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ZENODO
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License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
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"Chronomodel" Bayesian chronological models for East Borneo, based on data from the Liang Abu and Kimanis sites

Authors: Plutniak, Sebastien;

"Chronomodel" Bayesian chronological models for East Borneo, based on data from the Liang Abu and Kimanis sites

Abstract

Bayesian chronological models generated using the ChronoModel software East Borneo (Indonesia), based on data from the Liang Abu and Kimanis (Arifin, 2017) archaeological sites. Two models were generated: a “conservative” model, observing the Bayesian approach and the distinction between prior and posterior information; a “restricted” model: excluding possible outliers and without application of a “Fresh- water reservoir effect” correction. Four files are provided: abu-kimanis-conservative-model.chr: model specification for the “conservative” model abu-kimanis-conservative-model_synthetic-stats-table.csv: results for the “conservative” model abu-kimanis-restricted-model.chr: model specification for the “restricted” model abu-kimanis_restricted-model_synthetic-stats-table.csv: results for the “restricted” model The .chr files can be open and edited using the ChronoModel software.

{"references": ["Arifin, K. 2017. \"Terminal Pleistocene and Early Holocene Human Occupation in the Rainforests of East Kalimantan,\" in New Perspectives in Southeast Asian and Pacific Prehistory, ed. by P. J. Piper, H. Matsumura, and D. Bulbeck, Acton: ANU Press, p. 97-124."]}

Keywords

East Borneo, Southeast Island archaeology, http://id.loc.gov/authorities/subjects/sh85006507, http://id.loc.gov/authorities/subjects/sh85015863, Archaeology, Borneo, Prehistory, Bayesian model, http://id.loc.gov/authorities/subjects/sh96006045, http://id.loc.gov/authorities/subjects/sh85025406

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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