Access to data is at the core of research, but the proliferation of publication outlets, data bases and ‘grey’ literature makes it often difficult to keep up-to-date. Here, we offer a number of open access online resources in archaeological sciences currently being developed at STARC, focussing on the Eastern Mediterranean and Middle East.       

             

  SrIsoMed: Open access database of strontium isotopic SrIsoMed Logo    values (⁸⁷Sr/⁸⁶Sr) across the Mediterranean 

 SrIsoMed is a database of published strontium isotopic values (⁸⁷Sr/⁸⁶Sr) across the Mediterranean. It follows the example of several recent initiatives towards creating open access databases for the isotopes of different chemical elements in different parts of the world, and aims to promote palaeomobility and raw material provenance studies. The SrIsoMed database currently contains over 11,400 ⁸⁷Sr/⁸⁶Sr values of organic and inorganic samples and will be continuously updated. Users can search the database using the interactive map and/or the data filtering option, as explained in the User Guide. We would be grateful if you could contact us in order to bring to our attention corrections as well as to contribute additional data. Development of the SrIsoMed database was supported by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation [grant number: EXCELLENCE/1216/0023], as well as the European Union Horizon 2020 [grant number: 811068]. Additional support from the A.G. Leventis Foundation through the A.G. Leventis Chair in Archaeological Sciences at The Cyprus Institute is gratefully acknowledged. This work has also been supported by the Dan David Prize. 

 

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Bibliographic database for human bioarchaeology in the Eastern Mediterranean and Middle East (EMME)  

Bi(bli)oArch is a bibliographic database for human bioarchaeological studies in the Eastern Mediterranean and Middle East (EMME), chronologically covering skeletal assemblages from prehistory to early modern times. The database specifically contains published works on human skeletal remains; however, it does not include papers on mortuary/funerary archaeology where there is no explicit presentation of human skeletal data. This database emerged from an increasing realization that many studies on human skeletal remains in the region have been published in national archaeology journals, excavation monographs, ‘grey’ reports, or as graduate theses, making them difficult to find, especially by international scholars. A further complicating factor is that many relevant studies have been published in the national languages of the region, hence they do not appear during any basic online search in English. Bi(bli)oArch aims at overcoming these limitations and promoting bioarchaeological research in the EMME by making human bioarchaeology papers and reports more easily discoverable.

 

  Bibliographic database for human bioarchaeological studies in Italy

Bi(bli)oArch-Italia is a bibliographic database for human bioarchaeological studies in Italy, chronologically covering skeletal assemblages from prehistory to early modern times. This database was inspired by a similar initiative for the Eastern Mediterranean and Middle East (https://www.biblioarch.com/) and emerged from an increasing realization that many studies on human skeletal remains have been published in national archaeology journals, excavation monographs, ‘grey’ reports, or as graduate theses, making them difficult to find. Bi(bli)oArch-Italia aims at overcoming these limitations and promoting bioarchaeological research by making human bioarchaeology papers and reports more easily discoverable. The database allows search by region, theme and chronology. It currently contains 1,216 titles and will be continuously updated. We would be deeply grateful if you could contact us in order to bring to our attention corrections and omissions. Development of the Bi(bli)oArch-Italia database was supported by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation [grant number: EXCELLENCE/1216/0023], as well as the European Union Horizon 2020 [grant number: 811068]. Additional support from the A.G. Leventis Foundation through the A.G. Leventis Chair in Archaeological Sciences at The Cyprus Institute is gratefully acknowledged. This work has also been supported by the Dan David Prize.

 

SexEst: A sex estimation web-application 

SexEst is a free, interactive, web application designed to estimate sex using cranial or postcranial linear measurements. Users can either enter manually the measurements for single skeletons or upload data for multiple skeletons stored in a CSV file. Sex estimation is based on three different machine learning classification algorithms: Linear Discriminant Analysis (LDA), Extreme Gradient Boosting (XGB) and Light Gradient Boosting (LGB). The training datasets used in these machine learning classifiers are the William W. Howells craniometric dataset (Howells 1973, 1989, 1995) for cranial measurements and the Goldman dataset (Auerbach and Ruff 2004, 2006) for postcranial measurements. Both datasets include thousands of individuals from various geographic locations dating throughout the Holocene, hence they represent several broad geographic ancestral backgrounds and account for inter-population variability in sexual dimorphism. SexEst can generate a prediction even when a single variable is given; hence, it is applicable even on highly fragmented remains or remains where not all measurements can be accurately obtained due to pathological or other alterations.

SexEst was supported by the NI4OS-Europe project, funded by the European Commission under the Horizon 2020 European Research Infrastructures grant agreement no. 857645. EN's contribution was co-funded by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation [Project: EXCELLENCE/1216/0023]. This project has also received funding from the European Union's Horizon 2020 Research and Innovation Program under the grant agreement no. 811068.