Bayesian modelling (back chamber and entrance).
Model V (cf. Table J for a summary of priors and likelihoods, and Table O for posteriors and statistical parameters). The prior age distributions for the dating determinations (likelihoods) are shown as light coloured probability density functions (PDFs): blue = radiocarbon determinations; green = s...
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ftsmithonian:oai:figshare.com:article/16889998 2023-05-15T16:30:10+02:00 Bayesian modelling (back chamber and entrance). João Zilhão (215800) Diego E. Angelucci (11614267) Lee J. Arnold (11614270) Francesco d’Errico (432642) Laure Dayet (793579) Martina Demuro (648258) Marianne Deschamps (4860325) Helen Fewlass (10644860) Luís Gomes (11614273) Beth Linscott (11614276) Henrique Matias (11614279) Alistair W. G. Pike (9647800) Peter Steier (254409) Sahra Talamo (116803) Eva M. Wild (11614282) 2021-10-27T17:35:43Z https://doi.org/10.1371/journal.pone.0259089.g025 unknown https://figshare.com/articles/figure/Bayesian_modelling_back_chamber_and_entrance_/16889998 doi:10.1371/journal.pone.0259089.g025 CC BY 4.0 CC-BY Sociology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified two major discontinuities two key points similar persistence pattern persist beyond 39 palaeoenvironmental inferences derived magnetic susceptibility analyses last glacial maximum key evidence comes index fossils appear holocene layers abc faunal remains relate empirical difficulties go component mixing caused caldeir &# 227 associated cultural transitions sedimentation rates varied refine using radiocarbon forming sedimentation hiatuses whose traditional subdivision underwent significant disturbance expected stratigraphic order div >< p expected radiocarbon ages underlying pleistocene succession site formation issues sample association issues overlie layer eb greenland interstadial 2 global climate revealed dating anomalies exist 220 – 23 000 years ago upper palaeolithic archaeology portugal )</ p middle palaeolithic levels upper solutrean place radiocarbon ages layer eb upper pleistocene upper palaeolithic sedimentation rate whose chronology succession ’ stratigraphic integrity portugal reveal middle palaeolithic depositional disturbance dating shows anomalies consist early upper used close updated overview stone tools steep increase stands even solutrean technocomplex shelter sites method ’ karst archives incomplete decontamination human usage human settlement funerary use fully understand early neolithic critical intervals controversies surrounding carnivore activity cantabrian region caldeirão features caldeirão brings c </ bayesian modelling archaeological content applicability ) Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0259089.g025 2021-12-19T23:15:50Z Model V (cf. Table J for a summary of priors and likelihoods, and Table O for posteriors and statistical parameters). The prior age distributions for the dating determinations (likelihoods) are shown as light coloured probability density functions (PDFs): blue = radiocarbon determinations; green = single-grain OSL determinations. The modelled posterior distributions for the dating determinations and stratigraphic unit boundaries are shown as dark coloured and grey PDFs, respectively. Unmodelled and modelled ages are shown on a calendar year timescale, and both are expressed in years before AD1950. The white circles and associated error bars represent the mean ages and 1σ uncertainty ranges of the PDFs. The 68.3% and 95.4% ranges of the highest posterior probabilities are indicated by the horizontal bars underneath the PDFs. Still Image Greenland Unknown Greenland |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Sociology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified two major discontinuities two key points similar persistence pattern persist beyond 39 palaeoenvironmental inferences derived magnetic susceptibility analyses last glacial maximum key evidence comes index fossils appear holocene layers abc faunal remains relate empirical difficulties go component mixing caused caldeir &# 227 associated cultural transitions sedimentation rates varied refine using radiocarbon forming sedimentation hiatuses whose traditional subdivision underwent significant disturbance expected stratigraphic order div >< p expected radiocarbon ages underlying pleistocene succession site formation issues sample association issues overlie layer eb greenland interstadial 2 global climate revealed dating anomalies exist 220 – 23 000 years ago upper palaeolithic archaeology portugal )</ p middle palaeolithic levels upper solutrean place radiocarbon ages layer eb upper pleistocene upper palaeolithic sedimentation rate whose chronology succession ’ stratigraphic integrity portugal reveal middle palaeolithic depositional disturbance dating shows anomalies consist early upper used close updated overview stone tools steep increase stands even solutrean technocomplex shelter sites method ’ karst archives incomplete decontamination human usage human settlement funerary use fully understand early neolithic critical intervals controversies surrounding carnivore activity cantabrian region caldeirão features caldeirão brings c </ bayesian modelling archaeological content applicability ) |
spellingShingle |
Sociology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified two major discontinuities two key points similar persistence pattern persist beyond 39 palaeoenvironmental inferences derived magnetic susceptibility analyses last glacial maximum key evidence comes index fossils appear holocene layers abc faunal remains relate empirical difficulties go component mixing caused caldeir &# 227 associated cultural transitions sedimentation rates varied refine using radiocarbon forming sedimentation hiatuses whose traditional subdivision underwent significant disturbance expected stratigraphic order div >< p expected radiocarbon ages underlying pleistocene succession site formation issues sample association issues overlie layer eb greenland interstadial 2 global climate revealed dating anomalies exist 220 – 23 000 years ago upper palaeolithic archaeology portugal )</ p middle palaeolithic levels upper solutrean place radiocarbon ages layer eb upper pleistocene upper palaeolithic sedimentation rate whose chronology succession ’ stratigraphic integrity portugal reveal middle palaeolithic depositional disturbance dating shows anomalies consist early upper used close updated overview stone tools steep increase stands even solutrean technocomplex shelter sites method ’ karst archives incomplete decontamination human usage human settlement funerary use fully understand early neolithic critical intervals controversies surrounding carnivore activity cantabrian region caldeirão features caldeirão brings c </ bayesian modelling archaeological content applicability ) João Zilhão (215800) Diego E. Angelucci (11614267) Lee J. Arnold (11614270) Francesco d’Errico (432642) Laure Dayet (793579) Martina Demuro (648258) Marianne Deschamps (4860325) Helen Fewlass (10644860) Luís Gomes (11614273) Beth Linscott (11614276) Henrique Matias (11614279) Alistair W. G. Pike (9647800) Peter Steier (254409) Sahra Talamo (116803) Eva M. Wild (11614282) Bayesian modelling (back chamber and entrance). |
topic_facet |
Sociology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified two major discontinuities two key points similar persistence pattern persist beyond 39 palaeoenvironmental inferences derived magnetic susceptibility analyses last glacial maximum key evidence comes index fossils appear holocene layers abc faunal remains relate empirical difficulties go component mixing caused caldeir &# 227 associated cultural transitions sedimentation rates varied refine using radiocarbon forming sedimentation hiatuses whose traditional subdivision underwent significant disturbance expected stratigraphic order div >< p expected radiocarbon ages underlying pleistocene succession site formation issues sample association issues overlie layer eb greenland interstadial 2 global climate revealed dating anomalies exist 220 – 23 000 years ago upper palaeolithic archaeology portugal )</ p middle palaeolithic levels upper solutrean place radiocarbon ages layer eb upper pleistocene upper palaeolithic sedimentation rate whose chronology succession ’ stratigraphic integrity portugal reveal middle palaeolithic depositional disturbance dating shows anomalies consist early upper used close updated overview stone tools steep increase stands even solutrean technocomplex shelter sites method ’ karst archives incomplete decontamination human usage human settlement funerary use fully understand early neolithic critical intervals controversies surrounding carnivore activity cantabrian region caldeirão features caldeirão brings c </ bayesian modelling archaeological content applicability ) |
description |
Model V (cf. Table J for a summary of priors and likelihoods, and Table O for posteriors and statistical parameters). The prior age distributions for the dating determinations (likelihoods) are shown as light coloured probability density functions (PDFs): blue = radiocarbon determinations; green = single-grain OSL determinations. The modelled posterior distributions for the dating determinations and stratigraphic unit boundaries are shown as dark coloured and grey PDFs, respectively. Unmodelled and modelled ages are shown on a calendar year timescale, and both are expressed in years before AD1950. The white circles and associated error bars represent the mean ages and 1σ uncertainty ranges of the PDFs. The 68.3% and 95.4% ranges of the highest posterior probabilities are indicated by the horizontal bars underneath the PDFs. |
format |
Still Image |
author |
João Zilhão (215800) Diego E. Angelucci (11614267) Lee J. Arnold (11614270) Francesco d’Errico (432642) Laure Dayet (793579) Martina Demuro (648258) Marianne Deschamps (4860325) Helen Fewlass (10644860) Luís Gomes (11614273) Beth Linscott (11614276) Henrique Matias (11614279) Alistair W. G. Pike (9647800) Peter Steier (254409) Sahra Talamo (116803) Eva M. Wild (11614282) |
author_facet |
João Zilhão (215800) Diego E. Angelucci (11614267) Lee J. Arnold (11614270) Francesco d’Errico (432642) Laure Dayet (793579) Martina Demuro (648258) Marianne Deschamps (4860325) Helen Fewlass (10644860) Luís Gomes (11614273) Beth Linscott (11614276) Henrique Matias (11614279) Alistair W. G. Pike (9647800) Peter Steier (254409) Sahra Talamo (116803) Eva M. Wild (11614282) |
author_sort |
João Zilhão (215800) |
title |
Bayesian modelling (back chamber and entrance). |
title_short |
Bayesian modelling (back chamber and entrance). |
title_full |
Bayesian modelling (back chamber and entrance). |
title_fullStr |
Bayesian modelling (back chamber and entrance). |
title_full_unstemmed |
Bayesian modelling (back chamber and entrance). |
title_sort |
bayesian modelling (back chamber and entrance). |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pone.0259089.g025 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
https://figshare.com/articles/figure/Bayesian_modelling_back_chamber_and_entrance_/16889998 doi:10.1371/journal.pone.0259089.g025 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0259089.g025 |
_version_ |
1766019884778520576 |