RODBUK Jagiellonian University in Kraków
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737 research outputs found
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High Molecular Crowding in Repair Foci Surrounding DNA Breaks, Measured by Fluorescence Lifetime Imaging Microscopy - research data
No full textThe dataset includes quantitative experimental results as well as microscopy-based visual documentation, prepared in compliance with FAIR principles. Deposited files were used to generate figures for the article “High Molecular Crowding in Repair Foci Surrounding DNA Breaks, Measured by Fluorescence Lifetime Imaging Microscopy”
Iron-modified dendritic mesoporous silica nanoparticles as catalysts for propane and ethane oxidative dehydrogenation - replication data
No full textThis research investigates the catalytic performance of iron-modified dendritic mesoporous silica nanoparticles (DMSN) and alumina-silica nanoparticles (AlDMSN) for the oxidative dehydrogenation (ODH) of ethane and propane with N2O as an oxidant
Induction of DNA single - and double - strand breaks by excited intra - or extracellular green fluorescent protein - research data
No full textThe dataset includes quantitative experimental results as well as microscopy-based visual documentation, prepared in compliance with FAIR principles. Deposited files were used to generate figures for the article “Induction of DNA single- and double-strand breaks by excited intra- or extracellular green fluorescent protein”
Torsional resonance AFM images on graphene
No full textData used for the preparation of Figure 3 in the paper
Effect of Western diet on body composition, locomotor performance and blood biochemical profile in the bank vole (WDP experiment) - replication data
No full textThe dataset includes: - An Excel file WDP_DataSet_20250725.txt with raw data obtained as a result of completing one of the tasks of the NCN-financed project UMO 2019/35/B/NZ4/03828 granted to Paweł Koteja, the Principal investigator, enitled “Experimental evolution of the thrifty and spendthrift genotypes, and its consequence for susceptibility to adverse effects of “Western diet”: insights from a selection experiment on bank voles”; an Excel file WDP_Supplementary_Tables_20250725 and pdf file WDP_Supplementary_Figures_20250725.pdf with the supplementary tables and figures associated with the publications based on the results; text file WDP_SAS_code_20250905.txt with SAS code used for the data analysis; WDP_README_20250911.txt file with general metadata information about these files
Transformation of CO2 and CH4 over iron-containing Al-rich zeolites : replication data
No full textThe direct conversion of carbon dioxide (CO₂) and methane (CH₄) into oxygenated platform chemicals under mild conditions remains a key challenge in sustainable catalysis. In this study, we investigate iron-containing, Al-rich zeolites—Fe-*BEA and Fe-CHA—as catalysts for the co-conversion of CO₂ and CH₄ to methanol and acetic acid. The results confirm that both zeolites contain well-dispersed Fe species, yet with distinct differences in oxidation state and coordination environment, depending on the zeolite topology. *BEA primarily stabilizes Fe(II) species, while CHA favors the formation of Fe(III) oxide-like species. These differences significantly influence catalytic behavior: although both Fe-CHA and Fe-*BEA catalyze the conversion of CO₂ and CH₄ to methanol and/or acetic acid under mild conditions, product formation is initiated at a lower temperature for Fe-CHA
Targeted proteomic analysis of endothelial-specific biomarkers and non-invasive assessment of endothelial function using FMSF, FMD and RH-PAT studies in FEP patients - research data.
No full textThe dataset contains quantitative results of a panel of 18 protein/peptide biomarkers specific for endothelial dysfunction measured in human plasma in young patients with first episode of psychosis (FEP patients) and in healthy volunteers, as well as results of the assessment of endothelial function in FEP patients and in healthy volunteers based on functional tests of the brachial artery (FMD study) and peripheral microcirculation (RH-PAT study) and skin (FMSF study)
Raman spectroscopy of proteins: a review - research data
No full textThe raw data are referenced to the selected figures in the manuscript entitled "Raman spectroscopy of proteins: a review". Data analysis within this research was conducted using the presented dataset
Topological quantum floating phase of dipolar bosons in an optical ladder - replication data
No full textThe dataset consists of two files:
Paper_Figures_Data.pkl
Paper_Figures_Data_Resubmission.pkl
These files contain the numerical data used to generate the figures in both the main text and supplementary materials of the associated research article. All data were obtained using Density Matrix Renormalization Group (DMRG) calculations for a bosonic ladder model with varying parameters.
Contents:
Paper_Figures_Data.pkl contains the replication data for the figures presented in the main text:
Figure 2: (a) Entanglement entropy SvN, (b) P, and (c) the maximum of the structure factor S(k) for k ≠ 0, computed for a ladder with L = 96 rungs.
Figure 3: Structure factor S(k) for t/V = 0.05 as a function of Δ/V, calculated for L = 12, 24, 48, and 96. Peaks at incommensurate k values that become continuous with increasing L illustrate the floating phase.
Figure 4: (a) P and (b) the central charge c, both obtained via finite-size scaling ∼1/L for t/V = 0.05 using DMRG. Calculations were performed with χ = 600 for L ∈ {60, 72, 84, 96}. Error bars are shown for each data point.
Paper_Figures_Data_Resubmission.pkl contains the replication data for the supplementary material:
Figure S3: Structure factor S(k) for t/V = 0.05, as a function of Δ/V, for L = 12, 24, 48, and 96.
Figure S4: Structure factor S(k) for t/V = 0.3 and t⊥/t = 0.1, as a function of Δ/V, for L = 12, 24, 48, and 96.
File format: The data are stored as Python pickle (.pkl) files and can be read using Python’s pickle module. A sample script (tree.py) is included to browse the file contents.
Data fields (file Paper_Figures_Data.pkl):
Common: 'DeltaV_list' (Δ/V values), 'tV_list' (t/V values)
Figure 2: 'EntEntrs', 'PLams', 'Skmax'. These arrays have dimensions corresponding to the number of items in 'DeltaV_list' and 'tV_list', and they represent panels (a), (b), and (c) of Figure 2 in the main text, respectively.
Figure 3: 'Skcuts'. Array of shape (5, 200, 51). The first dimension corresponds to four system sizes L and an extrapolation to L → ∞. The other two axes represent Δ/V (51 values) and k between -π and π (200 values),
Figure 4: 'PLamcut', 'ccut', 'OScut'. These contain lists of (value, error) pairs and correspond to quantities shown in Figure 4: P and the central charge c, obtained via finite-size scaling for t/V = 0.05, using DMRG data for L ∈ {60, 72, 84, 96}. 'Oscut' shows a similar string order (not shown in Fig 4) fit
Data fields (file Paper_Figures_Data_Resubmission.pkl):
'SkcutsNNN': Structure factor data corresponding to Figure S3. Array of shape (5, 200, 81), where the first dimension spans four system sizes L and an extrapolation to L → ∞. The second and third dimensions correspond to momentum k (sampled between –π and π) and Δ/V (sampled uniformly between 3 and 5), respectively.
'Skcutsty': Structure factor data corresponding to Figure S4. Same array shape and axis meaning as above: (5, 200, 81) = (L, k, Δ/V).
All arrays are stored in NumPy format within the pickle files and are structured for direct plotting and analysis.</p
Proteomic raw datasets for liver sinusoidal endothelial cells (LSECs) isolated from C57BL/6J mice and cultured human aortic endothelial cells (HAECs)
No full textThe purpose of collecting the data set was to explore the repertoire and relative abundance of proteins involved in the function and structure of murine primary LSECs and human-derived cultured HAECs. Data were obtained using an untargeted LC-MS/MS-based methodology