261 to 270 of 3,861 Results
Mar 27, 2026 -
Climate-driven shifts in soybean suitability in Brazil’s arco norte: implications for logistical vulnerability
ZIP Archive - 644.0 MB -
MD5: 6a2436e6f7ce1ff11c3cb7c844dd8757
Contains the LULC class of variables (bare land value, land use and cover, public forests type B and water use permit). |
Mar 27, 2026 -
Climate-driven shifts in soybean suitability in Brazil’s arco norte: implications for logistical vulnerability
ZIP Archive - 93.2 KB -
MD5: a2520b0741cdf76cb38a26059c4ea15e
Contains scenario-based soybean area expansion and grain storage deficit data used to calculate the Logistical Vulnerability Index. |
Mar 27, 2026 -
Climate-driven shifts in soybean suitability in Brazil’s arco norte: implications for logistical vulnerability
ZIP Archive - 346.1 MB -
MD5: ead6082a198630b5d1398a327c7c5c00
Contains the physical class of variables (soil and slope). |
Mar 27, 2026 -
Climate-driven shifts in soybean suitability in Brazil’s arco norte: implications for logistical vulnerability
Plain Text - 1.7 KB -
MD5: e9f5cd106922a9e5d59919b725d9017c
The description of all data used. |
Mar 27, 2026 -
Climate-driven shifts in soybean suitability in Brazil’s arco norte: implications for logistical vulnerability
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... |
Mar 26, 2026 -
Linking inductive measurements and DEWS tensile behavior in steel fiber reinforced concrete for quality control
Tabular Data - 13.0 KB - 18 Variables, 85 Observations - UNF:6:I4Kj8/ZJi+OIE/iKiF+0xQ==
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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 -
Desenvolvimento e aprimoramento de revestimento sobre folhas de alumínio para cátodos de baterias de sódio
Adobe PDF - 398.2 KB -
MD5: 4b46d50db73e0e6d2f200ca5e69ff887
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