Morro 1
Archaeological site
in Chile
Record created in XRONOS on 2022-12-02 00:50:45 UTC.
Last updated on 2022-12-02 00:50:45 UTC.
See changelog for details.
Contributors: XRONOS development team
Contributors: XRONOS development team
Location
Radiocarbon dates
(28)
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| I-13541 | Human soft tissue | NA | NA | 4200±100 BP | Allison et al 1984 Rivera y Rothhammer 1986 Bird et al. 2022 | ||
| I-13542 | Human soft tissue | NA | NA | 4570±100 BP | Allison et al 1984 Rivera y Rothhammer 1986 Bird et al. 2022 | ||
| I-13543 | Wood | NA | NA | 4040±100 BP | Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox 1983a 1993 Bird et al. 2022 | ||
| I-13650 | Charred organic material | NA | NA | 4350±280 BP | Allison et al 1984 Rivera y Rothhammer 1986 Bird et al. 2022 | ||
| I-13651 | Human soft tissue | NA | NA | 3670±100 BP | Allison et al 1984 Rivera y Rothhammer 1986 Bird et al. 2022 | ||
| I-13652 | Human soft tissue | NA | NA | 3830±100 BP | Allison et al 1984 Rivera y Rothhammer 1986 Bird et al. 2022 | ||
| I-13656 | Human soft tissue | NA | NA | 3790±140 BP | Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al. 1985; Gold 2005 Bird et al. 2022 | ||
| I-14336 | Human soft tissue | NA | NA | 4360±110 BP | Ziolkowski et al 1994 Bird et al. 2022 |
Typological dates
(0)
| Classification | Estimated age | References |
|---|
Bibliographic references
- No bibliographic information available. [Arriaza et al 2005]
- No bibliographic information available. [Santoro 2004]
- No bibliographic information available. [Standen y Santoro 2004]
- No bibliographic information available. [Hockett and Dillingham 2004]
- No bibliographic information available. [Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003: 411; McGhee 1970]
- No bibliographic information available. [Aufderheide et al 2002]
- No bibliographic information available. [Gayo et al 2015]
- No bibliographic information available. [Ziolkowski et al 1994]
- No bibliographic information available. [Allison et al 1984 Rivera y Rothhammer 1986]
- No bibliographic information available. [Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox 1983a 1993]
- No bibliographic information available. [Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al. 1985; Gold 2005]
- 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{Arriaza et al 2005,
}
@misc{Santoro 2004,
}
@misc{Standen y Santoro 2004,
}
@misc{Hockett and Dillingham 2004,
}
@misc{Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003: 411; McGhee 1970,
}
@misc{Aufderheide et al 2002,
}
@misc{Gayo et al 2015,
}
@misc{Ziolkowski et al 1994,
}
@misc{Allison et al 1984 Rivera y Rothhammer 1986,
}
@misc{Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox 1983a 1993,
}
@misc{Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al. 1985; Gold 2005,
}
@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":"Arriaza et al 2005","bibtex_type":"misc"}{"bibtex_key":"Santoro 2004","bibtex_type":"misc"}{"bibtex_key":"Standen y Santoro 2004","bibtex_type":"misc"}{"bibtex_key":"Hockett and Dillingham 2004","bibtex_type":"misc"}{"bibtex_key":"Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003: 411; McGhee 1970","bibtex_type":"misc"}{"bibtex_key":"Aufderheide et al 2002","bibtex_type":"misc"}{"bibtex_key":"Gayo et al 2015","bibtex_type":"misc"}{"bibtex_key":"Ziolkowski et al 1994","bibtex_type":"misc"}{"bibtex_key":"Allison et al 1984 Rivera y Rothhammer 1986","bibtex_type":"misc"}{"bibtex_key":"Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox 1983a 1993","bibtex_type":"misc"}{"bibtex_key":"Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al. 1985; Gold 2005","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: Arriaza et al 2005
:bibtex_type: :misc
---
:bibtex_key: Santoro 2004
:bibtex_type: :misc
---
:bibtex_key: Standen y Santoro 2004
:bibtex_type: :misc
---
:bibtex_key: Hockett and Dillingham 2004
:bibtex_type: :misc
---
:bibtex_key: 'Wilmeth 1978; Gordon 1996; Morrison 1979; Faunmap 4187; Harington 2003:
411; McGhee 1970'
:bibtex_type: :misc
---
:bibtex_key: Aufderheide et al 2002
:bibtex_type: :misc
---
:bibtex_key: Gayo et al 2015
:bibtex_type: :misc
---
:bibtex_key: Ziolkowski et al 1994
:bibtex_type: :misc
---
:bibtex_key: Allison et al 1984 Rivera y Rothhammer 1986
:bibtex_type: :misc
---
:bibtex_key: Ferris 1988; Lennox and Fitzgerald 1990; Murphy and Ferris 1990; Fox
1983a 1993
:bibtex_type: :misc
---
:bibtex_key: Breschini Gary S. Trudy Haversat and Jon Erlandson 1996; Bard et al.
1985; Gold 2005
: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}"