Biometric variables predict stone tool functional performance more effectively than tool-form attributes : a case study in handaxe loading capabilities.
1. Verfasser: |
Key, A. J. M.
|
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Weitere Verfasser: |
Lycett, S. J.
|
Ort/Verlag/Jahr: |
Oxford :
Oxford University, Research Laboratory for Archaeology and the History of Art,
2019.
|
Umfang/Format: |
Fasc. 3, p. 539-555 : ill., charts. |
Enthalten in: | Archaeometry, 61 (2019) |
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100 | 1 | |a Key, A. J. M. | |
245 | 1 | 0 | |a Biometric variables predict stone tool functional performance more effectively than tool-form attributes : |b a case study in handaxe loading capabilities. |
260 | |a Oxford : |b Oxford University, Research Laboratory for Archaeology and the History of Art, |c 2019. | ||
300 | |a Fasc. 3, p. 539-555 : |b ill., charts. | ||
590 | |a argk | ||
700 | 1 | |a Lycett, S. J. | |
773 | 0 | |w 001569970 |t Archaeometry, 61 (2019) | |
942 | |c AN | ||
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999 | |c 1339326 |d 1339326 | ||
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953 | |b DAIA |z Automatically added holding branch key. | ||
953 | |b DAIF |z Automatically added holding branch key. |