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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Deep neural networks for creating reliable PmP database with a case study in southern California |
Identification Number: |
doi:10.21979/N9/0O380V |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2022-03-22 |
Version: |
2 |
Bibliographic Citation: |
Tong, Ping, 2022, "Replication Data for: Deep neural networks for creating reliable PmP database with a case study in southern California", https://doi.org/10.21979/N9/0O380V, DR-NTU (Data), V2 |
Citation |
|
Title: |
Replication Data for: Deep neural networks for creating reliable PmP database with a case study in southern California |
Identification Number: |
doi:10.21979/N9/0O380V |
Authoring Entity: |
Tong, Ping (Nanyang Technological University) |
Software used in Production: |
PmPNet |
Grant Number: |
DMS-1937254 |
Grant Number: |
EAR-2000850 |
Grant Number: |
AcRF Tier-2 Grant (04MNP002073C230) |
Grant Number: |
AcRF Tier-2 Grant (04MNP002073C230) |
Grant Number: |
Research Centers of Excellence Initiative (Project Code Number: 04MNS001953A620) |
Grant Number: |
DMS-1818592 |
Grant Number: |
DMS-2109116 |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Tong, Ping |
Depositor: |
Tong, Ping |
Date of Deposit: |
2022-03-22 |
Holdings Information: |
https://doi.org/10.21979/N9/0O380V |
Study Scope |
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Keywords: |
Computer and Information Science, Earth and Environmental Sciences, Mathematical Sciences, Computer and Information Science, Earth and Environmental Sciences, Mathematical Sciences, Deep learning |
Abstract: |
Southern California PmP phase data expanded by a deep learning technique PmPNet. |
Kind of Data: |
Seismic Phase Data |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1029/2021JB023830 |
Bibliographic Citation: |
Ding, W., Li, T., Yang, X., Ren, K., & Tong, P. (2022). Deep Neural Networks for Creating Reliable PmP Database With a Case Study in Southern California. Journal of Geophysical Research: Solid Earth, 127(4), e2021JB023830. |
Citation |
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Identification Number: |
10356/170958 |
Bibliographic Citation: |
Ding, W., Li, T., Yang, X., Ren, K. & Tong, P. (2022). Deep neural networks for creating reliable PmP database with a case study in Southern California. Journal of Geophysical Research: Solid Earth, 127(4). |
Label: |
PmP_data.txt |
Notes: |
text/plain |
Label: |
PmP_Net.ipynb |
Text: |
Source code for PmPNet |
Notes: |
application/x-ipynb+json |
Label: |
PmP_traveltime_Net.ipynb |
Text: |
Source code for PmPTraveltimeNet |
Notes: |
application/x-ipynb+json |
Label: |
Readme.txt |
Notes: |
text/plain |