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1,061 to 1,070 of 1,436 Results
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
Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
May 11, 2022 - TROLLing
Verroens, Filip; De Cuypere, Ludovic, 2022, "Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis", https://doi.org/10.18710/WVW9U4, DataverseNO, V1
Dataset abstract The dataset includes an annotated corpus sample of N = 2000 French sentences with se mettre à or commencer à (1000 observations of each verb). The sample was drawn from the literary corpus Frantext (FT) and the journalistic corpus Le Monde (1000 observations from...
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
fring_20220330.csv
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Comma Separated Values - 140.6 KB - MD5: 901c43e511f809aff6c3967c3414468f
data file, csv-file with ";" as separator. Missing values are marked as "NA".
fring_20220330.Rmd
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Unknown - 4.1 KB - MD5: a6368354556ea509b73cc5859931d93e
R Notebook with the data analysis
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