Site type

Location

Coordinates (degrees)
045.386° N, 073.267° W
Coordinates (DMS)
045° 23' 00" W, 073° 16' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (24)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
A-1376 NA charred cooking residue NA NA 2995±25 BP 3319–3075 cal BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
A-1377 NA charred cooking residue NA NA 2975±30 BP 3311–3010 cal BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
A-1378 NA charred cooking residue NA NA 2675±20 BP 2844–2750 cal BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
A-1380 NA charred cooking residue NA NA 2390±15 BP 2463–2350 cal BP Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement. Bird et al. 2022
GX-1284 NA charbon de bois; charcoal NA NA 1140±110 BP 1288–797 cal BP Roosevelt 1991 Bird et al. 2022
QU-1330 NA os de mammifére; mammal bone NA NA 1340±80 BP 1375–1069 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
QU-1331 NA charbon de bois; charcoal NA NA 3590±90 BP 4149–3640 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
QU-1332 NA charbon de bois; charcoal NA NA 3450±90 BP 3960–3481 cal BP Taillon et Barrà 1987 Bird et al. 2022
RL-1521 NA os de mammifére; mammal bone NA NA 1220±110 BP 1310–924 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995; Faunmap 3587 Bird et al. 2022
RL-1522 NA os de mammifére; mammal bone NA NA 1180±100 BP 1294–920 cal BP Taillon et Barrà 1987; Clermont et Chapdelaine 1982 Bird et al. 2022
RL-1686 NA charbon de bois; charcoal NA NA 3600±140 BP 4349–3495 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
RL-1687 NA charbon de bois; charcoal NA NA 970±110 BP 1173–675 cal BP Vickers 1986 citing Ronaghan and Landals (1983) Bird et al. 2022
RL-1819 NA charbon de bois; charcoal NA NA 2260±120 BP 2703–1945 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
RL-1820 NA charbon de bois; charcoal NA NA 1090±110 BP 1271–780 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
RL-1821 NA charbon de bois; charcoal NA NA 2900±130 BP 3355–2770 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
RL-1822 NA charbon de bois; charcoal NA NA 1990±120 BP 2304–1623 cal BP Taillon et Barrà 1987; Chapdelaine 1984a Bird et al. 2022
RL-1873 NA os de poisson; fish bone NA NA 1440±110 BP 1547–1073 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
RL-1874 NA charbon de bois; charcoal NA NA 4060±130 BP 4856–4157 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022
RL-1875 NA charbon de bois; charcoal NA NA 1040±110 BP 1244–726 cal BP UW/OWSA Bird et al. 2022
RL-1964 NA charbon de bois; charcoal NA NA 1300±110 BP 1380–960 cal BP Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Roosevelt 1991,
  
}
@misc{Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement.,
  
}
@misc{Taillon et Barrà 1987,
  
}
@misc{Taillon et Barrà 1987; Clermont et Chapdelaine 1982,
  
}
@misc{Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995; Faunmap 3587,
  
}
@misc{Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995,
  
}
@misc{Rutherford et al. 1975; Taillon et Barrà 1987; Corbeil et Clermont 1997,
  
}
@misc{Vickers 1986 citing Ronaghan and Landals (1983),
  
}
@misc{Taillon et Barrà 1987; Chapdelaine 1984a,
  
}
@misc{UW/OWSA,
  
}
@misc{Taillon et Barrà 1987; Chapdelaine 1987,
  
}
@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":"Roosevelt 1991","bibtex_type":"misc"}{"bibtex_key":"Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon Databases for Early Durable Cooking Vessel Technologies in Northeastern North America. American Antiquity 78(2): 359à372 with on-line supplement.","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Clermont et Chapdelaine 1982","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995; Faunmap 3587","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991; Cossette 1995","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1975; Taillon et Barrà 1987; Corbeil et Clermont 1997","bibtex_type":"misc"}{"bibtex_key":"Vickers 1986 citing Ronaghan and Landals (1983)","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Chapdelaine 1984a","bibtex_type":"misc"}{"bibtex_key":"UW/OWSA","bibtex_type":"misc"}{"bibtex_key":"Taillon et Barrà 1987; Chapdelaine 1987","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: Roosevelt 1991
:bibtex_type: :misc
---
:bibtex_key: 'Tachà Karine and John P. Hart. 2013. Chronometric Hygiene of Radiocarbon
  Databases for Early Durable Cooking Vessel Technologies in Northeastern North America.
  American Antiquity 78(2): 359à372 with on-line supplement.'
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Clermont et Chapdelaine 1982
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991;
  Cossette 1995; Faunmap 3587
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1975; Taillon et Barrà 1987; Clermont et Cossette 1991;
  Cossette 1995
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1975; Taillon et Barrà 1987; Corbeil et Clermont 1997
:bibtex_type: :misc
---
:bibtex_key: Vickers 1986 citing Ronaghan and Landals (1983)
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Chapdelaine 1984a
:bibtex_type: :misc
---
:bibtex_key: UW/OWSA
:bibtex_type: :misc
---
:bibtex_key: Taillon et Barrà 1987; Chapdelaine 1987
: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