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Many institutions and reasearchers have supported our research and/or contributed with their samples, among them: Museo Arqueológico Regional de Madrid, Museo de Guadalajara, Museo de Albacete, Raquel Aliaga, Rodrigo de Balbín, Enrique Baquedano, Jess Beck, Primitiva Bueno, Susana Consuegra, Miguel Contreras, Rafael Garrido, Raúl Flores, Mauro Hernández and Rubi Sanz. This material is based upon work supported by the Ministerio de Ciencia, Innovación y Universidades, Spain, under Grant No. PGC2018-095506-B-I00. The reviewers positive and careful comments have substantially improved and clarified the manuscript., All data used is attached and available on line at www.idearq.org, We examine the quantity, contextual quality and spatial distribution of the data gathered in the strontium isotope archaeological database for the Iberian Peninsula and the Balearic Islands, an open source available as part of IDEArq (www.idearq.org), the spatial data infrastructure hosted at the Instituto de Historia (CSIC). It has to date 1635 87Sr/86Sr values from human and animal samples, and environmental proxies recovered during archaeological research. The data has allowed us to produce the first regional and peninsular strontium isoscapes for Iberia. We discuss the benefits and limitations of approaching mobility in Iberia through 87Sr/86Sr isotope analysis and suggest directions for future collaborative research., Ministerio de Ciencia, Innovación y Universidades, Spain, under Grant No. PGC2018-095506-B-I00

The estimation of the sex of the individual is a parameter of great value in forensic contexts and, above all, in archaeological contexts, where it is more difficult to apply genetic studies. In contrast with methods based on non-metric variables, we propose the use of a random generalized linear model for the determination of sex, starting from the Howells craniometric database and testing them on the dataset of known sex of the Forensic Data Bank, with 2524 and 1314 individuals respectively. After eliminating the individual’s considered outliers or with missing data, we proceeded to analyse which variables were more dimorphic between sexes (bizigomatic width, ZYB; bijugal width, JUB; mastoid height, MDH; glabela-occipital length, GOL; bifrontal width, FMB); these were used to build the statistical model. Subsequently, a comparison was made between the functions proposed by other authors and our model to determine their capacity in absolute terms, as well as by sex. The result is a random generalized linear model made up of 300 bags that, based on the five measures mentioned, reached 86.26% precision classifying the sex of individuals from the Forensic Data Bank (89.7% in the male sample and 82.82% in the female one). Although the method presented here should be taken with caution and not as the only way to estimate sex, it has proven to be statistically accurate in addition to having a non-regional vocation.