Università Cattolica del Sacro Cuore Showcase

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.

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.

Supplementary files related to article entitled Evaluating in vitro nutritional strategies clusters for mitigating methane emissions in intensive dairy farms by a mechanistic model of in vitro rumen fermentation

This data is related to untargeted metabolomics of a published paper entitled "Exogenous syringic acid mitigates arsenic toxicity in lettuce plants: A physiological, antioxidant, and metabolomics investigation" in Physiologia plantarum.

Daily feeding behavior (FB) in ruminants emerges from interacting physiological, dietary, managerial, and environmental drivers (Albright, 1993). Systems thinking (ST) provides a methodological base to conceptualize this complex biological phenomenon by identifying the interaction between variables (Tedeschi et al., 2025). A preliminary causal loop diagram (CLD) had previously identified the main feedback structures underlying FB, but several dynamic structures were not fully explicated, particularly those linking FB with nutrient inflow, nitrogen efficiency, and nitrogen dynamics as well as recycling (Canossa et al., 2025). This limitation is relevant to move toward a mathematical formulation of the conceptual model. A systems thinking approach was applied through problem articulation, system boundary definition, literature review, and extraction of variables and causal relationships from more than 90 publications. The previous CLD was refined by integrating short-term ingestive regulation with medium-term metabolic responses and external constraints. Where available, variables and causal links were specified using literature-derived quantitative evidence, so that the feedback structure is aligned with measurable relationships among key variables. The refined CLD highlights that FB is a determinant of nutrient inflow, because meal pattern and eating rate regulate the timing and quantity of substrates entering rumen fermentation. This is relevant for nitrogen dynamics, since dietary N intake, ruminal ammonia production, microbial N synthesis, urea-N recycling, and urinary and fecal N excretion depend on nutrient entry and absorption/transformation within the digestive system (Li et al., 2019). Thus, the expanded CLD provides a conceptual basis for linking feeding behavior to intake dynamics and for developing a quantitative model of nutrient inflow and nitrogen flows, supporting the evaluation of strategies to improve nitrogen use efficiency and reduce N excretion.

Files generated by Vensim Professional software (version 10.3.2, Ventana System Inc., Harvard, MA) containing raw data for causal loop diagram (CLD) representing the conceptual model of feeding behavior. The variables influencing those shown in Fig. 1 and determining daily meal pattern are grouped (clockwise) into: physiology, metabolism and health status; environment and feed bunk management; feed characteristics; and animal traits. A total of 14 feedback loops were identified: R1: feeding behavior; R2: hunger hormones; R3: metabolic disorders and feed consumption; R4: metabolic disorders, energy requirements, and energy balance; R5: dynamics of fermentation products in the rumen-reticulum compartment; R6: animal physical activity and feed intake; R7: ruminal particle flow; R8: competition for feeding space; B1: DM content in the rumen; B2: gap in energy balance; B3: animal activity and feeding frequency; B4: fill effect; B5: management of the feed station; and B7: feed sorting. Among these, seven loops are highlighted as they represent key control mechanisms of feed intake: physiological (R2), physical (B4), and psychogenic (R3, R8, B1, B5, B7)

The FLATIF project, Fashion Languages and Terminologies across Italian and French, studies the terminology of fashion in the period 1880-1980 in French and Italian. This dataset provides a sample of 16 issues of 8 fashion magazines (in .pdf format) published between 1901 and 1945 in France. The files were obtained from the Gallica website of the BnF – Bibliothèque nationale de France (https://gallica.bnf.fr/accueil/fr/html/accueil-fr) and some have been reworked.

The supplementary material is an excel file containing the following sheets: a) urine metabolites annotated through untargeted UHPLC-HRMS approach; b) milk metabolites annotated through untargeted UHPLC-HRMS approach; c) relationship between urinary allantoin and uric acid concentrations (mmol/L) independent from treatment.

The FLATIF project, Fashion Languages and Terminologies across Italian and French, studies the terminology of fashion in the period 1880-1980 in French and Italian. This dataset provides a sample of 16 issues of 8 fashion magazines (in .txt format) published between 1901 and 1945 in France. The files were obtained from the Gallica website of the BnF – Bibliothèque nationale de France (https://gallica.bnf.fr/accueil/fr/html/accueil-fr) and they have been reworked for corpus analysis.