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451 to 460 of 3,636 Results
Adobe PDF - 307.3 KB - MD5: fc78a0c294f1c75eeef846ea93a6c03f
Tabular Data - 14.1 KB - 18 Variables, 44 Observations - UNF:6:UOd6EN7VdJ3MT6U0QLArsA==
Plain Text - 1.1 KB - MD5: 78c22cd7fae9af182b6b8e68e71fb96c
Dec 5, 2025
Silva, Julia Millena dos Santos; Macedo, Juliana Alves; Camargo, Gisele Anne, 2025, "Valorização de coprodutos da cafeicultura especial: obtenção de ingrediente bioativo para fortificação antioxidante de chocolate ao leite", https://doi.org/10.25824/redu/XZWS76, Repositório de Dados de Pesquisa da Unicamp, V1
O estudo teve como propósito desenvolver três ingredientes funcionais a partir de extratos fenólicos de café verde e de café defeituoso, utilizando diferentes agentes encapsulantes, maltodextrina, goma arábica e inulina. Esses ingredientes foram incorporados a formulações de choc...
Dec 2, 2025
Prudencio, Rafael Figueiredo; Maximo, Marcos Ricardo Omena de Albuquerque; Colombini, Esther Luna, 2025, "Collection of repositories to explore offline reinforcement learning applied to unmanned aerial vehicle control", https://doi.org/10.25824/redu/QTFCUF, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset includes links to the repositories used to run all the experiments for the master's thesis: Offline Reinforcement Learning for Unmanned Aerial Vehicle Control. The dataset can be used to reproduce the results outlined in the thesis. All repositories with documentatio...
Dec 1, 2025
Gonçalves, Jéssica Leonel; Toledo, Gabriela Pereira; Mazza, Ricardo Augusto, 2025, "Experimental data of air-water slug flow through a lazy wave riser", https://doi.org/10.25824/redu/KWPAW5, Repositório de Dados de Pesquisa da Unicamp, V1
This experimental database aimed to obtain the pressure and slug flow properties in air-water slug flow in a lazy wave riser scaled from a real riser from the Brazilian pre-salt. The database contains the raw and processed data from pressure transducers and dual impedance probes...
ZIP Archive - 3.0 GB - MD5: 4f7e7df6d10d0a8f5a44315e7e81bb44
Nov 27, 2025
Prado, Juliana Cardoso do; Cerqueira, Matheus Abrantes; Giomo, Gerson Silva; Falcão, Alexandre Xavier; Valle, Eduardo; Fracarolli, Juliana Aparecida, 2025, "Coffee bean defect image dataset", https://doi.org/10.25824/redu/8BNEOD, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:kw8FbGZoCDi9webuIAzV5Q== [fileUNF]
This dataset contains 3672 individual images of coffee beans measuring 384x384 pixels. A balanced dataset with manually annotated images, following official standards, comprising nine total classes of coffee beans used for classification and quality analysis. Among them, two corr...
Tabular Data - 240.7 KB - 5 Variables, 3672 Observations - UNF:6:kw8FbGZoCDi9webuIAzV5Q==
Group number corresponds to the same grain, with two faces: ventral face (face 1) and dorsal face (face 2). ‘seq’ refers to table lines. ‘id’ refers to sample identification.
ZIP Archive - 113.9 MB - MD5: e60afccd1bec80001d4d58ce1dd92e38
Contains 3672 individual images of coffee beans measuring 384x384 pixels. The identified grain classes (labels 1 to 9 in the ‘grain_metadata.csv’ file) are: (1) Sound Bean, (2) Peaberry, (3) Black, (4) Immature, (5) Sour, (6) Shell, (7) Shell Center, (8) Broken, and (9) Insect-Da...
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