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O 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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61 to 70 of 13,222 Results
ZIP Archive - 74.9 MB - MD5: 8f42068a24a76669429dffc753c891d3
Raw photomicrographs of thin sections A1, A2, A3, and A4. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
ZIP Archive - 108.7 MB - MD5: 1e43cf5c247975a2573e9506f61d2c7b
Raw photomicrographs of thin sections B1, B2, B3, B4, B5, and B6. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
ZIP Archive - 13.6 MB - MD5: 7395d93e411ab2000f041d04c25b4b5e
Raw photomicrographs of thin section D1. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
ZIP Archive - 114.8 MB - MD5: c2fbc89c7fb8079b4ddd8cd1ddc1b22e
Panoramic photographs of thin sections mounted on glass slides. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
ZIP Archive - 108.3 MB - MD5: 896195699a9b27d4610b94d171231147
Raw photomicrographs of thin sections C1, C2, C3, and C4. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
ZIP Archive - 8.0 MB - MD5: 499902ac07c477551a48f52345318230
Raw photomicrographs of the petrographic description. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
ZIP Archive - 205.0 MB - MD5: 669ef7e75c0fcd227d98c15e92f18b39
Raw high-resolution SEM micrographs. Refer to the 'ReadMe.txt' file within the compressed archive for further information.
MS Word - 15.8 KB - MD5: cfe539bf19be91e89acfd9d5ea6a4bf6
This table illustrates the distribution of the thin sections across their respective bones, along with their assigned identifiers.
Tabular Data - 1.1 KB - 9 Variables, 18 Observations - UNF:6:8ZORtVBnqFyoBuHzqGK9mA==
Mitotic defects and cell death data
Tabular Data - 143.3 MB - 31 Variables, 284807 Observations - UNF:6:oIwTwl4PURoc2zFIIVACKA==
Conjunto de dados em formato CSV obtido da plataforma Kaggle, dataset “Credit Card Fraud Detection”, utilizado na dissertação “Uma proposta de melhores práticas em aprendizado de máquina para detecção de fraude transacional em pagamentos online”. A base contém transações anonimiz...
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