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Welcome to UC’s European Collaborations and Horizon Europe Research Repository This repository serves as a central location for recordings of seminars, webinars, information sessions, and meetings related to European collaborations and Horizon Europe, as well as associated presentations, guidance materials, funding information, and other relevant documents. The repository is intended for researchers, professional staff, partners, collaborators, and other stakeholders interested in European research and innovation opportunities. It provides a shared resource to support engagement with Horizon Europe and other EU initiatives, foster collaboration, and promote knowledge sharing across the broader research community. Content will be updated regularly as new events, resources, and opportunities become available.

In this study, we present amyloid-β-specific engineered CD4+ CAR-T as an approach to directly target sites of pathology. The data is presented in a single spreadsheet file containing all raw data for main and supplementary figures.

The dataset describes an analysis of benthic macroinvertebrate communities from the Someșul Cald, Someșul Rece, and Someșul Mic rivers in 2020, across 23 sampling stations. It includes: a list of sampling sites with associated environmental characteristics (Table R1); a list of identified benthic invertebrate taxa with details on their assignment to ecological guilds (Table R2); taxonomic and functional diversity indices and water quality indices calculated for the dataset (Table R3); and zoobenthic indicator taxa with respect to elevation, human impact, and sediment structure (Table R4). The dataset is supporting the research paper: Cîmpean Mirela, Szekeres Edina, Teban-Man Adela, Coman Cristian, Battes Karina P., Taxonomic and Functional Diversity of Benthic Invertebrates Along a Human Impact Gradient (reviewed)

This datasets includes the corresponding original data in each chart corresponding to the article. Including WB original whole film strip with marker, quantitative analysis of animal experiments, and bioinformatics analysis of relevant database data, etc. All the original data of the article can be found under the following list.

Content of the dataset: raw data Supported manuscript: Alginate-oxidized pullulan composites for enhanced hemostatic performance by Emma Bobu, Klara Magyari, Codrut Costinas, Lucian Baia, Milica Todea, Zsejke-Réka Tóth, Emilia Licarete, Ștefana Mureșan, Alexandra Dreanca, Orsolya Sarpataki, Oana Cadar, Tamás Gyulavári, Monica Baia

This dataset supports the study “Eco-efficiency of Room Air Conditioner Units in a Dengue-Prone Climate: A Comprehensive Life Cycle Analysis Integrating Epidemiological Perspectives.” It contains the inputs, calculations, and model outputs used to investigate the relationship between indoor thermal conditions, room air-conditioner energy consumption, environmental impacts, household costs, and dengue transmission risk. The dataset covers eight dengue-endemic cities in South and Southeast Asia: Bangkok, Cebu, Chennai, Colombo, Dhaka, Ho Chi Minh City, Jakarta, and Yangon. It includes climate and dengue observations used for model development, physics-informed machine-learning predictions of the indoor basic reproduction number, estimated hospitalized secondary dengue cases per household, Variable Cooling Degree Day energy calculations, life-cycle assessment results, environmental externality and consumer-cost estimates, and integrated eco-efficiency indicators. Scenarios span air-conditioned and non-air-conditioned living spaces, indoor temperatures of approximately 18–30 °C, different mosquito densities, vector-control interventions, and national-grid and decentralized-solar electricity supplies. Uncertainty ranges generated through Monte Carlo analysis are also provided where applicable. These data enable reproduction and further analysis of the climate–cooling–dengue nexus and can support research on climate-resilient cooling, household energy policy, environmental sustainability, and vector-borne disease prevention in tropical regions.

This dataset contains the experimental, analytical, and bioinformatic data supporting the study "Living commensal biofilms for corrosion prevention." It provides a comprehensive, multimodal evaluation of microbiome engineering as a sustainable strategy to mitigate microbiologically influenced corrosion (MIC) on copper surfaces. Specifically, the data demonstrates the efficacy of the commensal bacterium Citrobacter sp. strain MICI21 in outcompeting the highly corrosive sulfate-reducing bacterium (SRB) Oleidesulfovibrio alaskensis G20. The repository encompasses the four-part ecological framework of microbioclaim, including competitive surface occupation, biological passivation, and commensal antagonism. Data contained in this repository includes: Electrochemical Data: Open Circuit Potential (OCP), Electrochemical Impedance Spectroscopy (EIS) Nyquist/Bode plots, and potentiodynamic polarization curves demonstrating 3- to 15-fold higher corrosion resistance. Surface & Structural Characterization: Scanning Electron Microscopy (SEM) micrographs, Confocal Laser Scanning Microscopy (CLSM) surface coverage profiles, nanoindentation metrics (stiffness/elasticity), and pit-depth quantifications. Physicochemical Analysis: Gravimetric (weight-loss) assay results, Extracellular Polymeric Substance (EPS) characterization, Energy-Dispersive Spectroscopy (EDS), X-ray Diffraction (XRD), and reactor H₂S quantification. Genomic & Bioinformatic Context: 16S rRNA analysis data and outputs from comparative genomic analysis (STRING-DB protein-protein interaction networks) of publicly available Citrobacter strains highlighting putative Type VI secretion system (T6SS) antagonism features. (Note: KBase Narratives #182783 and #182791 are hosted externally). Keywords: Microbiologically Influenced Corrosion (MIC), Biofilm Engineering, Living Coatings, Citrobacter, Sulfate-Reducing Bacteria (SRB), Electrochemical Impedance Spectroscopy (EIS), Biological Passivation, Type VI Secretion System (T6SS), Copper Corrosion

This dataset supports the manuscript **“Post-diffusion cooling effects on Hall-derived active lithium donor profiles in high-purity germanium.”** It contains the measured cooling histories, the raw and processed 77 K Hall-profile data, and the Jupyter notebooks used for the reported profile fits and figures. Eight HPGe coupons were studied: four nominal Li-diffusion temperatures (240, 260, 280, and 310 °C) and two post-diffusion cooling protocols (short and long cooling), with one coupon per condition (`n = 1`). Every diffusion hold was 30 min. Figures 1 and 2 in the manuscript are photographs/schematics of the samples and apparatus and therefore have no numerical data file in this dataset.

Supplemental material associated with a small real-world case series evaluating remibrutinib in patients with inadequately controlled cholinergic urticaria.

Western blot