Wabinosh River

Site type

Location

Map Map with labels Imagery

100 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): 052.202° N, 089.015° W
Coordinates (DMS): 052° 12' 00" W, 089° 00' 00" N
Country (ISO 3166): Canada (CA)

Lab ID	Material	Taxon	Method	Uncalibrated age	Calibrated age	References
S-1394	charcoal; charbon de bois	NA	NA	160±70 BP	can not be calculated cal BP	Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984 Bird et al. 2022
S-1395	charcoal; charbon de bois	NA	NA	470±60 BP	629–320 cal BP	Rutherford et al. 1984 Bird et al. 2022
S-680	charcoal; charbon de bois	NA	NA	1095±180 BP	1307–680 cal BP	Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984 Bird et al. 2022
S-681	charcoal; charbon de bois	NA	NA	710±175 BP	972–319 cal BP	Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984 Bird et al. 2022
S-682	charcoal; charbon de bois	NA	NA	350±100 BP	551–139 cal BP	Wilmeth 1978; Rutherford et al. 1975 1981; Syms 1979b; Faunmap 3804 Bird et al. 2022
TO-5204	pottery encrustation; tartre de poterie	NA	NA	1980±80 BP	2115–1720 cal BP	Brownlee and Syms 1999 Bird et al. 2022
TO-6071	pottery encrustation; tartre de poterie	NA	NA	2100±200 BP	2699–1587 cal BP	Healy 1990: Table 1 Bird et al. 2022

Classification	Estimated age	References

Bibliographic references

No bibliographic information available. [Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984]
No bibliographic information available. [Rutherford et al. 1984]
No bibliographic information available. [Wilmeth 1978; Rutherford et al. 1975 1981; Syms 1979b; Faunmap 3804]
No bibliographic information available. [Brownlee and Syms 1999]
No bibliographic information available. [Healy 1990: Table 1]
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{Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984,
  
}
@misc{Rutherford et al. 1984,
  
}
@misc{Wilmeth 1978; Rutherford et al. 1975 1981; Syms 1979b; Faunmap 3804,
  
}
@misc{Brownlee and Syms 1999,
  
}
@misc{Healy 1990: Table 1,
  
}
@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":"Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984","bibtex_type":"misc"}{"bibtex_key":"Rutherford et al. 1984","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Rutherford et al. 1975 1981; Syms 1979b; Faunmap 3804","bibtex_type":"misc"}{"bibtex_key":"Brownlee and Syms 1999","bibtex_type":"misc"}{"bibtex_key":"Healy 1990: Table 1","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: Brandzin-Low 1997; Dawson 1981; Rutherford et al. 1975 1984
:bibtex_type: :misc
---
:bibtex_key: Rutherford et al. 1984
:bibtex_type: :misc
---
:bibtex_key: Wilmeth 1978; Rutherford et al. 1975 1981; Syms 1979b; Faunmap 3804
:bibtex_type: :misc
---
:bibtex_key: Brownlee and Syms 1999
:bibtex_type: :misc
---
:bibtex_key: 'Healy 1990: Table 1'
: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 (7)

Typological dates (0)

Bibliographic references

Changelog

Imported from source database via c14bazAAR