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Results files for "End-to-end Bayesian analysis for summarizing sets of radiocarbon dates"

<p>These are the results files for the following peer-reviewed article:</p> <p>Price, M.H., J.M. Capriles, J. Hoggarth, R.K. Bocinsky, C.E. Ebert, and J.H. Jones, (2021). End-to-end Bayesian analysis for summarizing sets of radiocarbon dates. Journal of Archaeological Science.</p> <p>They were generated inside a Docker container as outlined in the README of this github repository:</p> <p>https://github.com/MichaelHoltonPrice/price_et_al_tikal_rc</p> <p>The analyses rely&nbsp;on an R package located in this github repository:</p> <p>https://github.com/eehh-stanford/baydem</p> <p>For the results archived here, the commits for each repository are:</p> <pre>price_et_al_tikal_rc 3ac1e35f4277ef878f8e3aac3d05159928a09a2b baydem 1220a60a860633b51f9f07cbff3eb78f458efc1a</pre>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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