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Chronostratigraphic Sequence of Santuario Della Madonna Cave (Calabria, Southern Italy): AMS Radiocarbon Data from a New Excavation Area

Published online by Cambridge University Press:  18 July 2016

L Calcagnile*
Affiliation:
CEDAD (Centre for Dating and Diagnostics), Department of Engineering of Innovation, University of Salento, Lecce, Italy
V Tinè
Affiliation:
Soprintendenza Speciale al Museo Nazionale Preistorico Etnografico “L. Pigorini,” Roma, Italy
G Quarta
Affiliation:
CEDAD (Centre for Dating and Diagnostics), Department of Engineering of Innovation, University of Salento, Lecce, Italy
M D'Elia
Affiliation:
CEDAD (Centre for Dating and Diagnostics), Department of Engineering of Innovation, University of Salento, Lecce, Italy
G Fiorentino
Affiliation:
Laboratory of Archaeobotany and Palaeoecology, Department of Cultural Heritage, University of Salento, Lecce, Italy
F Scarciglia
Affiliation:
Dipartimento di Scienze della Terra, Università della Calabria, Arcavacata di Rende (Cs), Italy
G Robustelli
Affiliation:
Dipartimento di Scienze della Terra, Università della Calabria, Arcavacata di Rende (Cs), Italy
M Abate
Affiliation:
Dipartimento di Scienze della Terra, Università della Calabria, Arcavacata di Rende (Cs), Italy
M F La Russa
Affiliation:
Dipartimento di Scienza Geologiche, Università di Catania, Italy
A Pezzino
Affiliation:
Dipartimento di Scienza Geologiche, Università di Catania, Italy
*
Corresponding author. Email: lucio.calcagnile@unisalento.it
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Abstract

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The Santuario della Madonna Cave, located near Praia a Mare (Cosenza), along the northwestern coast of Calabria (southern Italy), has an impressive stratigraphy, with occupation phases spanning from the late Paleolithic to the advanced phases of the Middle Bronze Age. Recently, a new excavation area has been opened in the cave from which shortlived vegetal remains were sampled and submitted for accelerator mass spectrometry (AMS) radiocarbon dating. The aim of this study was to define an accurate chronology of the different cultural aspects and to explore the potentialities resulting from application of advanced statistical tools for 14C data analysis in such a context.

Type
Archaeology
Copyright
Copyright © 2010 by the Arizona Board of Regents on behalf of the University of Arizona 

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