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Supplementary materials for the paper "Microstructure transformation of MCM-41 modified cement paste subjected to thermal load and modelling of its pore size distribution"
No full textDane badawcze dotyczą wpływu mezoporowatej krzemionki o typie struktury MCM-41 na proces degradacji termicznej zaczynów cementowych. Wpływ MCM-41 sprawdzono poprzez dozowanie w ilości 0-2% względem masy cementu. Zakres badań obejmował charakterystykę surowców wyjściowych, tj. cementu i MCM-41. Zbadano skład chemiczny (XRF - fluorescencja rentgenowska), skład fazowy (XRD - dyfrakcja rentgenowska) i uziarnienie (PSD - metoda dyfrakcji laserowej).W celu zbadania degradacji termicznej zaczynów cementowych z MCM-41 wykonano badania wytrzymałości na ściskanie (fc), wytrzymałości na rozciągnie (fcf), gęstości właściwej (DS), gęstości pozornej (DA), składu chemicznego (XRF), składu fazowego (XRD), struktury porów powietrznych (MIP - porozymetria rtęciowa). Badania wykonywane były w funkcji obciążenia termicznego w zakresie 100-700 oC.Zbiór danych obejmuje swoim zakresem surowe wyniki wszystkich badań zawartych w artykule, opis oznaczeń i receptur, oraz opis metodyki.The research data concern the influence of mesoporous silica of the MCM-41 structure type on the thermal degradation process of cement pastes. The influence of MCM-41 was checked by dosing in the amount of 0-2% relative to the cement mass. The scope of the research included the characteristics of the raw materials, i.e., cement and MCM-41. The chemical composition (XRF - X-ray fluorescence), phase composition (XRD - X-ray diffraction) and particle size distribution (PSD - laser diffraction method) were examined.In order to investigate the thermal degradation of cement pastes with MCM-41, tests were performed on compressive strength (fc), tensile strength (fcf), specific density (DS), apparent density (DA), chemical composition (XRF), phase composition (XRD), air pore structure (MIP - mercury porosimetry). The tests were performed as a function of thermal load in the range of 100-700 oC.The dataset includes the raw results of all studies included in the article, a description of the recipes, and a description of the methodology.</p
MK-8776 and Olaparib combination demonstrates lack of adverse effects on liver tissues in ovarian cancer PDX model
No full textHistopathological Analysis of Liver Tissues in olaparib-resistant PDX model treated with PARPi alone or in combination with a CHK1 inhibitorObjectives:To evaluate the effectiveness and side effects of the drugs in patient-derived xenograft (PDX) models, we examined whether ovarian tumor cells metastasized to the liver after therapy. Methods: Olaparib-resistant PDX tumors were treated with PARPi alone or in combination with a CHK1 inhibitor for histopathological analysis. The levels of Ki-67 (a proliferation marker) and CHK1 kinase phosphorylation at Ser345 were assessed. Hematoxilin and eosin staining (H&E) staining was used to differentiate and visualize the detailed structure of tissue components. Results: An Hematoxilin and eosin (H&E) based evaluation of the liver tissue from mice with olaparib-resistant ovarian cancer revealed no evidence of metastasis to the liver. Ki-67 and pCHK staining showed no changes in liver tissue, indicating the absence of metastases and confirming that the treatment did not induce hepatotoxic effects.The dataset includes microscopic images from IHC and H&E staining of liver tissues.Folder and file list: Folder 1. Hematoxilin and eosin staining of liver tissue images (png format) and staining procedure description (odt format).Folder 2. Immunohistochemistry staining of liver tissue images_Ki67 marker (png format) and preparation of liver sections and immunohistochemistry staining procedure description (odt format).Folder 3. Immunohistochemistry staining of liver tissue images_pCHK1 marker (png format) and preparation of liver sections and immunohistochemistry staining procedure description (odt format).Readme file. Data&file overview, methodological information, environmental/experimental conditions, abbreviations used to describe images </p
Green FinTech: A Consumer Awareness Study
No full textThe database used in the article:Green FinTech: A Consumer Awareness Study. SustainabilityThe empirical data were obtained from a survey conducted in mid-2023, involving 2000 respondents from the United Kingdom, Germany, Poland, and Ukraine. </p
Assessment of the impact of polystyrene microplastics and soil moisture content on the bioavailability and mineralization of diesel fuel by a bacterial community in sandy soil
No full textThis dataset was generated to assess the impact of polystyrene (PS) microplastics and soil water availability on diesel fuel biodegradation and the functional structure of soil microbial communities. The study aimed to verify whether microplastics influence xenobiotic bioavailability and degradation kinetics by acting as competitive sorbents in the soil matrix.The data were collected from a 365-day microcosm experiment conducted in sandy soil artificially contaminated with diesel fuel and inoculated with a well-characterized hydrocarbon-degrading bacterial consortium. Treatments varied by PS microplastic concentration (0–10%) and soil moisture levels (PWP, FC, SAT). The dataset includes mineralization rates (CO₂ evolution), physicochemical analysis of PS particles, water activity and functional and taxonomic metagenomic profiles of the microbial community. This data supports the conclusion that soil moisture, rather than microplastic presence, is the dominant factor influencing hydrocarbon degradation in contaminated soils.</p
Radiocarbon concentration Gliwice 2024-2025
No full textThe data includes analyses of PM1 and PM2.5 concentrations, selected gas concentrations, and radiocarbon concentrations in particulate matter. The data was collected in the Gliwice city (southern Poland) from November 2024 to June 2025.</p
Komunikacja między komórkami prawidłowymi i nowotworowymi przy udziale zewnątrzkomórkowych pęcherzyków błonowych
No full textJakościowa analiza pęcherzyków błonowych</p
Single-crystal 3D electron diffraction dataset for ammonium oxalate monohydrate
No full textElectron diffraction dataset collected from ammonium oxalate monohydrate (Sigma-Aldrich) micro crystals, as supplied by the manufacturer.Microscope: Thermo Fisher Scientific 200kV Glacios Transmission Electron Microscope (Cryomicroscopy and Electron Diffraction Core Facility at the Centre of New Technologies, University of Warsaw, Poland)Camera: Ceta-D camera (bin 2x2, rolling shutter, noise reduction mode)Collection Software: EPU-D (Thermo Fisher), SMV formatCollection Parameters: 200keV, -193C, 50um C2, gun lens 8, spot size 11, extraction voltage 3850V, parallel beam, beam diameter ~1.7 um, beam stop inserted, oscillation per frame 0.4 deg, 0.5 s exposure time, tilt speed 0.8 deg/s, rotation -60 to +60 degGrid: lacey carbon Cu 200 mesh glow discharged for 60s at 25mASample: ammonium oxalate monohydrate</p
Data and processing scripts used in manuscript: "Detecting and resolving sub-millimolar concentration amino acids on a benchtop NMR spectrometer by nh-PHIP hyperpolarization"
No full textData used to prepare figures in the Manuscript. The list of datasets related to figures is stored in the file DataInformation.xlsx. The File Figures.py will regenerate the Figures used in the manuscript.</p
Reclamation of degraded soils: Analysis of selected parameters after organic/inorganic modifications
No full textThe deposited data were collected as part of the research project entitled ‘Wpływ złożonej modyfikacji fizykochemicznej środowiska glebowego na mobilność metali, metaloidów i herbicydów - badania laboratoryjne’, eng. ‘The impact of complex physicochemical modification of the soil environment on the mobility of metals, metalloids and herbicides - laboratory tests’, financed by the National Science Centre, Poland as part of the project under the OPUS 21 call (project no. 2021/41/B/NZ9/03059) as well as by the project “Efficiency of erosion control agrotechnologies for improvement of soil quality and water regime and mitigation of greenhouse gas emissions”, financed by the National Science Fund (project no. КП-06 H 46/1 2020).The main objective of the research was to determine the impacts of additives of various origin and composition on Polish (Eutric Cambisol) and Bulgarian (Epicalcic Chernozem) soils. Physicochemical and hydrophysical parameters including pH, variable surface charge, porosity, specific surface area, wettability, sorption capacity relative to trace metals, and water retention of soils were taken into account. A comprehensive assessment of the validity of using popular soil additives (natural and synthetic zeolite, zeolite-carbon composite, fly ash, biochar, vermicompost, divergan) in a real context was made.The research was conducted in the period from 1st April 2022 till 20th October 2023 at the Institute of Agrophysics, Polish Academy of Sciences in Lublin (Poland) as well as Nikola Poushkarov Institute of Soil Science, Agrotechnology and Plant Protection in Sofia (Bulgaria). The collection contains the results of studies on characteristics of soil modifiers, the changes occurred in the soils after modification as well as sorption mechanism of cadmium (Cd) ions on soils, modifiers and soil-modifier mixtures.The attached files have been compressed to *.zip format. The dataset consists of the following files:1) Cd_adsorption – raw data on the determination of adsorbed amount of Cd ions on modifiers, soils and soils enriched with additives/modifiers (.xlsx).2) Characteristics_of_modifiers_and_soils – raw data on the measurements of nitrogen adsorption/desorption, morphology (SEM), wettability (contact angle) and surface charge of modifiers as well as wettability, pH, nitrogen adsorption/desorption, surface charge, carbonate content and organic matter of soils (.xlsx, .jpg, .tiff)3) Modification_impact_on_soil – raw data on the measurements on nitrogen adsorption/desorption, surface charge, hydrophysics (aeration capacity, hydroscopic water content, plant available water capacity, relative field capacity, saturated conductivity, index of Dexter, particle density, total porosity, wilting points), pH and wettability of soils with modifiers (.xlsx).The data was compiled on the basis of laboratory tests.The results presented in file „Cd_sorption” were obtained using an ion-selective electrode (Detektor s.c. – Electrochemical Equipment).The results presented in file „Characteristics_of_modifiers_and_soils” were obtained using the following research equipment: nitrogen adsorption/desorption analyzer SI Quadrasorb (Quantachrome Instruments), scanning electron microscope (Phenom ProX, Pik Instruments), automatic titrator Titrino 702 SM (Metrohm), goniometer Drop Shape Analysis System (DSA100, Krüss), pHmeter (Elmetron).The results presented in file „Modification_impact_on_soil” were obtained using the following research equipment: pycnometer, soil moisture extractor (Soilmoisture equipment, Corp.), nitrogen adsorption/desorption analyzer SI Quadrasorb (Quantachrome Instruments), automatic titrator Titrino 702 SM (Metrohm), goniometer Drop Shape Analysis System (DSA100, Krüss), pHmeter (Elmetron).</p
Cadmium and lead adsorption in soils of postglacial landscapes
No full textThis dataset contains adsorption isotherm parameters for Cd(II) and Pb(II) based on Freundlich and Langmuir models, as well as selected physical and chemical soil properties, for a set of soil samples collected from various geomorphological forms characteristic of postglacial landscapes. These postglacial landscapes include areas shaped during two stages of glaciation: the Bielsk Plain near Orla and the Nidzica Upland (Warta Glaciation – MIS 6), and the Masurian Lakeland (Vistula Glaciation – MIS 2–5). The sediments forming landforms differ in lithology, due to various glacial processes, source material origins, and post-depositional surface processes such as weathering and organic matter accumulation, leading to distinct physicochemical properties. shaped during various Pleistocene glaciations and glacial phases. Parameters include Freundlich constants (K, b) and Langmuir constants (Am, K), along with the determination coefficients (R²) indicating model fit. Soil properties comprise pH, organic matter content, particle size distribution (sand, silt, clay), CEC, calcium carbonate content, and Fe/Al ratio. The data support comparative analyses of sorption capacity across different landforms and are intended for use in environmental, agricultural, or geochemical research.</p
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