Goergap 113 KR
Archaeological site
in South Africa
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
Classification | Estimated age | References |
---|---|---|
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
LSA | NA | vanderryst1998wpn |
Final LSA | NA | NA |
Bibliographic references
- No bibliographic information available. [vanderryst1998wpn]
- No bibliographic information available. [Mitchell P.J. 1993. Archaeological Investigations at two Lesotho Rock-shelters: Terminal Pleistocene/Early Holocene Assemblages from Ha Makotoko and Ntloana Tsoana. InProceedings of the Prehistoric Society(Vol. 59 pp. 39-60). Cambridge University Press.]
- No bibliographic information available. [Van der Ryst M.M. 1998.The Waterberg Plateau in the Northern Province Republic of South Africa in the Later Stone Age(Vol. 715). British Archaeological Reports International Series.]
- No bibliographic information available. [Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western Cape South Africa and the archaeological identity of prehistoric hunter-gatherers within the last 2000 years.The South African Archaeological Bulletin pp.71-91.]
- No bibliographic information available. [Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.]
- https://github.com/emmaloftus/Southern-African-Radiocarbon-Database [SARD]
- 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{vanderryst1998wpn,
}
@misc{Mitchell P.J. 1993. Archaeological Investigations at two Lesotho Rock-shelters: Terminal Pleistocene/Early Holocene Assemblages from Ha Makotoko and Ntloana Tsoana. InProceedings of the Prehistoric Society(Vol. 59 pp. 39-60). Cambridge University Press.,
}
@misc{Van der Ryst M.M. 1998.The Waterberg Plateau in the Northern Province Republic of South Africa in the Later Stone Age(Vol. 715). British Archaeological Reports International Series.,
}
@misc{Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western Cape South Africa and the archaeological identity of prehistoric hunter-gatherers within the last 2000 years.The South African Archaeological Bulletin pp.71-91.,
}
@misc{Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.,
}
@misc{SARD,
url = {https://github.com/emmaloftus/Southern-African-Radiocarbon-Database},
note = { Loftus, E., Mitchell, P., & Ramsey, C. (2019). An archaeological radiocarbon database for southern Africa. Antiquity, 93(370), 870-885. doi:10.15184/aqy.2019.75}
}
@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":"vanderryst1998wpn","bibtex_type":"misc"}{"bibtex_key":"Mitchell P.J. 1993. Archaeological Investigations at two Lesotho Rock-shelters: Terminal Pleistocene/Early Holocene Assemblages from Ha Makotoko and Ntloana Tsoana. InProceedings of the Prehistoric Society(Vol. 59 pp. 39-60). Cambridge University Press.","bibtex_type":"misc"}{"bibtex_key":"Van der Ryst M.M. 1998.The Waterberg Plateau in the Northern Province Republic of South Africa in the Later Stone Age(Vol. 715). British Archaeological Reports International Series.","bibtex_type":"misc"}{"bibtex_key":"Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western Cape South Africa and the archaeological identity of prehistoric hunter-gatherers within the last 2000 years.The South African Archaeological Bulletin pp.71-91.","bibtex_type":"misc"}{"bibtex_key":"Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.","bibtex_type":"misc"}[{"bibtex_key":"SARD","bibtex_type":"misc","url":"{https://github.com/emmaloftus/Southern-African-Radiocarbon-Database}","note":"{ Loftus, E., Mitchell, P., & Ramsey, C. (2019). An archaeological radiocarbon database for southern Africa. Antiquity, 93(370), 870-885. doi:10.15184/aqy.2019.75}"}][{"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: vanderryst1998wpn
:bibtex_type: :misc
---
:bibtex_key: 'Mitchell P.J. 1993. Archaeological Investigations at two Lesotho Rock-shelters:
Terminal Pleistocene/Early Holocene Assemblages from Ha Makotoko and Ntloana Tsoana.
InProceedings of the Prehistoric Society(Vol. 59 pp. 39-60). Cambridge University
Press.'
:bibtex_type: :misc
---
:bibtex_key: Van der Ryst M.M. 1998.The Waterberg Plateau in the Northern Province
Republic of South Africa in the Later Stone Age(Vol. 715). British Archaeological
Reports International Series.
:bibtex_type: :misc
---
:bibtex_key: Smith A.B. Sadr K. Gribble J. and Yates R. 1991. Excavations in the south-western
Cape South Africa and the archaeological identity of prehistoric hunter-gatherers
within the last 2000 years.The South African Archaeological Bulletin pp.71-91.
:bibtex_type: :misc
---
:bibtex_key: Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo
Valley.Goodwin Series pp.51-57.
:bibtex_type: :misc
---
- :bibtex_key: SARD
:bibtex_type: :misc
:url: "{https://github.com/emmaloftus/Southern-African-Radiocarbon-Database}"
:note: "{ Loftus, E., Mitchell, P., & Ramsey, C. (2019). An archaeological radiocarbon
database for southern Africa. Antiquity, 93(370), 870-885. doi:10.15184/aqy.2019.75}"
---
- :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}"