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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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14,641 to 14,650 of 15,536 Results
Unknown - 13.6 KB - MD5: 7c9f1e6ca494fc7886e069f5e935f625
Contains the source codes of the preprocessing step designed for the methodology of this work (i.e., load data and generate the word embeddings), alongside with stocks manipulation, and investment evaluation.
Sep 22, 2022 - Exatas
Parma, Eduardo, 2022, "Modeling li-Ion battery voltage oscillations and the impact of exchange current density on oscillation properties", https://doi.org/10.25824/redu/GDUVF7, Repositório de Dados de Pesquisa da Unicamp, V1
Phase-field simulation data for oscillating Li-ion Batteries. The data includes variation in number of simulated particles, (dis)charge rate, exchange current model and electrode thickness.
7Z Archive - 115.5 MB - MD5: 55b5301763b1cbdaf9e732e9f7c41a49
All simulation data presented in the paper
Sep 19, 2022 - Tecnológicas
Magalhães, Paulo Sergio Graziano; Amaral, Lucas Rios do, 2022, "Monitoring integrated crop-livestock systems through remote sensing and precision agriculture for more sustainable production: towards low carbon agriculture", https://doi.org/10.25824/redu/CMAH9X, Repositório de Dados de Pesquisa da Unicamp, V3, UNF:6:UShYtRlYmw1U8+1js32pSg== [fileUNF]
The aim or the proposed study is to provide sustainability-related supports for the Brazilian low carbon agriculture program from an water use efficiency, productivity and soil quality point of view, exploiting the capabilities of satellite remote sensing data and precision agric...
Unknown - 3.7 MB - MD5: 40f20025e549e340a819bcfb07eede8f
Soil apparent electrical conductivity data, and soil magnetic susceptibility measured by the EM38-MK2 equipment Datum WGS84
Unknown - 35.6 MB - MD5: 06faf16816eec875dcaace858904772d
Raw data recorded by the GreenStar 3 2630 harvest monitor - John Deere, coupling to the S55 harvester - John Deere
Sep 16, 2022 - Exatas
Tessarini, Letícia; Fileti, Ana Maria Frattini, 2022, "Banco de dados de áudio: classificação de resinas plásticas para reciclagem usando processamento de sinais acústico e redes neurais artificiais", https://doi.org/10.25824/redu/UGMPJR, Repositório de Dados de Pesquisa da Unicamp, V1
Esse banco de dados contém as gravações de áudio das sete resinas plásticas de reciclagem (PET, PEAD, PVC, PP, PS e Outros) sendo amassadas de duas formas, em conjunto dentro de um bag de pano (chamado de caso 1) e por peça (chamado de caso 2). Essas gravações passaram por um pro...
JSON - 88.1 MB - MD5: 1bc74183fe5f3f291fbeb07384ab88a3
Este arquivo contém as características extraídas pela técnica MFCC das gravações de áudio nomeado como caso 1 (amassadas em conjunto).
JSON - 88.1 MB - MD5: ff162a58f2de85d0215d73ad10f706ec
Este arquivo contém as características extraídas pela técnica MFCC das gravações de áudio nomeado como caso 2 (amassadas por peça).
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