Mendeley Data Showcase

De Ciuitate Dei is a prose work in 22 books, preceded by a short letter, by Augustine of Hippo. It was written in the 5th century AD. The work describes two societies: one consists of the elect, that is the city of God, whereas the other consists of the damned, that is the city of man. Books 1-10 detail how pagan communities conceived divine powers. Books 11-22 provide a theological interpretation of the history of humankind. The source of the Latin text is The Latin Library (http://www.thelatinlibrary.com/august.html)

Raw data of ‘Mitochondrial glutamine import sustains electron transport chain integrity independent of glutaminolysis in cancer’

Wave and current data From June 5th to 12th, 2024, at Villa del Mar, a Sontek acoustic Doppler velocimeter (ADV), which measures the three components of velocity (u,v,w) at a given point, was installed on a tetrapod and located 10 cm above the surface of the supratidal flat where the measurement volume is located on that surface. The sampling methodology used was a simple burst sampling strategy, with a data acquisition frequency of 10 Hz, in bursts of 12 minutes, with 30-minute intervals between bursts. The ViewHydra software (Sontek) was then used for the visualization and preliminary analysis of the data. Twenty-one bursts were obtained: 5 bursts on June 6th, 7 bursts on June 7th, and 9 bursts on June 9th, coincident with the moments the sensor was underwater. Data with a correlation coefficient exceeding 80% (a measure of the quality of the ADV velocity data) were employed, which corroborated, with the pressure data in dbar (representing the water level on the flat), that the water had covered the supratidal flat, and the sensor. Nine bursts corresponding to the storm conditions were analyzed, three were measured at flood tide, one at slack tide, and the remaining five at low tide. Then, the data was processed in a specific script. Chlorophyll-a and Phaeopigments To determine the photosynthetic activity in sediments (as a proxy), fifteen samples (5 samples with 3 replicates each: 6 samples on June 5th, 3 samples on June 8th, 3 samples on June 12th, and 3 samples on June 14th) of 1.5 mm thickness of surface sediment were extracted from the supratidal flat. The concentration of chlorophyll-a (Chl-a) and phaeopigments (Phaeop) were determined following the Strickland and Parson (1968) method. Funding for this research came through grants PGI 24/H081 (awarded to DGC) and PGI 24/H138 (awarded to GMEP) from SECyT-UNS and grant Pampa Azul A8 from MINCyT (awarded to DGC). This research is part of Camila Stempels Bautista´s Doctoral Thesis, Geology Department, Universidad Nacional del Sur.

MicroCT videos: S1 X-ray tomographic data and 3D model under MIP view for the specimen LTS-015 S2 X-ray tomographic data and 3D model under normal view for the specimen LTS-015 S3 3D model for the specimen LTS-015 Supplementary text and figures: Supplementary Figure 1: Additional Computed microtomographic rendering maps with different colours of specimen LTS-015 Supplementary Figure 2: Partial complete additional specimens of Allonnia sp. from Guanshan Biota

This dataset accompanies the Methodological Appraisal and Credibility Assessment checklist (MACA), developed to evaluate the methodological quality of studies applying computational and statistical methods for composite indicator construction. The repository includes three reproducible components: MACA_ICC-KAPPA: Scripts and results for inter-rater reliability analysis (Cohen’s Kappa, Gwet’s AC1, PABAK, and ICC) of the MACA checklist. MACA_FinalScore: Script and output for calculating the averaged and total scores of the final 17-item fused version of MACA, based on two independent evaluators. MACA_heatmap: Python script and visualization for the heatmap summarizing methodological quality across studies. All scripts are written in Python and include example input and output files for transparency and reproducibility. The dataset supports the umbrella review on methodological quality assessment in computational and statistical methods applied to public health and composite indicators.

The authors have collected, classified the lexical errors of freshman students of two different courses in an academic writing course.

Title: Development and validation of a risk prediction model for refeeding syndrome in adults with critical illness: A prospective cohort study Description: This dataset contains de-identified individual participant data from a prospective cohort study aimed at developing and validating a multivariable risk prediction model for refeeding syndrome (RFS) in critically ill adults. The study was conducted to facilitate early identification and preventive interventions for RFS, a potentially life-threatening condition arising from the initiation of nutritional therapy in malnourished or metabolically compromised patients. Data Content and File Description: The dataset includes the following components: patient_data: De-identified patient-level data for 400 critically ill adults. Variables include: Baseline Characteristics: Age, sex, BMI, APACHE II score, NRS2002 score. Comorbidities and History: Diabetes, alcohol use, surgery, radiotherapy, chemotherapy. Clinical Symptoms: Fever, dysphagia, diarrhea, vomiting, loss of appetite. Nutritional Support: Feeding route (enteral, parenteral, or combined), calorie intake level. Laboratory Values: Albumin, prealbumin, lactate. Outcome: Presence of refeeding syndrome symptoms (binary outcome). data_dictionary: A codebook detailing variable names, descriptions, coding schemes, and value labels. Methodological Overview: Study Design: Prospective observational cohort. Participants: 400 adult patients admitted to the ICU who were at nutritional risk and initiated nutritional support. Ethics: The study was approved by the institutional ethics committee. Informed consent was obtained from all participants or their legal representatives. RFS Diagnosis: Defined based on the presence of specific clinical and laboratory criteria as detailed in the original publication. Potential Reuse Value: This dataset is a valuable resource for: External validation of the RFS prediction model. Research on nutritional support and metabolic complications in critical care. Educational use in clinical prediction modeling and critical care nutrition.

The six Mathematica notebooks (extension "nb"), contain different algorithms to calculate the exponential integral Ei(X) and its inverse. The methods and all details are provided in the manuscript "The exponential integral Ei(x) and numerical calculation of its inverse", by Ricker & Singull (under review). For just inspecting the code, without the Mathematica software, the notebooks are provided also as PDF files.

This dataset provides quarterly estimates of Serbia’s equity risk premium (ERP) decomposed into four structural components: sovereign risk (CRP), liquidity risk (LP), behavioral or sentiment risk (BP), and institutional quality risk (IQP). The series cover the period 2015Q1–2025Q3 and are expressed in percentage points, capturing how each premium contributes to Serbia’s total cost of equity. The data were constructed from multiple reliable sources, including CEIC Data, the Belgrade Stock Exchange (BELEX), Bloomberg, Damodaran’s country risk spreadsheets, and governance indicators from the World Bank (WGI) and Transparency International (CPI). Each component is estimated using a transparent, data-driven empirical framework: The sovereign risk premium (CRP) follows Damodaran’s volatility-adjusted spread method. The liquidity premium (LP) is derived from principal component analysis of bid–ask spreads, turnover ratios, and Amihud illiquidity metrics. The behavioral premium (BP) is estimated from an EGARCH-in-Mean model capturing volatility feedback in BELEX15 returns. The institutional quality premium (IQP) aggregates standardized governance and corruption indices through principal component analysis. The dataset supports the study “Decomposing Serbia’s Equity Risk Premium: Liquidity and Institutional Constraints in a Frontier Market” and enables replication or extension of the analysis for other emerging and frontier markets. It provides insight into how structural factors—rather than macroeconomic volatility alone—shape equity pricing in small, underdeveloped capital markets. The accompanying figure (“Decomposition of Serbia’s ERP, 2015–2025”) visualizes the quarterly evolution of the four components. Variables: Date (Quarter, 2015Q1–2025Q3) CRP – Sovereign Risk Premium (%) LP – Liquidity Premium (%) BP – Behavioral Premium (%) IQP – Institutional Quality Premium (%)

Regional variation of underlying kidney diseases in children undergoing chronic kidney replacement therapy around the globe Pediatric Nephrology