Foundry120 atlas

Public scientific datasets, scored for reuse.

Atlas continuously monitors published datasets and assesses their reusability.

Dataset explorer

# Dataset Participants Samples Reuse Impact
1 Single-Cell and Spatial Multi-omics Reveal Interferon Signaling in the Pathogenesis of Perianal Fistulizing Crohn’s Disease

10X Visium · unknown

15 21 6.6 /10 99.0
2 Single-cell single-molecule spatial transcriptomics using CosMx on colectomy specimens collected during Pouch surgery in IBD patients.

geo-gse283625 · unknown

8 8 7.0 /10 56.0
3 Granzyme K CD8⁺ T cells with tissue-resident features promote intestinal inflammation in patients with Crohn’s disease

10x Genomics Visium and 10x Genomics Xenium · open

2 45 8.1 /10 16.2
4 Elucidating the fibrotic niche and cellular dynamics in crohn’s disease-associated fibrostenosis

10x Genomics Visium HD · unknown

2 2 7.4 /10 14.8
5 Genetic profiles of small intestinal and colonic metaplastic Paneth cells by spatial transcriptomics

10x Genomics Visium HD · unknown

2 2 7.4 /10 14.8
6 Single-cell spatial transcriptomics of formalin-fixed, paraffin-embedded biopsies reveals colitis-associated cell networks [Xenium]

Xenium · open

7 7.9 /10
7 IBD CosMx NanoString data from colonic mucosa

CosMx Spatial Molecular Imaging (SMI) · open

9 7.4 /10
8 Single-cell spatial transcriptomics of formalin-fixed, paraffin-embedded biopsies reveals colitis-associated cell networks [Merscope]

MERSCOPE · open

1 6.4 /10
9 Spatial and single cell transcriptomics reveals cellular crosstalk changes in ileal Crohn’s disease during inflammation

10x Genomics Visium · unknown

24 6.3 /10
10 Divergent spatial microdomains drive inflammation and repair in Ulcerative and Immune Checkpoint Therapy Colitis - Spatial Transcriptomics

10x Visium · unknown

16 6.1 /10

View all 18 Spatial datasets →

Impact = reuse-readiness mean (0–10) × participants; sample counts never affect it. Reuse readiness is not a measure of scientific validity.

Methodology

  1. 01

    Monitored daily

    Sources are checked every day.

  2. 02

    Extract key metadata

    Structured data extracted programmatically and with LLM for completeness.

  3. 03

    Score & publish

    Each dataset is scored 0–10 on multiple dimensions for reuse readiness then published.

Sources

How datasets are scored

Each dataset is scored 0–10 on each dimension below and the mean is the reuse-readiness score.

Cohort clarity

Participants, disease groups and controls are stated, each with evidence.

Sample traceability

Samples can be traced to an anatomical site, a specimen type, and a participant.

Data completeness

Raw counts, processed matrices, coordinates, images and metadata are deposited.

Internal consistency

Sources agree; conflicting claims cost points until resolved.

Accessibility

The data is openly deposited or has a documented access route.

Additional dataset-specific metrics


DomainAdditional dimensions
IBD spatial transcriptomics

Technical completeness: Platform, resolution, panel scope and segmentation method are documented.

Reproducibility: Analysis code, run environment, reference files and a file manifest are available.

IBD microbiome

Sequencing completeness: Platform, assay type and sequencing targets are documented.

Reproducibility: Analysis code, run environment, reference files and a file manifest are available.

IBD single-cell transcriptomics

Assay documentation: Assay class, platform, library chemistry and reference genome are documented.

Processing reproducibility: QC, doublet detection, normalization and annotation methods are reported.