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2 Research products, page 1 of 1

  • Digital Humanities and Cultural Heritage
  • Research data
  • Open Access
  • Dataset
  • IT
  • ZENODO

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  • Open Access
    Authors: 
    Andreotti; Calzolari; Davoli; Dias Pereira;
    Publisher: Zenodo
    Project: EC | HeLLo (796712), EC | 20-20 3D MEDIA (215475), EC | HeLLo (796712), EC | 20-20 3D MEDIA (215475)

    This record contains raw data of a 3-month monitoring period of the HeLLo project. The datafiles titled MeasLog_YYYY-MM-DD.dat correspond to the raw data used for the data analysis presented in “Hygrothermal analysis at critical points of an internally insulated historic wall without vapour barrier: in situ measurements and dynamic simulation”, submitted for publication in journal energies. Each file, format MeasLog_YYYY-MM-DD.dat, corresponds to daily registered data monitored every minute. Each file, format MeasLog_YYYY-MM-DD.dat, contains temperature (T) and relative humidity (RH) values, monitored through T-RH sensors (Telaire T9602; Amphenol). The general architecture of the acquisition system is based on a Master Slave configuratio, as described in “Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls” (doi:10.3390/electronics8060643). Each file, format MeasLog_YYYY-MM-DD.dat is a text-based DAT file and can be opened with a standard text editor.

  • Open Access
    Authors: 
    Lugli, Federico;
    Publisher: Zenodo
    Project: EC | SUCCESS (724046), EC | SUCCESS (724046)

    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.