RODBUK Jagiellonian University in Kraków
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Carbamylation is Instrumental in End-Stage Kidney Disease Coagulopathies: the Impact on von Willebrand Factor and Platelet Functionality - research data
No full textDatasets represent the data and metadata generated for the publication Carbamylation is Instrumental in End-Stage Kidney Disease Coagulopathies: The Impact on von Willebrand Factor and Platelet Functionality
Slow magnetic relaxation in Nd(III) and Sm(III) complexes formed in three-dimensional lanthanide-dicyanidometallate(I) frameworks exhibiting luminescent properties - replication data
No full textThe dataset contains ac magnetic curves for NdAg and NdAu, including frequency dependencies of the out-of-phase magnetic susceptibility (Fig. 2a,d) and relaxation time vs temperature plots (Fig. 2b,e), energy level diagrams obtained through the ab initio calculations (Fig. 2c,f), ac magnetic curves for SmAg and SmAu, including frequency dependencies of the out-of-phase magnetic susceptibility (Fig. 3a,d) and relaxation time vs temperature plots (Fig. 3b,e), energy level diagrams obtained through the ab initio calculations (Fig. 3c,f), temperature-variable emission and excitation spectra for NdAu and SmAu (Fig. 4a-d), and the optical thermometry characteristics (Fig. 5a-f)
Non-destructive detection and identification of plasticizers in PVC objects by means of machine learning-assisted Raman spectroscopy
No full textRaman spectra used for the development of detection and identification of plasticizers in PVC objects by means of machine learning
Porous Metallophilic Frameworks Incorporating Metal–Organic Chains as Humidity Sensors Exploring Uranyl Photoluminescence - replication data
No full textThe dataset contains dynamic vapor sorption (DVS) data and volumetric adsorption-desorption data (Fig. 2a-d), isosteric heat of adsorption plots (Fig. 3a,b), humidity-variable photoluminescent properties including excitation spectra (Fig. 5a), emission spectra (Fig. 5b), normalized emission intensity vs humidity plots (Fig. 5c), and emission lifetime vs humidity plots (Fig. 5d), repeartability of water sorption and emission signal changes upon the variation of humidity for compound 1 (Fig. 7a) and compound 2 (Fig. 7b)
1,5-Disubstituted tetrazoles as PD-1/PD-L1 antagonists - research data for HTRF measurements
No full textRaw experimental dataset for the HTRF data for publication "1,5-Disubstituted tetrazoles as PD-1/PD-L1 antagonists" (https://doi.org/10.1039/D3MD00746D) consist of the inhibitors structures and PD-1/PD-L1 HTRF result
Cancellation of the linear Zeeman effect while keeping quadratic counterpart by using oscillating magnetic field
No full textThis dataset shows the compensation of the linear Zeeman effect while keeping quadratic counter part by using oscillating magnetic field. In this dataset, the cancellation of linear Zeeman splitting is shown in the rubidium-87 atomic ensemble. The data is collected by observing Faraday rotation signal, and all data shows the beauty of our technique in creating only quadratic Zeeman effect. In this regard, the data confirm that the quadratic Zeeman effect enables one to imprint any arbitrary phase on the atoms
Interaction of serotonergic system and GPR39 zinc receptor in antidepressant-like response in mice - raw data
No full textThe dataset includes all raw data gathered during exploration of interaction between GPR39 zinc receptor and 5-HT1A serotonin receptor in mouse brain
Construction of a Set of Novel Transposon Vectors for Efficient Silencing of Protein and lncRNA Genes via CRISPR Interference - replication data
No full textThis dataset contains the data presented in the figures of the article Construction of a Set of Novel Transposon Vectors for Efficient Silencing of Protein and lncRNA Genes via CRISPR Interference
Molecular dyanamics of 5CB+SiO2 nanoparticles - research data
No full textDielectric and simulation data for 5CB liquid crystal dopped SiO2 nanoparticles
From 2D to 3D: Automated Ultrasound Segmentation and Cross-Sectional Validation in Murine Tumor Models - replication data
No full textThe dataset comprises B-mode ultrasound images of subcutaneous murine tumors acquired in two preclinical models. Human LN229 glioblastoma multiforme cells were inoculated into the interscapular fat pad of female BALB/c AnN-Foxn1nu/nu/Rj mice, and mouse mammary carcinoma 4T1 cells were inoculated into the mammary fat pad of female BALB/cAnNRj mice (Janvier Labs, Le Genest-Saint-Isle, France). Anatomical B-mode images were acquired using a Vevo F2 ultrasound system with a 25–57 MHz transducer and a Vevo 2100 system with an MS-550D transducer (VisualSonics, Toronto, ON, Canada). All procedures were approved by the Second Local Ethics Committee of Cracow (Permission No. 165/2023 and 250/2020).
The original material consisted of (i) individual 2D B-mode images with corresponding expert-drawn tumor masks and (ii) ultrasound videos acquired during freehand examinations, with or without frame-wise annotations. From these videos we extracted individual frames and, where available, the corresponding segmentation contours. The training dataset ultimately used for model development contained 565 images from the first (static-image) source and 2,877 frames extracted from videos; among the latter, 986 frames were provided with tumor masks and 1,891 frames had no mask because either no tumor was visible or the presence of a tumor in that frame was deemed too uncertain by the expert. Images were randomly divided into training, validation, and test subsets for quantitative evaluation.
To better characterize model robustness and out-of-distribution behavior, we additionally assembled two curated test resources. First, we selected 10 challenging validation images (e.g. low signal-to-noise ratio, strong contrast heterogeneity within the ROI, or very small tumors) and obtained independent manual segmentations from an expert who was not involved in dataset generation and typically works with different tumor types. Second, we created a “special” testing dataset consisting of 258 masked images from two mice that were not included in the training cohort. For each of these animals, B-mode images were acquired at two time points and in both axial and sagittal planes. In one mouse, LN229 tumors were located directly under the skin rather than in the interscapular fat pad, introducing a tumor location and appearance not represented in the training data. Together, these components provide a diversified benchmark for murine B-mode ultrasound segmentation, spanning multiple tumor models, implantation sites, image qualities, and distribution shifts