eaa2022_xronos_references.bib

@Article{Schmid2019,
  author = {Clemens Schmid and Dirk Seidensticker and Martin Hinz},
  year = {2019},
  title = {{c14bazAAR}: An {R} package for downloading and preparing {C14} dates from different source databases},
  journal = {Journal of Open Source Software},
  volume = {4},
  number = {43},
  pages = {1914},
  month = {nov},
  doi = {10.21105/joss.01914},
  url = {https://doi.org/10.21105/joss.01914},
}

@Article{Bird2022,
author={Bird, Darcy
and Miranda, Lux
and Vander Linden, Marc
and Robinson, Erick
and Bocinsky, R. Kyle
and Nicholson, Chris
and Capriles, Jos{\'e} M.
and Finley, Judson Byrd
and Gayo, Eugenia M.
and Gil, Adolfo
and d'Alpoim Guedes, Jade
and Hoggarth, Julie A.
and Kay, Andrea
and Loftus, Emma
and Lombardo, Umberto
and Mackie, Madeline
and Palmisano, Alessio
and Solheim, Steinar
and Kelly, Robert L.
and Freeman, Jacob},
title={{p3k14c}, a synthetic global database of archaeological radiocarbon dates},
journal={Scientific Data},
year={2022},
month={Jan},
day={27},
volume={9},
number={1},
pages={27},
abstract={Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies.},
issn={2052-4463},
doi={10.1038/s41597-022-01118-7},
url={https://doi.org/10.1038/s41597-022-01118-7}
}



@Article{BronkRamsey2019, 
  author={Bronk Ramsey, Christopher and Blaauw, Maarten and Kearney, Rebecca and Staff, Richard A}, 
  year={2019}, 
  title={The Importance of Open Access to Chronological Information: The IntChron Initiative}, 
  journal={Radiocarbon}, 
  volume={61}, 
  number={5}, 
  pages={1121–1131},
  doi={10.1017/RDC.2019.21}, 
  publisher={Cambridge University Press}, 
}