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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Claim

Imputed data from for predicting skeletal stature using ancient DNA

Research datakeyboard_double_arrow_right Dataset 02 Nov 2022 English Publisher:Zenodo
Authors: Mathieson, Iain;

doi: 10.5281/zenodo.7576713 , 10.5281/zenodo.7576714

Imputed data from for predicting skeletal stature using ancient DNA

Abstract

These are the three imputed genotype datasets from the following publication. Please consult the paper for details of the imputation approach, metadata for the samples, and the original data sources. These data are freely available but you should cite the original sources, as well as our paper. Predicting skeletal stature using ancient DNA; Cox S, Moots HM, Stock JT, Shbat A, Bitarello B, Nicklisch N, Alt K, Haak W, Rosenstock E, Ruff CB, Mathieson I; American Journal of Biological Anthropology, Jan 2022. https://doi.org/10.1002/ajpa.24426

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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.
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This indicator 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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