Pta-901

@misc{Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80,
  
}
@article{p3k14c,
  title = {P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates},
  author = {Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José 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},
  year = {2022},
  month = {jan},
  journal = {Scientific Data},
  volume = {9},
  number = {1},
  pages = {27},
  publisher = {Nature Publishing Group},
  issn = {2052-4463},
  doi = {10.1038/s41597-022-01118-7},
  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.},
  copyright = {2022 The Author(s)},
  langid = {english},
  keywords = {Archaeology,Chemistry},
  month_numeric = {1}
}
@misc{huffman2007h,
  
}
@misc{klapwijk1996esl,
  
}
@misc{klapwijk1974prp,
  
}
@misc{Humphreys AJ and Thackeray AI. 1983.Ghaap and Gariep: Later Stone Age studies in the northern Cape(No. 2). South African Archaeological Society:Cape Town.,
  
}
@misc{JAS 27 2000: 75. Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Higham T.   2012. JHE.,
  
}
@misc{Jerardino AMS. 1996.Changing social landscapes of the western Cape coast of southern Africa over the last 4500 years(Doctoral dissertation University of Cape Town).,
  
}
@misc{Klapwijk M. 1974. A preliminary report on pottery from the north-eastern Transvaal South Africa.The South African Archaeological Bulletin pp.19-23.,
  
}
@misc{Fernández 2007,
  
}

{"bibtex_key":"Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon 23: 43-80","bibtex_type":"misc"}[{"bibtex_key":"p3k14c","bibtex_type":"article","title":"{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}","author":"{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José 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}","year":"{2022}","month":"{jan}","journal":"{Scientific Data}","volume":"{9}","number":"{1}","pages":"{27}","publisher":"{Nature Publishing Group}","issn":"{2052-4463}","doi":"{10.1038/s41597-022-01118-7}","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.}","copyright":"{2022 The Author(s)}","langid":"{english}","keywords":"{Archaeology,Chemistry}","month_numeric":"{1}"}]{"bibtex_key":"huffman2007h","bibtex_type":"misc"}{"bibtex_key":"klapwijk1996esl","bibtex_type":"misc"}{"bibtex_key":"klapwijk1974prp","bibtex_type":"misc"}{"bibtex_key":"Humphreys AJ and Thackeray AI. 1983.Ghaap and Gariep: Later Stone Age studies in the northern Cape(No. 2). South African Archaeological Society:Cape Town.","bibtex_type":"misc"}{"bibtex_key":"JAS 27 2000: 75. Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74: 544-52. Higham T.   2012. JHE.","bibtex_type":"misc"}{"bibtex_key":"Jerardino AMS. 1996.Changing social landscapes of the western Cape coast of southern Africa over the last 4500 years(Doctoral dissertation University of Cape Town).","bibtex_type":"misc"}{"bibtex_key":"Klapwijk M. 1974. A preliminary report on pottery from the north-eastern Transvaal South Africa.The South African Archaeological Bulletin pp.19-23.","bibtex_type":"misc"}{"bibtex_key":"Fernández 2007","bibtex_type":"misc"}

---
:bibtex_key: 'Vogel JC and Visser E. 1981. Pretoria Radiocarbon dates II. Radiocarbon
  23: 43-80'
:bibtex_type: :misc
---
- :bibtex_key: p3k14c
  :bibtex_type: :article
  :title: "{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}"
  :author: "{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick
    and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José 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}"
  :year: "{2022}"
  :month: "{jan}"
  :journal: "{Scientific Data}"
  :volume: "{9}"
  :number: "{1}"
  :pages: "{27}"
  :publisher: "{Nature Publishing Group}"
  :issn: "{2052-4463}"
  :doi: "{10.1038/s41597-022-01118-7}"
  :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.}"
  :copyright: "{2022 The Author(s)}"
  :langid: "{english}"
  :keywords: "{Archaeology,Chemistry}"
  :month_numeric: "{1}"
---
:bibtex_key: huffman2007h
:bibtex_type: :misc
---
:bibtex_key: klapwijk1996esl
:bibtex_type: :misc
---
:bibtex_key: klapwijk1974prp
:bibtex_type: :misc
---
:bibtex_key: 'Humphreys AJ and Thackeray AI. 1983.Ghaap and Gariep: Later Stone Age
  studies in the northern Cape(No. 2). South African Archaeological Society:Cape Town.'
:bibtex_type: :misc
---
:bibtex_key: 'JAS 27 2000: 75. Bocquet-Appel J.P. & Demars P.Y. 2000. Antiquity 74:
  544-52. Higham T.   2012. JHE.'
:bibtex_type: :misc
---
:bibtex_key: Jerardino AMS. 1996.Changing social landscapes of the western Cape coast
  of southern Africa over the last 4500 years(Doctoral dissertation University of
  Cape Town).
:bibtex_type: :misc
---
:bibtex_key: Klapwijk M. 1974. A preliminary report on pottery from the north-eastern
  Transvaal South Africa.The South African Archaeological Bulletin pp.19-23.
:bibtex_type: :misc
---
:bibtex_key: Fernández 2007
:bibtex_type: :misc