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1,611 to 1,620 of 12,879 Results
MERRILL Data PLAG.zip
May 20, 2022 - Replication Data for: Micromagnetic modes of the anisotropy of magnetic susceptibility in natural magnetite particles
ZIP Archive - 9.7 GB - MD5: a2be1fbee3bf3f0fd8ce0daa4a164178
B-16_Sus.csv
May 20, 2022 - Replication Data for: Micromagnetic modes of the anisotropy of magnetic susceptibility in natural magnetite particles
Comma Separated Values - 133.6 KB - MD5: 57551c8231c660e47bdbb262c7379195
LEM-OPX.zip
May 20, 2022 - Replication Data for: Micromagnetic modes of the anisotropy of magnetic susceptibility in natural magnetite particles
ZIP Archive - 80.2 MB - MD5: cf111cc39400af9da3bbd10f844b4b4b
LEM-PLAG.zip
May 20, 2022 - Replication Data for: Micromagnetic modes of the anisotropy of magnetic susceptibility in natural magnetite particles
ZIP Archive - 65.8 MB - MD5: 3e047748e51c3d659616cbde07b44409
Particle Collection.pdf
Particle Collection.pdf
May 20, 2022 - Replication Data for: Micromagnetic modes of the anisotropy of magnetic susceptibility in natural magnetite particles
Adobe PDF - 602.6 MB - MD5: 1415b8e01d4fee4d4b7a56847b517d8a
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
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