RODBUK Jagiellonian University in Kraków
Not a member yet
737 research outputs found
Sort by
Behavioral antecedents of scientific crowdsourcing: academic teachers’ perspective
No full textZamieszczone dane powstały w ramach projektu badawczego „Behawioralne antecedencje crowdsourcingu naukowego – perspektywy nauczycieli akademickich”, finansowanego przez Narodowe Centrum Nauki w ramach konkursu OPUS nr 2019/35/B/HS4/01446. W ramach badań zebrano dane badawcze za pomocą kwestionariusza wywiadów swobodnych
Una.Resin_WP3_JU
No full textThe dataset titled "Una.Resin" (Grant Agreement number: 101017416 ) is a product of a collaborative project supported under the Horizon 2020 framework, addressing the "Science with and for Society" initiative. This comprehensive dataset is a result of the joint efforts among leading European academic institutions, including The University of Edinburgh (coordinator), Helsingin Yliopisto, Alma Mater Studiorum - Università di Bologna, Universidad Complutense de Madrid, Freie Universität Berlin, Katholieke Universiteit Leuven, Uniwersytet Jagielloński, and Université Paris I Panthéon-Sorbonne. This dataset includes vital data produced as a result of two pilot actions coordinated by the Jagiellonian University within Work Package 3: the Team Science Pilot and the Open Science Pilot, along with data derived from a co-creation workshop that took place in Kraków along with „Recommendations for the future shared Una Europa Human Resources strategy" (document D3.2), a deliverable which is a result of to the mapping of Human Resources (HR) strategies and priorities for a joint strategy
Spectral properties of critical 1+1D Abelian-Higgs model - replication data
No full textFigures for the published articl
Solubilizer Tag Effect on PD-L1/Inhibitor Binding Properties for m-Terphenyl Derivatives - raw data
No full textRaw experimental dataset for the publication "Solubilizer Tag Effect on PD-L1/Inhibitor Binding Properties for m-Terphenyl Derivatives" (https://doi.org/10.1021/acsmedchemlett.3c00306) consist of the inhibitors characerisation (1H and 13C NMR, IR, LCMS, HRMS), crystal structures, PD-1/PD-L1 in-vitro blockade assay, PD-1/PD-L1 HTRF assay, inhibitor solubility, molecular dockin
Advanced Deep Learning Techniques for Automated Cell Nuclei Segmentation in Biomedical Images
No full textThis dataset includes the U-Net architecture algorithm along with sample data files, which contain both the microscopic images used for analysis and their corresponding masked images. The algorithm was developed and trained using Python, enhancing its ability to perform precise segmentation in biomedical imaging applications
Catching thermal avalanches in the disordered XXZ model - replication data
No full textThis dataset contains raw time evolutions of correlations in the disordered XXZ and kicked disordered XXZ model (Z_i(t)Z_i(0) and Z_i(t) Z_j(t)) with open boundary conditions, enough for reproducing all figures from the paper
Development, psychometric properties and cut-off scores of the Polish Version of the 20-item Pain Anxiety Symptoms Scale (PASS-20) in a Chronic Pain Sample
No full textThe dataset is part of a larger project involving two studies. Study 1: his study was conducted online. The dataset contains information gathered from 418 participants suffering from chronic pain lasting more than 3 months, and a physician's diagnosis of a medical condition associated with chronic pain. The dataset encompasses sociodemographic data, including age, gender, marital status, employment status, educational level, and place of residence. Additionally, it features data from a medical history survey, and the following standardized questionnaires: Pain Anxiety Symptoms Scale-20 (PASS-20) (McCracken & Dhingra, 2002) [items: 1-20], Coping Strategies Questionnaire (CSQ) (Rosenstiel and Keefe, 1983) [items: 5,11,13,25,33,37], State-Trait Anxiety Inventory-Trait (STAI-T) (Spielberger et al., 1970) [items: 1-20], Depression Anxiety Stress Scales-21 (DASS-21) (Lovibond and Lovibond, 1995) [items: 1-21].
Study 2: The dataset contains information gathered from 148 individuals. Participants with presence of chronic pain lasting more than 3 months, and a physician's diagnosis of a medical condition associated with chronic pain were recruited from pain management facilities in Poland. The dataset includes sociodemographic data: age, gender, marital status, employment status, education level and place of residence. Additionally, it features data from a medical history survey, and the Pain Anxiety Symptoms Scale-20 (PASS-20) (McCracken & Dhingra, 2002) [items: 1-20]
ZintegrUJ geometry samples - Transformation example
No full textExample of transformation using matrix multiplication
Catalytic Oxidation of Volatile Organic Compounds with Mn-zeolites - IR and UV-vis data
No full textDataset for Catalytic Oxidation of Volatile Organic Compounds with Mn-zeolites - IR and UV-vis dat
Sampling diverse near-optimal solutions via algorithmic quantum annealing - replication data
No full textTex scripts with data needed to reproduce the figures