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This dataset provides the input data used in the article “Optimal Sizing of Community PV-BESS Systems with First- and Second-Life Batteries in Peer-to-Peer Energy Communities.” It contains all the parameters and profiles required to reproduce the Mixed-Integer Second-Order Cone Programming (MISOCP) model for the optimal sizing and operation of photovoltaic and battery energy storage systems (PV-BESS) in a low-voltage distribution network. The dataset includes: Buses sheet: active/reactive loads, voltage limits, PV and BESS installation status, and grid connection parameters. Lines sheet: electrical parameters of distribution lines (resistance, reactance, and thermal limits). Profiles sheet: hourly demand and PV generation profiles for representative residential users. Degradation sheet: annual degradation factors for different battery chemistries (first-life and second-life). Adj_Matrix sheet: adjacency matrix defining the electrical topology of the test feeder (206 nodes). The data correspond to the reduced equivalent of the IEEE European Low-Voltage Test Feeder adapted for a community energy scenario, and are formatted for direct use in optimization frameworks such as Pyomo

SI for Predicting Outcomes of Port-Wine Stains Treated by Hemoporfin-Mediated Photodynamic Therapy An Observational Study Using Multimodal Deep Learning, including: 1. Additional Technical Clarifications 2. Definitions and assessment methods of clinical variables 3. Outcome definitions

Results and analysis of Minuca rapax feeding activity.

Data and codes for Minimum Wages in a High-Inflation Economy: The Case of Türkiye

This dataset compiles socioeconomic information and results from a survey based on Rest’s model (Defining Issues Test - DIT), administered to Public Accounting students. The purpose of the dataset is to analyze the level of appropriation of ethical competence within academic and professional contexts. It includes variables related to demographic characteristics, socioeconomic conditions, and responses to ethical scenarios assessed through the DIT, along with indicators derived from statistical analysis.

This Mendeley Dataset contains pre-processed data and code required to re-create the figures in 'Post-transplantation clonal dynamics of hematopoietic stem cells carrying prenatal and early-life DNMT3A mutations.' (Derks & Müskens et al., 2025, Hemasphere) All preprocessed (somatic mutation) data types are available in two versions, corresponding to the set of HSPCs used for germline filtering. 'refpair 1': germline reference set 1 is used (Germline A,Fig. 1B) 'refpair 2'': germline reference set 2 is used (Germline B,Fig. 1B) The code at time of publication is available in folder 'Code', with additional README files detailing the use of the code. The code is also available on Github: https://github.com/ProjectsVanBox/LTHIT_scWGS

This dataset includes original isotope (δ¹⁸O, δ¹³C) and trace element (Mg/Ca, Sr/Ca, Ba/Ca) measurements, as well as principal component analysis (PCA) results.

These materials are provided as Supplemental Material for the article “Comparative Outcomes Across Rituximab Induction Doses in Pemphigus: A Real-World Single-Center Study”. Supplementary Figure 1. Time to Complete Response and Relapse Among Groups. (A) The time for achieving complete response (CR) in the groups. (B) The time for achieving relapse in the groups. Supplementary table 1. The detailed information of 53 patients.

This repository contains the complete simulation and replication package accompanying the article “Structured Music as Human Capital: Thresholds, Complementarities, and Simulation Evidence”. It documents how structured cultural participation—specifically the Enescu Festival’s Children’s Concert Series—is modeled as an input in a Becker–Heckman style skill-formation framework featuring: (i) a pedagogical quality threshold, (ii) home and school complementarities, (iii) age-sensitive returns, and (iv) a joint cognitive–affective (“health-like”) channel. Contents: 1. Simulation code implementing the human capital production function, including: • Intensity of exposure (M), pedagogical quality (Q), and an age shifter g(A) • Effective inputs with complements: M_eff = M(1 + φ), Q_eff = Q(1 + ψ) • A quality threshold Q* distinguishing the high-quality scenario (S1) from the below-threshold scenario (S2) • An optional health-like state S_t that scales returns and moderates outcome variance 2. Generated datasets (CSV) used to compute all reported statistics: • Group means and difference-in-differences (DiD) contrasts at baseline, post-test, and follow-up • First-stage, OLS, and IV (LATE) estimates, including Anderson–Rubin confidence sets • Heterogeneity analyses by age, baseline executive function quartiles, and health-like proxy • Cost-effectiveness grids reporting RON per 0.1 SD gain under alternative cost and effect-size assumptions 3. Figure and table outputs: • Diminishing returns to intensity (M) • Quality threshold patterns comparing S1 and S2 • DiD trajectories over time • Robustness checks (age curvature, threshold smoothing, exclusion violations, spillovers, practice effects, attrition) • Joint-investment channel plots linking cognitive and affective components 4. A documentation file linking: • Each script to the corresponding tables and figures in the manuscript • Key parameter choices to the rationale summarized in the appendices All data are simulated and contain no identifiable information. The repository is designed to ensure transparency and reproducibility, and to serve as a modular template for researchers planning field experiments or quasi-experimental evaluations of cultural or educational programs. Users can reproduce every table and figure from the paper or adjust parameters (M, Q, φ, ψ, g(A), S_t) to explore alternative program designs, thresholds, and targeting strategies.

This data were collected in an online experimental study.