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Research data keyboard_double_arrow_right Dataset 2020Publisher:Zenodo Funded by:EC | SUCCESSEC| SUCCESSAuthors: Lugli, Federico;Lugli, Federico;This dataset includes .raw LC-MS/MS files, from a proteomic study of deciduous and permanent tooth enamel samples. It includes data of 30 different non-adult individuals (Early Middle Ages, Valdaro, Italy), whose sex has been estimated through amelogenin peptides. This dataset is linked to a submitted publication (Lugli et al., Journal of Archaeological Science: Reports). Please, refer to Lugli et al. (2019, Scientific Reports; doi: 10.1038/s41598-019-49562-7) for methodology. This project was funded by the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement No 724046 – SUCCESS awarded to Stefano Benazzi). Dr. Filippo Genovese of the Centro Interdipartimentale Grandi Strumenti (UNIMORE) is thanked for the technical assistance during LC-MS/MS analyses.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 60visibility views 60 download downloads 10 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2020Publisher:Zenodo Funded by:EC | SUCCESSEC| SUCCESSAuthors: Lugli, Federico;Lugli, Federico;This dataset includes .raw LC-MS/MS files, from a proteomic study of deciduous and permanent tooth enamel samples. It includes data of 30 different non-adult individuals (Early Middle Ages, Valdaro, Italy), whose sex has been estimated through amelogenin peptides. This dataset is linked to a submitted publication (Lugli et al., Journal of Archaeological Science: Reports). Please, refer to Lugli et al. (2019, Scientific Reports; doi: 10.1038/s41598-019-49562-7) for methodology. This project was funded by the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement No 724046 – SUCCESS awarded to Stefano Benazzi). Dr. Filippo Genovese of the Centro Interdipartimentale Grandi Strumenti (UNIMORE) is thanked for the technical assistance during LC-MS/MS analyses.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3774089&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 60visibility views 60 download downloads 10 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.3774089&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu