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1,341 to 1,350 of 1,359 Results
Replication Data for: Auroral Image Classification with Deep Neural Networks
Apr 14, 2020 - UiT The Arctic University of Norway
Kvammen, Andreas; Wickstrøm, Kristoffer; McKay, Derek; Partamies, Noora, 2020, "Replication Data for: Auroral Image Classification with Deep Neural Networks", https://doi.org/10.18710/SSA38J, DataverseNO, V3
Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and A...
00_ReadMe.txt
Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
Plain Text - 4.6 KB - MD5: 6c25a3fdae5cc8db0938a055991b217e
ReadMe file where dataset and the files in repository is described.
TestImages.zip
Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
ZIP Archive - 10.2 MB - MD5: b1ff172b00f06c86dd82c021683d451e
Zipped archive containing the test images of the dataset in .PNG format. The class of the image is included in the image title.
TrainingImages.zip
Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
ZIP Archive - 35.8 MB - MD5: b27e63cd55a51e756d0c387a1b7be893
Zipped archive containing the training images of the dataset in .PNG format. The class of the image is included in the image title.
Water sources in the Syrian Desert
Jan 24, 2020 - University of Bergen
Seland, Eivind Heldaas, 2019, "Water sources in the Syrian Desert", https://doi.org/10.18710/CEY9QR, DataverseNO, V2
The dataset gives the location of 2236 water sources in the Syrian Desert, which were identified on Soviet topographic maps originally printed in 1980. These consist of 853 pools/reservoirs/cisterns, 1061 small wells, 119 large wells and 203 springs, and represent a complete cove...
01_Readme.txt
Jan 24, 2020 - Water sources in the Syrian Desert
Plain Text - 1.5 KB - MD5: 3f5e673f0d2bc0d56088a298ff0066c0
SyrianDesertSprings.gml
Jan 24, 2020 - Water sources in the Syrian Desert
application/gml+xml - 148.0 KB - MD5: ca68aef4193b25f8aabc8c33620378dd
Auroral Image Classification with Deep Neural Networks.ipynb
Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
Jupyter Notebook - 8.6 KB - MD5: ddd34b7f1d5d9754a71b45d70af39b93
Google colab notebook to training ResNet 18 classifier on aurora dataset.
data.npz
Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
Unknown - 72.9 MB - MD5: ee2755c2c09b8f2cf8395eae849a1484
Data
File containing images and labels stored as numpy arrays.
kagolicens.pdf
kagolicens.pdf
Jan 15, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
Adobe PDF - 157.5 KB - MD5: d5d42b2e7cf58c748b78d9771ffc3010
Data license.
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