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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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55,421 to 55,430 of 74,567 Results
ana_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 - 1013 B - MD5: 8348faa767e8abe69aeaea8bf3be1007
ana_profile.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: 023dfa1ae7ca88bc93e9ab409a16712a
an_area.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 - 213 B - MD5: 4ac7f8b1d199ad589effbde9b79079fa
an_color.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 - 1.0 KB - MD5: 09726204c780d21cdbe285ad073dba63
area_120.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 - 148.7 KB - MD5: a3940a6ff79fdc0a0c267e197a40bf50
area_200_100_ideal.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: a5cc80a969cb585419d84ad1c9ddca20
area_200_120_mix.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 - 7.7 KB - MD5: 295c32f7880503084126765ad621e149
area_200.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 - 241.5 KB - MD5: d728cc3ec16dda3e0f0cb07cc44f0d4c
area_80.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 - 248.3 KB - MD5: 227020e2070a9110312face541962a67
area_analy.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: f86b2fd485f3a3f25ecd65cae96a2877
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