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Deposit, archive and share your final research data in DR-NTU (Data)

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.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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55,501 to 55,510 of 74,567 Results
save_core_compo.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 636 B - MD5: 07696b3089d6c8b5fd900ff1ca973685
save_maps_compo.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 732 B - MD5: e7eb3ecbc0c3105deea6e2c08fbfaefa
sections.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 2.6 KB - MD5: 026bb04b25f0514ee6d52d3074f03bad
showsimilarity.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 339 B - MD5: 98ae6f1773013110ffeeff7fc50fface
simple-5zone-mix.mat
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Data - 37.3 KB - MD5: 87b22f7964bff5c549832e8a0698a956
simple_five_background.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 6.7 KB - MD5: 56aa21603ab03a95a63b46e446d42f47
specialcut.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 832 B - MD5: 229ecda9488a398b1daeac6debdd3d81
threetwo.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 564 B - MD5: a9e450c6f22098ea923159f5b1d4528d
top100-area.mat
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Data - 2.4 KB - MD5: 71c008866afdd3ecfc1b0b03b0aedb9e
triarea.m
Mar 9, 2021 - Replication Data for: Unraveling the presence of multiple plagioclase populations and identification of representative two-dimensional sections using a statistical and numerical approach
MATLAB Source Code - 309 B - MD5: 8264ca816576abca22cd8543ddeca7f1
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