I-8483

radiocarbon date Radiocarbon date from North Saskatchewan River
Record created in XRONOS on 2022-12-02 00:50:45 UTC. Last updated on 2022-12-02 00:50:45 UTC. See changelog for details.
Contributors: XRONOS development team

Measurement

Age (uncal BP)
9860
Error (±)
140
Lab
NA
Method
NA
Sample material
bone collagen; collagène osseux
Sample taxon
NA

Calibration

Calibration curve
IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP)
11819 - 11063
11035 - 11001
10969 - 10785

Context

Site
North Saskatchewan River
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (9)

@misc{Barse 2000,
  
}
@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{Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490,
  
}
@misc{Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403,
  
}
@misc{Harington 2003: 464; Faunmap 4046,
  
}
@misc{Buckley and Willis 1972: 125,
  
}
@misc{McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp 1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988,
  
}
@misc{Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989,
  
}
@misc{Rains and Welch 1988,
  
}
{"bibtex_key":"Barse 2000","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":"Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490","bibtex_type":"misc"}{"bibtex_key":"Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403","bibtex_type":"misc"}{"bibtex_key":"Harington 2003: 464; Faunmap 4046","bibtex_type":"misc"}{"bibtex_key":"Buckley and Willis 1972: 125","bibtex_type":"misc"}{"bibtex_key":"McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp 1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier 1989","bibtex_type":"misc"}{"bibtex_key":"Rains and Welch 1988","bibtex_type":"misc"}
---
:bibtex_key: Barse 2000
: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: 'Burns 1996a; Harington 2003: 396; Young et al. 1994; Faunmap 3490'
:bibtex_type: :misc
---
:bibtex_key: 'Burns 1996a; Young et al. 1994; Faunmap 3490; Harington 2003: 403'
:bibtex_type: :misc
---
:bibtex_key: 'Harington 2003: 464; Faunmap 4046'
:bibtex_type: :misc
---
:bibtex_key: 'Buckley and Willis 1972: 125'
:bibtex_type: :misc
---
:bibtex_key: 'McCallum and Dyck 1960; Wilmeth 1978a; Borden 1970; Broecker and Kulp
  1957; Burley 1979 1980; McCallum 1955; The Midden 25(5): 5 1988'
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1981 1984; Taillon et Barrà 1987; Marois et Gauthier
  1989
:bibtex_type: :misc
---
:bibtex_key: Rains and Welch 1988
:bibtex_type: :misc

Changelog