Site type

Location

Coordinates (degrees)
016.500° S, 072.633° W
Coordinates (DMS)
016° 30' 00" W, 072° 37' 00" S
Country (ISO 3166)
Peru (PE)

radiocarbon date Radiocarbon dates (18)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BGS-1701 charcoal NA NA 9120±300 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1702 charcoal NA NA 10770±130 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1703 charcoal NA NA 9020±170 BP Sandweiss et al. 1998 Bird et al. 2022
BGS-1936 charcoal NA NA 10475±125 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1937 charcoal NA NA 10725±175 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1938 charcoal NA NA 10560±125 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1939 charcoal NA NA 10600±135 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1940 charcoal NA NA 10700±300 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1942 charcoal NA NA 11105±260 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1943 charcoal NA NA 10274±125 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1944 charcoal NA NA 8053±115 BP Sandweiss et al. 1998 Bird et al. 2022
BGS-1956 charcoal NA NA 9850±170 BP Sandweiss et al. 1998 Bird et al. 2022
BGS-1957 charcoal NA NA 10190±220 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-1960 charcoal NA NA 9597±135 BP Sandweiss et al. 1998 Bird et al. 2022
BGS-2023 charcoal NA NA 9657±220 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-2024 charcoal NA NA 11088±220 BP Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832. Bird et al. 2022
BGS-2025 charcoal NA NA 10507±125 BP Fedje 1986; Faunmap 4027 Bird et al. 2022
Ny-383 charcoal NA NA 10200±140 BP Sutton 1982 Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832.,
  
}
@misc{Sandweiss et al. 1998,
  
}
@misc{Fedje 1986; Faunmap 4027,
  
}
@misc{Sutton 1982,
  
}
@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":"Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American maritime adaptations. Science 281 1830-1832.","bibtex_type":"misc"}{"bibtex_key":"Sandweiss et al. 1998","bibtex_type":"misc"}{"bibtex_key":"Fedje 1986; Faunmap 4027","bibtex_type":"misc"}{"bibtex_key":"Sutton 1982","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: 'Sandweiss D. H. McInnis H. Burger R. L. Cano A. Ojeda B. del Carmen
  Paredes R. Sandweiss M. Glascock M. D. (1998). Quebrada jaguay: early South American
  maritime adaptations. Science 281 1830-1832.'
:bibtex_type: :misc
---
:bibtex_key: Sandweiss et al. 1998
:bibtex_type: :misc
---
:bibtex_key: Fedje 1986; Faunmap 4027
:bibtex_type: :misc
---
:bibtex_key: Sutton 1982
: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