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BioStudies total studies

EMBL-EBI / BioStudies

3.4M
datasets · 2026-11-09
S-curve
best-fit model
3.6M
projected 2027
3.2M3.3M3.5M3.6M202620273.6M 2027
Logistic (S-curve) fitbest fit (AICc)N(t) = L / (1 + e^{−k(t − t₀)})
carrying capacity L 173Msteepness k 0.048 / yrmidpoint t₀ 2108R² 0.1483forecast 3.6M by 2027

Forecast = 10% of the 0-yr record. ⚠ No saturation yet, so the carrying capacity L is poorly constrained — treat the logistic curve as a lower-bound scenario.

SourceEMBL-EBI / BioStudies
Update cadenceweekly
Live endpointhttps://www.ebi.ac.uk/biostudies/api/v1/search?pageSize=1
Parsejson · totalHits
Datedatasets
2026-11-093,444,858
2026-11-023,433,023
2026-10-263,421,958
2026-10-193,414,296
2026-10-123,413,553
2026-10-053,413,189
2026-09-283,413,067
2026-09-213,413,010
2026-09-143,381,412
2026-09-073,223,040
2026-08-243,412,772
2026-08-173,412,720
2026-08-103,412,667
2026-08-033,412,563
2026-07-273,401,459
2026-07-203,401,386
2026-07-133,370,410
2026-07-063,356,171
2026-06-243,343,764

Machine-readable: /api/research-data?metric=biostudies · back to all metrics

Report errorpmu15@helmholtz-hzi.de