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DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

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53,801 to 53,810 of 73,632 Results
sundamt.seg
Feb 25, 2021 - Code for inverse method
Unknown - 279 B - MD5: 2fa8283cfac3f409f8a2262d2f14e55d
variableISC_espm_joint_inversion_1819_1839.m
Feb 25, 2021 - Code for inverse method
MATLAB Source Code - 7.8 KB - MD5: daf0ea8e8d889c44c2d86f5150b1a802
variableISC_espm_lock_creep_inversion_1819_1839.m
Feb 25, 2021 - Code for inverse method
MATLAB Source Code - 9.4 KB - MD5: f8a85dd5d003c2043182612fa47151c1
weighted_hist.m
Feb 25, 2021 - Code for inverse method
MATLAB Source Code - 885 B - MD5: 270b58ed301b1c6c829e93961aeedc83
Numerical model of slow-slip event
Feb 25, 2021 - Long-lived slow-slip events
Mallick, Rishav, 2021, "Numerical model of slow-slip event", https://doi.org/10.21979/N9/ZLMWRW, DR-NTU (Data), V1
MATLAB scripts to generate an SSE due to coupled pore-fluid pressure and frictional strength evolution. This requires the unicycle library - https://github.com/jdpmoore/unicycle
eqcycle_accelerationage_pinnedmegathrust2d_ode.m
Feb 25, 2021 - Numerical model of slow-slip event
MATLAB Source Code - 1.6 KB - MD5: 09acc5a08e4e52a2e002ec6d408e9e13
eqcycle_normload_lintaper_2d_ode.m
Feb 25, 2021 - Numerical model of slow-slip event
MATLAB Source Code - 1.3 KB - MD5: 1954917108679cc69c1c099aa25022c3
flt_2D_sse.seg
Feb 25, 2021 - Numerical model of slow-slip event
Unknown - 257 B - MD5: 927bd043e3724ae9742ccdf410cab563
SSEnumericalmodel_PAPER.m
Feb 25, 2021 - Numerical model of slow-slip event
MATLAB Source Code - 8.2 KB - MD5: 4eb98eb5c015f643a7964ad90d5fa50a
Long-lived slow-slip events(Nanyang Technological University)
Feb 25, 2021Rishav Mallick
This dataverse contains the data and code to reproduce the results of the journal article - Mallick et al., Long-lived slow-slip events on the Sunda megathrust, 2021, Nature Geoscience
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