Foundry120 atlas

Public scientific datasets, scored for reuse.

Atlas continuously monitors published datasets and assesses their reusability.

Dataset explorer

Rank by Impact Reuse Largest cohort
# Dataset Participants Samples Reuse Impact
1 Large-scale whole blood RNA-Seq identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis

Illumina HiSeq2500 · open

1,035 — 5.7 /10 5,899.5
2 Transcriptional Drivers of Stricturing Crohns Disease

Illumina HiSeq 1000 · open

345 746 6.7 /10 2,311.5
3 Associations between host gene expression, the mucosal microbiome, and clinical outcome in the pelvic pouch of patients with inflammatory bowel disease.

Illumina MiSeq v2 · open

205 255 8.9 /10 1,824.5
4 Paired mucosal j-pouch and afferent limb samples from postoperative ulcerative colitis and familial ademonatous polyposis patients from Mount Sinai Hospital, Toronto. Samples were collected during pouch endoscopy and 16S sequenced.

Illumina MiSeq · open

204 652 8.9 /10 1,815.6
5 The Intestinal Microbiome in Children with Inflammatory Bowel Disease and Lactose Malabsorption

Illumina HiSeq 2500 · open

185 459 7.7 /10 1,424.5
6 Cross sectional evaluation of the gut-microbiome metabolome axis in an Italian cohort of IBD patients.

Illumina MiSeq · open

183 183 7.1 /10 1,299.3
7 Epigenomic alterations are associated with mucosal microbiota and inflammation in inflammatory bowel disease

Illumina MiSeq · open

161 48 7.6 /10 1,223.6
8 No association between the faecal microbiome and the presence of genuine irritable bowel syndrome symptoms in patients with quiescent inflammatory bowel disease

Illumina MiSeq · open

270 — 4.4 /10 1,188.0
9 Fungal microbiota dysbiosis in IBD PMID: 26843508 RUN1

ena-prjeb30375 · open

273 — 4.3 /10 1,173.9
10 Fungal microbiota dysbiosis in IBD PMID: 26843508 RUN2

ena-prjeb30379 · open

273 273 4.3 /10 1,173.9

View all 147 Microbiome 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.