Mendeley Data Showcase

The files include: Source Data Figure 5J Raw OD₆₀₀ readings over 30 h at 37 °C under microaerophilic and anaerobic conditions. Source Data Figure 5K Ct values and relative expression (2^–ΔΔCt) of genes related to translation of N. elongata under anaerobic versus microaerophilic conditions. Source Data Figure 6F Ct values and relative expression (2^–ΔΔCt) of genes related to oxidative stress defense, signal transduction, and gingipain proteases of P. gingivalis under anaerobic versus microaerophilic conditions. Source Data Figure S1 Bacterial counts in each square for each sample. Source Data Figure S2D Spearman R and p values for genus-level correlations between scRNA-seq and metagenomic profiles. Source Data Figure S6K Ct values and relative expression (2^–ΔCt) of genes related to adhesion, T6SS, and nitrate respiration of N. elongata under anaerobic versus microaerophilic conditions. Source Data Figure S7H Ct values and relative expression (2^–ΔΔCt) of genes related to peptidase-related genes of P. intermedia under anaerobic versus microaerophilic conditions. Source Data Figure S8D Ct values and relative expression (2^–ΔΔCt) of genes related to arginine utilization of P. gingivalis under anaerobic versus microaerophilic conditions.

The given research data comprise results of percolation experiments with the Bavarian bentonite Calcigel (B25), Friedland clay (FRT) and Opalinus clay (OPA) at temperatures between 35 °C and 150 °C. Particularly, the final degree of saturation, the swelling pressure evolution, liquid permeability and porosity (mercury intrusion porosimetry, MIP) were measured and are provided in the given data sheets. The results, except the MIP data, were obtained at the GRS gGmbH (Braunschweig, Germany) in the frames of the research project "Thermische Integrität von Ton und Tonsteinen - Experiment und gekoppelte THMC-Simulationen" (THMC-Sim) carried out by Dr Artur Meleshyn and Dr Matthias Hinze and funded (grant number 45185358) by the Site Selection Division of the Bundesgesellschaft für Endlagerung mbH (represented by Head of Department Safety Investigations PD Dr Wolfram Rühaak, project support Merle Bjorge). The MIP data were obtained by Dr Neven Ukrainczyk and Dipl.-Ing. (FH) Yvette Schales at the Institute of Construction and Building Materials of the Technical University of Darmstadt (Germany) and provided to GRS gGmbH by Dr Lan Nguyen-Thanh within the framework of the sub-contract ‘Analysen_THMC-Sim’ (order number 3573 – 45185358 – AN430020). These data were used by Artur Meleshyn, Matthias Hinze, Marvin Middelhoff, Larissa Friedenberg, and Kyra Jantschik to prepare the scientific report "Thermische Integrität von Ton und Tonsteinen - Experiment und gekoppelte THMC-Simulationen (THMC-Sim)", which provides a detailed account of the experimental concept and derivation of data. The report can be downloaded from https://www.grs.de/de/aktuelles/publikationen/grs-787.

Fish Aggregating Devices (FADs) are man-made objects designed to attract fish, with the aim of facilitating spatially heterogeneous aggregations of marine species. These objects influence the structure of pelagic fisheries, consequently affecting fish distributions and interactions. One of the most iconic epipelagic species targeted using FADs is dolphinfish (Coryphaena hippurus), which has high commercial value in the Mediterranean Sea. However, the interactions between dolphinfish and FADs are still poorly understood, and the composition of fish assemblages attracted to these devices remains poorly characterized. Environmental DNA (eDNA) metabarcoding has emerged as a powerful tool for fisheries management. Here, we employed passive eDNA samplers (i.e., metaprobes) to collect information on the fish assemblages around five FADs in Maltese waters during a dolphinfish fishing day in January 2023. Samples were gathered during different diel phases: three stations were sampled in the diurnal phase, while two were sampled during the crepuscular-evening phase. Through the amplification of the mitochondrial 12S gene region (Elas02 primers), we explored the relationship between C. hippurus caught biomass (kg) and transformed read counts, and investigated the composition of fish assemblages associated with FADs. A positive relationship was found between eDNA transformed read counts of dolphinfish and their biomass (linear regression model, R2 = 0.62, p < 0.05). Fish assemblages attracted by FADs were found to significantly change between diurnal and crepuscular-evening phases. Moreover, the Indicator Species Analysis identified four species as being indicative of the crepuscular-evening phase (D. rafinesquii, H. benoiti, H. hygomii and L. pusillus). The SIMPER test identified seven species as the main contributors to variations in dolphinfish caught biomass. Of these, four species (S. pilchardus, T. trachurus, E. encrasicolus and C. labrosus) showed a significant relationship between their transformed read counts and dolphinfish caught biomass. Despite the small number of samples, this study highlighted the potential of low-cost passive eDNA collection to assess the composition of pelagic fish assemblages around FADs. This improves our understanding of the ecological dynamics around these fishing gears and helps to optimise fishing efficiency, thereby promoting sustainable fisheries management strategies.

This dataset contains hydrochemical and isotopic data for river water and groundwater from typical suspended river areas in the lower Yellow River.

In this study, we hypothesized that an instructional model integrating artificial intelligence assisted case based learning with a flipped classroom would outperform traditional lecture based instruction in enhancing clinical knowledge, decision making skills, and learning engagement among reproductive medicine residents. To test this, fifty eligible obstetrics and gynecology residents were randomly assigned to either the AI assisted CBL and flipped classroom group or a traditional control group. Data were collected through standardized theoretical knowledge examinations, Mini Clinical Evaluation Exercise assessments, and Objective Structured Clinical Examinations administered after the intervention, as well as learner feedback surveys using a five‑point Likert scale on motivation, clinical thinking, self directed learning, and perceived course effectiveness. The results demonstrated that participants in the AI assisted group achieved significantly higher post course theoretical test scores compared with controls, indicating superior knowledge acquisition. Objective clinical assessments showed that the AI assisted group also exhibited markedly better performance in medical interviewing, physical examination, and overall clinical competence, reflecting improved practical abilities and decision making in simulated clinical scenarios. Furthermore, subjective evaluations revealed greater improvements in learning motivation, development of clinical thinking, and self directed learning in the AI assisted group, suggesting that this instructional model enhanced learner engagement and intrinsic motivation. These findings support the interpretation that the AI assisted CBL and flipped classroom format facilitates deeper integration of theoretical knowledge with clinical application, promotes active learning, and accelerates the development of essential clinical competencies. Collectively, the data provide evidence for the adoption of technology supported, learner centered teaching strategies in reproductive medicine education and offer a foundation for future instructional design and broader implementation.

Chemical analysis of acid waters and RX ferricrete samples coming from the weathering of Pyrite

For Journal Dataset storage

This dataset contains raw experimental data supporting the study on the synergistic effects of Bacillus amyloliquefaciens and Trichoderma harzianum on saline soil aggregation. The file includes data for soil aggregate stability (WMWD, LMA), extracellular polymeric substances (EPS) components, and microbial gene abundance (qPCR) from a 180-day incubation experiment.

This dataset constitutes the replication package for the study “Does the Rural E-Commerce Demonstration Program Alleviate Agricultural Factor Misallocation? Evidence from 1,007 Counties in China”. The package contains a county-year panel for 1,007 Chinese counties from 2007 to 2021, along with the corresponding code scripts to reproduce all main empirical results. These include the baseline staggered Difference-in-Differences estimates, event-study diagnostics, robustness checks, mechanism analyses, heterogeneity analyses, and spatial spillover tests. Key variables provided are: (i) Treatment indicators for the Rural E-commerce Demonstration Program, including its staggered implementation timing. (ii) The primary outcome measure(s) for agricultural factor misallocation. (iii) A set of county-level control variables, including key macroeconomic and demographic covariates. (iv) Variables measuring the proposed mechanisms, namely entrepreneurship and industrial agglomeration.

This data is about the internal auditor as respondent who assessment their whistleblowing intention