Ha Soloja
Archaeological site
in Lesotho
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)
- 029.850° S, 029.050° E
- Coordinates (DMS)
- 029° 51' 00" E, 029° 03' 00" S
- Country (ISO 3166)
- Lesotho (LS)
Linked Data
There is no linked data available for this record.
Radiocarbon dates
(7)
Typological dates
(8)
| Classification | Estimated age | References |
|---|---|---|
| MSA | NA | carter1974dia |
| Final MSA | NA | NA |
| MSA | NA | carter1974dia |
| NA | NA | |
| MSA | NA | carter1974dia |
| Final MSA | NA | NA |
| MSA | NA | carter1974dia |
| NA | NA |
Bibliographic references
- No bibliographic information available. [carter1974dia]
- No bibliographic information available. [Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.]
- No bibliographic information available. [Parsons I. 2000. Later Stone Age open-air sites on Bloubos Northern Cape.Southern African Field Archaeology9 pp.55-67.]
- No bibliographic information available. [Biemond W.M. 2014.The Iron Age sequence around a Limpopo River floodplain on Basinghall farm Tuli Block Botswana during the second millennium AD(Masters dissertation UNISA).]
- 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{carter1974dia,
}
@misc{Vogel J.C. 2000. Radiocarbon dating of the Iron Age sequence in the Limpopo Valley.Goodwin Series pp.51-57.,
}
@misc{Parsons I. 2000. Later Stone Age open-air sites on Bloubos Northern Cape.Southern African Field Archaeology9 pp.55-67.,
}
@misc{Biemond W.M. 2014.The Iron Age sequence around a Limpopo River floodplain on Basinghall farm Tuli Block Botswana during the second millennium AD(Masters dissertation UNISA).,
}
@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":"carter1974dia","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":"Parsons I. 2000. Later Stone Age open-air sites on Bloubos Northern Cape.Southern African Field Archaeology9 pp.55-67.","bibtex_type":"misc"}{"bibtex_key":"Biemond W.M. 2014.The Iron Age sequence around a Limpopo River floodplain on Basinghall farm Tuli Block Botswana during the second millennium AD(Masters dissertation UNISA).","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: carter1974dia
: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: Parsons I. 2000. Later Stone Age open-air sites on Bloubos Northern Cape.Southern
African Field Archaeology9 pp.55-67.
:bibtex_type: :misc
---
:bibtex_key: Biemond W.M. 2014.The Iron Age sequence around a Limpopo River floodplain
on Basinghall farm Tuli Block Botswana during the second millennium AD(Masters dissertation
UNISA).
: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}"