Datasets from Growth (2019) by Vaclav Smil with reproducible fits
<p>This repository contains data and code for 80 datasets featured in <a href="https://mitpress.mit.edu/9780262539685/growth/"><em>Growth: from microorganisms to megacities</em></a> (2019) by Vaclav Smil.</p> <p><em>Growth</em> contains a wealth of time-series data collected from diverse sources. Smil fits simple models, most notably the <a href="https://en.wikipedia.org/wiki/Logistic_function">logistic function</a>, to demonstrate how widely applicable they are: from the growth of bacteria to the growth of rail networks.</p> <p>This archive intends to make these datasets available for wider use in statistics teaching. Whatever your interest, there is probably a dataset in here for you!</p> <p>Thanks to Vaclav Smil for sharing these datasets to make this reanalysis possible.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Dataset details
- Repository
- zenodo
- Published
- June 14, 2023
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.8043245
Scored with release 0.9.0
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