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      First experimental evaluation of the alpha efficiency in coarse-grained quartz for ESR dating purposes: implications for dose rate evaluation

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          Abstract

          We present the first experimental evaluation of the alpha efficiency value for electron spin resonance (ESR) dating of coarse quartz grains, which is used for the evaluation of the internal and external alpha dose rate components. Based on our results, we recommend the use of an a-value of 0.07 ± 0.01 (1σ) for both the Al and Ti centres. Although we acknowledge that quartz ESR alpha efficiency may be sample dependent, and could also be impacted by other sources of uncertainty, this potential variability is presently impossible to evaluate given the absence of other experimental a-values available in the ESR dating literature. Measured radioactivity of quartz grains from the Moulouya catchment (NE Morocco) provides an internal dose rate in the range of 50–70 µGy/a when using an a-value of 0.07. The use of this empirically derived a-value for the evaluation of the internal and external alpha dose rate has a limited overall impact on the final ESR age results: they change by <2% and <3%, respectively, in comparison with those obtained with an assumed a-value. However, the large variability observed among the broader sample dataset for quartz internal radioactivity and hydrofluoric acid (HF) etching rates underscores the potential importance of undertaking experimental evaluations of alpha dose rate parameters for each dated sample.

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          Luminescence dating of quartz using an improved single-aliquot regenerative-dose protocol

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            Distinguishing quartz and feldspar in single grain luminescence measurements

             G.A.T. Duller (2003)
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              Australia's oldest human remains: age of the Lake Mungo 3 skeleton.

              We have carried out a comprehensive ESR and U-series dating study on the Lake Mungo 3 (LM3) human skeleton. The isotopic Th/U and Pa/U ratios indicate that some minor uranium mobilization may have occurred in the past. Taking such effects into account, the best age estimate for the human skeleton is obtained through the combination of U-series and ESR analyses yielding 62,000+/-6000 years. This age is in close agreement with OSL age estimates on the sediment into which the skeleton was buried of 61,000+/-2000 years. Furthermore, we obtained a U-series age of 81,000+/-21,000 years for the calcitic matrix that was precipitated on the bones after burial. All age results are considerably older than the previously assumed age of LM3 and demonstrate the necessity for directly dating hominid remains. We conclude that the Lake Mungo 3 burial documents the earliest known human presence on the Australian continent. The age implies that people who were skeletally within the range of the present Australian indigenous population colonized the continent during or before oxygen isotope stage 4 (57,000-71,000 years). Copyright 1999 Academic Press.
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                Author and article information

                Contributors
                m.bartz@uni-koeln.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 December 2019
                24 December 2019
                2019
                : 9
                Affiliations
                [1 ]ISNI 0000 0000 8580 3777, GRID grid.6190.e, Institute of Geography, , University of Cologne, Albertus-Magnus-Platz, ; 50923 Cologne, Germany
                [2 ]ISNI 0000 0004 1936 7304, GRID grid.1010.0, School of Physical Sciences, Environment Institute, and Institute for Photonics and Advanced Sensing (IPAS), , University of Adelaide, North Terrace Campus, ; Adelaide, SA 5005 Australia
                [3 ]ISNI 0000 0004 0385 5290, GRID grid.431245.5, Defence Science and Technology Group, Third Avenue, ; Edinburgh, SA 5111 Australia
                [4 ]ISNI 0000 0004 1755 3816, GRID grid.423634.4, Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), ; Paseo Sierra de Atapuerca, 3, 09002 Burgos, Spain
                [5 ]ISNI 0000 0001 2157 9291, GRID grid.11843.3f, ENGEES/Laboratoire Image Ville Environnement (LIVE), , UMR 7362 - CNRS (University of Strasbourg), Quai Koch 1, ; 67000 Strasbourg, France
                [6 ]ISNI 0000 0004 0437 5432, GRID grid.1022.1, Australian Research Centre for Human Evolution (ARCHE), Environmental Futures Research Institute (EFRI), , Griffith University, ; 170 Kessels Road, Nathan, QLD 4111 Australia
                Article
                54688
                10.1038/s41598-019-54688-9
                6930274
                31874956
                411c05d4-e058-4980-9104-a9ec04ecc2e4
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: SFB 806/2
                Award Recipient :
                Funded by: ARC Discovery Early Career Researcher Award DE160100743
                Funded by: ARC Future Fellowship Grant FT150100215
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                © The Author(s) 2019

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                environmental sciences, scientific data

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