Site type

Location

Coordinates (degrees)
040.530° N, 100.394° W
Coordinates (DMS)
040° 31' 00" W, 100° 23' 00" N
Country (ISO 3166)
United States (US)

radiocarbon date Radiocarbon dates (8)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
I-585 NA CHARCOAL NA AMS 780±125 BP 928–540 cal BP Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441 Bird et al. 2022
SI-192 NA CHARCOAL NA RADIOMETRIC 750±80 BP 900–549 cal BP Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1967: 371 Bird et al. 2022
SI-193 NA CHARCOAL NA RADIOMETRIC 800±100 BP 923–556 cal BP Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1966: 415 Bird et al. 2022
SI-32 NA WOOD NA RADIOMETRIC 830±65 BP 909–666 cal BP Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441 Bird et al. 2022
SI-34 NA WOOD NA RADIOMETRIC 1485±65 BP 1518–1293 cal BP Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441 Bird et al. 2022
SI-36 NA WOOD NA RADIOMETRIC 865±65 BP 911–681 cal BP Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441 Bird et al. 2022
SI-40 NA WOOD NA RADIOMETRIC 710±65 BP 734–550 cal BP Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441 Bird et al. 2022
SI-73 NA WOOD NA RADIOMETRIC 820±50 BP 900–667 cal BP Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441,
  
}
@misc{Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1967: 371,
  
}
@misc{Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1966: 415,
  
}
@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":"Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441","bibtex_type":"misc"}{"bibtex_key":"Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1967: 371","bibtex_type":"misc"}{"bibtex_key":"Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1966: 415","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: 'Semken and Falk 1987; Blakeslee 1994; Trautman 1963: 73; Kivett and
  Metcalf 1997: 33; Long 1965: 248; Sigalove and Long 1964: 184; Faunmap 441'
:bibtex_type: :misc
---
:bibtex_key: 'Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1967: 371'
:bibtex_type: :misc
---
:bibtex_key: 'Blakeslee 1994; Kivett and Metcalf 1997: 33; Long and Mielke 1966: 415'
: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