Università Cattolica del Sacro Cuore Showcase

Datasets related to Area 10 - Antiquities, Philology, Literary Studies, Art History

Datasets related to Area 07 - Agricultural and Veterinary Sciences

Datasets related to Area 06 - Medicine

Supplementary table 1. This is an excel file containing the following sheets: a) dataset resulting from the untargeted metabolomic analysis based on UHPLC-HRMS; b) PCA and sPLS-DA score plots resulting from metabolomic datasets at T1, T7, and T14; c) dataset resulting from the untargeted lipidomics analysis based on UHPLC-HRMS; d) PCA and sPLS-DA score plots resulting from lipidomic datasets at T1, T7, and T14; e) correlation network showing those metabolites and lipid classes establishing the highest number of significant correlations.

Datasets for studies 1, 2, 3, 4, 5, 6 and related key

This dataset consists of a syntactic and pragmatic analysis of Euripides' Bacchae text, as edited by Giulio Guidorizzi (G. Guidorizzi, "Baccanti. Appendice metrica a cura di Liana Lomiento", Fondazione Lorenzo Valla, Milano, 2020). It isn't a complete analysis of the tragedy: it focuses on the speeches of Pentheus and Dionysus, the main characters, and includes every verse pronounced by them. Readers will find attached more files: the biggest one, "Complete analysis", includes all data and is divided into 5 columns indicating: verses containing the clause, speaking character, clause taken into account, syntactic analysis and pragmatic analysis. The other files, gathered in the folder, display amounts and percentages of occurrences in every section of the tragedy that includes verses pronounced by Pentheus or Dionysus. Further information about method and models used will be attached soon.

The CinEx archive collects information and materials, produces statistical estimates and visualisations aimed at reading the phenomenon of Italian cinema venues in relation to the media system, the territories, the productive fabric, and the social, cultural, and political context in which they are embedded. CinEx promotes an open and in-progress research model, with an expandable data collection system and an archiving logic in dialogue with other datasets. CinEx is organised into sections that reflect the complexity of cinema exhibition. The Venues section collects and presents data on cinemas from a geographical perspective (location of the venue, type of structure), a historical-evolutionary perspective (year of opening and closing; lifespan and transformations), an institutional perspective (character and category of the venue, screening order, type of screenings), and an economic perspective (ticket price, annual admissions and box office revenue, number of employees). The Screens section investigates architectural characteristics (number of seats, presence of a balcony) and technological characteristics (projectors and audio systems). The People and Companies sections host personal and professional data on owners, managers, legal representatives, architects, and builders of venues and the enterprises to which they belong. The Relations section surfaces the network of relationships among the various actors according to a rhizomatic logic. CinEx is designed to make data available according to FAIR principles (Findability, Accessibility, Interoperability, and Reuse). Data are searchable through a system of filters and categories; accessible via a credentialing system; interoperable thanks to unique identifiers and meta-categories that serve as bridges for comparative research; and reusable and expandable in accordance with the logic of a research endeavour always in progress and always open to new uses. CinEx is conceived so as to enter into dialogue with other datasets, including the HoMER network — History of Moviegoing, Exhibition, and Reception — the Archivio Centrale dello Stato, the Romarcord project, and various partners from the Italian film industry.

Supplemental material. This is an excel file containing the following sheets: sheet a) compounds putatively annotated according to the UHPLC-HRMS workflow against the database BMDB in the different milk samples; sheet b) hierarchical clustering and PLS-DA graphs built considering all the annotated metabolites and the five seasons under investigations; sheet c) most significant and discriminant seasonal biomarkers characterizing each main cluster; sheet d) Significant metabolites resulting from the Volcano Plot analysis when considering the pairwise comparison Summer 2024 vs Summer 2023; sheet e) Permutation plot (n = 100 random permutation) for the OPLS-DA prediction model discriminating Summer 2024 and Summer 2023; sheet f) Most discriminant (VIP) and significant (Volcano Plot and AUC from ROC) metabolites characterizing the milk metabolome as a function of the different summer seasons.

This dataset contains responses on the issue of land take obtained from a survey of a representative sample of the population (N: 800) conducted in December 2024.

JLSP dataset. Two filed studies analyzing the effect of gender fair language on employees identity processes.