Site type

Location

200 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)
009.560° S, 076.160° W
Coordinates (DMS)
009° 33' 00" W, 076° 09' 00" S
Country (ISO 3166)
Peru (PE)

radiocarbon date Radiocarbon dates (15)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
GaK-261 unknown NA NA 3070±110 BP 3546–2955 cal BP Ziolkowski et al 1994 Bird et al. 2022
GaK-262 charcoal NA NA 3800±100 BP 4505–3899 cal BP Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971; Faunmap 2204 Bird et al. 2022
GaK-263 unknown NA NA 3150±150 BP 3811–2954 cal BP Davis 1982; Frison 1991: 30; Lahren 1976: 43; Webster 2004 Bird et al. 2022
GaK-764 unknown NA NA 2040±100 BP 2305–1736 cal BP Ziolkowski et al 1994 Bird et al. 2022
GaK-765 unknown NA NA 3780±90 BP 4415–3909 cal BP Ziolkowski et al 1994 Bird et al. 2022
GaK-766a unknown NA NA 3620±100 BP 4236–3641 cal BP Ziolkowski et al 1994 Bird et al. 2022
GaK-766b unknown NA NA 3900±100 BP 4781–3988 cal BP Oregon database Bird et al. 2022
N-65-2 charcoal NA NA 2820±120 BP 3328–2736 cal BP Iwasaki and Tsuneki (eds.) 2003 Bird et al. 2022
N-66-a charcoal NA NA 2870±230 BP 3560–2371 cal BP Ziolkowski et al 1994 Bird et al. 2022
N-67-2 charcoal NA NA 2840±170 BP 3442–2500 cal BP Ziolkowski et al 1994 Bird et al. 2022
N-69-2 unknown NA NA 3100±130 BP 3615–2935 cal BP Grosser 1973; A.E. Johnson 1992; Yamasaki et al. 1972: 229 Bird et al. 2022
TK-108 charcoal NA NA 3000±80 BP 3372–2960 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-109 charcoal NA NA 3360±160 BP 4077–3215 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-110 charcoal NA NA 3470±80 BP 3965–3493 cal BP Ziolkowski et al 1994 Bird et al. 2022
TK-44 charcoal NA NA 2190±250 BP 2760–1587 cal BP Ziolkowski et al 1994 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references 

@misc{Ziolkowski et al 1994,
  
}
@misc{Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971; Faunmap 2204,
  
}
@misc{Davis 1982; Frison 1991: 30; Lahren 1976: 43; Webster 2004,
  
}
@misc{Oregon database,
  
}
@misc{Iwasaki and Tsuneki (eds.) 2003,
  
}
@misc{Grosser 1973; A.E. Johnson 1992; Yamasaki et al. 1972: 229,
  
}
@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":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971; Faunmap 2204","bibtex_type":"misc"}{"bibtex_key":"Davis 1982; Frison 1991: 30; Lahren 1976: 43; Webster 2004","bibtex_type":"misc"}{"bibtex_key":"Oregon database","bibtex_type":"misc"}{"bibtex_key":"Iwasaki and Tsuneki (eds.) 2003","bibtex_type":"misc"}{"bibtex_key":"Grosser 1973; A.E. Johnson 1992; Yamasaki et al. 1972: 229","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: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: 'Maslowski et al. 1995; Watson 1974 1985; Railey 1990: 287; Robbins 1971;
  Faunmap 2204'
:bibtex_type: :misc
---
:bibtex_key: 'Davis 1982; Frison 1991: 30; Lahren 1976: 43; Webster 2004'
:bibtex_type: :misc
---
:bibtex_key: Oregon database
:bibtex_type: :misc
---
:bibtex_key: Iwasaki and Tsuneki (eds.) 2003
:bibtex_type: :misc
---
:bibtex_key: 'Grosser 1973; A.E. Johnson 1992; Yamasaki et al. 1972: 229'
: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