Site type

Location

Coordinates (degrees)
055.757° N, 129.755° W
Coordinates (DMS)
055° 45' 00" W, 129° 45' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (34)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-25179 NA charcoal; charbon de bois NA NA 6150±70 BP 7248–6805 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16204 NA charcoal; charbon de bois NA NA 5320±60 BP 6275–5939 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16205 NA charcoal; charbon de bois NA NA 4900±80 BP 5894–5469 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16206 NA charcoal; charbon de bois NA NA 4970±60 BP 5894–5590 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16207 NA charcoal; charbon de bois NA NA 5000±70 BP 5895–5601 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16208 NA charcoal; charbon de bois NA NA 4390±70 BP 5282–4843 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16209 NA charcoal; charbon de bois NA NA 4420±60 BP 5283–4861 cal BP Steele J. Politis G. (2009). AMS 14C dating of early human occupation of Southern South America. Journal of Archaeological Science 37 2017-2030. Bird et al. 2022
CAMS-16957 NA marine shell; coquillage NA NA 5990±60 BP 6975–6671 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16958 NA marine shell; coquillage NA NA 5650±60 BP 6599–6302 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16959 NA marine shell; coquillage NA NA 5570±50 BP 6445–6286 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16960 NA marine shell; coquillage NA NA 5550±60 BP 6450–6211 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16961 NA marine shell; coquillage NA NA 4890±70 BP 5880–5471 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-16962 NA marine shell; coquillage NA NA 5020±60 BP 5903–5604 cal BP Collins B. Wilkins J. and Ames C. 2017. Revisiting the Holocene occupations at Grassridge Rockshelter Eastern Cape South Africa.The South African Archaeological Bulletin72(206) pp.162-170. Bird et al. 2022
CAMS-19017 NA charcoal; charbon de bois NA NA 5370±70 BP 6294–5994 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-19018 NA marine shell; coquillage NA NA 5790±60 BP 6734–6449 cal BP Southon and Fedje 2000; Fedje and Christensen 1999 Bird et al. 2022
CAMS-50948 NA charcoal; charbon de bois NA NA 5680±100 BP 6722–6289 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-50949 NA marine shell; coquillage NA NA 6340±40 BP 7413–7165 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-50950 NA charcoal; charbon de bois NA NA 5230±40 BP 6176–5911 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-50951 NA marine shell; coquillage NA NA 6150±40 BP 7160–6946 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022
CAMS-50952 NA charcoal; charbon de bois NA NA 5380±40 BP 6284–6008 cal BP Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Steele J. Politis G. (2009). AMS 14C dating of early human occupation of Southern South America. Journal of Archaeological Science 37 2017-2030.,
  
}
@misc{Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990,
  
}
@misc{Southon and Fedje 2000; Fedje and Christensen 1999,
  
}
@misc{Collins B. Wilkins J. and Ames C. 2017. Revisiting the Holocene occupations at Grassridge Rockshelter Eastern Cape South Africa.The South African Archaeological Bulletin72(206) pp.162-170.,
  
}
@misc{Jennings et al. 2016 Redating the late paleoindian /early archaic Golondrina component at Baker Cave Texasà,
  
}
@misc{A.R. Mason p.c. 1999,
  
}
@misc{Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford et al. 1984;  Faunmap 4082,
  
}
@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}
}

{"bibtex_key":"Steele J. Politis G. (2009). AMS 14C dating of early human occupation of Southern South America. Journal of Archaeological Science 37 2017-2030.","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990","bibtex_type":"misc"}{"bibtex_key":"Southon and Fedje 2000; Fedje and Christensen 1999","bibtex_type":"misc"}{"bibtex_key":"Collins B. Wilkins J. and Ames C. 2017. Revisiting the Holocene occupations at Grassridge Rockshelter Eastern Cape South Africa.The South African Archaeological Bulletin72(206) pp.162-170.","bibtex_type":"misc"}{"bibtex_key":"Jennings et al. 2016 Redating the late paleoindian /early archaic Golondrina component at Baker Cave Texasà","bibtex_type":"misc"}{"bibtex_key":"A.R. Mason p.c. 1999","bibtex_type":"misc"}{"bibtex_key":"Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford et al. 1984;  Faunmap 4082","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: Steele J. Politis G. (2009). AMS 14C dating of early human occupation
  of Southern South America. Journal of Archaeological Science 37 2017-2030.
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christiensen 1999; Ham 1990
:bibtex_type: :misc
---
:bibtex_key: Southon and Fedje 2000; Fedje and Christensen 1999
:bibtex_type: :misc
---
:bibtex_key: Collins B. Wilkins J. and Ames C. 2017. Revisiting the Holocene occupations
  at Grassridge Rockshelter Eastern Cape South Africa.The South African Archaeological
  Bulletin72(206) pp.162-170.
:bibtex_type: :misc
---
:bibtex_key: Jennings et al. 2016 Redating the late paleoindian /early archaic Golondrina
  component at Baker Cave Texasà
:bibtex_type: :misc
---
:bibtex_key: A.R. Mason p.c. 1999
:bibtex_type: :misc
---
:bibtex_key: Borden 1975;  Eldridge and Acheson 1992;  Matson 1976 1981;  Rutherford
  et al. 1984;  Faunmap 4082
: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}"

Changelog