SOURCE METADATA
Project: CM4AI
Source ID: october_2025_dataverse_release
Source type: data resource
Source URL: https://dataverse.lib.virginia.edu/dataset.xhtml?persistentId=doi:10.18130/V3/K7TGEM
Raw file: data/raw/CM4AI/dataverse_10.18130_V3_K7TGEM_row16.html
--------------------------------------------------------------------------------
Cell Maps for Artificial Intelligence - October 2025 Data Release (Beta) - Cell Maps for Artificial Intelligence
Skip to main content
Toggle navigation
Search
Search
About
User Guide
Support
Log In
Cell Maps for Artificial Intelligence
This collection is under review for potential modification in compliance with Administration directives.
University of Virginia Dataverse
>
LibraData: UVa's Scholarly Research
>
School of Medicine
>
Cell Maps for Artificial Intelligence
>
Cell Maps for Artificial Intelligence - October 2025 Data Release (Beta)
Version 2.1
Clark, T; Parker, J; Al Manir, S; Axelsson, U; Ballllosero Navarro, F; Chinn, B; Churas, CP; Dailamy, A; Doctor, Y; Fall, J; Forget, A; Gao, J; Hansen, JN; Hu, M; Johannesson, A; Khaliq, H; Lee, YH; Lenkiewicz, J; Levinson, MA; Marquez, C; Metallo, C; Muralidharan, M; Nourreddine, S; Niestroy, J; Obernier, K; Pan, E; Polacco, B; Pratt, D; Qian, G; Schaffer, L; Sigaeva, A; Thaker, S; Zhang, Y; Bélisle-Pipon, JC; Brandt, C; Chen, JY; Ding, Y; Fodeh, S; Krogan, N; Lundberg, E; Mali, P; Payne-Foster, P; Ratcliffe, S; Ravitsky, V; Sali, A; Schulz, W; Ideker, T, 2025, "Cell Maps for Artificial Intelligence - October 2025 Data Release (Beta)",
https://doi.org/10.18130/V3/K7TGEM
, University of Virginia Dataverse, V2
Cite Dataset
Download EndNote XML
Download RIS
Download BibTeX
View Styled Citation
Learn about
Data Citation Standards
.
Access Dataset
The dataset is too large to download. Please select the files you need from the files table.
Contact Owner
Share
Dataset Metrics
405 Downloads
Dataset Description
Description
This dataset is the October 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. CM4AI is generating multi-modal data including protein-protein interaction (PPI), spatial localization, and genetic perturbation data in MDA-MB-468 breast cancer cells (+/- paclitaxel or vorinostat) and iPSCs (+/- differentiation). This Beta release includes:
Perturb-seq data for MDA-MB-468 breast cancer cells +/- treatment and undifferentiated (parental) KOLF2.1J iPSCs
SEC-MS data for MDA-MB-468 breast cancer cells +/- treatment, undifferentiated KOLF2.1J iPSCs, and iPSC-derived neuron progenitor cells (NPCs), neurons, and cardiomyocytes
IF images in MDA-MB-468 breast cancer cells +/- treatment
External Data Links
Access external data resources related to this dataset:
Perturb-seq data in KOLF2.1J iPSCs (undifferentiated):
Embargoed
Perturb-seq data in MDA-MB-468 breast cancer cells (+/- treatment):
Embargoed
SEC-MS data in KOLF2.1J iPSCs (undifferentiated, NPC, neuron, and cardiomyocyte):
MassIVE Repository
SEC-MS data in MDA-MB-468 breast cancer cells (+/- treatment):
MassIVE Repository
Data Governance & Ethics
Human Subjects:
No
De-identified Samples:
Yes
FDA Regulated:
No
Data Governance Committee:
Jillian Parker (jillianparker@health.ucsd.edu)
Ethical Review:
Vardit Ravitsky (ravitskyv@thehastingscenter.org) and Jean-Christophe Belisle-Pipon (jean-christophe_belisle-pipon@sfu.ca)
Completeness
These data are not yet in completed final form:
Some datasets are under temporary pre-publication embargo
Protein-protein interaction (SEC-MS), protein localization (IF imaging), and CRISPRi perturbSeq data interrogate sets of proteins which incompletely overlap
Computed cell maps not included in this release
Maintenance Plan
Dataset will be regularly updated and augmented through the end of the project in November 2026
Updates on a quarterly basis
Long term preservation in the University of Virginia Dataverse, supported by committed institutional funds
Intended Use
This dataset is intended for:
AI-ready datasets to support research in functional genomics
AI model training
Cellular process analysis
Cell architectural changes and interactions in presence of specific disease processes, treatment conditions, or genetic perturbations
Limitations
Researchers should be aware of inherent limitations:
This is an interim release
Does not contain predicted cell maps, which will be added in future releases
The current release is most suitable for bioinformatics analysis of the individual datasets
Requires domain expertise for meaningful analysis
Prohibited Uses
These laboratory data are not to be used in clinical decision-making or in any context involving patient care without appropriate regulatory oversight and approval
Potential Sources of Bias
Users should be aware of potential biases:
Data in this release was derived from commercially available de-identified human cell lines
Does not represent all biological variants which may be seen in the population at large
(2025-06-30)
Subject
Medicine, Health and Life Sciences
Keyword
AI, affinity purification, AP-MS, artificial intelligence, breast cancer, Bridge2AI, cardiomyocyte, CM4AI, CRISPR/Cas9, induced pluripotent stem cell, iPSC, KOLF2.1J, machine learning, mass spectroscopy, MDA-MB-468, neural progenitor cell, NPC, neuron, paclitaxel, perturb-seq, perturbation sequencing, protein-protein interaction, protein localization, single-cell RNA sequencing, scRNAseq, SEC-MS, size exclusion chromatography, subcellular imaging, vorinostat
Related Publication
References: Clark T, Parker J, Schaffer L, Obernier K, Al Manir S, Churas CP, Dailamy A, Doctor Y, Forget A, Hansen JN, Hu M, Lenkiewicz J, Levinson MA, Marquez C, Nourreddine S, Niestroy J, Pratt D, Qian G, Thaker S, Bélisle-Pipon JC, Brandt C, Chen J, Ding Y, Fodeh S, Krogan N, Lundberg E, Mali P, Payne-Foster P, Ratcliffe S, Ravitsky V, Sali A, Schulz W, Ideker T. Cell Maps for Artificial Intelligence: AI-Ready Maps of Human Cell Architecture from Disease-Relevant Cell Lines. 2024.doi: http://doi.org/10.1101/2024.05.21.589311
License/Data Use Agreement
CC BY-NC-SA 4.0
ui-button
Files
Metadata
Terms
Versions
Change View
Table
Tree
Search
Filter by
File Type:
All
All
Archive (8)
Access:
All
All
Public (8)
Sort
Name (A-Z)
Name (Z-A)
Newest
Oldest
Size
Type
1 to 8 of 8 Files
Download
cm4ai_mass-spec_KOLF2.zip
ZIP Archive
- 23.8 MB
Published Oct 31, 2025
51 Downloads
MD5: fb04933a21e4395cce56930a014c6b4e
This dataset was generated by size exclusion chromatography-mass spectroscopy (SEC-MS) on undifferentiated KOLF2.1J human induced pluripotent stem cells (hiPSCs), in the Nevan Krogan laboratory at the University of California San Francisco.
Preview "cm4ai_mass-spec_KOLF2.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_mass-spec_MDA-MB-468.zip
ZIP Archive
- 23.0 MB
Published Oct 31, 2025
43 Downloads
MD5: 662d62ced9d379f7024e5c6d55859fbb
This dataset was generated by size exclusion chromatography-mass spectroscopy (SEC-MS) following the treatment of vorinostat or paclitaxel on MDA-MB468 human breast cancer cells, in the Nevan Krogan laboratory at the University of California San Francisco.
Preview "cm4ai_mass-spec_MDA-MB-468.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_perturb-seq_KOLF2_cell_atlas.zip
ZIP Archive
- 24.6 KB
Published Oct 31, 2025
49 Downloads
MD5: 15dc59312466dbfac85f59b57d27eee6
This dataset represents an expressed genome-scale CRISPRi Perturbation Cell Atlas in KOLF2.1J human induced pluripotent stem cells (hiPSCs) mapping transcriptional and fitness phenotypes associated with 11,739 targeted genes.
Preview "cm4ai_perturb-seq_KOLF2_cell_atlas.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_perturb-seq_KOLF2_raw_sra.zip
ZIP Archive
- 79.6 KB
Published Dec 22, 2025
32 Downloads
MD5: 1cfc4e8e2ead7513a035cc7730046ebb
This dataset represents raw sequence data from an expressed genome-scale CRISPRi Perturbation Cell Atlas in KOLF2.1J human induced pluripotent stem cells (hiPSCs) mapping transcriptional and fitness phenotypes associated with 11,739 targeted genes.
Preview "cm4ai_perturb-seq_KOLF2_raw_sra.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_release_metadata.zip
ZIP Archive
- 203.5 KB
Published Dec 22, 2025
47 Downloads
MD5: c14cc7aaaa0e7231a0d3ec296ff58518
Preview "cm4ai_release_metadata.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_ifimages_MDA-MB-468_paclitaxel.zip
Images/
ZIP Archive
- 3.8 GB
Published Oct 31, 2025
53 Downloads
MD5: 0d972b80744344ddeede516a0cf6e3d7
This data set displays the spatial localization of 464 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated with paclitaxel as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel).
Preview "Images/cm4ai_ifimages_MDA-MB-468_paclitaxel.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_ifimages_MDA-MB-468_untreated.zip
Images/
ZIP Archive
- 4.6 GB
Published Oct 31, 2025
59 Downloads
MD5: a98affcc05429650c6bb3906cd836d55
This data set displays the spatial localization of 464 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel).
Preview "Images/cm4ai_ifimages_MDA-MB-468_untreated.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
cm4ai_ifimages_MDA-MB-468_vorinostat.zip
Images/
ZIP Archive
- 4.2 GB
Published Oct 31, 2025
44 Downloads
MD5: ad4e68ccc14b0f3349dad3321e7b81b2
This data set displays the spatial localization of 464 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated with vorinostat as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel).
Preview "Images/cm4ai_ifimages_MDA-MB-468_vorinostat.zip"
Access File
File Access
Public
Download Options
ZIP Archive
Download Metadata
Data File Citation
Download EndNote XML
Download RIS
Download BibTeX
Export Metadata
OAI_ORE
DataCite
OpenAIRE
Schema.org JSON-LD
DDI Codebook v2
Dublin Core
Croissant
DDI HTML Codebook
JSON
Citation Metadata
Persistent Identifier
doi:10.18130/V3/K7TGEM
Publication Date
2025-10-31
Title
Cell Maps for Artificial Intelligence - October 2025 Data Release (Beta)
Author
Clark, T
University of Virginia
ORCID
https://orcid.org/0000-0003-4060-7360
Parker, J
University of California, San Diego
ORCID
https://orcid.org/0000-0003-4535-3486
Al Manir, S
University of Virginia
ORCID
https://orcid.org/0000-0003-4647-3877
Axelsson, U
KTH Royal Institute of Technology,
Ballllosero Navarro, F
Stanford University
ORCID
https://orcid.org/0000-0002-4180-422X
Chinn, B
University of California San Diego
Churas, CP
University of California San Diego
https://orcid.org/0000-0001-9998-705X
Dailamy, A
University of California, San Diego
ORCID
https://orcid.org/0000-0002-6711-8260
Doctor, Y
University of California, San Diego
ORCID
https://orcid.org/0009-0009-0483-7506
Fall, J
KTH - Royal Institute of Technology
Forget, A
University of California San Francisco
ORCID
https://orcid.org/0000-0003-0223-0312
Gao, J
University of California San Diego
ORCID
https://orcid.org/0000-0002-6311-3526
Hansen, JN
Stanford University
ORCID
https://orcid.org/0000-0002-4650-9094
Hu, M
University of California San Diego
https://orcid.org/0000-0002-1571-8029
Johannesson, A
KTH - Royal Institute of Technology
Khaliq, H
University of California San Diego
Lee, YH
University of California San Diego
ORCID
https://orcid.org/0000-0003-0917-355X
Lenkiewicz, J
University of California San Diego
https://orcid.org/0000-0001-7252-8638
Levinson, MA
University of Virginia
ORCID
https://orcid.org/0000-0003-0384-8499
Marquez, C
University of California San Diego
ORCID
0000-0003-3960-420X
Metallo, C
University of California San Diego
ORCID
https://orcid.org/0000-0003-2404-3040
Muralidharan, M
University of California San Francisco
Nourreddine, S
University of California San Diego
https://orcid.org/0000-0003-3881-7588
Niestroy, J
University of Virginia
ORCID
https://orcid.org/0000-0002-1103-3882
Obernier, K
University of California San Francisco
ORCID
https://orcid.org/0000-0002-4025-1299
Pan, E
University of California San Diego
Polacco, B
University of California San Francisco
Pratt, D
University of California San Diego
ORCID
https://orcid.org/0000-0002-1471-9513
Qian, G
University of California San Diego
ORCID
https://orcid.org/0009-0005-4217-2745
Schaffer, L
University of California San Diego
ORCID
https://orcid.org/0000-0001-6339-9141
Sigaeva, A
KTH Royal Institute of Technology
ORCID
https://orcid.org/0000-0003-3361-3797
Thaker, S
University of Alabama at Birmingham
ORCID
https://orcid.org/0000-0001-6730-2773
Zhang, Y
University of California San Diego
Bélisle-Pipon, JC
Simon Fraser University
ORCID
https://orcid.org/0000-0002-8965-8153
Brandt, C
Yale University
ORCID
https://orcid.org/0000-0001-8179-1796
Chen, JY
The University of Alabama at Birmingham
ORCID
https://orcid.org/0000-0002-6112-415X
Ding, Y
University of Texas at Austin
ORCID
https://orcid.org/0000-0003-2567-2009
Fodeh, S
Yale University
ORCID
https://orcid.org/0000-0003-4664-3143
Krogan, N
University of California San Francisco
ORCID
https://orcid.org/0000-0003-4902-337X
Lundberg, E
Stanford University
ORCID
https://orcid.org/0000-0001-7034-0850
Mali, P
University of California San Diego
https://orcid.org/0000-0002-3383-1287
Payne-Foster, P
University of Alabama
ORCID
https://orcid.org/0000-0002-3508-3577
Ratcliffe, S
University of Virginia
ORCID
https://orcid.org/0000-0002-6644-8284
Ravitsky, V
University of Montreal
ORCID
https://orcid.org/0000-0002-7080-8801
Sali, A
University of California San Diego
ORCID
https://orcid.org/0000-0003-0435-6197
Schulz, W
Yale University
ORCID
https://orcid.org/0000-0002-2048-4028
Ideker, T
University of California San Diego
ORCID
https://orcid.org/0000-0002-1708-8454
Point of Contact
Use email button above to contact.
Ideker, Trey (University of California San Diego)
Dataset Description
Description
This dataset is the October 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. CM4AI is generating multi-modal data including protein-protein interaction (PPI), spatial localization, and genetic perturbation data in MDA-MB-468 breast cancer cells (+/- paclitaxel or vorinostat) and iPSCs (+/- differentiation). This Beta release includes:
Perturb-seq data for MDA-MB-468 breast cancer cells +/- treatment and undifferentiated (parental) KOLF2.1J iPSCs
SEC-MS data for MDA-MB-468 breast cancer cells +/- treatment, undifferentiated KOLF2.1J iPSCs, and iPSC-derived neuron progenitor cells (NPCs), neurons, and cardiomyocytes
IF images in MDA-MB-468 breast cancer cells +/- treatment
External Data Links
Access external data resources related to this dataset:
Perturb-seq data in KOLF2.1J iPSCs (undifferentiated):
Embargoed
Perturb-seq data in MDA-MB-468 breast cancer cells (+/- treatment):
Embargoed
SEC-MS data in KOLF2.1J iPSCs (undifferentiated, NPC, neuron, and cardiomyocyte):
MassIVE Repository
SEC-MS data in MDA-MB-468 breast cancer cells (+/- treatment):
MassIVE Repository
Data Governance & Ethics
Human Subjects:
No
De-identified Samples:
Yes
FDA Regulated:
No
Data Governance Committee:
Jillian Parker (jillianparker@health.ucsd.edu)
Ethical Review:
Vardit Ravitsky (ravitskyv@thehastingscenter.org) and Jean-Christophe Belisle-Pipon (jean-christophe_belisle-pipon@sfu.ca)
Completeness
These data are not yet in completed final form:
Some datasets are under temporary pre-publication embargo
Protein-protein interaction (SEC-MS), protein localization (IF imaging), and CRISPRi perturbSeq data interrogate sets of proteins which incompletely overlap
Computed cell maps not included in this release
Maintenance Plan
Dataset will be regularly updated and augmented through the end of the project in November 2026
Updates on a quarterly basis
Long term preservation in the University of Virginia Dataverse, supported by committed institutional funds
Intended Use
This dataset is intended for:
AI-ready datasets to support research in functional genomics
AI model training
Cellular process analysis
Cell architectural changes and interactions in presence of specific disease processes, treatment conditions, or genetic perturbations
Limitations
Researchers should be aware of inherent limitations:
This is an interim release
Does not contain predicted cell maps, which will be added in future releases
The current release is most suitable for bioinformatics analysis of the individual datasets
Requires domain expertise for meaningful analysis
Prohibited Uses
These laboratory data are not to be used in clinical decision-making or in any context involving patient care without appropriate regulatory oversight and approval
Potential Sources of Bias
Users should be aware of potential biases:
Data in this release was derived from commercially available de-identified human cell lines
Does not represent all biological variants which may be seen in the population at large
(2025-06-30)
Subject
Medicine, Health and Life Sciences
Keyword
AI
http://purl.obolibrary.org/obo/NCIT_C16309
(NCI Thesaurus)
affinity purification
http://www.bioassayontology.org/bao#BAO_0002603
(BioAssay Ontology (BAO))
AP-MS
http://www.ebi.ac.uk/swo/SWO_1100012
(Software Ontology)
artificial intelligence
http://purl.obolibrary.org/obo/NCIT_C16309
(NCI Thesaurus)
breast cancer
http://purl.bioontology.org/ontology/LNC/LA14283-8
(LOINC)
Bridge2AI
cardiomyocyte
http://purl.obolibrary.org/obo/CL_0000746
CM4AI
CRISPR/Cas9
http://www.bioassayontology.org/bao#BAO_0010249
(Bioassay Ontology (BAO))
induced pluripotent stem cell
http://www.ebi.ac.uk/efo/EFO_0004905
(Experimental Factor Ontology (EFO))
iPSC
http://www.ebi.ac.uk/efo/EFO_0004905
(Experimental Factor Ontology (EFO))
KOLF2.1J
machine learning
http://purl.obolibrary.org/obo/OBI_0002587
(Ontology of Biomedical Investigations (OBI))
http://purl.obolibrary.org/obo/obi.owl
mass spectroscopy
http://purl.bioontology.org/ontology/MESH/D013058
(Medical Subject Headings (MeSH))
MDA-MB-468
neural progenitor cell
http://purl.obolibrary.org/obo/CL_0011020
(Cell Ontology (CL))
NPC
http://purl.obolibrary.org/obo/CL_0011020
(Cell Ontology (CL))
http://purl.obolibrary.org/obo/cl.owl
neuron
http://purl.obolibrary.org/obo/CL_0000540
(Cell Ontology (CL))
http://purl.obolibrary.org/obo/cl.owl
paclitaxel
http://purl.obolibrary.org/obo/CHEBI_45863
(Chemical Entitites of Biological Interest (CHEBI))
perturb-seq
http://www.ebi.ac.uk/efo/EFO_0008860
(Experimental Factor Ontology (EFO))
perturbation sequencing
http://www.ebi.ac.uk/efo/EFO_0008860
(Experimental Factor Ontology (EFO))
protein-protein interaction
http://purl.obolibrary.org/obo/NCIT_C18469
(NCI Thesaurus (NCIT))
protein localization
http://purl.obolibrary.org/obo/GO_0008104
(Gene Ontology (GO))
http://purl.obolibrary.org/obo/go/extensions/go-plus.owl
single-cell RNA sequencing
http://www.ebi.ac.uk/efo/EFO_0008913
(Experimental Factor Ontology (EFO))
scRNAseq
http://www.ebi.ac.uk/efo/EFO_0008913
(Experimental Factor Ontology (EFO))
SEC-MS
size exclusion chromatography
subcellular imaging
vorinostat
http://purl.obolibrary.org/obo/CHEBI_45716
(Chemical Entitites of Biological Interest (CHEBI))
Related Publication
References: Clark T, Parker J, Schaffer L, Obernier K, Al Manir S, Churas CP, Dailamy A, Doctor Y, Forget A, Hansen JN, Hu M, Lenkiewicz J, Levinson MA, Marquez C, Nourreddine S, Niestroy J, Pratt D, Qian G, Thaker S, Bélisle-Pipon JC, Brandt C, Chen J, Ding Y, Fodeh S, Krogan N, Lundberg E, Mali P, Payne-Foster P, Ratcliffe S, Ravitsky V, Sali A, Schulz W, Ideker T. Cell Maps for Artificial Intelligence: AI-Ready Maps of Human Cell Architecture from Disease-Relevant Cell Lines. 2024. doi http://doi.org/10.1101/2024.05.21.589311
Nourreddine S, Doctor Y, Dailamy A, Forget A, Lee YH, Chinn B, Khaliq H, Polacco B, Muralidharan M, Pan E, Zhang Y, Sigaeva A, Hansen JN, Gao J, Parker JA, Obernier K, Clark T, Chen JY, Metallo C, Lundberg E, Ideker T, Krogan N, Mali P. A PERTURBATION CELL ATLAS OF HUMAN INDUCED PLURIPOTENT STEM CELLS. bioRxiv. 2024 Nov 4;2024.11.03.621734. PMCID: PMC11580897 doi https://doi.org/10.1101/2024.11.03.621734
Data Creation Date
2025-02-27
Production Location
University of California San Diego; University of California San Francisco; Stanford University; University of Virginia
Funding Information
National Institutes of Health: 1OT2OD032742-01
Depositor
Niestroy, Justin
Deposit Date
2025-02-27
Dataset Terms
License/Data Use Agreement
Our
Community Norms
as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.
CC BY-NC-SA 4.0
View Differences
Direct
Dataset Version
Summary
Contributors
Published on
No records found.
Edit File
This file has already been deleted (or replaced) in the current version. It may not be edited.
Close
Restrict Access
Restricting limits access to published files. People who want to use the restricted files can request access by default.
If you disable request access, you must add information about access to the Terms of Access field.
Learn about restricting files and dataset access in the
User Guide
.
Request Access
Enable access request
You must enable request access or add terms of access to restrict file access.
Terms of Access for Restricted Files
Save Changes
Cancel
Edit Embargo
The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.
Cancel
Edit Retention Period
The selected file or files have already been published. Contact an administrator to change the retention period date or reason of the file or files.
Cancel
Delete Files
The file will be deleted after you click on the Delete button.
Files will not be removed from previously published versions of the dataset.
Delete
Cancel
Continue
Cancel
Select File(s)
Please select one or more files.
Close
Share Dataset
Share this dataset on your favorite social media networks.
Close
Continue
Cancel
Dataset Citations
Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the
User Guide
.
Sorry, no citations were found.
Close
Inaccessible Files Selected
The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired or the files can only be transferred via Globus.
You may request access to any restricted file(s) by clicking the Request Access button.
Close
Ineligible Files Selected
The selected file(s) may not be transferred because you have not been granted access or the file(s) have a retention period that has expired or the files are not Globus accessible.
You may request access to any restricted file(s) by clicking the Request Access button.
Close
Download Options
The files selected are too large to download as a ZIP.
You can select individual files that are below the 1.9 GB download limit from the files table, or use the
Data Access API
for programmatic access to the files.
Select File(s)
Please select a file or files to be downloaded.
Close
Inaccessible Files Selected
The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired.
Click Continue to download the files you have access to download.
Continue
Cancel
Ineligible Files Selected
Some file(s) cannot be transferred. (They are restricted, embargoed, with an expired retention period, or not Globus accessible.)
Click Continue to transfer the elligible files.
Continue
Cancel
Delete Dataset
Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.
Continue
Cancel
Delete Draft Version
Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.
Continue
Cancel
Unpublished Dataset Preview URL
Preview URL can only be used with unpublished versions of datasets.
Cancel
Unpublished Dataset Preview URL
Are you sure you want to disable the Preview URL? If you have shared the Preview URL with others they will no longer be able to use it to access your unpublished dataset.
Yes, Disable General Preview URL
Cancel
Delete Files
The file(s) will be deleted after you click on the Delete button.
Files will not be removed from previously published versions of the dataset.
Delete
Cancel
Compute
This dataset contains restricted files you may not compute on because you have not been granted access.
Close
Deaccession Dataset
Are you sure you want to deaccession? This is permanent and the selected version(s) will no longer be viewable by the public.
No
Deaccession Dataset
Are you sure you want to deaccession this dataset? This is permanent an it will no longer be viewable by the public.
No
Version Differences Details
Please select two versions to view the differences.
Close
Version Differences Details
Version:
Last Updated:
Version:
Last Updated:
Done
Select File(s)
Please select a file or files for access request.
Close
Select File(s)
Embargoed files cannot be accessed. Please select an unembargoed file or files for your access request.
Close
Edit Tags
Select existing file tags or create new tags to describe your files. Each file can have more than one tag.
Save Changes
Cancel
Request Access
You need to
Log In
to request access.
Close
Dataset Terms
Please confirm and/or complete the information needed below in order to request access to files in this dataset.
This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.
License/Data Use Agreement
Our
Community Norms
as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.
CC BY-NC-SA 4.0
Preview Guestbook
Upon downloading files the guestbook asks for the following information.
Guestbook Name
Collected Data
Account Information
Close
Package File Download
Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended.
User Guide - Downloading a Dataverse Package via URL
Download URL
https://dataverse.lib.virginia.edu/api/access/datafile/
Close
Compute Batch
Clear Batch
ui-button
Dataset
Persistent Identifier
Change Compute Batch
Compute Batch
Cancel
Submit for Review
You will not be able to make changes to this dataset while it is in review.
Submit
Cancel
Publish Dataset
Are you sure you want to republish this dataset?
Select if this is a minor or major version update.
Minor Release (2.2)
Major Release (3.0)
Continue
Cancel
Publish Dataset
This dataset cannot be published until
Cell Maps for Artificial Intelligence
is published by its administrator.
Close
Publish Dataset
This dataset cannot be published until
Cell Maps for Artificial Intelligence
and
School of Medicine
are published.
Close
Return to Author
Return this dataset to contributor for modification. The reason for return entered below will be sent by email to the author.
Continue
Cancel
Curation Status History
Status
Date
Assigner
No records found.
Add/Edit a Version Note
Styled Citation
Copyright © 2026, by the Rector and Visitors of the University of Virginia |
Terms of Use
|
Privacy Policy
Powered by
v. 6.9 build 2027-e2021d3
Contact University of Virginia Dataverse Support
To
University of Virginia Dataverse Support
From
Subject
Message
Please fill this out to prove you are not a robot.
8 + 9 =
Send Message
Cancel
