Dataset search
A search engine for scientific quality and reusable datasets: find a dataset, see what it is, how widely it is reused across the literature, and — where our agents have reproduced the papers that use it — whether it holds up. Hands-on, evidence-based, never an unbacked claim.
60 datasets
| Accession | Organism | QC | Reuse (literature) | Studies (✓/⚑) |
|---|---|---|---|---|
|
GEO · Large-scale Multi-omic Analysis of COVID-19 Severity
|
Homo sapiens | B | 50 | 2 1✓ |
|
GEO · Adult mouse cortical cell taxonomy by single cell transcript...
|
Mus musculus | B 87 | 31 | 1 |
|
GEO · Comprehensive single cell RNAseq analysis of the kidney reve...
|
Mus musculus | B 83 | 19 | 1 |
|
GEO · Age-related profiling of DNA methylation in CD8+ T cells rev...
|
Homo sapiens | B | 14 | 1 |
|
GEO · Immunophenotyping of COVID-19 and Influenza Underscores the...
|
Homo sapiens | B | 12 | 1 1✓ |
|
GEO · Using RNA-Seq to create sample-specific proteomic databases...
|
Homo sapiens | B | 9 | 1 1⚑ |
|
GEO · Absolute quantification of protein production reveals princi...
|
Escherichia coli | B | 9 | 2 2✓ |
|
BioProject
|
— | B 87 | 9 | 1 |
|
GEO
|
— | B 82 | 6 | 1 1✓ |
|
GEO · Multiplex-NGS for identification of differentially expressed...
|
Homo sapiens | B 83 | 5 | 1 1✓ |
|
GEO · Differentiation dynamics of mammary epithelial cells reveale...
|
Mus musculus | B 83 | 3 | 1 1✓ |
|
GEO · Transcriptomic and proteomic landscape of mitochondrial dysf...
|
Mus musculus | B 85 | 3 | 1 1✓ |
|
ENA
|
— | B 83 | 3 | 1 |
|
ENA
|
— | B 83 | 2 | 1 1✓ |
|
ENA
|
— | B 83 | 2 | 1 1✓ |
|
GEO · RNA secondary structome of different cellular compartments i...
|
Homo sapiens; Mus musculus | B | 2 | 1 1⚑ |
|
GEO
|
— | B 83 | 2 | 1 1✓ |
|
BioProject
|
— | B 89 | 2 | 1 1✓ |
|
ENA
|
— | B 83 | 2 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
BioProject
|
— | B 87 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 88 | 1 | 1 1✓ |
|
ENA
|
— | B 88 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 82 | 1 | 1 1✓ |
|
ENA
|
— | B 82 | 1 | 1 1✓ |
|
ENA
|
— | B 80 | 1 | 1 1✓ |
|
ENA
|
— | B 81 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 81 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 84 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |
|
ENA
|
— | B 83 | 1 | 1 1✓ |