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REDU é a plataforma oficial da Unicamp para o depósito, preservação, compartilhamento, reutilização e reprodutibilidade dos dados de pesquisa gerados na Universidade. Para mais informações, acesse o link contendo o tutorial, as perguntas frequentes (FAQ) e os canais de contato.
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1,341 to 1,350 of 15,572 Results
Tabular Data - 842.8 KB - 10 Variables, 6300 Observations - UNF:6:GhnKh1tcvyZeOLct0vJJUg==
Dataset containing summary statistics computed at the level of individual Monte Carlo runs. Useful for analyzing variability, dispersion, and distributional properties across simulations.
Tabular Data - 1.4 MB - 7 Variables, 18900 Observations - UNF:6:+3zq9z7y3s6d5e7pfXPuNA==
Dataset with time-series statistics computed for each experiment. Allows the analysis of dynamic patterns and temporal evolution of key model variables.
ZIP Archive - 351.2 MB - MD5: dbd4df863261d2a72f948603b8f8191e
Compressed archive containing the complete agent-based model implementation and simulation setup in LSD (Laboratory for Simulation Development). This file allows full replication of the results, including Monte Carlo simulations and raw output generation.
Plain Text - 2.8 KB - MD5: 57f2a6e135d635ffaa02b6d06bf7aa50
Documentation file (Portuguese) with the same content as the README, intended for accessibility to Portuguese-speaking users.
HTML - 1014.5 KB - MD5: f3715b8eb49677c04790649b08a774a6
Precompiled version of the RMarkdown analysis. Provides immediate access to all results, figures, and tables without requiring any software execution.
R Notebook - 38.1 KB - MD5: 46d8a5861fae582108aef03fbfa29c69
RMarkdown script that reproduces all figures and tables reported in the dissertation using the provided datasets. Designed for quick and transparent replication without requiring execution of the model.
Plain Text - 2.5 KB - MD5: 32ea5ecb771792477c6b779f8c5a27a5
Documentation file (English) describing the structure of the repository, replication options, and usage instructions.
Mar 31, 2026 - Exatas
Dorini, Thiago Trevizam; San Miguel Barrera, Miguel Angel, 2026, "A first-principles study of surface-dependent synergy between H2O and O2 on silver-based oxide semiconductors", https://doi.org/10.25824/redu/JA2DOQ, Repositório de Dados de Pesquisa da Unicamp, V1
This ZIP archive contains the complete dataset supporting the DFT study on the co-adsorption of O₂ and H₂O on Ag-based semiconductor surfaces (Ag₂MoO₄, Ag₃PO₄, Ag₂WO₄). The data consists of raw VASP calculation files organized in a hierarchical directory structure. Folders are ar...
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