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Conflicting phylogenetic signals obscure the taxonomic position of Ferula heuffelii (Apiaceae), a rare Southeast European endemic.
No full textConflicting phylogenetic signals obscure the taxonomic position of Ferula heuffelii (Apiaceae), a rare Southeast European endemic.Marcin Piwczyński, Mergi Daba Dinka, Paulina Trzeciak, Kinga Walczak, Radosław Puchałka, John Soghigian and Krzysztof SpalikDescription of the data and file structureWe provide alignments and trees for three datasets that allow for the reproduction of all phylogenetic analyses described in the manuscript:1. ETS_ITS: These files contain the alignment of 42 species of Ferula and an outgroup of ETS+ITS markers in Phylip format, along with the partition file. Additionally, two phylogenetic trees from maximum likelihood (RAxML) and Bayesian analyses (MrBayes) of this dataset are provided in Newick and Nexus formats, respectively. Optimal partitioning schemes and substitution models for these analyses were inferred with PartitionFinder, and the results are provided in Supporting Information, Table S2.2. rpoC1_rpoB_trnC_rps16: These files contain the alignment of 42 species of Ferula and an outgroup of three plastid markers (rps16 and rpoC1 introns and the rpoB-trnC intergenic spacer) in Phylip format, along with the partition file. Similar to the ITS and ETS case, maximum likelihood and Bayesian trees are also provided. Optimal partitioning schemes and substitution models for these analyses were inferred with PartitionFinder, and the results are provided in Supporting Information, Table S2.3. Plastome: These files contains three alignments in Phylip format with respective partition files—proteins (comprising CDS), introns, and intergenic spacers. The corresponding phylogenetic trees from the analysis of these alignments are included. Additionally, the BI and ML trees from analyses of combined datasets (proteins+introns+intergenic spacers) are also included. Optimal partitioning schemes and substitution models for these analyses were inferred with PartitionFinder, and the results are provided in Supporting Information, Table S2.</p
Microbiome response to cadmium and copper in Steatoda grossa (Theridiidae) spiders
No full textThe dataset associated with the publication titled "Microbiome Response to Cadmium and Copper Ingestion in the Spider Steatoda grossa (Theridiidae): Short-Term and Long-Term Effects of Metal Intoxication” was funded by NCN.The project presents data on the quantitative and qualitative changes in the microbiome of the opisthosoma of Steatoda grossa (Theridiidae) spiders in response to copper and cadmium exposure through prey (Drosophila hydei).The collected data cover:Metal concentrations in spider bodies after short-term (4 weeks) and long-term (12 months) exposure.The composition of the opisthosoma microbiome in control individuals.Characteristics of changes in the microbiome’s qualitative and quantitative structure due to the presence of metals in the diet, depending on the duration of exposure.Analysis of species diversity in the microbiome in relation to the type of metal used for diet contamination.DNA was isolated using the QIAamp DNA Microbiome Kit (Qiagen). Genomic DNA (gDNA) was further purified with the Monarch Genomic DNA Purification Kit (NEB). Its quality was checked using D1000 Screen Tapes and the Tape Station 2200 (Agilent). DNA libraries were prepared following Illumina’s 16S Metagenomic Sequencing Library Preparation protocol. Amplification was performed with KAPA HiFi HotStart ReadyMix (Roche) on a SureCycler 8800 (Agilent). Library quality and quantity were assessed with D1000 Screen Tapes (Tape Station 2200, Agilent) and Qubit dsDNA High Sensitivity Kit (Thermo Fisher). Libraries were pooled in equimolar ratios and sequenced (2 × 250) on the Illumina MiSeq platform. Raw sequence data are available in the NCBI SRA database under BioProject accession number PRJNA1180465.The sequences were assembled into contigs and processed using Mothur 1.44 software. They were filtered for size, quality, homopolymer length, and nucleotide ambiguity, then aligned to the SILVA 1.38 database.</p
Rural crime in Poland
No full textThe dataset contains data generated within the research project “Rural Crime in Poland”, carried out in the years 2022–2025 (the project has been extended by one year and is still ongoing). The project is led by Dr. Emilia Jurgielewicz-Delegacz and is funded by the National Science Centre, Poland (NCN) under the SONATA 17 grant, no. 2021/43/D/HS5/01645.The aim of the project is to diagnose the phenomenon of rural crime in Poland, to determine its scale, dynamics, and structure, as well as to identify the etiological determinants of criminal behavior occurring in rural areas. The research also seeks to gain a deeper understanding of rural residents’ attitudes toward crime and crime prevention.To complement and verify information obtained from rural residents and to include diverse perspectives, qualitative research was also conducted among experts and local practitioners working in rural areas.Research questionsWhat types of crimes do inhabitants of rural areas in Poland face most often?What is the scale and extent of the dark figure of crime in rural areas?What are the etiological determinants of crimes committed in rural areas?What are the distinctive characteristics of crimes committed in rural areas?How has rural crime changed over time?What are the opinions of rural residents about social control in their communities?What is the role of informal social control in rural areas?Methodology1) Quantitative study – Diagnostic survey (victimization survey)Population:Residents aged 18 and over living in rural areas in Poland. Rural areas were defined as rural communes (gminy wiejskie) and the rural parts of mixed urban-rural communes (gminy miejsko-wiejskie), excluding the towns located within such communes.Sample:The survey was based on a nationwide, stratified random-quota sample. The sampling procedure was multi-stage (three steps):Random selection of communes, then localities within communes, and starting addresses.Allocation of demographic quotas (sex, age, education) proportionally to the structure of the rural population.Selection of individual respondents using the random-route method, with one interview per address.The final sample consisted of n = 1,006 respondents. This number refers to effectively realized interviews, i.e. completed in full and positively verified during fieldwork and post-fieldwork quality control.Stratification and quotas:Cross-stratification: sex (2 categories), age (6 cohorts), education (3 levels) – 36 strata in total.Marginal stratification: region (16 voivodeships) and rurality/peripherality (based on DEGURBA classification, types 2 and 3).Population data from the 2021 National Census were used as a basis for setting quotas.Fieldwork:The survey was conducted at the turn of 2023 and 2024 (December 2023 - January 2024) through face-to-face, in-home interviews using CAPI (Computer-Assisted Personal Interviewing). Interviewers visited addresses selected by the random-route procedure and selected one eligible respondent per address according to the assigned sex and age quota. Where more than one eligible person was present, the Kish grid was used.2) Qualitative study – Focus Group Interviews (FGIs)Selection of locations:The procedure for selecting locations for qualitative research consisted of the following steps:Identification of key geographic clusters with distinct crime characteristics, based on available secondary data.Selection of several representative cases within these clusters.Selection of specific locations (rural or mixed urban-rural communes) within these areas where the qualitative research would be conducted.Participants:Participants in the focus group interviews included:police officers,social welfare center employees,probation officers, teachers, and school counselors,village heads (sołtysi), members of volunteer fire brigades (OSP), and local NGO representatives,healthcare workers and members of rural women’s associations (Koła Gospodyń Wiejskich).A total of 10 focus group interviews (FGIs) were conducted across Poland, with an average of 5 participants per group.The interviews were conducted in March - April 2024 based on a standardized FGI guide.The dataset will be systematically expanded as subsequent stages of the project are completed.</p
The stability and derivative formation processes of phytosterols in PEGylated liposomes
No full textMorphological characterization of liposomes with stigmasterol and its esters with myristic and oleic acid. Results of thermo-oxidative degradation of stigmasterol and fatty acids, along with the identification of the resulting oxidized derivatives.</p
Enhanced killing of colon cancer cells by mesoporous silica nanoparticles loaded with ellagic acid
No full textAbstract: Natural compounds, including ellagic acid (ELG), have potentially a great antitumor efficacy with low adverse effects. However, their efficacy needs to be improved Nanotechnology permits to create nanoparticles as natural drug carriers and improve their in cancer therapy. We report an inorganic-organic nanostructure composed of mesoporous silica nanoparticles (MSN) functionalized with triptycene (TRP) and loaded with ELG, further called MSN-TRP-ELG nanoformulation. The nanoformulation contained over 11 wt.% TRP and approximately 25 wt.% ELG. It was tested for anticancer effects against two colon cancer cells: HCT-116 and HT-29 for treatment with up to 200 µM. Comparing to free ELG, we have shown a 3 times higher cancer inhibition. The lowest IC50 values were for HCT-116 (88.1±0.1 µM) and HT-29 (77.6±0.1 µM). When treated with free ELG the values were 187.1±0.10µM, and 300.0±0.07 µM, respectively. MSN-TRP-ELG enhanced cell death apoptosis primally via activating caspase-3, p53 and Bax. It also inhibited receptor tyrosine kinases (HER2 and VEGFR2) and upregulated Bcl-2 in HCT-116 and HT-29 cells. An important finding was that B-RAF CRAF and K-RAS were inhibited. The expression of B-RAF, C-RAF, and K-RAS oncogenes was also highly inhibited by the nanoformulation compared to free ELG. This research confirms the potential of nanomedicine for enhancing the efficiency in application of natural prodrugs, and in. particular ELG in cancer therapy and opens the way for further preclinical research.</p
Data for publication: Sensitivity analysis of wavy wall performance in turbulent separation control: Effects of amplitude and period variations
No full textDataset related to publication: Numerical analysis of novel wavy wall based control of turbulent boundary layer separation. The dataset contains the LES and experimental data from related publication. The LES results are obtained with ANSYS Fluent employing WALE model.The research was carried out as part of project No. 2020/39/B/ST8/01449, financed by the National Science Centre (Poland).For details on .plt file format please refer to the Tecplot documentation: https://www.tecplot.com/2016/09/16/tecplot-data-file-types-dat-plt-szplt/The links of files to particular figures from the related publication are written in metadata of files.</p
Supplementary data for the article "Application of the Heavy-Atom Effect for (Sub)microsecond Thermally Activated Delayed Fluorescence and an All-Organic Light-Emitting Device with Low-Efficiency Roll-off"
No full textFiles contain density functional theory calculation results for the emitters described in the publication.</p
Experimental data on laser characterization and imaging performance of a nanosecond dissipative soliton resonance fiber laser for multiphoton microscopy
No full textThe following files include data presented in the manuscript “Evaluation of a nanosecond dissipative soliton resonance fiber laser for multiphoton microscopy,” written by Katarzyna Kunio, Piotr Bojęś, Grzegorz Soboń, Karol Krzempek, and Jakub Bogusławski.Fig. 2a - Characterization of the DSR oscillator: optical spectra at four pump powers and pulse durations (1-4 ns)Fig. 2b - Characterization of the DSR oscillator: fundamental beat note in the RF spectrum (measured at 1 ns pulse duration)Fig. 2c - Characterization of the DSR oscillator: pulse train oscilloscope trace (measured at 1 ns pulse duration)Fig. 2d - Characterization of the DSR oscillator: pulse profiles at four different pump powers showing duration variation from 1 to 4 nsFig. 2e - Characterization of the DSR oscillator: output average and peak powers at different pump powersFig. 2f - Characterization of the DSR oscillator: RF spectral evolution with pump power and pulse duration variationsFig. 3a - DSR laser stability analysis: pulse duration distribution histograms showing pulse duration jitterFig. 3b - DSR laser stability analysis: long-term power stability over timeFig. 5a - Analysis of pulse duration effects on two-photon imaging at constant repetition rate and average power: TPEF images of convallaria majalis at increasing pulse durations (scale bars: 100 µm)Fig. 5b - Analysis of pulse duration effects on two-photon imaging at constant repetition rate and average power: pulse duration and normalized two-photon responseFig. 5c - Analysis of pulse duration effects on two-photon imaging at constant repetition rate and average power: measured PMT signal from images and theoretical relationshipFig. 6a - Analysis of pulse duration effects on two-photon imaging at constant repetition rate and peak power: TPEF images of convallaria majalis at increasing pulse durations (scale bars: 100 µm),Fig. 6b - Analysis of pulse duration effects on two-photon imaging at constant repetition rate and peak power: pulse duration and normalized two-photon responseFig. 6c - Analysis of pulse duration effects on two-photon imaging at constant repetition rate and peak power: measured PMT signal from images and theoretical relationshipFig. 7a - Comparison of TPEF images of convallaria majalis obtained at the similar repetition rate of 2 and 1.9 MHz using: the DSR laser generating 1 ns pulses with an average power of 7.5 mW at the sampleFig. 7b - Comparison of TPEF images of convallaria majalis obtained at the similar repetition rate of 2 and 1.9 MHz using: the femtosecond laser generating 39 fs pulses with an average power of 0.26 mW at the sample</p
Experimental and theoretical band alignment study of MPS3 (M = Mn, Fe, Co, Ni) for designing tailored 2D heterostructures
No full textFiles include the data presented in the manuscript entitled: "Experimental and theoretical band alignment study of MPS3 (M = Mn, Fe, Co, Ni) for designing tailored 2D heterostructures" by D. Majchrzak et al. (https://doi.org/10.1038/s41699-025-00578-w)Figure 1. a Mounting of NiPS3 sample on a molybdenum plate using silver paste. b The sample is exfoliated under ultra-high vacuum conditions. Adhesive tape is affixed to the side of the preparation chamber, and the forward motion of the transfer arm allows for the exfoliation process. c Wide XPS spectrum and d high-resolution XPS spectra of S-2p, Ni-2p, and P-2p core level lines for exfoliated NiPS3 relative to the valence band maximum.Figure 2. a UPS spectra relative to the vacuum level, measured using He I photons (hν = 21.2 eV) for all studied and exfoliated MPS3. Gray dashed lines represent experimentally determined values of ionization potential. b Room temperature optical absorption spectra. c The excitation scheme of d–d and charge transfer (CT) transitions for all employed systems. d Schematic band alignment diagram for all studied MPS3 constructed based on a UPS and b absorption results.Figure 3. a Calculation of the vacuum level for all employed systems based on the macroscopic planar average of the Hartree potential for 7-layer slab of MPX3 crystals in the direction normal to the surface. At the top, additional visualization of the geometric structure of the slab. Ionization potential (b–d). Position of the valence band peak relative to vacuum level for b different antiferromagnetic ordering of MnPS3, c as a function of the Hubbard parameter U for MnPS3, d for all employed bulk crystals and monolayers. VB denotes the energy of the valence band maximum.Figure 4. a Visualization of the nearest environment of the transition metal ion (MS6 cluster) with a description of the splittings associated with the crystal field of this cluster. b Density of states with projection onto the transition metal (M), sulfur (S), and phosphorus (P) states. VBM is set to 0. c Calculated band alignments and band offsets for MPX3 bulk crystals, referenced to the vacuum level. The dotted line separates occupied (below) and unoccupied levels (above). Green color represents ligand region (1), while red denotes d states localized and unoccupied above the dotted line (2), and red-green shaded region – d states hybridized with p states below the dotted line (3). d Green and violet lines indicate the energy of d–d transitions (peak maxima, with green areas representing peak widths) and the absorption edge from absorption measurements (see Fig. 2b), respectively. Charge transfer excitation involves electron transfer from ligand states to ion d states, resulting in a ligand-to-metal transition. These transitions are typically more intense than d–d transitions and contribute to a strong absorption onset.Figure 5. a The band alignments with the indicated hydrogen reduction potential and oxidation potential in all pH range (blue areas). b Illustrative band diagram for MnPS3/NiPS3 heterostructure serving as a potential water-splitting system. The numbers (1–3) indicate the initial stages of the process that lead to the water-splitting reaction. (1) The semiconductors MnPS3 and NiPS3 absorb the light and create photogenerated carriers (electrons and holes). (2) Non-radiative interlayer recombination of the electron and hole at the interface (charge transfer – electron located at CBM in NiPS3 is transferred to VBM in MnPS3). (3) Photoexcited electrons in MnPS3 (photocathode) participate in the reduction of protons (H+) to hydrogen gas (H2) (HER), whereas photoholes at the NiPS3 (photoanode) oxidize water molecules, generating oxygen gas (O2).Data was calculated using OriginLab software and in case of XPS/UPS spectra using CasaXPS software.</p
Polska adaptacja Trigger Warning Attitudes Scale: analiza korelacji ze wskaźnikami związanymi z traumą
No full textPLDane zebrane w celu adaptacji Trigger Warning Attitudes Scale na język polski.Zbiór zawiera dwa pliki:1) TWASAdaptation_database.csv - zawierający dane, nazwy zmiennych w 1 wierszu, separator średnik,2) TWASAdaptation_variables.txt - zawierający skrócony opis zmiennych z pliku .csv.ENGData collected for the adaptation of the Trigger Warning Attitudes Scale into Polish.The dataset consists of two files:1) TWASAdaptation_database.csv – containing data, variable names in the first row, semicolon as a separator,2) TWASAdaptation_variables.txt – containing a brief description of the variables from the .csv file.</p
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