3-prime FGID data
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
89,849
a064d795-3b77-44ae-9fb5-beb57c567443
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
A (Balanced) Bone Marrow Reference Map of Hematopoietic Development
cd2f23c1-aef1-48ae-8eb4-0bcf124e567d
263,159
f6c50495-3361-40ed-a819-fb9644396ed9
A molecular cell atlas of endocrine signalling in human neural organoids
64267fb5-7b70-4705-a13b-cc38966c22a8
163,714
2bebc4ae-69a2-4001-9d2f-091ec9b4020c
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 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
Activated PBMCs - Expanded cohort CITE-seq
3c75a463-6a87-4132-83a8-c3002624394d
95,064
bf325905-5e8e-42e3-933d-9a9053e9af80
Activated PBMCs - Twins scRNA-seq
d7d7e89c-c93a-422d-8958-9b4a90b69558
16,901
bf325905-5e8e-42e3-933d-9a9053e9af80
Airway
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
236,977
03f821b4-87be-4ff4-b65a-b5fc00061da7
All Cells
16023185-de21-4c0d-a9c8-73abdd52d142
370,115
4d82bd8e-8827-410b-8fc7-685b7dd92585
All Cells - snRNA-seq
ac0c6561-7a48-4185-af6f-af799f699172
432,555
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
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 from human cardiac tissue with myocarditis and healthy controls
fe7aae33-6f7c-41a5-8d29-9996a9ddf1ab
205,596
328d71f0-0ed7-4518-966f-be6bd0797324
All cells from human liver dataset
e84f2780-51e8-4cfa-8aa0-13bbfef677c7
167,598
74e10dc4-cbb2-4605-a189-8a1cd8e44d8c
All cells type from five healthy donors
8f3e7fcf-0b16-4a29-a5f1-a7a8b267d689
50,992
ab6823e0-506e-461b-b1f9-d30e69a01687
All donors all cell states (in vivo)
74cff64f-9da9-4b2a-9b3b-8a04a1598040
325,665
e2c257e7-6f79-487c-b81c-39451cd4ab3c
All major cell types in adult human retina
0129dbd9-a7d3-4f6b-96b9-1da155a93748
244,474
af893e86-8e9f-41f1-a474-ef05359b1fb7
All — Cells of the adult human heart
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
486,134
b52eb423-5d0d-4645-b217-e1c6d38b2e72
Amacrine cells of the human fovea and peripheral retina
5cdbb2ea-c622-466d-9ead-7884ad8cb99f
13,607
1d1c7275-476a-49e2-9022-ad1b1c793594
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
Bipolar cells of the human fovea and peripheral retina
8623d55f-d91c-41c2-ae68-ed2072fd268d
25,908
1d1c7275-476a-49e2-9022-ad1b1c793594
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
CD19-CARpos and CARneg T cells
460dfe21-0550-4521-92fe-db0f3036d8b0
18,122
14dc301f-d4fb-4743-a590-aa88d5f1df1a
CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)
471647b3-04fe-4c76-8372-3264feb950e8
27,998
793fdaec-5067-428a-a9db-ecefe135c945
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
Circulating Immune cells -- CV19 infection, vaccination and HC
242c6e7f-9016-4048-af70-d631f5eea188
189,902
ecb739c5-fe0d-4b48-81c6-217c4d64eec4
Colon
2872f4b0-b171-46e2-abc6-befcf6de6306
41,650
7681c7d7-0168-4892-a547-6f02a6430ace
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
Endothelial cells from human healthy donor liver samples
4ce8d8ec-b94c-4b79-afcb-b094336d8a78
9,422
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Epithelial Compartment
ed880090-465d-4477-9d98-70838ca288e3
242,613
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Extended+ - 18485 genes
19053a82-9c89-4fb8-bd19-d7b1800b0b7b
1,596,200
f11cb29c-b546-4738-9bd8-66ea621a7bd5
Fallopian tube RNA
90d4a63b-5c02-43eb-acde-c49345681601
60,574
d36ca85c-3e8b-444c-ba3e-a645040c6185
Fallopian tube samples from pre- and post-menopausal humans
0436a180-cb44-47ba-8ffa-807b7a468469
131,218
380ade76-e561-49a8-afb2-0f10b39c2c72
Fetal Bone Marrow (10x)
1a2e3350-28a8-4f49-b33c-5b67ceb001f6
103,228
793fdaec-5067-428a-a9db-ecefe135c945
Fetal kidney dataset: full
d7dcfd8f-2ee7-4385-b9ac-e074c23ed190
27,197
120e86b4-1195-48c5-845b-b98054105eec
Figure 1
5d3fc988-765d-48ba-bfb5-151ef2988cac
49,109
7dd599c5-d25d-40c0-b1a6-8789791ca808
Figure 1 - A cell atlas of human thymic development defines T cell repertoire formation
cda2c8cd-be1c-42e5-b2cd-162caa1c4ce7
255,901
de13e3e2-23b6-40ed-a413-e9e12d7d3910
Figure 3
e500acbf-f166-4c46-b290-f93506cf26d3
37,428
7dd599c5-d25d-40c0-b1a6-8789791ca808
Fresh samples (single cell)
6c87755e-a671-41a8-9c7e-4e43b850a57b
157,531
a96133de-e951-4e2d-ace6-59db8b3bfb1d
Frontal cortex samples from C9-ALS, C9-ALS/FTD and age matched control brains
98f5d518-1e60-4307-b732-ab045cd3cbc2
160,658
aee9c366-f2fb-470b-8937-577d5d87d3fc
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 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
Global dataset of infant KMT2Ar B-ALL
cf83c98a-3791-4537-bbde-a719f6d73c13
128,588
10ec9198-584e-4a7e-8a24-4a332915a4ef
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
Human CellCards Multi-Study CellRef 1.0 Atlas
eb499fd8-7000-419f-8854-926b9b61b11f
347,970
f86d6317-7215-409e-bfda-3f4ded3dadaa
Human Fetal Bone Marrow (CITE-seq)
343ff97c-85df-494b-8400-beb937618611
8,978
793fdaec-5067-428a-a9db-ecefe135c945
Human Fetal Retina Atlas
aecc2743-4ff2-4b55-ac8c-a1ff76fc4bb4
108,838
c11009b8-b113-4a99-9890-78b2f9df9d79
Human HYPOMAP single-nucleus data
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
433,369
d0941303-7ce3-4422-9249-cf31eb98c480
Human Non-DA Neurons 10x scRNA-seq
251b1a7e-d050-4486-8d50-4c2619eb0f46
91,479
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Nurr-Positive Nuclei 10x scRNA-seq
92161459-9103-4379-ae34-73a38eee1d1d
80,576
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
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 adult ureter
3e524d45-2265-4440-b903-3c30d51a0b17
30,942
af286675-7167-4816-a907-c72d41b73d37
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 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
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
Lung
2f132ec9-24b5-422f-9be0-ccef03b4fe28
39,778
6ff3401b-d72c-4940-a00c-3f0792397082
MSK SPECTRUM – All cells
b252b015-b488-4d5c-b16e-968c13e48a2c
927,205
4796c91c-9d8f-4692-be43-347b1727f9d8
Mature kidney dataset: full
9ea768a2-87ab-46b6-a73d-c4e915f25af3
40,268
120e86b4-1195-48c5-845b-b98054105eec
Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease: Entorhinal Cortex
2727d83a-0af0-443a-bff8-58dc7028289a
42,528
180bff9c-c8a5-4539-b13b-ddbc00d643e6
Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease: Superior frontal gyrus
6c600df6-ddca-4628-a8bb-1d6de1e3f9b4
63,608
180bff9c-c8a5-4539-b13b-ddbc00d643e6
Non-neuronal cells of the human fovea and peripheral retina
bc7260e0-54cf-4b0b-823d-93f5b850f757
22,125
1d1c7275-476a-49e2-9022-ad1b1c793594
Non-pregnant Uterus (Endometrium - All)
9ddea8d9-cc4c-420a-90f6-880996f808d4
100,307
32f2fd23-ec74-486f-9544-e5b2f41725f5
Non-pregnant Uterus (Endometrium - Organoid)
76150f40-1989-4977-9e23-696e72d59d9e
118,672
32f2fd23-ec74-486f-9544-e5b2f41725f5
Occipital cortex samples from C9-ALS, C9-ALS/FTD and age matched control brains
0bc7235a-ae5a-479d-a487-510435377e55
120,807
aee9c366-f2fb-470b-8937-577d5d87d3fc
Occipital cortex samples from C9-FTD and age matched control brains
e6361237-ac4e-4c5d-ad8f-f16aca0c0a8f
66,719
aee9c366-f2fb-470b-8937-577d5d87d3fc
Olah et al (2020) Single-cell Human Microglia
a1b9c51e-a408-4f7f-bccb-abefe20ae2a5
16,245
fcb3d1c1-03d2-41ac-8229-458e072b7a1c
Ovarian tissue from donor 5
d3d4baff-d142-4f13-acc6-96a4ef6a3e95
6,339
6686ada5-43a8-40b6-9a05-6894503606db
Ovary RNA
d1207c81-7309-43a7-a5a0-f4283670b62b
26,134
d36ca85c-3e8b-444c-ba3e-a645040c6185
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
Paediatric Human Gut (4-14y)
8e47ed12-c658-4252-b126-381df8d52a3d
22,502
17481d16-ee44-49e5-bcf0-28c0780d8c4a
Photoreceptor cells of the human fovea and peripheral retina
7b75b2c4-6d99-40be-9a61-391455d859e6
9,070
1d1c7275-476a-49e2-9022-ad1b1c793594
Pregnant Uterus (All)
5bc42b88-bb76-4954-927b-8bb7369adc64
70,325
a9254216-6cd8-4186-b32c-349363777584
Second Trimester Human Developing Brain Regions and Cortical Areas
ae4f8ddd-cac9-4172-9681-2175da462f2e
457,965
c8565c6a-01a1-435b-a549-f11b452a83a8
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 sequencing of follicular lymphoma
99950e99-2758-41d2-b2c9-643edcdf6d82
137,147
968834a0-1895-40df-8720-666029b3bbac
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-Cell Transcriptome Profiling of Immature Human Thymocytes
11ff73e8-d3e4-4445-9309-477a2c5be6f6
71,732
83ed3be8-4cb9-43e6-9aaa-3fbbf5d1bd3a
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-cell reconstruction of follicular remodeling in the human adult ovary
1f1c5c14-5949-4c81-b28e-b272e271b672
20,676
2902f08c-f83c-470e-a541-e463e25e5058
Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming
124744b8-4681-474a-9894-683896122708
15,457
c353707f-09a4-4f12-92a0-cb741e57e5f0
Single-nucleus RNA-seq of the Adult Human Kidney (Version 1.5)
a12ccb9b-4fbe-457d-8590-ac78053259ef
304,989
0f528c8a-a25c-4840-8fa3-d156fa11086f
Single-nucleus cross-tissue molecular reference maps to decipher disease gene function
4ed927e9-c099-49af-b8ce-a2652d069333
209,126
a3ffde6c-7ad2-498a-903c-d58e732f7470
Single-nucleus transcriptome data from the dlPFC: Human
3c361813-5d5e-4868-bfe5-e7591e7b5381
172,120
e1fa9900-3fc9-4b57-9dce-c95724c88716
Single-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Excitatory
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96,129
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Sound Life Older Adult Females, CMV-negative
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1,350,748
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Sound Life Older Adult Females, CMV-positive
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2,596,111
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Males, CMV-negative
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1,750,565
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Sound Life Older Adult Males, CMV-positive
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1,322,061
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Sound Life Young Adult Females, CMV-negative
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2,616,824
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Females, CMV-positive
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1,234,234
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Sound Life Young Adult Males, CMV-negative
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1,712,244
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Sound Life Young Adult Males, CMV-positive
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1,206,761
e9360edf-b0b7-4e01-bce8-e596814f13e7
TI epithelial
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154,136
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TI immune
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201,072
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
The regulatory landscapes of the human ovarian aging(snRNA-seq)
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42,568
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Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Adaptive Cells
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246,964
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Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Innate Cells
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125,117
ed9185e3-5b82-40c7-9824-b2141590c7f0
Total - Cells of the human intestinal tract mapped across space and time
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428,469
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UMAP of Cancer Data integration
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293,823
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UMAP visualization of all 12 datasets
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15,243
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Whole Taxonomy - DLPFC: Seattle Alzheimer's Disease Atlas (SEA-AD)
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1,395,601
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Whole Taxonomy - MTG: Seattle Alzheimer's Disease Atlas (SEA-AD)
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1,378,211
1ca90a2d-2943-483d-b678-b809bf464c30
all cells
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424,528
0d35c0fd-ef0b-4b70-bce6-645a4660e5fa
ccRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
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20,509
1df8c90d-d299-4b2e-a54d-a5a80f36e780
colon epithelial
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97,788
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
colon immune
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152,509
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
fetal and neonatal human small intestine cells
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36,359
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human cHSPCs - Illumina
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495,763
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human cHSPCs - Ultima
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516,121
5542eeb0-96ef-4ab9-95ea-eb6abc178461
multimodal benchmarking dataset for renal cortex characterization
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97,125
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multiplexed scRNA-seq of 1.2 million PBMCs from adult lupus samples
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1,263,676
436154da-bcf1-4130-9c8b-120ff9a888f2
nygc multimodal pbmc
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161,764
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plaque atlas
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259,116
db70986c-7d91-49fe-a399-a4730be394ac
scRNA-seq analysis of human fallopian tubes in healthy Vs. hydrosalphinx states
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77,536
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scRNA-seq data - all cells
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714,331
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scRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
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332,995
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
scRNA-seq of human ocular surface: cornea, limbus, sclera – fetal data included
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815,769
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scRNA-seq of human of the human retinal pigment epithelium and the choroid
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182,151
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snRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
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1,102,250
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
snRNA-seq of human of the human retinal pigment epithelium and the choroid - fetal data included
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851,993
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
snRNA-seq of human retina - all cells
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3,177,310
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
thymus scRNA-seq atlas
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482,651
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white matter - all cells
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45,528
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