Mendeley Data Showcase

Multicomponent geothermometry is a critical tool for estimating subsurface temperatures, but its accuracy can be significantly affected by the crystalline order-disorder state of minerals, which is often inadequately represented in standard thermodynamic databases. This study addresses this limitation by systematically incorporating variably ordered forms of key secondary minerals. We demonstrate that the availability of these forms, characterized by the order-disorder parameter Q, and the ability to select the mineral form with the 'right' degree of order-disorder, leads to substantial improvements in the application and reliability of multicomponent geothermometry. In the dataset, the SUPCRT92 database, the LLNL database of PHREEQC (modified as described in this section 2.1), and All PHREEQC input-out files are given.

This dataset accompanies the manuscript "Does gamification really facilitate learning? An experiment with matching-to-sample" published by Learning and Motivation. It includes two datasets and the R scripts used for data analysis.

To determine age and gender specific reference values, relative and absolute reliability of Single-Leg Hop Test in normal, overweight and obese children Methods: A cross-sectional study was conducted among school-going children between the age of 8 and 15 years. Participants were stratified by age and gender. The test was conducted using standardised procedures, and hop distance was recorded as the primary outcome measure. Age and gender-specific reference ranges were established using descriptive statistics, including mean values and standard deviations (SD) to measure the changes in functional performance. Relative reliability was assessed using the intraclass correlation coefficient (ICC), while absolute reliability was determined using the standard error of measurement (SEM) and minimal detectable change (MDC). Results: A total of 1198 school-going children of age 8-15 years were analyzed. The single leg hop distance demonstrated a progressive increase with age (p < 0.05). Females showed slightly higher values than males, although the difference was not statistically significant (p > 0.05). BMI had a significant effect on right limb performance (p = 0.012), but not left limb performance (p > 0.05). The children reflected age-related improvements in lower-limb strength, balance, and functional ability. For the reliability analysis of Single Leg Hop Test, a separate sample of 166 school-going children across different BMI categories were analysed. Intraclass Correlation Coefficients of 0.99 for right and left leg hop distances (95% CI: 0.987-0.996, p < 0.001) indicated excellent reliability. Conclusion: This study provides age and gender-specific normative reference values for the Single Leg Hop Test in school-going children. The study reported age-related improvements, no significant gender differences, reduced performance with higher BMI, thus supporting its use as a standardized tool for clinical utility in pediatric functional assessment.

Radioactivity in honey from from the Caucasus-Black Sea Transition Zone

This dataset comprises comprehensive clinical, laboratory, socioeconomic, and standardized mental health data for 617 thalassemia patients treated at a major diagnostic center, LABAID LTD., Pabna, Bangladesh. The data were collected through structured face-to-face interviews and medical record reviews between March and June 2025. It includes 24 variables covering demographic characteristics (age, gender, residence, education, income), treatment history (transfusion frequency, iron chelation therapy, splenectomy status), laboratory findings (hemoglobin levels, serum ferritin, and red blood cell indices), and mental health assessment. Mental health status was quantified using the PHQ-9, a validated clinical instrument for assessing depressive symptoms. Each patient’s PHQ-9 score ranges from 0 to 27 and was used to derive a binary mental health classification based on established clinical thresholds, where scores below 10 indicate low risk (Good) and scores of 10 or above indicate clinically significant risk (Bad). Key Features Patient age range: 2 to 60 years, covering pediatric to adult populations. Thalassemia types: Major, Intermedia, and Minor, enabling subtype-specific analysis. Mental health distribution: Approximately 64.83% of patients fall into the “at-risk” category based on PHQ-9 clinical thresholds. Standardized mental health measure: PHQ-9 score (0–27) provides a clinically validated and reproducible outcome variable. Data format: De-identified CSV file (UTF-8 encoded), ensuring privacy and reproducibility. Variable types: A combination of numerical, ordinal, and categorical variables suitable for advanced statistical and machine learning analyses. Ethical Considerations Ethical approval was obtained from LABAID LTD., with informed consent from all participants and guardians for pediatric cases. All data were fully anonymized to ensure confidentiality. Significance This dataset supports analysis of treatment, socioeconomic factors, and mental health in thalassemia patients. By incorporating standardized PHQ-9 data, it enables reliable machine learning research and contributes to personalized care and public health decision-making.

In this randomized controlled crossover study, 30 children aged 4–18 years with PCD underwent ACT with Simeox or PARI O-PEP as the first intervention, then crossed over to the other device after a 3-month interval. The primary outcome was the change in lung clearance index (LCI) measured by nitrogen multiple breath washout test. Secondary outcomes included forced spirometry (FEV1, FVC​, MMEF25−75​) and chest expansions at three thoracic levels.

The DriveNet dataset comprises 11,160 images representing four distinct driving postures. The images were extracted from video recordings of three individuals to ensure robustness and diversity within the dataset. All videos were captured using a Samsung S24 Ultra under identical conditions. The images are stored in .png format with a resolution of 1920 × 1440 pixels. The dataset is categorized into four classes, each containing 2,790 images, representing the following driving postures: lean backward, move backward, sit straight, and right position.

The database of a field experiment on the application of low (30 Mg ha⁻¹) and high (70 Mg ha⁻¹) rates of compost to Albic Retisols at the experimental station in the Moscow Region (mixed forest zone, 55.631902°N, 36.950092°E). The soil property dataset presents the following: pHw measured in suspension, total carbon (C) and nitrogen (N) content, microbial biomass carbon (MBC) and basal respiration rate (BR) for the topsoil (0–10 cm) and subsoil (10–30 cm) layers. Soil sampling was carried out in autumn 2022 and 2023, i.e. five months and one-and-a-half years after the single compost application (June 2022). The experimental design includes: 1 control plot (no compost application) and 2 treated plots (two compost application rates) × 4 plots with different crop systems (aubergine/beetroot, courgette/potato, tomato/courgette, and cabbage/bare fallow in 2022/2023) × 4 replicates × 2 years × 2 soil layers. Thus, the total dataset includes 192 observations. The soil CO2 flux dataset presents values of soil respiration, soil temperature and air temperature measured from June to September 2023 at the study sites. This dataset contains 705 observations.

The teaching of fundamental mathematical functions benefits significantly from innovative, student-centered strategies that bridge abstract concepts with real-world relevance. This study explores how Design Thinking (DT) a structured, iterative problem-solving approach—can be effectively adapted to enhance the teaching and learning of basic mathematical functions in high school. Grounded in the six-phase DT model (Empathize, Define, Ideate, Prototype, Test and Evaluate), the intervention engaged students in authentic, function-based challenges drawn from everyday contexts (e.g., modeling elevator motion with absolute value functions, bacterial growth with exponential functions, or turbine vibration with rational functions). In the Empathize phase, students identified real-life scenarios where mathematical functions apply; in Define, they framed specific problems and researched relevant function types; during Ideate, teams brainstormed mathematical models and solution pathways; in Prototype, they constructed physical or conceptual representations (e.g., homemade thermometers, toy cars, yogurt fermentation setups); Test, they validated their mathematical models and refining their work when inconsistencies appeared and in Evaluate, they refined their mathematical models, received feedback, and refined their understanding.