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Underlying bibliometric data for the manuscript Mobilizing Interdisciplinarity: Insights from an Institution-Wide Research Strategy

This dataset contains an field observation table used to examine acoustic capacity mechanisms in hospital public spaces. The CSV has one row per 180-second observation, comprising 354 observations from 51 anonymised public spaces in six Grade III Class A general hospitals in Shenyang, China. Measurements were collected across three field waves: a summer weekday wave in July 2025, a winter weekday wave in January 2026, and a winter weekend wave in January 2026. Each row includes anonymous hospital and space identifiers, hospital scale, public-space zone and functional type, floor level, measurement timing, weekend/weekday status, and whether the observation was part of a parallel-point robustness subset. Acoustic variables include A-weighted equivalent sound level, background sound level, upper percentile sound level, and the fluctuation range. The table also records real-time people load, corridor people count, dominant sound-source group, group-level source-score summaries, and the underlying sound-source item ratings from two reviewers in wide format. Space-level variables include geometry, area, volume, height, room vertical-versus-horizontal proportion, surface absorption summaries, open-boundary scores, and the adjacency exposure score used in the manuscript. Standardised variables used in the mixed-effects models are also provided for reproducibility. The dataset contains no personally identifiable participant information and is intended to support reproduction of the descriptive, source-composition, mixed-effects modelling, and acoustic-capacity analyses reported in the associated manuscript.

This dataset contains simulated critical values and empirical power estimates for four goodness-of-fit (GoF) test statistics under random right censoring: the Cramér–von Mises statistic W² and the Anderson–Darling statistic A², each constructed using two nonparametric estimators of the unknown distribution function — the Kaplan–Meier (KM) estimator and the Abdushukurov relative-risk (RR) estimator. The Abdushukurov RR estimator eliminates the "hanging-tail" artefact of the KM estimator and has the same asymptotic properties but differs in finite samples at high censoring fractions. The null distribution is a three-parameter Weibull (shape = 2, scale = 50, location = 20). Censoring times follow an exponential distribution Exp(θ(q)) with rate θ(q) chosen so that the expected fraction of censored observations equals q ∈ {0.10, 0.20, …, 0.90}. The exact θ(q) values, computed by bisection, are provided in theta_table.csv. The dataset covers four sample sizes (n ∈ {20, 60, 80, 100}) and nine censoring fractions (q ∈ {0.10, …, 0.90}), giving 36 experimental cells per statistic. For each cell, the repository provides: • Critical values at α ∈ {0.25, 0.10, 0.05, 0.025} (4 CSV files, one per statistic–estimator combination), with degenerate cells (too few uncensored observations) flagged via nd_flag and encoded NA. • Empirical Type I error verifying the nominal level α = 0.05 (actual_size.csv). • Empirical power at α = 0.05 against six alternative distributions with standard errors (power_W2.csv, power_A2.csv). • Bootstrap-calibrated power using B = 1,999 resamples (power_bootstrap.csv, power_bootstrap_A2.csv). • Exponential censoring rates θ(q) for all nine fractions (theta_table.csv). • Simulation diagnostics including non-convergence counts for the RR estimator (diagnostics_gof.csv). All simulations were performed in Python 3.11 using NumPy 1.24.4, SciPy 1.11.4, and joblib 1.3.2 with N = 10,000 Monte Carlo replications per cell and base seed 42. Results were independently verified with seeds 0, 123, and 999; all critical values agreed to within ±2 standard errors (≤ 0.004).

This dataset contains the final corpus of 277 peer-reviewed journal articles used in the study of the intellectual and thematic evolution of research on Ponzi schemes and related financial fraud topics. The corpus was compiled through a systematic search of the Web of Science Core Collection and includes publications covering the period 1990–2026. Each article was screened according to the study's eligibility criteria and classified into thematic clusters identified through bibliometric analysis. The dataset includes the following information for each publication: Sequential article number Authors Article title Journal or source title Publication year Research phase Cluster code Cluster label Citation count Digital Object Identifier (DOI), when available Web of Science accession number Bridge indicator identifying publications connecting thematic clusters This dataset serves as the supplementary material supporting the bibliometric analysis presented in the associated research article. It enables transparency, reproducibility, and reuse of the corpus for future bibliometric, scientometric, and systematic literature review studies.

In this study, we perform a comprehensive, decade-long assessment of photoelectron escape from Mars using suprathermal electron measurements from MAVEN/SWEA. The file contains all the data and plotting codes required to generate the figures in the paper. The dataset includes multiple parameters, such as the spatial locations and fluxes of Martian photoelectrons. By combining an identification procedure for ionospheric photoelectrons with a spatially resolved analysis of their outward flux, we derive a global photoelectron escape rate. The data products were primarily derived from reanalysis of publicly available observations from multiple instruments onboard MAVEN, including SWEA, LPW, STATIC, EUVM, and MAG. Users only need to modify the data paths in the code to reproduce the figures and related output information.

This document concerns the identification and characterization of elicitor proteins, as well as data on enzyme activity indicators measured after inoculating grape fruits.

Supplementary files of a DIB manuscript.

This study was guided by the assumption that preservice EFL teachers' professional identity develops through their participation in the teaching practicum activity and is shaped by different levels of contradictions and expansive learning processes. Drawing on Cultural-Historical Activity Theory, Expansive Learning Theory, and a reformulated version of the concept of Identity-in-Activity, the study examined how contextual factors, developmental processes, and identity facets are interconnected. The dataset consists of qualitative longitudinal data collected over an 11-week teaching practicum from a preservice EFL teacher in Türkiye. Data were generated through two drawings, semi-structured one-on-one interviews, semi-structured focus group interviews, weekly reflective journals, and overt non-participant classroom observations. All verbal and written data were collected in Turkish, transcribed, translated into English, and analyzed using Qualitative Content Analysis through inductive, abductive, and retroductive reasoning. The findings show that the participant encountered multiple contradictions embedded in the practicum activity system, involving students, teachers, school administrators, institutional rules, and dominant teaching practices. These contradictions prompted expansive learning actions, including questioning existing practices, analyzing challenges, modelling and testing new strategies, implementing a new teaching practice, and reflecting on its outcomes. Through these processes, the participant transformed her teaching practice and developed several interconnected facets of professional identity, including being a friendly, considerate, up-to-date, motivated, and coeducation-supportive teacher. The data can be interpreted as illustrating how professional identity develops through the interaction between individual agency and contextual conditions rather than through individual reflection alone. Beyond documenting identity change, the dataset provides detailed evidence of the mechanisms through which contradictions stimulate expansive learning and identity development within a teaching practicum. Researchers may use these data to investigate teacher identity, teacher learning, practicum experiences, expansive learning, and Cultural-Historical Activity Theory in teacher education, while teacher educators and mentors may use the findings to better understand how contextual challenges influence preservice teachers' professional development.

This repository contains the trial-level behavioural data and R analysis scripts associated with the manuscript "Number–Space Association in Macaques". The data were collected from two behavioural experiments investigating quantity-space associations in macaques. Experiment 1 examined spontaneous spatial choice and hand-use preferences across different food quantities, whereas Experiment 2 used a habituation–dishabituation paradigm to investigate whether spatial responses depend on relative quantity. The repository includes the original datasets used for all statistical analyses reported in the manuscript, reproducible R scripts, a codebook describing all variables, and a README file explaining the repository structure and how to reproduce the analyses. The repository enables full reproduction of the statistical analyses and figures reported in the manuscript and may facilitate secondary analyses of quantity-space associations in non-human primates.

This dataset contains LPPL calibration results, rolling Hurst estimates, backtest outputs, and Python analysis scripts for the Finance Research Letters manuscript. Ten CSV files cover parameter comparison, bootstrap validation, Hurst ablation, slippage sensitivity, and placebo policy tests. Seven Python scripts reproduce all tables and figures.