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941 to 950 of 3,833 Results
Adobe PDF - 2.0 MB - MD5: d9534ea1ac9165ad5dfbabb27861775d
details of the mechanical project, with dimensions
May 14, 2025
Gallep, Cristiano de Mello, 2025, "Supplementary material: PMT-04 project details", https://doi.org/10.25824/redu/PZVM8Y, Repositório de Dados de Pesquisa da Unicamp, V2
Mechanical project of the PMT-04: photon-count setup with spectral discrimination in 3 simultaneous windows
Adobe PDF - 326.1 KB - MD5: 199dae134b621f6fb195e491fdb3622c
optical filter's available Sets, and PMT quantum efficiency
May 14, 2025
Gallep, Cristiano de Mello, 2025, "Supplementary material: delayed luminescence of algae under silver stress", https://doi.org/10.25824/redu/UA0UKE, Repositório de Dados de Pesquisa da Unicamp, V1
Supplementary Material to the article "Delayed Luminescence of Algae Under Silver Stress": DL raw data (time; counts) and DL fit (polynomial 9th order) for all tests: triplicates of groups 0 to 5 (resp. 0, 0.005, 0.01, 0.03, 0.05 and 0.1 mg/L of AgNO₃)
Adobe PDF - 9.6 MB - MD5: 6cc0d7c5c97ff945e515d4d30150cdbc
Plots of DL & Fitting – Poly 9th order, for 1h, 3h, 6h and 24h after innoculation; triplicates of groups 0 to 5
MS Excel Spreadsheet - 51.6 KB - MD5: 3510658c9c8c46a4090f16f94cd4df1e
DL Fitting parameters – Poly 9th order, for 1h, 3h, 6h and 24h after innoculation; triplicates of groups 0 to 5
MS Excel Spreadsheet - 1.3 MB - MD5: e1591c7bd526828edbcf88192e641a74
raw data - DL of algae with AgNO3: control and 5 tests, in triplicates, for 1h, 3h, 6h and 24h after inoculation groups 0 to 5 (resp. 0, 0.005, 0.01, 0.03, 0.05 and 0.1 mg/L of AgNO₃):
May 14, 2025
Correia, Alana de Santana; Colombini, Esther Luna; Costa, Paula Dornhofer Paro, 2025, "Supplementary material: DreamerRL framework (datasets and code)", https://doi.org/10.25824/redu/QV3INZ, Repositório de Dados de Pesquisa da Unicamp, V1
This repository contains the supplementary material associated with the DreamerRL framework, including source code, trained models, and datasets used in the experiments. The resources provided here support the reproducibility of the results and enable further exploration of the a...
ZIP Archive - 26.3 MB - MD5: f38af726c70f104832ec1891efbff865
code to train and evaluate humanoid agent using DreamerRL
May 9, 2025
Nogueira, Dannylo Withor Pereira; Bacurau, Rodrigo Moreira; Rossi, Leonardo Leão, 2025, "Motorcycle dynamic state estimation", https://doi.org/10.25824/redu/9ODI8H, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset contains multi-sensor data collected from a motorcycle to support research in lean angle estimation, sensor fusion, and rider dynamics. The data includes measurements from front and rear IMUs, GPS, ultrasonic sensors, lidar, and wheel speed sensors in different ridin...
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