23ad-4362-8b77-6b1639e7a9fc
Bronchial scRNA-Seq Dataset
d2bc2703-a9b5-4949-b85d-61da7b9961b1
2,075
af500bec-a5d6-4569-9f50-4314f2e7a011
Bronchopulmonary dysplasia
d68a8b48-abf0-4bd5-8834-155d34ec448a
271,381
3a5dbf8a-9b3e-4309-b4c5-d8a024f83734
CAREBANK
8f4f8502-9170-4ac2-9707-3b6985ebfe5f
221,756
8c782494-01ed-491b-97b9-6f0d3b76c676
CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)
471647b3-04fe-4c76-8372-3264feb950e8
27,998
793fdaec-5067-428a-a9db-ecefe135c945
CITEseq of JDM PBMCs
a199ca73-035d-44e2-9893-4c493151db21
105,827
c672834e-c3e3-49cb-81a5-4c844be4a975
COMBAT project: single cell gene expression data from COVID-19, sepsis and flu patient PBMCs
ebc2e1ff-c8f9-466a-acf4-9d291afaf8b3
836,148
8f126edf-5405-4731-8374-b5ce11f53e82
Cellular and transcriptional diversity over the course of human lactation
0920bcb8-4b3a-4e9d-a353-56f529fd3b32
48,478
e77163ca-8214-4e86-8b37-4f65a2ddae13
Central Cornea
a4157949-6f2a-40e2-b960-63f6e2bde918
37,485
63d03351-06be-478e-a0db-f7a653b6b19b
Cholangiocytes from human healthy donor liver samples
0c9a8cfb-6649-4d52-b418-6d8e56bd7afe
1,011
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Circulating Immune cells -- CV19 infection, vaccination and HC
242c6e7f-9016-4048-af70-d631f5eea188
189,902
ecb739c5-fe0d-4b48-81c6-217c4d64eec4
Combined human neural dataset
b62f728b-a7eb-4889-8162-b3d457de93b9
43,485
847fafc3-41a1-4a0d-9461-0328c88e9b13
Combined single cell and single nuclei RNA-Seq data - Heart Global
d567b692-c374-4628-a508-8008f6778f22
704,296
3116d060-0a8e-4767-99bb-e866badea1ed
DCM/ACM heart cell atlas: All cells
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
881,081
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
Dissection: Anterior cingulate cortex (ACC)
be401db3-d732-408a-b0c4-71af0458b8ab
135,462
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Pons (Pn) - Pontine Nucleus - PN
64f4ad90-a422-400a-944d-4ce0f39594a7
33,641
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - Pontine reticular formation - PnRF
7c1c3d47-3166-43e5-9a95-65ceb2d45f78
49,512
283d65eb-dd53-496d-adb7-7570c7caa443
Epithelial Compartment
ed880090-465d-4477-9d98-70838ca288e3
242,613
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Extended GBmap
56c4912d-2bae-4b64-98f2-af8a84389208
1,135,677
999f2a15-3d7e-440b-96ae-2c806799c08c
Fallopian tube samples from pre- and post-menopausal humans
0436a180-cb44-47ba-8ffa-807b7a468469
131,218
380ade76-e561-49a8-afb2-0f10b39c2c72
Fetal lung + Pan-fetal immune
350237e0-9f48-4cbd-9140-3b44495549f3
670,749
ec329aed-22bc-4d6e-8935-8282dcb1acac
Fresh samples (single cell)
6c87755e-a671-41a8-9c7e-4e43b850a57b
157,531
a96133de-e951-4e2d-ace6-59db8b3bfb1d
Frontal cortex samples from C9-FTD and age matched control brains
3b8b5de4-3aa1-4ac6-8890-8d03c8219981
113,106
aee9c366-f2fb-470b-8937-577d5d87d3fc
Frozen samples (single nucleus)
34f5307e-7b4d-4a48-b68f-2ba844c6414b
394,534
a96133de-e951-4e2d-ace6-59db8b3bfb1d
Full Dataset
0a2d7e87-c3c0-4ed2-86df-ae18811fcc16
61,747
7c4552fd-8a6d-4da3-9854-2dfa8baca8bf
Full dataset of single-cell RNA-seq profiles from 9 developmental tissues across gestation (4-17 pcw)
fd072bc3-2dfb-46f8-b4e3-467cb3223182
908,046
b1a879f6-5638-48d3-8f64-f6592c1b1561
Global
1b9d8702-5af8-4142-85ed-020eb06ec4f6
329,762
62ef75e4-cbea-454e-a0ce-998ec40223d3
Global Atlas
de5416ef-bbfa-41f3-99d4-01a3554173f5
621,200
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
HBCA - global
0ba636a1-4754-4786-a8be-7ab3cf760fd6
803,283
48259aa8-f168-4bf5-b797-af8e88da6637
HNOCA Extended: The Human Neural Organoid Atlas
d7f5d8d0-6150-48d7-b094-c34286ad11a1
1,920,454
de379e5f-52d0-498c-9801-0f850823c847
Healthy and IFALD pediatric and adult human liver tissue
84cfa5aa-a0d1-415e-ac47-eb66c9cf8170
81,001
ff69f0ee-fef6-4895-9f48-6c64a68c8289
Healthy human liver: integrated
ddb22b3d-a75c-4dd1-9730-dff7fc8ca530
73,295
44531dd9-1388-4416-a117-af0a99de2294
Hepatocyte-1 cells from human healthy donor liver samples
234c23d0-d6cd-4612-a40d-e5811727564b
53,015
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Hepatocyte-2 cells from human healthy donor liver samples
76af615b-12fe-4ebb-b8c6-239ad29e26e3
13,635
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Hippocampus
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
676,845
854c0855-23ad-4362-8b77-6b1639e7a9fc
Human Fetal Bone Marrow (CITE-seq)
343ff97c-85df-494b-8400-beb937618611
8,978
793fdaec-5067-428a-a9db-ecefe135c945
Human HYPOMAP single-nucleus data
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
433,369
d0941303-7ce3-4422-9249-cf31eb98c480
Human Immune Health Atlas
e522d2cd-7927-4e59-a4ed-064009569279
1,821,725
77f9d7e9-5675-49c3-abed-ce02f39eef1b
Human PBMC Glaucoma Atlas
30c2a6fd-d547-460f-a5e7-44c62a2af7ad
207,952
de2cde16-c8d3-4a6d-80be-1be9e879aaca
Human Trophoblast Organoids
b7efc0ba-9136-4f3f-adb2-d07849e59a3d
67,996
257ce7fb-ab27-4772-8a06-9fe8385816b2
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
9d8e5dca-03a3-457d-b7fb-844c75735c83
72,335
6b701826-37bb-4356-9792-ff41fc4c3161
Human adult ureter
3e524d45-2265-4440-b903-3c30d51a0b17
30,942
af286675-7167-4816-a907-c72d41b73d37
Human dermal fibroblast atlas
a19d1667-a7b5-4556-9e5f-f9bfa690c0f1
108,440
3c4f0970-7614-43de-beb7-6128b3cb74ed
Human healthy adult skin scRNA-seq data
f0f0d7c4-3bec-428e-9539-c99d36548d96
195,739
73f82ac8-15cc-4fcd-87f8-5683723fce7f
Human lymph node slices cultured with and without ex vivo stimulation by liposomal TLR4 and QS-21 adjuvant
e7bd68ab-df49-44df-9b1e-8486114aeeb5
109,297
69f13fde-a4e8-4a32-8b5d-c657ae2f5e9a
Human lymph nodes with partial T and B cell depletion
edbfa04a-f1dd-496a-8237-df11d70621ca
77,525
69f13fde-a4e8-4a32-8b5d-c657ae2f5e9a
Human muscle cells and nuclei
b3c9904b-2ffd-4038-8620-ee1c5b072e9c
183,161
2d40e6a7-f2fd-49ba-9db9-6b97e4c6dad5
Immune Compartment
5a9cfb44-494a-4540-8db8-7143b1bb5a6f
274,555
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Immune Response mechanisms in the cerebrospinal fluid in leptomeningeal disease at single cell resolution
0bf30b02-db97-4560-b9cd-0fe3588892af
72,695
573e2e06-8af0-4d96-bfdd-7d64a4bb9c21
Immune aging project - all cells
1b350d0a-4535-4879-beb6-1142f3f94947
1,281,499
cc431242-35ea-41e1-a100-41e0dec2665b
In vitro derived T cells, from Artificial Thymic Organoid protocol
8d73847b-33e7-48f0-837f-e3e6579bf12d
10,459
b1a879f6-5638-48d3-8f64-f6592c1b1561
Integrated Single-nucleus and Single-cell RNA-seq of the Adult Human Kidney
0b75c598-0893-4216-afe8-5414cab7739d
304,652
bcb61471-2a44-4d00-a0af-ff085512674c
Integrated cancer cell-specific single-cell RNA-seq datasets of immune checkpoint blockade-treated patients
7b20c613-9add-43d1-87e9-defd3d9b9f8c
355,941
61e422dd-c9cd-460e-9b91-72d9517348ef
Integrated transcriptomes of the 14 pancreatic islet cell types
e51bae9a-c747-4b64-904a-4da7cda218ab
245,878
58e85c2f-d52e-4c19-8393-b854b84d516e
Integration of Day 8 iPSC-Derived Embryoid Bodies with Human Embryo Published Data (10X sc-RNA-seq; Wellington et al. 2024)
589fe605-6d49-4abe-bff8-1675511c689a
41,670
4a2c25af-558a-45fc-bc9a-54ec44a1d63f
Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
4dd00779-7f73-4f50-89bb-e2d3c6b71b18
34,772
33d19f34-87f5-455b-8ca5-9023a2e5453d
Krasnow Lab Human Lung Cell Atlas, 10X
8c42cfd0-0b0a-46d5-910c-fc833d83c45e
65,662
5d445965-6f1a-4b68-ba3a-b8f765155d3a
Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients
9dbab10c-118d-496b-966a-67f1763a6b7d
1,462,702
0a839c4b-10d0-4d64-9272-684c49a2c8ba
Late tip organoid
43a1506b-aa9e-46a3-b288-d210f4595ddf
20,475
2d42fb2f-e635-466e-a2f4-9ea34f2e0feb
Liver
1d89d081-f43d-401a-be76-bd6ef9259f4e
259,678
854c0855-23ad-4362-8b77-6b1639e7a9fc
MSK SPECTRUM – All cells
b252b015-b488-4d5c-b16e-968c13e48a2c
927,205
4796c91c-9d8f-4692-be43-347b1727f9d8
Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing
ec6ceff8-c8bc-488d-b6bf-30df2fa92169
67,110
a261413d-835b-4f1e-ab0c-dada55ea6afd
Multiomics single-cell analysis of human pancreatic islets reveals novel cellular states in health and type 1 diabetes
37b21763-7f0f-41ae-9001-60bad6e2841d
69,645
51544e44-293b-4c2b-8c26-560678423380
Natural killer T cells from human healthy donor liver samples
43560d7c-acd6-4ede-830d-c9ffc6cd0862
16,665
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Oral and Craniofacial Atlas
cb252df6-6e49-4553-abd1-495a00006fb1
246,103
065ad318-59fd-4f8c-b4b1-66caa7665409
Organoid
4023a2bc-6325-47db-bfdf-9639e91042c2
70,495
2d2e2acd-dade-489f-a2da-6c11aa654028
PBMC
2a498ace-872a-4935-984b-1afa70fd9886
422,220
03f821b4-87be-4ff4-b65a-b5fc00061da7
PBMCs
fa8605cf-f27e-44af-ac2a-476bee4410d3
59,506
0434a9d4-85fd-4554-b8e3-cf6c582bb2fa
PERIHEART
f1606894-59df-4794-a37f-baa7c6fb6de1
392,819
8c782494-01ed-491b-97b9-6f0d3b76c676
Placenta Infection
3966ba97-beb8-4d0b-9954-d3775cd2cd61
158,978
5f80428b-222d-450b-a7de-a408186ceb86
SL057
145dcf6a-2461-4fa3-a0af-7fc56db0bd33
123,236
113a558a-e96e-4643-81db-140e95c58578
Single Cell Sequencing of Human PBMCs in Clonal Hematopoeisis of Indeterminant Potential
19e46756-9100-4e01-8b0e-23b557558a4c
66,985
0aab20b3-c30c-4606-bd2e-d20dae739c45
Single cell RNA sequencing of bone marrow mononuclear cells from healthy donors and B-cell lymphoma patients following CD19 CAR T-cell therapy
965386e9-1e4f-466d-bf59-ebdca4b66b9b
92,676
26b5b4f6-828c-4791-b4a3-abb19e3b1952
Single cell RNA-seq data from normal adult kidney tissue
0b4a15a7-4e9e-4555-9733-2423e5c66469
48,783
a98b828a-622a-483a-80e0-15703678befd
Single cell analysis of mouse and human prostate reveals novel fibroblasts with specialized distribution and microenvironment interactions - All Human Cells
574e9f9e-f8b4-41ef-bf19-89a9964fd9c7
83,451
4b54248f-2165-477c-a027-dd55082e8818
Single nucleus transcriptomic atlas of human foetal tendon
f641d68a-e877-4bb8-afd7-b8fa3921d461
91,859
7b9ae565-a781-433d-98d4-430394e7802a
Single-Cell RNA Sequencing of Breast Tissues: Cell Subtypes and Cancer Risk Factors
9a64bf99-ebe5-4276-93a8-bee9dff1cd47
52,681
99f1515b-46a2-4bc4-94c3-f62659dc1eb4
Single-cell RNA-seq analysis of Interstitial Lung Disease (ILD) subtypes
f14bc322-1322-4184-8d16-409557525ea5
471,905
07e12576-b41b-4350-adfc-059bfc4328ea
Single-cell RNA-seq of the Adult Human Kidney (Version 1.5)
dea717d4-7bc0-4e46-950f-fd7e1cc8df7d
225,177
0f528c8a-a25c-4840-8fa3-d156fa11086f
Single-cell atlas of 24 hormone therapy naive localised prostate cancers
881e0e6b-a185-45f1-9b56-81606e91e7ff
68,322
bdac7a53-fe34-4f04-8c46-f9bd5297c099
Single-cell atlas of peripheral immune response to SARS-CoV-2 infection
456e8b9b-f872-488b-871d-94534090a865
44,721
a72afd53-ab92-4511-88da-252fb0e26b9a
Single-cell eQTL mapping identifies cell type specific genetic control of autoimmune disease
3faad104-2ab8-4434-816d-474d8d2641db
1,248,980
dde06e0f-ab3b-46be-96a2-a8082383c4a1
Single-cell multi-omics analysis of the immune response in COVID-19
c7775e88-49bf-4ba2-a03b-93f00447c958
647,366
ddfad306-714d-4cc0-9985-d9072820c530
Single-nucleus RNA-seq of the Adult Human Kidney (Version 1.5)
a12ccb9b-4fbe-457d-8590-ac78053259ef
304,989
0f528c8a-a25c-4840-8fa3-d156fa11086f
Sound Life Older Adult Females, CMV-negative
3cb646ab-d411-4e5b-89eb-082a786c953b
1,350,748
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Females, CMV-positive
aa32098f-f7b0-43f2-a00a-601d190aae94
2,596,111
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Males, CMV-negative
47e00f43-6176-44a5-b4d1-f88a1920fcab
1,750,565
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Males, CMV-positive
0c0c49a2-b96b-432f-98a4-1decf9929149
1,322,061
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Females, CMV-negative
46104f0b-9af5-466a-ae0f-56b8dc1969a2
2,616,824
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Females, CMV-positive
0a8e3443-c3e2-4918-84db-0495657d9175
1,234,234
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Males, CMV-negative
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
1,712,244
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Males, CMV-positive
5fde5c9c-5b1e-4df5-982a-3f8e7635161f
1,206,761
e9360edf-b0b7-4e01-bce8-e596814f13e7
Spatiotemporal analysis of human intestinal development at single-cell resolution: All cells
9d5df009-eb76-43a3-b6cd-22017cc53700
76,592
60358420-6055-411d-ba4f-e8ac80682a2e
Stromal Compartment
75011e96-ba37-4977-a539-fbf9f66a5e37
104,032
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Tabula Sapiens - All Cells
53d208b0-2cfd-4366-9866-c3c6114081bc
1,136,218
e5f58829-1a66-40b5-a624-9046778e74f5
Total - Cells of the human intestinal tract mapped across space and time
80a2c5b6-02e7-4fc0-9f12-179f5247c1bc
428,469
e33ffcd3-7cbf-4b8c-b0f4-85587ad5019a
Trabecular Meshwork and Corneal Scleral wedge
d967b47c-a9e6-4337-b2f4-977f690cb67f
52,309
63d03351-06be-478e-a0db-f7a653b6b19b
Transcriptomic Analysis of Air-Liquid Interface Culture in Human Lung Organoids Reveals Regulators of Epithelial Differentiation
ef1a4b05-540c-4f73-8ceb-49dfa800645d
5,594
e9cf4e8d-05ed-4d95-b550-af35ca219390
Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19
01ad3cd7-3929-4654-84c0-6db05bd5fd59
600,929
7d7cabfd-1d1f-40af-96b7-26a0825a306d
UMAP of Cancer Data integration
7bb64315-9e5a-41b9-9235-59acf9642a3e
293,823
a18474f4-ff1e-4864-af69-270b956cee5b
Urethral luminal epithelia are castration-insensitive cells of the proximal prostate - All Human Cells
8b2e5453-faf7-46ea-9073-aea69b283cb7
28,847
fbc5881f-1ee3-4ffe-8095-35e15e1a08fc
Whole Taxonomy - MTG: Seattle Alzheimer's Disease Atlas (SEA-AD)
c2876b1b-06d8-4d96-a56b-5304f815b99a
1,378,211
1ca90a2d-2943-483d-b678-b809bf464c30
all cells
cff99df2-4904-44f7-9173-ff837f95606e
424,528
0d35c0fd-ef0b-4b70-bce6-645a4660e5fa
fetal and neonatal human small intestine cells
3f32121d-126b-4e8d-9f69-d86502d2a1b1
36,359
7651ac1a-f947-463a-9223-a9e408a41989
human cHSPCs - Illumina
d9f3a82c-24bb-4277-b715-8ec92a33dd32
495,763
5542eeb0-96ef-4ab9-95ea-eb6abc178461
human cHSPCs - Ultima
4a5b00e0-1ba3-4fd4-af89-d3512eb20720
516,121
5542eeb0-96ef-4ab9-95ea-eb6abc178461
human endoderm organoid cell atlas
6725ee8e-ef5b-4e68-8901-61bd14a1fe73
806,646
6282a908-f162-44a2-99a3-8a942e4271b2
human_limb_scRNAseq
e595c979-c2de-4dad-8c02-8334a8e56de6
125,955
4fefa187-5d14-4f1e-915b-c892ed320aab
intestine_on_chip_IFN
51d9716c-50bb-4fd8-8d1e-7d9329969cb7
11,177
f30e0bf7-7b03-44b0-b312-cda799ef0240
intestine_on_chip_media
f7ca7eb9-0919-4eba-99a1-21ba382b4174
11,103
f30e0bf7-7b03-44b0-b312-cda799ef0240
multimodal benchmarking dataset for renal cortex characterization
60a29d0b-1a37-4447-ac32-00d701580b47
97,125
4cbb929b-b03b-4aa8-a943-00f61dc22641
organoid
8dc858b0-b076-4326-94bb-7c2d1cd721a3
8,556
ec329aed-22bc-4d6e-8935-8282dcb1acac
plaque atlas
72955cdb-bd92-4135-aa52-21f33f9640db
259,116
db70986c-7d91-49fe-a399-a4730be394ac
primary_trophoblast_organoid
ab326369-b63c-48d8-8a7f-82ffa0df7002
26,853
e2c257e7-6f79-487c-b81c-39451cd4ab3c
scRNA-seq analysis of human fallopian tubes in healthy Vs. hydrosalphinx states
b693123e-95e6-4331-8b50-f367489a767e
77,536
fc77d2ae-247d-44d7-aa24-3f4859254c2c
scRNA-seq data - all cells
842c6f5d-4a94-4eef-8510-8c792d1124bc
714,331
4195ab4c-20bd-4cd3-8b3d-65601277e731
scRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
8560f809-5794-484e-9152-b63efa91d134
332,995
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
scRNA-seq of human ocular surface: cornea, limbus, sclera – fetal data included
8ef06ea4-8d0f-4303-a652-7d4604402b1f
815,769
0f7d022a-46c7-4e64-be4c-e34adbb78089
scRNA-seq of human of the human retinal pigment epithelium and the choroid
5ed90bc0-12f3-4354-b314-0ce0dbb96458
182,151
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
scRNA-seq of lung biopsies from six human lung transplant cases
429d21fd-bb9a-4abf-922b-c15138524bdd
108,613
9f29fcd0-7075-4420-bd61-e2ec1aebad89
scRNA-seq of vascular tissue
43245158-5ae1-4e71-a9a6-67eef49c26bc
113,304
8f17ac63-aaba-44b5-9b78-60f121da4c2f
snRNA-seq data - all cells
7f08cbcc-5790-4576-8478-10e9a999b316
117,346
4195ab4c-20bd-4cd3-8b3d-65601277e731
snRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
978a566a-dc27-478d-b306-26daba116c1f
1,102,250
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
snRNA-seq of human ocular surface: cornea, limbus, sclera
8058d760-09e6-4bdd-86a1-36917ffca3ef
147,484
0f7d022a-46c7-4e64-be4c-e34adbb78089
snRNA-seq of human of the human retinal pigment epithelium and the choroid - fetal data included
1a9f3b38-b86d-416d-bbdc-9058ad3ff42d
851,993
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
snRNA-seq of human optic nerve and optic nerve head - all cells
3c364ffe-d599-44d5-a77f-6c5fd7038cf6
959,629
05e3d0fc-c9dd-4f14-9163-2b242b3bb5c2
snRNA-seq of human retina - all cells
d6505c89-c43d-4c28-8c4f-7351a5fd5528
3,177,310
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
snRNA-seq of the human quadriceps tendon
acd544d0-4d8b-46c7-98b3-fc48f7e6fdb7
12,808
579203e2-182f-47bc-8230-7aa47247e2a4
thymus scRNA-seq atlas
29244e1d-02e6-4133-b411-516ef7474638
482,651
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
white matter - all cells
c05e6940-729c-47bd-a2a6-6ce3730c4919
45,528
9d63fcf1-5ca0-4006-8d8f-872f3327dbe9