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981 to 990 of 1,364 Results

DatasetUgrozaForTrolling.xlsx Jun 13, 2022 - Replication Data for: “Threat” in Russian – A Linguistic Perspective MS Excel Spreadsheet - 1.0 MB - MD5: d9ba00472acffe52fb7fa8e82e458486
Terms_of_Use_for_the_Russian_National_Corpus.pdf Jun 13, 2022 - Replication Data for: “Threat” in Russian – A Linguistic Perspective Adobe PDF - 171.9 KB - MD5: 2df1ddd0781a2abb2d76938c8735e7e3
Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning May 20, 2022 Alyaev, Sergey, 2022, "Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning", https://doi.org/10.18710/1F9GYH, DataverseNO, V1 The dataset contains realizations of geological stratigraphic curves which were generated using the included script. This data is required to replicate results in Sergey Alyaev and Ahmed H. Elsheikh. "Direct multi-modal inversion of geophysical logs using deep learning." arXiv pr...
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

DatasetUgrozaForTrolling.xlsx

Jun 13, 2022 - Replication Data for: “Threat” in Russian – A Linguistic Perspective

MS Excel Spreadsheet - 1.0 MB -

Terms_of_Use_for_the_Russian_National_Corpus.pdf

Jun 13, 2022 - Replication Data for: “Threat” in Russian – A Linguistic Perspective

Adobe PDF - 171.9 KB -

Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning

May 20, 2022

Alyaev, Sergey, 2022, "Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning", https://doi.org/10.18710/1F9GYH, DataverseNO, V1

The dataset contains realizations of geological stratigraphic curves which were generated using the included script. This data is required to replicate results in Sergey Alyaev and Ahmed H. Elsheikh. "Direct multi-modal inversion of geophysical logs using deep learning." arXiv pr...

00_README.md

May 20, 2022 - Supporting Data for: Direct multi-modal inversion of geophysical logs using deep learning

Markdown Text - 4.7 KB -

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 -

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 -

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 -

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 -

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 -

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 -

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

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