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This dataset provides held-out testing and production-model provenance analysis for the Pt–C–O fourth-generation neuroevolution potential (NEP4) used in the manuscript “Species-Dependent Interfacial Aggregation and Local Graphene Lifting on Pt(111)”. It supplements the principal computational dataset at https://doi.org/10.17632/h7m39h94hk.1 and the additional analysis dataset at https://doi.org/10.17632/cy22xdbxd8.1. The original database contains 4,226 configurations divided into 2,961 training configurations, 844 validation configurations, and 421 previously unused held-out test configurations. The 844-configuration subset previously described as a test set is treated here as the validation set. Production-model provenance was assessed by re-evaluating five archived frames from each public CO- and O-intercalation molecular-dynamics trajectory using two candidate Pt–C–O NEP models. The distributed production model (SHA-256: 4203fb759da3404878ecbde319f76f59014280d3cf6d88897312349fbffff28e) reproduces the archived trajectory energies substantially more closely than candidate model 2a. The fingerprint errors are 0.0200 versus 19.5630 meV/atom for CO and 0.00775 versus 1.24616 meV/atom for O, identifying model 2 as the model consistent with both archived production trajectories. On the 421-configuration held-out set containing 71,703 atoms, the frozen production model gives RMSEs of 0.98395 meV/atom for energy, 72.6538 meV/Å for force components, and 45.9592 meV/atom for virial components. Species-resolved force RMSEs are 48.7622 meV/Å for C, 93.1835 meV/Å for O, and 86.7958 meV/Å for Pt. The 844-configuration validation replay gives corresponding RMSEs of 0.94363 meV/atom, 74.6506 meV/Å, and 46.0115 meV/atom. The package contains the production NEP model and training input, held-out test structures and prediction outputs, validation-replay summaries, trajectory-fingerprint structures and results, reproduction scripts, the recorded software environment, and SHA-256 checksums. These validation and held-out results assess interpolation within the sampled Pt–C–O configuration domain. They do not establish unrestricted transferability to arbitrary compositions, defects, temperatures, reaction pathways, or configurations outside the sampled domain.

The type of data is Questionnaire the respondents is 166

Fluoroscopy Dataset for Peripheral Bronchoscopy

it a randon-thoron measurement from dosimeter

This dataset contains anonymized survey responses collected from private university students to evaluate their satisfaction with Semester Plan Registration Application. The dataset was developed to provide reusable research data for studying students' experiences and satisfaction with digital services in a higher education environment. The dataset contains individual-level survey responses together with non-identifying respondent characteristics and application-related information. Dataset values mostly in Bahasa Indonesia, translation is needed for research purpose for non-Indonesian. The dataset is intended to support further research on student digital experience, information systems, application satisfaction, usability, service quality, and related topics in system or application quality evaluation (ISO/IEC 25010).

This dataset contains supporting data used to investigate root–shoot allocation and its environmental associations in C₃ and C₄ herbaceous plants.

R scripts and datasets used to analyse yawning frequency (negative binomial regression), yawning investment (bootstrap resampling), changes in activity levels during the 180 s before and after yawning events (Wilcoxon signed-rank test), and differences in ΔActivity between yawning and control periods (Wilcoxon rank-sum test).

The dataset is used for the study Artificial intelligence policies and the rebound effect of electricity consumption: Evidence from China

Search String: Indian Knowledge System OR "Traditional Indian Management" OR "Vedic Management" OR "Arthashastra" OR "Chanakya Niti" OR "Bhagavad Gita" OR "Dharma and Business" OR "Spiritual Leadership" OR "Panchatantra and Management" OR "Karma Yoga" OR "Gandhian Management" OR "Ayurveda and Business" OR "Corporate Dharma" OR "Sanskrit and Management" OR "Indian Epics and Business Strategy" OR "Indigenous Knowledge and Management" subject area restricted to : Arts and Humanities, Social Sciences, Business management and Accounting,Pyscholgy, Economics, Economatrics and Finance Data extracted on: 06 March 2025

This file contains data of three elicited metaphors collected from 98 students from a disciplinary alternative school in China. The three metaphors are: This school is like...because...; English learning is like...because...; My future is like...because... This dataset is used to explore how these students negotiated their positions in the alternative educational setting across three domains: student identities, learner identities, and future selves. Iterative thematic analysis was employed to analyze the metaphorical representations and their entailments, resulting in five themes for each identity domain.