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measurements of relative humidity and temperature |
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Nominal and measured concentrations of imidacloprid |
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Survival data for Hypogastrura viatica |
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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... |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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MD5: ff253e35d0702e06d694cc74980ecca0
The primary documentation file containing project metadata, detailed file lists, methodological descriptions, and terms of use for the dataset. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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. |
