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Immunomodulatory Properties of Live and Thermally-Inactivated Food-Origin Lactic Acid Bacteria – In Vitro Studies
No full textIn this study, the strain-specific immunomodulatory properties of live and thermally inactivated (TI) lactic acid bacteria (LAB) isolated from traditional Polish fermented foods were investigated to evaluate their potential as probiotics and postbiotics. Each strain was tested in at least three independent biological repetitions, divided into live and TI samples.Five LAB strains of different origins were isolated from traditional Polish fermented foods and obtained from the culture collection at Warsaw University of Life Sciences. The commercial probiotic strains Lacticaseibacillus rhamnosus GG and Lactiplantibacillus plantarum 299v served as reference strains. The bacteria were cultured in MRS broth and tested in both live and TI forms, with TI cultures prepared by heating at 90°C for 10 minutes.The immunomodulatory activity of these strains was assessed by measuring cytokine production in THP-1 macrophages. These cells were derived from the THP-1 monocyte line, cultured in RPMI 1640 medium with supplements at 37°C in 5% CO₂, and differentiated into macrophages using PMA (50 nM) for 48 h, then washed and maintained in antibiotic-free medium. Selected LAB strains (live and TI, 10⁶ CFU/ml) were added to macrophage cultures and incubated for 24 h. Some samples were additionally stimulated with LPS (1 µg/ml) after 4 h of incubation. Controls included macrophages without bacteria, with or without LPS. After 24 hours, supernatants were collected, and cytokine levels (IL-1β, IL-6, TNF-α, IL-10) produced by macrophages were measured using DuoSet ELISA Kits. Absorbance was recorded at 450 nm and corrected at 540 nm using a BioTek Synergy H1 microplate reader.The impact of LAB on epithelial barrier integrity was assessed using transepithelial electrical resistance (TEER) measurements in Caco-2 monolayers, which mimic mature intestinal enterocytes. Caco-2 cells were cultured in DMEM with supplements at 37°C in 5% CO₂. Cells were seeded onto polyester membrane inserts (0.4 μm pore size) and incubated for 21 days to form a differentiated monolayer, with the culture medium refreshed every other day. 24 h before bacterial exposure, the medium was replaced with an antibiotic-free medium. At time 0, baseline TEER was measured using a Millicell-ERS voltohmmeter. LAB strains (live or TI, 10⁶ CFU/well) or bacterial-free medium were added to the apical compartment, and TEER was measured at 8, 20, and 24 hours post-incubation. After 24 h, LPS (1 µg/mL) was added to the basolateral compartment, and additional TEER measurements were taken at 26, 30, and 34 hours (2, 6, and 10 hours post-LPS stimulation). Changes in TEER were expressed as the TEER Ratio, normalized to baseline values using the equation: TEER Ratio = (resistance – background resistance) × membrane area) / initial TEER.The antioxidant properties of bacterial metabolites were evaluated using ABTS and DPPH radical scavenging assays. LAB cultures (live and TI) were centrifuged, filtered, and the cell-free supernatants were used for analysis. For the ABTS assay, the radical solution (7 mM ABTS, 2.45 mM potassium peroxydisulfate) was diluted to an absorbance of 0.7 ± 0.02 at 734 nm, and mixed with sample dilutions (50 µL sample + 150 µL ABTS solution). Absorbance was measured after 6 minutes at 734 nm using a SpectraMax iD3 microplate reader. For the DPPH assay, the radical solution (DPPH in methanol, absorbance 1.1 ± 0.05 at 517 nm) was prepared and stored in the dark. Samples (10 µL bacterial supernatant + 190 µL DPPH solution) were incubated in the dark at 150 rpm for 30 minutes, after which absorbance was measured at 517 nm. Radical scavenging activity (%) was calculated as: Scavenging effect (%) = (Ac - As) / Ac × 100, where As is the sample absorbance and Ac is the control absorbance.Organic acids and sugars produced by the LAB strains were analyzed using high-performance liquid chromatography (HPLC). Samples were prepared similarly to those for antioxidant assays. The analysis was conducted using an HPLC system (Shimadzu, USA), equipped with an Aminex HPX-87H column (300 × 7.8 mm, Bio-Rad) maintained at 40°C, with a 10 mM H₂SO₄ mobile phase and a 0.5 mL/min flow rate. Separation was monitored using UV/Vis detection at 210 nm and RI detection, with quantification based on external standard curves (0.12–40 µg per injection of each analyte). Linear regression equations were generated from calibration curves relating peak area to analyte concentration.The dataset includes:Raw and calculated cytokine data from ELISA assays ->The raw data from the microplate reader, including standard curves, supplemented with the plate layout and a description of the dilution rate (DR) for each sample, are provided in the files titled 'Raw [cytokine] plate layout...', while the concentrations calculated based on standard curves according to the manufacturer’s protocol and the dilution factors of individual samples are presented in the file 'Calculated cytokines...'.Raw and calculated TEER measurements from Caco-2 monolayer experiments -> The raw data are provided in the file titled 'TEER raw results...', while the calculated data, processed according to the equation, are presented in the file 'TEER calculated...'.Antioxidant activity data (ABTS and DPPH assays) -> The results are provided in the files titled 'ABTS results...' and 'DPPH results...'.Organic acid and sugar profiles from HPLC analysis -> The results, containing the concentrations of analyzed compounds expressed in µg/mL, are provided in the file titled 'Organic acids...'.</ul
Ab Initio Elucidation of the Nature of the Bonding of Tetrahedral Nitrides (BN, AlN, GaN, and InN), Hexagonal BN, and Graphene
No full textBatch files for the programs: siesta, denchar, mprop allowing the analysis of the projected density of states and the wave function of the corresponding states, used in the preparation of the related publication.Files description:wurtzite.tgz - wurtzite materials w-InN, w-GaN, w-AlN, w-BNlayered.tgz - layered materials h-BN, graphiteBoth gzipped tar archives (.tgz) are duplicated in .zip format.File input.fdf is a main input file for SIESTA, i.e. execution: siesta < input.fdf | tee output.txtFile xc.fdf is included by main siesta input to add more setup parameters.File zmatrix.xyz is a file with system coordinates in Angstrom.Files *.ion are pseudopotentials for SIESTA with GGA-1/2 correction scheme.Files denchar.fdf are inputs for the denchar program distributed with SIESTA package.Files pdos.mpr are inputs for the mprop program distributed with SIESTA package. They define PDOS series used in related publication.Files cohp.mpr are inputs file for the mprop program distributed with SIESTA package. They define series for COHP analysis used in related publication.</p
Exploring the link between inflammation and brain function after metabolic-bariatric surgery: A year-long fMRI study
No full textThis dataset originates from a longitudinal observational study investigating the interplay between inflammation and brain function following laparoscopic sleeve gastrectomy (LSG). It includes raw neuroimaging data and extensive clinical and biochemical metadata from 36 participants assessed at three time points:1 week before surgery (Session 1)3 months after surgery (Session 2)12 months after surgery (Session 3)Contents:1. Raw neuroimaging data (NIfTI format) - Structural MRI: T1-weighted anatomical scans - Functional MRI: 5-minute resting-state scans (TR = 2.5s, 120 volumes)2. Spreadsheet (BAR22_DOM.xlsx) This Excel file includes:- Participant demographics: age_y, female_gender- Comorbidities: type_2_diabetes, hypertension, hypothyroidism, insulin_resistance, depression- Metabolic measures: HDL_baseline_mgdl, triglycerides_mgdl, HOMA_IR, etc.- Cytokine levels: IL-6 and IL-10 values and derived metrics such as:- IL_6_by_IL10, IL_10_by_IL6- Log-transformed ratios (e.g., IL_6_by_IL10_log)- Baseline-normalized cytokine ratios- Session information: Each row corresponds to a subject-session pair (Subject, Session)</p
Rzecin Peatland Ecosystem: Carbon, Water & Energy Dynamics (2022-2023)
No full textOverviewThis dataset contains fluxes from the Eddy Covariance (EC) system and meteorological data, collected at the PolWET peatland site in Rzecin, Poland (52°45′N, 16°18′E, 54 m a.s.l.). The PolWET site is run by Poznan University of Life Sciences (PULS). The data encompasses a range of atmospheric and surface flux variables critical for understanding the interactions between the peatland ecosystem and biophysical drivers. The dataset is particularly valuable for research on ecosystem-atmosphere interactions, including carbon sequestration, evapotranspiration, and energy balance in wetlands.Eddy Covariance (EC) dataThe Eddy Covariance (EC) dataset from the PolWET site provides high-frequency, continuous measurements of various atmospheric data and surface fluxes, collected over the period 2022-2023. The data was recorded with Infrared gas analyzer LICOR LI7200 with temporal resolution of 10Hz and were then averaged to 30 minutes resolution data points. The consecutive measurements were takin with meteorological sensors, averaged to the same temporal resolution. The following variables are comprising the EC dataset:Air Temperature (°C)CO2 flux (μmol m-2 s-1)Evapotranspiration (ET) (mm h-1)Sensible heat flux (H) (W m-2)Latent heat flux (W m-2)Relative Humidity (RH) (%)Vapor Pressure Deficit (VPD) (Pa)Wind Direction (DEG)Wind Speed (m s-1)The Eddy Covariance (EC) data includes the following files:air_temperature (C)_YYYY.xlsxET_YYYY.xlsxco2_flux_YYYY.xlsxH_YYYY.xlsxLE_YYYY.xlsxVPD_YYYY.xlsxRH_YYYY.xlsxwind_dir_YYYY.xlsxwind_speed_YYYY.xlsxShort-gap filled Eddy Covariance (EC) dataThe EC data underwent post-processing to ensure its quality. Initially, outliers were removed using a filter that compared each 30-minute value with its mean and standard deviation, eliminating inconsistent records (Bi et al. 2007; Borges et al. 2020; 2024).After this filtering step, we applied a gap-filling process for short data gaps using linear interpolation. This was applied to a maximum of 5 consecutive missing records of 30-minutes values, considering the closest available neighboring values, and therefore ensuring that only short-term data gaps were corrected (Bi et al. 2007; Lucas-Moffat et al., 2022). Note that the gaps longer than 5 consecutive data points were not filled in.Short-gap filled Eddy Covariance (EC) data includes the following files:Gapfilled_air_temperature (C)_YYYY.xlsxGapfilled_ET_YYYY.xlsxGapfilled_co2_flux_YYYY.xlsxGapfilled_H_YYYY.xlsxGapfilled_LE_YYYY.xlsxGapfilled_VPD_YYYY.xlsxGapfilled_RH_YYYY.xlsxGapfilled_wind_dir_YYYY.xlsxGapfilled_wind_speed_YYYY.xlsxEC data availability before and after short-gap fillingTo assess data completeness we quantified the percentage of EC data available before and after the filtering and short-gap filling for each variable. We initially calculated the percentage of initially available data and, after applying the filtering and linear interpolation, we recalculated this percentage.The results highlight how gap filling improves data availability, especially in months with short interruptions, ensuring the reconstruction of short-term missing records and preserving the integrity of the dataset in this context. The full analysis is available in the repository.The EC data availability includes the following files:EC_data_integrity_YYYY.txtMeteorological and environmental dataThe precipitation data (Rain; mm) were averaged at 30 minutes for 2 replicated sensors, indicated by indexes 1 and 2. Likewise, the net radiation (Rn; W m-2) was available for both sensors 1 and 2. Environmental data related to the peatland surface motion (Peat Movement; cm) are also provided.The results of the calculations of aerodynamic conductance (Ga; m s-1), canopy conductance (Gc; m s-1), and decoupling coefficient (Ω; dimensionless) are provided. The equations used for calculations of those parameters are given in Speranskaya et al (2024) and Carneiro et al. (2025).Rain Total 1 (mm)Rain Total 2 (mm)Rn 1 (W m-2)Rn 2 (W m-2)Peat Movement (cm)Ga (m s-1)Gc (m s-1)Ω (dimensionless)The Meteorological and environmental data includes the following files:Ga_YYYY.xlsxGc_YYYY.xlsxRn_1_YYYY.xlsxRn_2_YYYY.xlsxRain_Total_1_YYYY.xlsxRain_Total_2_YYYY.xlsxPeat_Movement_YYYY.xlsxOmega_YYYY.xlsxFile InformationThe data is stored in Excel format (.xlsx), except the EC data availability stored as ASCII files (.txt). Reading data in this format requires access to Microsoft Excel software, which is a proprietary software. Data can be also accessed with open software, e.g. Python, LibreOffice.ReferenceBi, X., Gao, Z., Deng, X., Wu, D., Liang, J., Zhang, H., Sparrow, M., Du, J., Li, F., Tan, H.,2007. Seasonal and diurnal variations in moisture, heat, and CO2 fluxes over grassland in the tropical monsoon region of southern China. Journal of Geophysical Research Atmospheres 112, 1–14. https://doi.org/10.1029/2006JD007889.Borges, C.K., Carneiro, R.G., Santos, C.A., Zeri, M., Poczta, P., Cunha, A.P.M.A., Stachlewska, I.S., dos Santos, C.A.C., 2024. Partitioning of water vapor and CO2 fluxes and underlying water use efficiency evaluation in a Brazilian seasonally dry tropical forest (Caatinga) using the Fluxpart model. J. S. Am. Earth Sci. 142, 104963. https://doi.org/10.1016/j.jsames.2024.104963.Borges, C.K., dos Santos, C.A.C., Carneiro, R.G., da Silva, L.L., de Oliveira, G., Mariano, D., Silva, M.T., da Silva, B.B., Bezerra, B.G., Perez-Marin, A.M., de, S., Medeiros, S., 2020. Seasonal variation of surface radiation and energy balances over two contrasting areas of the seasonally dry tropical forest (Caatinga) in the Brazilian semi-arid. Environ. Monit. Assess. 192. https://doi.org/10.1007/s10661-020- 08484-y.Carneiro, R. G., Rykowska, Z., Borges, C. K., Stachlewska, I. S., & dos Santos, C. A. C. (2025). Energy balance and Evapotranspiration response to environmental variables in the semi-arid Caatinga biome. Journal of South American Earth Sciences, 152(105319), 105319. doi:10.1016/j.jsames.2024.105319.Lucas-Moffat, A. M., Schrader, F., Herbst, M., & Brümmer, C. (2022). Multiple gap-filling for eddy covariance datasets. Agricultural and Forest Meteorology, 325(109114), 109114. doi:10.1016/j.agrformet.2022.109114.Speranskaya, L., Campbell, D. I., Lafleur, P. M., & Humphreys, E. R. (2024). Peatland evaporation across hemispheres: contrasting controls and sensitivity to climate warming driven by plant functional types. Biogeosciences, 21(5), 1173–1190. doi:10.5194/bg-21-1173-2024.AcknowledgmentsThe quality assurance and check of the published dataset was done within the National Science Centre, Poland, Weave-UNISONO programe (AEROPAN, G.A. no. 2021/03/Y/ST10/00206).We acknowledge that data curation was done within the European Commission's Horizon 2020 program (RI-URBANS G.A. No. 101036245).The PolWET site acknowledges support of Ministry of Science and Higher Education (MNiSW) under agreement no. UMOWA nr. 2024/WK/04(D-UMO25/24).ATTENTION:We offer a free access to this dataset. The user is however encouraged to share the information on the data use by sending an e-mail to rslab@fuw.edu.plIn the case this dataset is used for a scientific communication (publication, conference contribution, thesis) we would like to kindly ask for considering to acknowledge data provision by adding the following statement in Acknowledgments: "We acknowledge the data originators C.K. Borges, P. Poczta, and I.S. Stachlewska for the quality-assurance, evaluation, and provision of data sets."</p
Wykaz otwartych danych badawczych artykułu „Bring Them Home”
No full textWykaz otwartych danych badawczych artykułu „Bring Them Home”.</p
Effect of mixed systems including bio-surfactants on foam formation and stability
No full textNumerous studies have focused on finding environmentally friendly substitutes for commonly used petrochemical-based compounds. Our study explores the potential use of poly-L-lysine/rhamnolipids and poly-L-glutamic acid/ethyl lauroyl arginate mixtures, for foam formation and stabilization. Our results demonstrate that adding polyelectrolyte to an oppositely charged surfactant primarily induces a synergistic effect, enhancing foaming properties and extending foam lifetime, mostly due to improved stability and slower drainage of thin foam films in systems containing synthetic polypeptides. The attached dataset presents data on electrokinetic potential, surface tension, foamability and foam stability as well as drainage kinetics of single foam film (lifetime and thickness time evolution) determined in solutions of poly-L-lysine, rhamnolipids, poly-L-glutamic acid and ethyl lauroyl arginate and their various mixtures.</p
The influence of PEO process parameters on the mechanical and sclerometric properties of coatings on the ultralight magnesium alloy LA141
No full textThe deposited data comes from research on the effect of key manufacturing process parameters (peak current density and frequency) on the micromechanical and sclerometric properties of oxide coatings produced by plasma electrolytic oxidation (PEO) on an ultralight LA141 magnesium alloy in an alkaline ternary electrolyte.The dataset includes the following categories of measurements and corresponding instrumentation:Coating thickness measurements:Consecutive measured values, as well as average values and standard deviations for each combination of process parameters. Measurements were performed using a Fischer Dualscope MP40 contact eddy current tester (Helmut Fischer GmbH + Co. KG, Sindelfingen, Germany). Each sample was measured at ten points, and the mean coating thickness with standard deviation was calculated.Microhardness measurements:The micromechanical surface coating properties were determined using a Micro Combi Tester MCT3 (Anton Paar, Corcelles-Cormondrèche, Switzerland) equipped with a Vickers diamond indenter (V-M 86). Tests were conducted in accordance with ISO 14577, using the Oliver–Pharr method to calculate hardness (HIT) and Young’s modulus (EIT). Eight impressions were made on each sample, with distances between them set at 100 µm in both x and y axes.Sclerometric (scratch test) parameters:Scratch resistance was evaluated using the Micro Combi Tester MCT3 (Anton Paar, Switzerland) following ISO 19252, ISO 20502, ASTM C1624, and ASTM D7027 standards. A diamond Rockwell indenter (100 μm radius) was employed. The test load increased linearly from 0.03 N to 6 N over a scratch length of 6 mm at a speed of 12 mm/min.The following characteristic critical loads were determined:Lc1 – initiation of Hertzian tensile cracks (onset of coating deformation),Lc2 – onset of visible or cohesive coating damage,Lc3 – complete coating delamination.During testing, load (Fn), friction force (Ft), and indenter penetration depth (Pd) were continuously recorded.Surface roughness and profilometric parameters:Surface roughness parameters Sa and Sz were determined based on profilometric scanning performed using a Form TalySurf Series 2 50i contact profilometer (Taylor Hobson Ltd., Leicester, UK). Three-dimensional scans of the scratch area were obtained using a contact profilometer with a motorized Y-axis stage (Taylor Hobson, Leicester, England). The data were analyzed and visualized using TalyMap 3.2 software (Digital Surf, Besançon, France), including axonometric 3D projections and 2D profiles.Surface morphology and elemental composition (complementary data):Surface morphology was analyzed using a Hitachi S-4700 scanning electron microscope (Hitachi, Tokyo, Japan) at ×1000 magnification. Elemental composition was evaluated via Energy Dispersive X-ray Spectroscopy (EDS) using a Noran Vantage system (Hitachi, Tokyo, Japan) integrated with the SEM.Data were collected within a full factorial experimental design including two independent factors: peak current density and frequency, each at three levels, allowing for statistical analysis of the relationships between process parameters and coating properties. Statistical computations and model fitting were performed using Statistica 13 software (TIBCO Software Inc., San Ramon, CA, USA).</p
Self-regulation, school stress and school well-being in adolescents
No full textData file: Self-reg_stress_school_wellbeing.savFormat: SPSS (.sav)Number of observations: 692Number of variables: 19Dataset Content and StructureThis dataset contains individual-level and classroom-level data on school stress, self-regulation, and student well-being. The variables include:Demographic data (e.g., sex, grade)Self-regulation measures (emotional, behavioral, and cognitive regulation)School stress indicators (academic, peer, and teacher-related stress)School well-being scales (joy of learning, academic efficacy, relationships with teachers and peers)MethodologyThis dataset was collected as part of a study examining the role of self-regulation as a mediator and moderator in the relationship between school stress and student well-being. The data enable a multilevel analysis of how stress on individual and classroom levels is associated with student well-being. The study used a multilevel approach (HLM), analyzing both individual and classroom-level factors.Study DetailsDate of data collection: June 5-6, 2024Sampling method: Students from public primary schools in a medium-sized city in PolandData collection method: Computer-Assisted Web Interviewing (CAWI) conducted in school IT labs under supervisionEthical approval: Research Ethics Committee at the Faculty of Education, University of Warsaw (No. 2024/2)Note: Please consult the readme.txt file for additional information on variables, coding, and research methodology.</p
Raw data for a coarse-grained simulation of the association of selected tri-heptapeptides in UNRES
No full textThis set contains data fr the related article.It contains files xy_aggregation.dat (e.g., kffd_aggregation.dat), with the temperature in the first column and the fraction of monomer, dimer, ..., 320-mer in the subsequent columns [f_m of Equation (2)]and the PDB files of all 5 clusters for each system obtained at temperatures 270, 290, and 310 K in UNRES representation. The oligopeptide sequence and temperature at which clustering was carried out are parts of filenames, e.g., kffd_wham_last_T290K_ave.pdb.See readme.txt for details.</p
Qualitative research on employee-driven innovation
No full textThe set contains anonimized data from qualitative research focused on the exploration of the EDITRANSOR phenomenon - Transformation of Employee-Driven Innovation (EDI) into Organiztional Routine (OR).The data is based on narratives of the interviewees, who constituted primary source of information. The primary data consists of transcribed interviews. Due to confidentiality agreements, the primary data cannot be revealed.The interviewees were employed in 2 companies, named for the reasearch purpose as: the Building Company (BC) and the Food Company (FC). The BC operates in fields as road, bridge, hydrotechnical construction, railway and aviation infrastructure. Their primary unit of business is contract; approximate number of employees was 5 000 in 2023. The BCEDI-programme enables employees to submit ideas for incremental improvements, as well as for innovations on a broader scale. The FC was established as private-owned enterprise in 1989, began production in 2004 and was acquired in 2023 by German food production company. The company employs around 2 500 people and operates four production facilities in Poland. The interviewees represented different areas of work. All of them were involved in the EDI transformation into OR, although in different roles.The unit of analysis was single implemented EDI that transformed into organizational routine. Employees chose which example of such EDI transformed into OR they wanted to describe and discuss.The set relies on 14 individual semi-structured interviews conducted in May 2022 (BC) and in May 2023 (FC). Each interview lasted approximately 60 minutes.The set also contains data from secondary sources of information: (1) delivered by the organization and (2) publicly available (online).All the materials (primary and seconday sources) were analysed using MaxQDA2022 software.Attached you will find 2 documents: interview in Polish and table with anonimized information on interviewees (containing their work area, job post and sex).</p
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