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Datasets from Growth (2019) by Vaclav Smil with reproducible fits

<p>This repository contains data and code for 80 datasets featured in&nbsp;<a href="https://mitpress.mit.edu/9780262539685/growth/"><em>Growth: from microorganisms to megacities</em></a>&nbsp;(2019) by Vaclav Smil.</p> <p><em>Growth</em>&nbsp;contains a wealth of time-series data collected from diverse sources. Smil fits simple models, most notably the&nbsp;<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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