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MD5: 00002f4436357d2aebc151e24418d8d7
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MD5: 43df1a632076e736334b044478a320ee
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MD5: 2fa5cc23cb3587ee43f65260fadd51d0
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MD5: 5fb9b86ca65c8f20fd9fa70ba033e563
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Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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. |
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. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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. |
Jan 23, 2026 -
Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning
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. |
