Erl-12474

radiocarbon date Radiocarbon date from Lossow
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

Measurement

Age (uncal BP)
1237
Error (±)
40
Lab
NA
Method
NA
Sample material
charcoal
Sample taxon
NA

Calibration

Calibration curve
IntCal20 (Reimer et al. 2020)
Calibrated age (2σ, BP)
1275 - 1197
1194 - 1065

Context

Site
Lossow
Context
Sample position
NA
Sample coordinates
NA

Bibliographic reference Bibliographic references (111) 

@misc{Beilke-Voigt 377 Taf. 121,
  
}
@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}
}
@misc{Beilke-Voigt, 379 Taf. 123,
  
}
@misc{Beilke-Voigt, 381 Taf. 125,
  
}
@misc{Beilke-Voigt, 421 Taf. 165,
  
}
@misc{Beilke-Voigt, 371 Taf. 115; Zich 2013, 481,
  
}
@misc{Beilke-Voigt, 372 Taf. 116,
  
}
@misc{Beilke-Voigt, 375 Taf. 119,
  
}
@misc{Beilke-Voigt, 377 Taf. 121,
  
}
@misc{Beilke-Voigt, 382 Taf. 126,
  
}
@misc{Beilke-Voigt, 383 Taf. 127,
  
}
@misc{Beilke-Voigt, 384 Taf. 128,
  
}
@misc{Beilke-Voigt, 388 Taf. 132,
  
}
@misc{Beilke-Voigt, 392 Taf. 136,
  
}
@misc{Beilke-Voigt, 394 Taf. 138,
  
}
@misc{Beilke-Voigt, 395 Taf. 139,
  
}
@misc{Beilke-Voigt, 396 Taf. 140,
  
}
@misc{Beilke-Voigt, 397 Taf. 141,
  
}
@misc{Beilke-Voigt, 398 Taf. 142,
  
}
@misc{Beilke-Voigt, 400 Taf. 144,
  
}
@misc{Beilke-Voigt, 401 Taf. 145,
  
}
@misc{Beilke-Voigt, 402 Taf. 146,
  
}
@misc{Beilke-Voigt, 405 Taf. 149,
  
}
@misc{Beilke-Voigt, 407 Taf. 151,
  
}
@misc{Beilke-Voigt, 408 Taf. 152,
  
}
@misc{Beilke-Voigt, 410 Taf. 154,
  
}
@misc{Beilke-Voigt, 413 Taf. 157,
  
}
@misc{Beilke-Voigt, 415 Taf. 159,
  
}
@misc{Beilke-Voigt, 416 Taf. 160,
  
}
@misc{Beilke-Voigt, 417 Taf. 161,
  
}
@misc{Beilke-Voigt, 418 Taf. 162,
  
}
@misc{Beilke-Voigt, 419 Taf. 163,
  
}
@misc{Beilke-Voigt, 420 Taf. 164,
  
}
@misc{Beilke-Voigt, 423 Taf. 167,
  
}
@misc{Beilke-Voigt, 425 Taf. 169,
  
}
@misc{Beilke-Voigt, 406 Taf. 150,
  
}
@misc{Beilke-Voigt, 373 Taf. 117,
  
}
@misc{Beilke-Voigt, 374 Taf. 118,
  
}
@misc{Beilke-Voigt, 376 Taf. 120,
  
}
@misc{Beilke-Voigt, 378 Taf. 122,
  
}
@misc{Beilke-Voigt, 380 Taf. 124,
  
}
@misc{Beilke-Voigt, 385 Taf. 129,
  
}
@misc{Beilke-Voigt, 386 Taf. 130,
  
}
@misc{Beilke-Voigt, 387 Taf. 131,
  
}
@misc{Beilke-Voigt, 389 Taf. 133,
  
}
@misc{Beilke-Voigt, 390 Taf. 134,
  
}
@misc{Beilke-Voigt, 391 Taf. 135,
  
}
@misc{Beilke-Voigt, 393 Taf. 137,
  
}
@misc{Beilke-Voigt, 399 Taf. 143,
  
}
@misc{Beilke-Voigt, 403 Taf. 147,
  
}
@misc{Beilke-Voigt, 404 Taf. 148,
  
}
@misc{Beilke-Voigt, 409 Taf. 153,
  
}
@misc{Beilke-Voigt, 411 Taf. 155,
  
}
@misc{Beilke-Voigt, 412 Taf. 156,
  
}
@misc{Beilke-Voigt, 414 Taf. 158,
  
}
@misc{Beilke-Voigt, 422 Taf. 166,
  
}
@misc{Beilke-Voigt, 424 Taf. 168,
  
}
@misc{Beilke-Voigt 421 Taf. 165,
  
}
@misc{Beilke-Voigt 422 Taf. 166,
  
}
@misc{Beilke-Voigt 423 Taf. 167,
  
}
@misc{Beilke-Voigt 424 Taf. 168,
  
}
@misc{Beilke-Voigt 371 Taf. 115; Zich 2013 481,
  
}
@misc{Beilke-Voigt 372 Taf. 116,
  
}
@misc{Beilke-Voigt 373 Taf. 117,
  
}
@misc{Beilke-Voigt 376 Taf. 120,
  
}
@misc{Beilke-Voigt 374 Taf. 118,
  
}
@misc{Beilke-Voigt 375 Taf. 119,
  
}
@misc{Beilke-Voigt 378 Taf. 122,
  
}
@misc{Beilke-Voigt 379 Taf. 123,
  
}
@misc{Beilke-Voigt 380 Taf. 124,
  
}
@misc{Beilke-Voigt 393 Taf. 137,
  
}
@misc{Beilke-Voigt 410 Taf. 154,
  
}
@misc{Beilke-Voigt 411 Taf. 155,
  
}
@misc{Beilke-Voigt 413 Taf. 157,
  
}
@misc{Beilke-Voigt 414 Taf. 158,
  
}
@misc{Beilke-Voigt 383 Taf. 127,
  
}
@misc{Beilke-Voigt 388 Taf. 132,
  
}
@misc{Beilke-Voigt 384 Taf. 128,
  
}
@misc{Beilke-Voigt 385 Taf. 129,
  
}
@misc{Beilke-Voigt 399 Taf. 143,
  
}
@misc{Beilke-Voigt 400 Taf. 144,
  
}
@misc{Beilke-Voigt 389 Taf. 133,
  
}
@misc{Beilke-Voigt 381 Taf. 125,
  
}
@misc{Beilke-Voigt 387 Taf. 131,
  
}
@misc{Beilke-Voigt 390 Taf. 134,
  
}
@misc{Beilke-Voigt 392 Taf. 136,
  
}
@misc{Beilke-Voigt 391 Taf. 135,
  
}
@misc{Beilke-Voigt 398 Taf. 142,
  
}
@misc{Beilke-Voigt 396 Taf. 140,
  
}
@misc{Beilke-Voigt 397 Taf. 141,
  
}
@misc{Beilke-Voigt 406 Taf. 150,
  
}
@misc{Beilke-Voigt 405 Taf. 149,
  
}
@misc{Beilke-Voigt 419 Taf. 163,
  
}
@misc{Beilke-Voigt 420 Taf. 164,
  
}
@misc{Beilke-Voigt 403 Taf. 147,
  
}
@misc{Beilke-Voigt 394 Taf. 138,
  
}
@misc{Beilke-Voigt 382 Taf. 126,
  
}
@misc{Beilke-Voigt 386 Taf. 130,
  
}
@misc{Beilke-Voigt 395 Taf. 139,
  
}
@misc{Beilke-Voigt 409 Taf. 153,
  
}
@misc{Beilke-Voigt 418 Taf. 162,
  
}
@misc{Beilke-Voigt 404 Taf. 148,
  
}
@misc{Beilke-Voigt 417 Taf. 161,
  
}
@misc{Beilke-Voigt 401 Taf. 145,
  
}
@misc{Beilke-Voigt 415 Taf. 159,
  
}
@misc{Beilke-Voigt 416 Taf. 160,
  
}
@misc{Beilke-Voigt 407 Taf. 151,
  
}
@misc{Beilke-Voigt 402 Taf. 146,
  
}
@misc{Beilke-Voigt 425 Taf. 169,
  
}
@misc{Beilke-Voigt 408 Taf. 152,
  
}
@misc{Beilke-Voigt 412 Taf. 156,
  
}

{"bibtex_key":"Beilke-Voigt 377 Taf. 121","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. 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Zich 2013 481","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 372 Taf. 116","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 373 Taf. 117","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 376 Taf. 120","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 374 Taf. 118","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 375 Taf. 119","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 378 Taf. 122","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 379 Taf. 123","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 380 Taf. 124","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 393 Taf. 137","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 410 Taf. 154","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 411 Taf. 155","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 413 Taf. 157","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 414 Taf. 158","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 383 Taf. 127","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 388 Taf. 132","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 384 Taf. 128","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 385 Taf. 129","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 399 Taf. 143","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 400 Taf. 144","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 389 Taf. 133","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 381 Taf. 125","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 387 Taf. 131","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 390 Taf. 134","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 392 Taf. 136","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 391 Taf. 135","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 398 Taf. 142","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 396 Taf. 140","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 397 Taf. 141","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 406 Taf. 150","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 405 Taf. 149","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 419 Taf. 163","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 420 Taf. 164","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 403 Taf. 147","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 394 Taf. 138","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 382 Taf. 126","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 386 Taf. 130","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 395 Taf. 139","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 409 Taf. 153","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 418 Taf. 162","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 404 Taf. 148","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 417 Taf. 161","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 401 Taf. 145","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 415 Taf. 159","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 416 Taf. 160","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 407 Taf. 151","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 402 Taf. 146","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 425 Taf. 169","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 408 Taf. 152","bibtex_type":"misc"}{"bibtex_key":"Beilke-Voigt 412 Taf. 156","bibtex_type":"misc"}
---
:bibtex_key: Beilke-Voigt 377 Taf. 121
: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: Beilke-Voigt, 379 Taf. 123
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 381 Taf. 125
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 421 Taf. 165
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 371 Taf. 115; Zich 2013, 481
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 372 Taf. 116
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 375 Taf. 119
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 377 Taf. 121
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 382 Taf. 126
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 383 Taf. 127
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 384 Taf. 128
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 388 Taf. 132
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 392 Taf. 136
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 394 Taf. 138
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 395 Taf. 139
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 396 Taf. 140
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 397 Taf. 141
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 398 Taf. 142
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 400 Taf. 144
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 401 Taf. 145
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 402 Taf. 146
:bibtex_type: :misc
---
:bibtex_key: Beilke-Voigt, 405 Taf. 149
:bibtex_type: :misc
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:bibtex_key: Beilke-Voigt, 407 Taf. 151
:bibtex_type: :misc
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:bibtex_key: Beilke-Voigt, 408 Taf. 152
:bibtex_type: :misc
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:bibtex_key: Beilke-Voigt, 410 Taf. 154
:bibtex_type: :misc
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:bibtex_key: Beilke-Voigt, 413 Taf. 157
:bibtex_type: :misc
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:bibtex_key: Beilke-Voigt, 415 Taf. 159
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