Hunchback Shelter
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
- Coordinates (degrees)
- 038.357° N, 113.236° W
- Coordinates (DMS)
- 038° 21' 00" W, 113° 14' 00" N
- Country (ISO 3166)
- United States (US)
Linked Data
There is no linked data available for this record.
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| Beta-180734 | NA | CHARCOAL | Pinyon-Juniper Charcoal | NA | 1520±60 BP | 1520–1309 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180735 | NA | CHARCOAL | Pinyon-Juniper Charcoal | AMS | 1640±40 BP | 1688–1407 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180736 | NA | CHARCOAL | pinyon/juniper | NA | 1130±60 BP | 1179–925 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180737 | NA | OTHER | other plant | AMS | 1100±40 BP | 1173–925 cal BP | Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180738 | NA | CHARCOAL | Pinyon-Juniper Charcoal | NA | 1140±60 BP | 1241–928 cal BP | Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180739 | NA | CHARCOAL | NA | AMS | 990±40 BP | 958–793 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180740 | NA | CHARCOAL | NA | NA | 1300±50 BP | 1302–1076 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180741 | NA | CHARCOAL | NA | AMS | 1750±40 BP | 1714–1545 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180742 | NA | CHARCOAL | NA | AMS | 1150±40 BP | 1180–958 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180743 | NA | CHARCOAL | NA | AMS | 1480±40 BP | 1413–1297 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180744 | NA | CHARCOAL | Pinyon-Juniper Charcoal | NA | 1110±60 BP | 1178–920 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180745 | NA | CHARCOAL | Pinyon-Juniper Charcoal | NA | 1150±70 BP | 1264–926 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180746 | NA | CHARCOAL | Pinyon-Juniper Charcoal | AMS | 2670±40 BP | 2850–2741 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180747 | NA | SEDIMENT | Charcoal Sediment | NA | 1290±60 BP | 1300–1070 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180748 | NA | CHARCOAL | Annual Plant Charcoals | AMS | 2720±40 BP | 2918–2752 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180749 | NA | CHARCOAL | Annual Plant Charcoal | AMS | 240±40 BP | 435–141 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180750 | NA | CHARCOAL | Annual Plant Charcoals | AMS | 1800±40 BP | 1821–1598 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180751 | NA | CHARCOAL | Annual Plant Charcoals | AMS | 1420±40 BP | 1375–1286 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180752 | NA | CHARCOAL | Annual Plant Charcoals | AMS | 1330±40 BP | 1304–1176 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Beta-180753 | NA | CHARCOAL | Pinyon-Juniper Charcoal | NA | 1130±70 BP | 1248–917 cal BP | GREUBEL 2004; Berry 2005; table 27-1 Bird et al. 2022 |
| Classification | Estimated age | References |
|---|
Bibliographic references
- No bibliographic information available. [Berry 2005; table 27-1]
- No bibliographic information available. [GREUBEL 2004; Berry 2005; table 27-1]
- 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{Berry 2005; table 27-1,
}
@misc{GREUBEL 2004; Berry 2005; table 27-1,
}
@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":"Berry 2005; table 27-1","bibtex_type":"misc"}{"bibtex_key":"GREUBEL 2004; Berry 2005; table 27-1","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: Berry 2005; table 27-1
:bibtex_type: :misc
---
:bibtex_key: GREUBEL 2004; Berry 2005; table 27-1
: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}"