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491 to 500 of 138,165 Results
Plain Text - 13.0 KB - MD5: e02578781db9c116b4d37484a20d4444
Survival data for Folsomia quadrioculata
Jan 23, 2026 - UiT The Arctic University of Norway
Sartipzadeh, Kian; Kvammen, Andreas; Gustavsson, Björn; Gulbrandsen, Njål; Johnsen, Magnar G.; Huyghebaert, Devin; Vierinen, Juha, 2026, "Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning", https://doi.org/10.18710/CFSVA2, DataverseNO, V1
This dataset contains the replication data and code for the article "Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning". The project introduces "Kian-Net", a deep learning model designed to estimate electron density profiles in the ionosphere by fusing ionogram images with geophysical parameters. The Kian-Net mo...
Plain Text - 8.9 KB - MD5: ff253e35d0702e06d694cc74980ecca0
The primary documentation file containing project metadata, detailed file lists, methodological descriptions, and terms of use for the dataset.
ZIP Archive - 7.0 MB - MD5: 2f2ddb3430f67244397a14ceb4551171
An archive containing the scripts and intermediate data files used to generate the figures and plots presented in the associated publication.
ZIP Archive - 981.6 MB - MD5: 2ebce6f6d2e78dc1b050fb8404338647
An archive containing scripts and data for running predictions on new, unseen data using the trained Kian-Net model.
Plain Text - 179 B - MD5: 0e6c59368895da0e07f61a9e209250d6
A text file listing all Python libraries and specific versions required to run the provided code and reproduce the results.
ZIP Archive - 493.0 MB - MD5: db99a617fcf4dc6b2e531b1d9ddb90db
An archive containing the trained model weights, model architecture definitions, and the test datasets used for evaluating model performance.
ZIP Archive - 14.4 MB - MD5: 22e020c3eb511edc88ba00fb870df1ac
An archive containing the source code (train_kian_net.py) and training datasets (EISCAT, Geophysical, Ionograms) used to train the Kian-Net model.
Jan 22, 2026 - NTNU – Norwegian University of Science and Technology
Trivedi, Chirag, 2026, "Computational fluid dynamic simulation of a pump-turbine", https://doi.org/10.18710/ECWM4E, DataverseNO, V1
The data correspond to the computational fluid dynamic simulations of a reversible pump-turbine. A three-dimensional simulation of the turbine was conducted under different operating conditions, design load, high load and part load. Prior to the simulations, several observation points were created inside the numerical model that allowed to acquire...
Plain Text - 12.1 KB - MD5: 0f8ee780aef02408bd2cdd5f65a7cffb
This is README file that provides overview of the data and data usage information.
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