# dataverse 10.18130 V3 B35XWX tab terms d4d

Datasheet for Dataset - Human Readable Format

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## Motivation

Why was the dataset created?

Funders

Grantor | Grant Name | Grant Number
--- | --- | ---
National Institutes of Health (NIH) Bridge2AI program | - | -

Purposes

- Response
    March 2025 data release of CM4AI (the NIH Bridge2AI Functional Genomics Grand Challenge), providing AI-ready multimodal cellular datasets (perturb-seq, SEC-MS, and immunofluorescence imaging) packaged with provenance and rich metadata.

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## Composition

What do the instances represent?

Instances

Data Type | Representation
--- | ---
perturb-seq data | perturb-seq data in undifferentiated KOLF2.1J iPSCs
SEC-MS data | SEC-MS data in undifferentiated KOLF2.1J iPSCs and iPSC-derived NPCs, neurons, and cardiomyocytes
immunofluorescence images | IF images in MDA-MB-468 breast cancer cells in the presence and absence of chemotherapy (vorinostat ...

Distribution Formats

- Description
    - RO-Crate
    - FAIRSCAPE provenance and metadata packaging

Distribution Dates

- Description
    - 2025-03-20

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## Collection Process

How was the data acquired?

ID *
doi:10.18130/V3/B35XWX
Name
Cell Maps for Artificial Intelligence - March 2025 Data Release (Beta)
Title
Cell Maps for Artificial Intelligence - March 2025 Data Release (Beta)
Description
This dataset is the March 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. This Beta release includes perturb-seq data in undifferentiated KOLF2.1J iPSCs; SEC-MS data in undifferentiated KOLF2.1J iPSCs and iPSC-derived NPCs, neurons, and cardiomyocytes; and IF images in MDA-MB-468 breast cancer cells in the presence and absence of chemotherapy (vorinostat and paclitaxel). CM4AI output data are packaged with provenance graphs and rich metadata as AI-ready datasets in RO-Crate format using the FAIRSCAPE framework. Data presented here will be augmented regularly through the end of the project. CM4AI is a collaboration of UCSD, UCSF, Stanford, UVA, Yale, UA Birmingham, Simon Fraser University, and the Hastings Center. This data is Copyright (c) 2025 The Regents of the University of California except where otherwise noted. Spatial proteomics raw image data is copyright (c) 2025 The Board of Trustees of the Leland Stanford Junior University. Dataset licensed for reuse under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license (https://creativecommons.org/licenses/by-nc-sa/4.0/). Attribution is required to the copyright holders and the authors. Any publications referencing this data or derived products should cite the Related Publication below, as well as directly citing this data collection (2025-03-04).
Language
en
Publisher
https://dataverse.lib.virginia.edu
Issued
2025-03-20
Page
https://dataverse.lib.virginia.edu/dataset.xhtml?persistentId=doi:10.18130/V3/B35XWX
Keywords

- Medicine, Health and Life Sciences
- Cell Maps for Artificial Intelligence
- CM4AI
- Bridge2AI
- perturb-seq
- SEC-MS
- immunofluorescence
- RO-Crate
- FAIRSCAPE
- iPSC
- NPCs
- neurons
- cardiomyocytes
- MDA-MB-468
- vorinostat
- paclitaxel

Created By

- Cell Maps for Artificial Intelligence (CM4AI)

Creators

Name
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

Subsets

Description | Name
--- | ---
Perturb-seq data in undifferentiated KOLF2.1J iPSCs. | perturb-seq (KOLF2.1J iPSCs)
SEC-MS data in undifferentiated KOLF2.1J iPSCs and iPSC-derived NPCs, neurons, and cardiomyocytes. | SEC-MS (KOLF2.1J iPSCs, NPCs, neurons, cardiomyocytes)
IF images in MDA-MB-468 breast cancer cells with and without chemotherapy (vorinostat and paclitaxel... | Immunofluorescence images (MDA-MB-468)

Ip Restrictions

Description
  - Copyright (c) 2025 The Regents of the University of California except where otherwise noted.
  - Spatial proteomics raw image data is copyright (c) 2025 The Board of Trustees of the Leland Stanford Junior University.

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## Uses

What (other) tasks could the dataset be used for?

License And Use Terms

Description
  - Dataset licensed for reuse under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license (https://creativecommons.org/licenses/by-nc-sa/4.0/).
  - Attribution is required to the copyright holders and the authors.
  - Any publications referencing this data or derived products should cite the Related Publication and directly cite this data collection (2025-03-04).

📤

## Distribution

How will the dataset be distributed?

DOI
doi:10.18130/V3/B35XWX
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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## Maintenance

How will the dataset be maintained?

Version
March 2025 (Beta)
Updates

Description
  - Beta release; data will be augmented regularly through the end of the project.

Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema