Shuidonggou
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)
- 038.295° N, 106.516° E
- Coordinates (DMS)
- 038° 17' 00" E, 106° 30' 00" N
- Country (ISO 3166)
- China (CN)
Linked Data
| Lab ID | Context | Material | Taxon | Method | Uncalibrated age | Calibrated age | References |
|---|---|---|---|---|---|---|---|
| BA-07940 | NA | Peat | NA | AMS | 29759±245 BP | 34618–33840 cal BP | Pei et al.2012 Bird et al. 2022 |
| BA-07943 | NA | Wood | NA | AMS | 36329±215 BP | 41733–41035 cal BP | Pei et al.2012 Bird et al. 2022 |
| BA-110217 | NA | Charcoal | NA | AMS | 26450±120 BP | 30991–30390 cal BP | Li F et al.2013b Bird et al. 2022 |
| BA-110218 | NA | Charcoal | NA | AMS | 30360±120 BP | 35075–34510 cal BP | Li F et al.2013b Bird et al. 2022 |
| BA-110219 | NA | Charcoal | NA | AMS | 25090±90 BP | 29660–29139 cal BP | Li F et al.2013b Bird et al. 2022 |
| BA-110220 | NA | Charcoal | NA | AMS | 26040±90 BP | 30373–30080 cal BP | Li F et al.2013b Bird et al. 2022 |
| BA-110222 | NA | Bone | NA | AMS | 27190±100 BP | 31290–31110 cal BP | Li F et al.2013b Bird et al. 2022 |
| BA-110223 | NA | Bone | NA | AMS | 28290±110 BP | 32890–31961 cal BP | Li F et al.2013b Bird et al. 2022 |
| BA-110227 | NA | Bone | NA | AMS | 20280±70 BP | 24565–24191 cal BP | Li F et al.2013b Bird et al. 2022 |
| Beta-132982 | NA | Charcoal | NA | AMS | 26350±190 BP | 31000–30206 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-132983 | NA | Charcoal | NA | AMS | 25670±140 BP | 30211–29655 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-132984 | NA | Ostrich eggshell | NA | AMS | 26930±120 BP | 31183–30995 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-134824 | NA | Charcoal | NA | AMS | 26830±200 BP | 31238–30460 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-134825 | NA | Charcoal | NA | AMS | 25650±160 BP | 30216–29338 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-146355 | NA | Charcoal | NA | AMS | 26310±170 BP | 30948–30190 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-146357 | NA | Charcoal | NA | AMS | 29520±230 BP | 34468–33590 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-146358 | NA | Charcoal | NA | AMS | 23790±180 BP | 28465–27672 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-207935 | NA | Ostrich eggshell | NA | AMS | 28420±160 BP | 33100–32027 cal BP | Pei et al.2012 Bird et al. 2022 |
| Beta-207936 | NA | Charcoal | NA | AMS | 28330±170 BP | 33029–31915 cal BP | Pei et al.2012 Bird et al. 2022 |
| PV-0316 | NA | Shell | NA | Conventional | 8520±150 BP | 10112–9032 cal BP | Institute of Archaeology Chinese Academy of Social Sciences.1991 Bird et al. 2022 |
| Classification | Estimated age | References |
|---|
Bibliographic references
- No bibliographic information available. [Pei et al.2012]
- No bibliographic information available. [Li F et al.2013b]
- No bibliographic information available. [Institute of Archaeology Chinese Academy of Social Sciences.1991]
- No bibliographic information available. [Orton J. 2012.Late Holocene archaeology in Namaqualand South Africa: hunter-gatherers and herders in a semi-arid environment(Doctoral dissertation University of Oxford).]
- 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{Pei et al.2012,
}
@misc{Li F et al.2013b,
}
@misc{Institute of Archaeology Chinese Academy of Social Sciences.1991,
}
@misc{Orton J. 2012.Late Holocene archaeology in Namaqualand South Africa: hunter-gatherers and herders in a semi-arid environment(Doctoral dissertation University of Oxford).,
}
@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":"Pei et al.2012","bibtex_type":"misc"}{"bibtex_key":"Li F et al.2013b","bibtex_type":"misc"}{"bibtex_key":"Institute of Archaeology Chinese Academy of Social Sciences.1991","bibtex_type":"misc"}{"bibtex_key":"Orton J. 2012.Late Holocene archaeology in Namaqualand South Africa: hunter-gatherers and herders in a semi-arid environment(Doctoral dissertation University of Oxford).","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: Pei et al.2012
:bibtex_type: :misc
---
:bibtex_key: Li F et al.2013b
:bibtex_type: :misc
---
:bibtex_key: Institute of Archaeology Chinese Academy of Social Sciences.1991
:bibtex_type: :misc
---
:bibtex_key: 'Orton J. 2012.Late Holocene archaeology in Namaqualand South Africa:
hunter-gatherers and herders in a semi-arid environment(Doctoral dissertation University
of Oxford).'
: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}"