Winter – XRONOS

Site type

Location

Coordinates (degrees): 052.151° N, 111.725° W
Coordinates (DMS): 052° 09' 00" W, 111° 43' 00" N
Country (ISO 3166): Canada (CA)

Lab ID	Context	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
AECV-632C	NA	carbonaceous sediment; sédiment charbonneux	NA	NA	22710±480 BP	27739–26015 cal BP	Burns 1996b p.c. 1999 Bird et al. 2022
AECV-654C	NA	carbonaceous sediment; sédiment charbonneux	NA	NA	19730±360 BP	24615–22955 cal BP	Burns 1996b p.c. 1999 Bird et al. 2022
Beta-237017	NA	POTTERYRESIDUE	NA	AMS	1920±40 BP	1935–1732 cal BP	Albert 2018 Earliest Microbotanical Evidence for Maize... Bird et al. 2022
Beta-237018	NA	POTTERYRESIDUE	NA	AMS	1860±40 BP	1870–1640 cal BP	Albert 2018 Earliest Microbotanical Evidence for Maize... Bird et al. 2022
Beta-237019	NA	POTTERYRESIDUE	NA	AMS	2090±40 BP	2288–1942 cal BP	Albert 2018 Earliest Microbotanical Evidence for Maize... Bird et al. 2022
RIDDL-681	NA	prairie dog bone collagen; collagène osseux de chien de prairie	NA	NA	22200±320 BP	27147–25930 cal BP	Fedje 1986; Fedje et al. 1995; Faunmap 2975 Bird et al. 2022
TO-1142	NA	prairie dog bone collagen; collagène osseux de chien de prairie	NA	NA	33650±340 BP	39418–37480 cal BP	Lee et al. 2007 Bird et al. 2022
TO-1304	NA	prairie dog bone collagen; collagène osseux de chien de prairie	NA	NA	29610±220 BP	34492–33745 cal BP	Graham et al. 1987; Burns 1996a 1996b; Young 1991; Faunmap 4024 Bird et al. 2022
WIS-1358	NA	CHARCOAL	NA	RADIOMETRIC	400±70 BP	535–307 cal BP	Anfinson 1997; Steventon and Kutzbach 1983: 154 Bird et al. 2022
WIS-1359	NA	CHARCOAL	NA	RADIOMETRIC	1180±70 BP	1273–956 cal BP	Anfinson 1997; Steventon and Kutzbach 1983: 154 Bird et al. 2022
WIS-1371	NA	CHARCOAL	NA	RADIOMETRIC	1110±70 BP	1245–830 cal BP	Anfinson 1997; Steventon and Kutzbach 1983: 154 Bird et al. 2022
WIS-1372	NA	CHARCOAL	NA	RADIOMETRIC	1250±70 BP	1297–995 cal BP	Anfinson 1997; Steventon and Kutzbach 1983: 154 Bird et al. 2022
WIS-1373	NA	CHARCOAL	NA	RADIOMETRIC	1950±70 BP	2051–1709 cal BP	Anfinson 1997; Steventon and Kutzbach 1983: 154 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Fedje 1986; Fedje et al. 1995; Faunmap 2975]
No bibliographic information available. [Burns 1996b p.c. 1999]
No bibliographic information available. [Albert 2018 Earliest Microbotanical Evidence for Maize...]
No bibliographic information available. [Lee et al. 2007]
No bibliographic information available. [Graham et al. 1987; Burns 1996a 1996b; Young 1991; Faunmap 4024]
No bibliographic information available. [Anfinson 1997; Steventon and Kutzbach 1983: 154]
Bird, D., Miranda, L., Vander Linden, M., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayo, E. M., Gil, A., d’Alpoim Guedes, J., Hoggarth, J. A., Kay, A., Loftus, E., Lombardo, U., Mackie, M., Palmisano, A., Solheim, S., Kelly, R. L., & Freeman, J. (2022). P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates. Scientific Data, 9(1), 27. https://doi.org/10.1038/s41597-022-01118-7 [p3k14c]

@misc{Fedje 1986; Fedje et al. 1995; Faunmap 2975,
  
}
@misc{Burns 1996b p.c. 1999,
  
}
@misc{Albert 2018 Earliest Microbotanical Evidence for Maize...,
  
}
@misc{Lee et al. 2007,
  
}
@misc{Graham et al. 1987; Burns 1996a 1996b; Young 1991; Faunmap 4024,
  
}
@misc{Anfinson 1997; Steventon and Kutzbach 1983: 154,
  
}
@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":"Fedje 1986; Fedje et al. 1995; Faunmap 2975","bibtex_type":"misc"}{"bibtex_key":"Burns 1996b p.c. 1999","bibtex_type":"misc"}{"bibtex_key":"Albert 2018 Earliest Microbotanical Evidence for Maize...","bibtex_type":"misc"}{"bibtex_key":"Lee et al. 2007","bibtex_type":"misc"}{"bibtex_key":"Graham et al. 1987; Burns 1996a 1996b; Young 1991; Faunmap 4024","bibtex_type":"misc"}{"bibtex_key":"Anfinson 1997; Steventon and Kutzbach 1983: 154","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: Fedje 1986; Fedje et al. 1995; Faunmap 2975
:bibtex_type: :misc
---
:bibtex_key: Burns 1996b p.c. 1999
:bibtex_type: :misc
---
:bibtex_key: Albert 2018 Earliest Microbotanical Evidence for Maize...
:bibtex_type: :misc
---
:bibtex_key: Lee et al. 2007
:bibtex_type: :misc
---
:bibtex_key: Graham et al. 1987; Burns 1996a 1996b; Young 1991; Faunmap 4024
:bibtex_type: :misc
---
:bibtex_key: 'Anfinson 1997; Steventon and Kutzbach 1983: 154'
: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

Imported from source database via c14bazAAR

XRONOS development team 2022-12-02 00:50:45 UTC

Location

Linked Data

Radiocarbon dates (13)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR