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161 to 170 of 3,766 Results
ZIP Archive - 346.1 MB - MD5: ead6082a198630b5d1398a327c7c5c00
Contains the physical class of variables (soil and slope).
Plain Text - 1.7 KB - MD5: e9f5cd106922a9e5d59919b725d9017c
The description of all data used.
Tabular Data - 110.9 KB - 3 Variables, 2595 Observations - UNF:6:j/X96+LtmW7mD8l2K0FJ3Q==
Soybean occurrence data for the year 2023.
Mar 26, 2026
Godoy, Leonardo Proença Mendes de Almeida; Buttignol, Thomaz Eduardo Teixeira, 2026, "Linking inductive measurements and DEWS tensile behavior in steel fiber reinforced concrete for quality control", https://doi.org/10.25824/redu/RG5TJF, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:I4Kj8/ZJi+OIE/iKiF+0xQ== [fileUNF]
This dataset comprises inductive measurements and Double-Edge Wedge Splitting (DEWS) results obtained from cylindrical cores extracted from steel fiber reinforced concrete beams produced with natural and recycled aggregates. The cores were taken from beams tested under four-point...
Tabular Data - 13.0 KB - 18 Variables, 85 Observations - UNF:6:I4Kj8/ZJi+OIE/iKiF+0xQ==
Mar 26, 2026
Moreno, Victor Gomes; Costa, Paula Dornhofer Paro, 2026, "SpoofLab: a framework for audio deepfake and spoofing detection evaluation", https://doi.org/10.25824/redu/YJKFYF, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset corresponds to the SpoofLab framework, an open-source research framework developed for the study of audio deepfake and spoofing detection systems. The repository provides implementations and evaluation pipelines for analyzing the robustness and fairness of anti-spoof...
Adobe PDF - 26.2 KB - MD5: efae512e87f72c3db4c778c78f08c9d5
This file provides a description of the SpoofLab dataset and directs users to the official GitHub repository, where the full codebase, experimental pipelines, and documentation are publicly available: https://github.com/AI-Unicamp/SpoofLab
Mar 25, 2026
Tribst, Alline Artigiani Lima; Ferrão, Sibelli Passini Barbosa, 2026, "Buttery sheep cheese produced with different starters", https://doi.org/10.25824/redu/UVS1OP, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:XUYwjaZBwBKApUu+5RIYVw== [fileUNF]
These dataset shows the results of physicocchemical, microbiological, chemical and instrumental analysis of buttery cheese type produced with pasteurized sheep milk added with different starters and coagulated with artichoke flower extract isolated or mixed with bovine rennet. Ch...
Tabular Data - 1.4 KB - 9 Variables, 9 Observations - UNF:6:XUYwjaZBwBKApUu+5RIYVw==
Results of physicocchemical, microbiological, chemical and instrumental analysis of buttery cheese type produced with pasteurized sheep milk added with different starters
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