Analytics

What the LungMAP corpus contains, by technology, donor, lung region and stage. Every chart is clickable — selecting a value opens the datasets behind it.

0omics datasets→ 0spatial omics→ 0imaging collections→ 0images→ 0donors→ 0lung regions→ 0images indexed→
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Human Mouse Rhesus
All donors
COPD ILD COVID-19 BPD / chronic lung disease IPF Viral pneumonia Asthma Influenza Congenital lung anomaly Other lung disease ACDMPV PAM
Clear showing 3,102 datasets · 995 donors

Omics datasets by modality

42 datasets, including spatial omics. Imaging is a different unit — see below

Omics modality by species

Hover a bar for the exact count; click to filter

Technology

Instruments and assays recorded against datasets

Lung region

The 14 most annotated of 41 anatomy terms

Developmental stage

Datasets per age range, grouped by species

Donors

1,841 donors across three species

Imaging collections

3,060 collections holding 17,371 images — a different unit from an omics dataset, so reported on its own axis

Dataset size

How many samples each dataset carries

How things are counted. Omics datasets, spatial omics and imaging collections are reported separately. A single-cell RNA-seq run and an H&E slide are not comparable units, and summing them gave a headline in which 98% of "datasets" were images. Spatial omics — Xenium and nano-DESI mass-spec imaging — sits with omics, because it measures molecules; in situ hybridization and immunofluorescence sit with imaging, because they image a handful of targets.