Open data & repositories
Harvard Dataverse (IQSS)
N(t) = L / (1 + e^{−k(t − t₀)})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.
Published datasets in the Harvard Dataverse repository.
| Date | datasets |
|---|---|
| 2026-09-21 | 304,074 |
| 2026-09-14 | 303,751 |
| 2026-09-07 | 303,368 |
| 2026-08-24 | 302,824 |
| 2026-08-10 | 302,144 |
| 2026-08-03 | 301,877 |
| 2026-07-27 | 301,531 |
| 2026-07-20 | 301,241 |
| 2026-07-13 | 301,046 |
| 2026-07-06 | 300,707 |
| 2026-06-25 | 300,214 |
Machine-readable: /api/research-data?metric=harvard-dataverse · back to all metrics