Site type

Location

100 m
Leaflet Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community
Coordinates (degrees)
049.987° N, 122.595° W
Coordinates (DMS)
049° 59' 00" W, 122° 35' 00" N
Country (ISO 3166)
Canada (CA)

radiocarbon date Radiocarbon dates (37)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
Beta-71114 marine shell; coquillage NA NA 210±55 BP 426–52 cal BP Borden 1970; Wilmeth 1978a; Mitchell 1971a; McCallum 1955; Brolly and Muir 1993; Stiefel 1985; Faunmap 4088 Bird et al. 2022
Beta-52911 charcoal; charbon de bois NA NA 280±50 BP 479–150 cal BP BLACK 1982 Bird et al. 2022
Beta-40987 human bone collagen; collagène osseux humain NA NA 310±60 BP 502–152 cal BP Manning 1991 Simmons 1991 Simmons and Wiegand 1994 Bird et al. 2022
Beta-34784 charcoal; charbon de bois NA NA 430±80 BP 623–306 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-39277 human bone collagen; collagène osseux humain NA NA 530±60 BP 652–490 cal BP CARD Bird et al. 2022
Beta-40892 charcoal; charbon de bois NA NA 960±60 BP 957–735 cal BP HIGH PLAINS ARCHAEOLOGY PROJECT (UNIVERSITY OF WYOMING) Bird et al. 2022
Beta-39223 organic sediment; sédiment organique NA NA 990±60 BP 1051–739 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-34785 wood; bois NA NA 1200±70 BP 1276–960 cal BP Franke 2016 Bird et al. 2022
Beta-38354 human bone collagen; collagène osseux humain NA NA 1250±60 BP 1293–1008 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-40983 human bone collagen; collagène osseux humain NA NA 1260±80 BP 1304–975 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-39231 human bone collagen; collagène osseux humain NA NA 1260±50 BP 1286–1070 cal BP CARD Bird et al. 2022
Beta-38349 human bone collagen; collagène osseux humain NA NA 1360±60 BP 1375–1130 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990; Faunmap 4083 Bird et al. 2022
Beta-40986 human bone collagen; collagène osseux humain NA NA 1380±70 BP 1402–1130 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-38350 human bone collagen; collagène osseux humain NA NA 1450±60 BP 1515–1193 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-39229 human bone collagen; collagène osseux humain NA NA 1500±50 BP 1516–1301 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
SFU-571 charcoal; charbon de bois NA NA 1510±60 BP 1518–1305 cal BP Curtin 1998; Skinner 1991 Bird et al. 2022
Beta-39228 human bone collagen; collagène osseux humain NA NA 1510±60 BP 1518–1305 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-39224 dog bone collagen; collagène osseux de chien NA NA 1530±60 BP 1529–1309 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-40985 human bone collagen; collagène osseux humain NA NA 1600±60 BP 1685–1357 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022
Beta-39225 human bone collagen; collagène osseux humain NA NA 1600±50 BP 1586–1367 cal BP Arcas Consulting 1994; Hanson 1991; Bernick and Howe 1990 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990;  Faunmap 4083,
  
}
@misc{Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990,
  
}
@misc{Franke 2016,
  
}
@article{Jorgensen2020,
  title = {The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway: An Overview of Human-Climate Covariation},
  shorttitle = {The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway},
  author = {Jørgensen, Erlend Kirkeng},
  date = {2020-05-30},
  journaltitle = {Quaternary International},
  shortjournal = {Quaternary International},
  series = {Long-Term Perspectives on Circumpolar Social-Ecological Systems},
  volume = {549},
  pages = {36–51},
  issn = {1040-6182},
  doi = {10.1016/j.quaint.2018.05.014},
  url = {https://www.sciencedirect.com/science/article/pii/S1040618217315124},
  urldate = {2023-09-07},
  abstract = {This paper presents the first palaeodemographic results of a newly assembled region-wide radiocarbon record of the Arctic regions of northern Norway. The dataset contains a comprehensive collection of radiocarbon dates in the area (N\,= 1205) and spans the 10,000-year period of hunter-gatherer settlement history from 11500 to 1500 cal BP. Utilizing local, high-resolution palaeoclimate data, the paper performs multi-proxy correlation testing of climate and demographic dynamics, looking for hunter-gatherer responses to climate variability. The paper compares both long-term climate trends and short-term disruptive climate events with the demographic development in the region. The results demonstrate marked demographic fluctuations throughout the period, characterized by a general increase, punctuated by three significant boom and bust-cycles centred on 6000, 3800 and 2200 cal BP, interpreted as instances of climate forcing of human demographic responses. The results strongly suggest the North Cape Current as a primary driver in the local environment and supports the patterns of covariance between coastal climate proxies and the palaeodemographic model. A mechanism of climate forcing mediation through marine trophic webs is proposed as a tentative explanation of the observed demographic fluxes, and a comparison with inter-regional results demonstrate remarkable similarity in demographic trends across mid-Holocene north and west Europe. The results of the north Norwegian radiocarbon record are thus consistent with independent, international efforts, corroborating the existing pan-European results and help further substantiate super-regional climate variability as the primary driver of population dynamics regardless of economic adaptation.},
  keywords = {Archaeology,Human ecology,Human/climate covariation,Northern Norway,Palaeodemographic modelling,Summed probability distribution (SPD)}
}
@misc{FIELD NOTES MAY/JUNE 2016,
  
}
@misc{CARD,
  
}
@misc{HIGH PLAINS ARCHAEOLOGY PROJECT (UNIVERSITY OF WYOMING),
  
}
@misc{Manning 1991 Simmons 1991 Simmons and Wiegand 1994,
  
}
@misc{BLACK 1982,
  
}
@misc{Borden 1970;  Wilmeth 1978a;  Mitchell 1971a;  McCallum 1955;  Brolly and Muir 1993;  Stiefel 1985;  Faunmap 4088,
  
}
@misc{Curtin 1998;  Skinner 1991,
  
}
@misc{Bernick 1988 1989,
  
}
@misc{Pilon 1987a,
  
}
@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":"Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990;  Faunmap 4083","bibtex_type":"misc"}{"bibtex_key":"Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990","bibtex_type":"misc"}{"bibtex_key":"Franke 2016","bibtex_type":"misc"}[{"bibtex_key":"Jorgensen2020","bibtex_type":"article","title":"{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway: An Overview of Human-Climate Covariation}","shorttitle":"{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic Norway}","author":"{Jørgensen, Erlend Kirkeng}","date":"{2020-05-30}","journaltitle":"{Quaternary International}","shortjournal":"{Quaternary International}","series":"{Long-Term Perspectives on Circumpolar Social-Ecological Systems}","volume":"{549}","pages":"{36–51}","issn":"{1040-6182}","doi":"{10.1016/j.quaint.2018.05.014}","url":"{https://www.sciencedirect.com/science/article/pii/S1040618217315124}","urldate":"{2023-09-07}","abstract":"{This paper presents the first palaeodemographic results of a newly assembled region-wide radiocarbon record of the Arctic regions of northern Norway. The dataset contains a comprehensive collection of radiocarbon dates in the area (N\\,= 1205) and spans the 10,000-year period of hunter-gatherer settlement history from 11500 to 1500 cal BP. Utilizing local, high-resolution palaeoclimate data, the paper performs multi-proxy correlation testing of climate and demographic dynamics, looking for hunter-gatherer responses to climate variability. The paper compares both long-term climate trends and short-term disruptive climate events with the demographic development in the region. The results demonstrate marked demographic fluctuations throughout the period, characterized by a general increase, punctuated by three significant boom and bust-cycles centred on 6000, 3800 and 2200 cal BP, interpreted as instances of climate forcing of human demographic responses. The results strongly suggest the North Cape Current as a primary driver in the local environment and supports the patterns of covariance between coastal climate proxies and the palaeodemographic model. A mechanism of climate forcing mediation through marine trophic webs is proposed as a tentative explanation of the observed demographic fluxes, and a comparison with inter-regional results demonstrate remarkable similarity in demographic trends across mid-Holocene north and west Europe. The results of the north Norwegian radiocarbon record are thus consistent with independent, international efforts, corroborating the existing pan-European results and help further substantiate super-regional climate variability as the primary driver of population dynamics regardless of economic adaptation.}","keywords":"{Archaeology,Human ecology,Human/climate covariation,Northern Norway,Palaeodemographic modelling,Summed probability distribution (SPD)}"}]{"bibtex_key":"FIELD NOTES MAY/JUNE 2016","bibtex_type":"misc"}{"bibtex_key":"CARD","bibtex_type":"misc"}{"bibtex_key":"HIGH PLAINS ARCHAEOLOGY PROJECT (UNIVERSITY OF WYOMING)","bibtex_type":"misc"}{"bibtex_key":"Manning 1991 Simmons 1991 Simmons and Wiegand 1994","bibtex_type":"misc"}{"bibtex_key":"BLACK 1982","bibtex_type":"misc"}{"bibtex_key":"Borden 1970;  Wilmeth 1978a;  Mitchell 1971a;  McCallum 1955;  Brolly and Muir 1993;  Stiefel 1985;  Faunmap 4088","bibtex_type":"misc"}{"bibtex_key":"Curtin 1998;  Skinner 1991","bibtex_type":"misc"}{"bibtex_key":"Bernick 1988 1989","bibtex_type":"misc"}{"bibtex_key":"Pilon 1987a","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: Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990;  Faunmap
  4083
:bibtex_type: :misc
---
:bibtex_key: Arcas Consulting 1994;  Hanson 1991;  Bernick and Howe 1990
:bibtex_type: :misc
---
:bibtex_key: Franke 2016
:bibtex_type: :misc
---
- :bibtex_key: Jorgensen2020
  :bibtex_type: :article
  :title: "{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic
    Norway: An Overview of Human-Climate Covariation}"
  :shorttitle: "{The Palaeodemographic and Environmental Dynamics of Prehistoric Arctic
    Norway}"
  :author: "{Jørgensen, Erlend Kirkeng}"
  :date: "{2020-05-30}"
  :journaltitle: "{Quaternary International}"
  :shortjournal: "{Quaternary International}"
  :series: "{Long-Term Perspectives on Circumpolar Social-Ecological Systems}"
  :volume: "{549}"
  :pages: "{36–51}"
  :issn: "{1040-6182}"
  :doi: "{10.1016/j.quaint.2018.05.014}"
  :url: "{https://www.sciencedirect.com/science/article/pii/S1040618217315124}"
  :urldate: "{2023-09-07}"
  :abstract: "{This paper presents the first palaeodemographic results of a newly
    assembled region-wide radiocarbon record of the Arctic regions of northern Norway.
    The dataset contains a comprehensive collection of radiocarbon dates in the area
    (N\\,= 1205) and spans the 10,000-year period of hunter-gatherer settlement history
    from 11500 to 1500 cal BP. Utilizing local, high-resolution palaeoclimate data,
    the paper performs multi-proxy correlation testing of climate and demographic
    dynamics, looking for hunter-gatherer responses to climate variability. The paper
    compares both long-term climate trends and short-term disruptive climate events
    with the demographic development in the region. The results demonstrate marked
    demographic fluctuations throughout the period, characterized by a general increase,
    punctuated by three significant boom and bust-cycles centred on 6000, 3800 and
    2200 cal BP, interpreted as instances of climate forcing of human demographic
    responses. The results strongly suggest the North Cape Current as a primary driver
    in the local environment and supports the patterns of covariance between coastal
    climate proxies and the palaeodemographic model. A mechanism of climate forcing
    mediation through marine trophic webs is proposed as a tentative explanation of
    the observed demographic fluxes, and a comparison with inter-regional results
    demonstrate remarkable similarity in demographic trends across mid-Holocene north
    and west Europe. The results of the north Norwegian radiocarbon record are thus
    consistent with independent, international efforts, corroborating the existing
    pan-European results and help further substantiate super-regional climate variability
    as the primary driver of population dynamics regardless of economic adaptation.}"
  :keywords: "{Archaeology,Human ecology,Human/climate covariation,Northern Norway,Palaeodemographic
    modelling,Summed probability distribution (SPD)}"
---
:bibtex_key: FIELD NOTES MAY/JUNE 2016
:bibtex_type: :misc
---
:bibtex_key: CARD
:bibtex_type: :misc
---
:bibtex_key: HIGH PLAINS ARCHAEOLOGY PROJECT (UNIVERSITY OF WYOMING)
:bibtex_type: :misc
---
:bibtex_key: Manning 1991 Simmons 1991 Simmons and Wiegand 1994
:bibtex_type: :misc
---
:bibtex_key: BLACK 1982
:bibtex_type: :misc
---
:bibtex_key: Borden 1970;  Wilmeth 1978a;  Mitchell 1971a;  McCallum 1955;  Brolly
  and Muir 1993;  Stiefel 1985;  Faunmap 4088
:bibtex_type: :misc
---
:bibtex_key: Curtin 1998;  Skinner 1991
:bibtex_type: :misc
---
:bibtex_key: Bernick 1988 1989
:bibtex_type: :misc
---
:bibtex_key: Pilon 1987a
: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