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911 to 920 of 1,260 Results
00_README.md
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Markdown Text - 4.7 KB - MD5: 44eb6bf27b67c4aab0e24989a3231e50
Readme file
00_README.txt
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Plain Text - 4.7 KB - MD5: 44eb6bf27b67c4aab0e24989a3231e50
readme file
generate_stratum_trend_based.py
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Python Source Code - 5.1 KB - MD5: 8f59527c03a6460aae2a377812b9ca64
Python code that can be used for generation of realizations
LICENSE.txt
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Plain Text - 19.7 KB - MD5: bb082061306cc1dc0afcd128f972d344
CC-BY-SA-4.0 license
netcdf_conversion.py
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Python Source Code - 1.2 KB - MD5: a8803f4a86664b8a22151a0d28926188
Python script for conversion from numpy to nc files, which are used for deposition
test.nc
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Network Common Data Form - 9.2 MB - MD5: ceb18211f836ff0eb87db0f7d449a04e
The testing dataset containing the realizations each consisting of series of angles, the stratigraphic vertical depths (SVD), and the vertical section (VS) coordinates of stratigraphic curves
train.nc
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Network Common Data Form - 457.8 MB - MD5: 4c1896f602b3feca1810047309d41c52
The training dataset containing the realizations each consisting of a series of angles, the stratigraphic vertical depths (SVD), and the vertical section (VS) coordinates of stratigraphic curves
trajectories_data_set.py
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
Python Source Code - 5.4 KB - MD5: 8820b78733145a9149eb87620aee4d77
Python script to generate the dataset
trajectories.png
trajectories.png
May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning
PNG Image - 158.3 KB - MD5: 18ad687e904961ad85b2d1206d4e0319
Example of generated stratigraphic curves
0_ReadMe_Fring_20220405.txt
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Plain Text - 8.5 KB - MD5: 7d30dd5d84b735a572830b627a66605a
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