Site type

Location

Coordinates (degrees)
042.902° N, 074.440° W
Coordinates (DMS)
042° 54' 00" W, 074° 26' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (9)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
UCIAMS-192977 BONE disarticulated white tailed deer bone AMS 685±15 BP Hart and Manning 2019-Radiocarbon Baysian chronological modeling and…. Bird et al. 2022
ISGS-A327 SEEDS Zea mays AMS 691±39 BP Hart et al. 2003 Bird et al. 2022
ISGS-0327 Maize NA NA 691±39 BP Liu et al. 1992: 89-90 Bird et al. 2022
UCIAMS-190543 BONE disarticulated white tailed deer bone AMS 705±20 BP Hart and Manning 2019-Radiocarbon Baysian chronological modeling and…. Bird et al. 2022
UCIAMS-190542 BONE disarticulated white tailed deer bone AMS 710±20 BP Hart and Manning 2019-Radiocarbon Baysian chronological modeling and…. Bird et al. 2022
UCIAMS-190544 BONE disarticulated white tailed deer bone AMS 710±15 BP Hart and Manning 2019-Radiocarbon Baysian chronological modeling and…. Bird et al. 2022
M-492 CHARCOAL NA RADIOMETRIC 800±100 BP Ritchie 1969; Snow 1995; Crane and Griffin 1958: 1100; Faunmap 103 Bird et al. 2022
M-178 CHARCOAL NA RADIOMETRIC 1170±100 BP Snow 1995; Crane and Griffin 1958: 1100 Bird et al. 2022
M-28 CHARCOAL NA RADIOMETRIC 1670±150 BP Snow 1995; Crane 1956: 667 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Liu et al. 1992: 89-90,
  
}
@misc{Hart et al. 2003,
  
}
@misc{Snow 1995; Crane and Griffin 1958: 1100,
  
}
@misc{Snow 1995; Crane 1956: 667,
  
}
@misc{Ritchie 1969; Snow 1995; Crane and Griffin 1958: 1100; Faunmap 103,
  
}
@misc{Hart and Manning 2019-Radiocarbon Baysian chronological modeling and….,
  
}
@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":"Liu et al. 1992: 89-90","bibtex_type":"misc"}{"bibtex_key":"Hart et al. 2003","bibtex_type":"misc"}{"bibtex_key":"Snow 1995; Crane and Griffin 1958: 1100","bibtex_type":"misc"}{"bibtex_key":"Snow 1995; Crane 1956: 667","bibtex_type":"misc"}{"bibtex_key":"Ritchie 1969; Snow 1995; Crane and Griffin 1958: 1100; Faunmap 103","bibtex_type":"misc"}{"bibtex_key":"Hart and Manning 2019-Radiocarbon Baysian chronological modeling and….","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: 'Liu et al. 1992: 89-90'
:bibtex_type: :misc
---
:bibtex_key: Hart et al. 2003
:bibtex_type: :misc
---
:bibtex_key: 'Snow 1995; Crane and Griffin 1958: 1100'
:bibtex_type: :misc
---
:bibtex_key: 'Snow 1995; Crane 1956: 667'
:bibtex_type: :misc
---
:bibtex_key: 'Ritchie 1969; Snow 1995; Crane and Griffin 1958: 1100; Faunmap 103'
:bibtex_type: :misc
---
:bibtex_key: Hart and Manning 2019-Radiocarbon Baysian chronological modeling and….
: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