1 to 10 of 11,399 Results
Jan 23, 2026
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
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. |
Jan 20, 2026
Erhart, Claudia; Nahrgang, Jasmine; Creese, Mari Egeness; Dubourg, Paul; Frantzen, Marianne; Hansen, Bjørn Henrik; Hansen, Øyvind Johannes; Meador, James P.; Michon, Elisa; Odei, Derrick Kwame; Puvanendran, Velmurugu; Sørensen, Lisbet, 2026, "Replication Data for: Crude oil exposure during gametogenesis in the batch-spawning Atlantic cod (Gadus morhua): Effects on gametes and maternally exposed offspring development", https://doi.org/10.18710/FXMESS, DataverseNO, V1
This dataset includes data collected during a multigenerational crude oil exposure experiment involving Atlantic cod (Gadus morhua) broodstock. Mature cod in late gametogenesis were exposed for 20 days to either a crude oil water-soluble fraction or untreated seawater. After exposure, fish from both groups were repeatedly strip-spawned, and egg bat... |
Plain Text - 24.2 KB -
MD5: 24f4535a2052d09543e59c30a36edf86
ReadMe file containing detailed information and metadata for the entire dataset |
Comma Separated Values - 1.7 KB -
MD5: be126ba350e15be42db6f0c60efb2bdb
Associated data for each parental fish, including which treatment it received, if gamete batches could be collected, mortality as well as morphometric data |
