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1901-1945 Corpus FLATIF (Fashion Languages and Terminologies across Italian and French) - 2
No full textEffects of Arbuscular Mycorrhizal Fungi and Metal-Tolerant Pseudomonas fluorescens on Mitigating Cadmium and Zinc Stress in Tomato
No full textHeavy metal (HM) contamination in agricultural soils poses a significant threat to soil health and plant productivity. This study investigates the impact of cadmium (Cd) and zinc (Zn) stress on tomato plants (Solanum lycopersicum) and explores the mitigation potential of microbial biostimulants (MBs), including arbuscular mycorrhizal fungi (AMF) and Pseudomonas fluorescens So_08 (PGPR), over a 52-day period using multi-omics ap-proaches. Root exudate profiling revealed distinct metabolic changes under HM stress, which compromised soil-plant interactions. Cd stress reduced the secretion of phe-nylpropanoids (sum LogFC: -45.18), lipids (sum LogFC: -27.67), and isoprenoids (sum LogFC: -11-67), key metabolites in antioxidative defense, while also suppressing rhi-zosphere fungal populations. Conversely, Zn stress enhanced lipid exudation (such as sphingolipids and sterols, as sum LogFC of 8,72 and 9.99, respectively) to maintain membrane integrity and reshaped rhizobacterial communities. The MBs application mitigated HM-induced stress by enhancing specialized metabolite syntheses, including cinnamic acids, terpenoids, and flavonoids, which promoted crop resilience. MBs also reshaped microbial diversity, fostering beneficial species like Portibacter spp., Alkalitalea saponilacus under Cd stress, and stimulating rhizobacteria like Aggregatilinea spp. under Zn stress. Specifically, under Cd stress, bacterial diversity remained relatively stable, suggesting their resilience to Cd. However, fungal communities exhibited greater sen-sitivity, with a decline in diversity in Cd-treated soils and partial recovery when MBs were applied. Conversely, Zn stress caused decline in bacterial α-diversity, while fungal diversity was maintained, indicating that Zn acts as an ecological filter that suppresses sensitive bacterial taxa and favors Zn-tolerant fungal species. Multi-omics data integration combined with network analysis highlighted key features associated with improved nutrient availability and reduced HM toxicity under MB treatments, including metabo-lites and microbial taxa linked to sulfur cycling, nitrogen metabolism, and iron reduction pathways. These findings demonstrate that MBs can modulate plant metabolic responses and restore rhizosphere microbial communities under Cd and Zn stress, with PGPR showing broader metabolomic recovery effects and AMF influencing specific metabolite pathways. This study provides new insights into plant-microbe interactions in HM-contaminated environments, supporting the potential application of biostimulants for sustainable soil remediation and plant health improvement.
Version 2: The data was changed based on reviewer reques
Hydrogen Utilization for Decarbonizing the Dairy Industry: A Techno-Economic Scenario Analysis (Puglia, Boccaletti, Faya, Morselli, Allesina & Pedrazzi; WP 2025)
No full textWe provide the data and code necessary to replicate the main results presented in the Working Paper "Hydrogen Utilization for Decarbonizing the Dairy Industry: A Techno-Economic Scenario Analysis" (Puglia, Boccaletti, Faya, Morselli, Allesina & Pedrazzi; WP 2025).
The subfolders allow replicating the following:
1. The folder "Alkaline_Electrolyser_Model" allows the user to simulate the hydrogen production rate of an advanced alkaline water electrolyser based on a given power input.
2. The folder "Economic assessment" allows the user to replicate the Monte Carlo simulation used to obtain the economic results presentend in section 3.2.
3. The folder "Methane Savings" allows the user to calculate the monthly energy-equivalent mass of methane
4. The foder "Thermal Load Calculation and Dairy Plants Dataset" allows the user to replicate the estimation of the energy load considered in the dairy production process.
For each subfolder a README file is provided. It contains information about the reproduction steps.
For further details or specific data queries, please contact the corresponding author directly
Neulateinische Wortliste
No full textThe Neolatin Wordlist (Neulateinische Wortliste; NLW) is a lexical resource that collects entries from Latin texts written in Europe between 1300 and 1600. The wordlist consists of circa 22000 lemmas. The data originally provided by the author Johann Ramminger have been modelled as Linked Open Data and are now published in LiLa
Lexicala
No full textRDF version (with linking to the LiLa Knowledge Base) of The Lexicala Latin-French Dictionary (Lexicala by K DICTIONARIES: https://lexicala.com), a bilingual dictionary aimed at French-speaking readers learning Latin at a beginner or intermediate level. The dictionary contains 14,000 entries, 21,000 examples, and 38,000 translations. The words selected are those that form the basis of the Latin language for the period from the 1st century BC to the 1st century AD. The dictionary covers the fundamental lexicon of the works most frequently proposed in Latin classes, favoring authors from the end of the Republic and the 1st century of the Empire (Cicero, Caesar, Sallust, Livius, Seneca for prose writers; Virgil, Horace, Ovid for poets). Likewise, the proper names included in the dictionary have been selected because of their importance in Roman history or Greco-Latin civilization
A data fusion approach unveils the impact of 3-nitrooxypropanol on the rumen fluid and milk metabolomes of lactating Holstein dairy cows
No full textSupplemental Table S1. Excel file containing the following sheets: a) rumen metabolites annotated by UHPLC-HRMS analysis; b) milk metabolites annotated by UHPLC-HRMS analysis; c) Correlation Network resulting from data fusion of rumen and milk metabolites; d) Log2FC values of the VIP compounds discriminating the rumen metabolomic profile for the pairwise comparison 3-NOP vs CTR groups; e) Log2FC values of the VIP compounds discriminating the milk metabolomic profile for the pairwise comparison 3-NOP vs CTR group
Dissecting trial-related from generalized effects of biostimulants: a case study on heat-stressed maize and sunflower using metabolomics coupled with machine learning
No full textSupplementary materials.
Table S1 Metabolomics dataset of Maize plants under normal, heat stress, and combination with organic matter
Table S2 Metabolomics dataset of Sunflower plants under normal, heat stress, and combination with organic matter
Table S3 Statistical analysis from AMOPLS-DA model for both Mazie and Sunflower, shared and separately
Table S4 VIP markers name and values of the most significant contribution to pairwise comparisons
Table S5 Statistical analysis from Random Forest model for both Mazie and Sunflowe
Framing Bias in a Large Language Model: A Diagnostic Accuracy Study of Prompt Effects on ChatGPT’s Melanoma Classification
No full text- Mendeley Supplemental Figure 1. Representative examples of the test. Each image was presented six times under different instructions: a neutral baseline prompt, and five framed prompts.
- Mendeley Supplemental File 1. Detailed Materials and methods (Study design, Model Access and Interaction, Dataset Details, Prompting Procedure, Outcome Measures and Statistical Analysis) of the stud
UHPLC-HRMS-based screening of purine and pyrimidine metabolites in cow milk collected across four different seasons
No full textSupplemental material: Excel file containing a comprehensive list on the nucleotides and derivatives identified in the milk samples from different seasons, namely Fall 2023, Winter 2024, Spring 2024, and Summer 2024. The compounds are reported with different annotation-based information: m/z values, reference m/z values, formula, INCHIKEY, total annotation score, Signal-to-Noise values (S/N average), MS1 isotopic spectrum, MS/MS spectrum (where available), relative abundance value of each annotated metabolite
Computational Imaging and Star-Targeting Spectroscopy – Media-Archaeological Perspective
No full textThis dataset accompanies and expands upon the article "The Rise of Computational Images: The Role of Star-Targeting Photospectroscopy", offering a systematic reorganization of the key concepts, sources, and research questions emerging from a historical-epistemological investigation of nineteenth-century spectroscopy, interpreted through the lens of computational imaging and media archaeology.
From a media-archaeological perspective, the dataset reconstructs the complex interplay of visual practices and technical-scientific apparatuses that, throughout the nineteenth century, contributed to the emergence of a regime of visibility grounded in automatic registration, the minimization of subjective interpretation, and the rise of "operative invisuality". Particular focus is placed on spectral maps and optical instruments as tools of standardization, codification, and pattern recognition, thus highlighting the transition from visual observation to diagrammatic computation.
The dataset includes:
- Diagram_ (.jpg): A visual rendering of the core conceptual relations articulated in the paper, useful to trace continuities, discontinuities, and critical transitions from spectroscopic images to algorithmic vision.
- Nodes_ (.pdf): A structured vocabulary of epistemic concepts drawn from the article, each accompanied by a short definition. This conceptual mapping outlines the visual and technical genealogy of spectroscopy as a precursor to computational imaging.
- QA_ (.pdf): A document collecting theoretical annotations, open questions, and epistemological reflections on image standards, algorithmic visibility, and computational mediation, within a broader historical framework.
- Quotations Tags_ (.pdf): A curated selection of excerpts from primary and secondary sources used in the article, annotated and tagged according to visual-semiotic and media categories (e.g., representation, instrumentation, printing techniques, standardization, visibility), in line with a media-archaeological methodology.
This dataset is intended for scholars and researchers in the fields of scientific visualization, history of optics and spectroscopy, computational imaging, and visual epistemology. It provides a conceptual and archival foundation for further studies on the operational logics, representational infrastructures, and epistemic functions of scientific images across the nineteenth and twenty-first centuries