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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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55,441 to 55,450 of 74,567 Results
compo2.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 - 182 B - MD5: b89d40a9a277cff894b714e0e6565b8b
compo.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 - 1.5 KB - MD5: 71a7e510649be4f6ebc8108937575bcc
compo_mix_1-1-2-8080.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 - 1.1 KB - MD5: 8cece840a93343bf14ac06652f9a2bf2
core_distribution.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 - 684 B - MD5: e9eb58b1f35bdd42322fda09bc41f918
cutimage.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 - 572 B - MD5: 250d8b5230e22803c812925a415ca7b1
down_up.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 - 1.4 KB - MD5: 00d25651ecaa66406b9ff80165092d6a
eachcrystal_simi.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 - 3.4 KB - MD5: cd17bb05613d6bac2792494399368cfc
EllipseFitByTaubin.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 - 2.1 KB - MD5: e15630b88e9dec9a3499327a0e46fee8
figure2-1-1-2-100idealsection.fig
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 Figure - 1018.9 KB - MD5: 83ee1590008b1977e35a0f5d8ecce527
figure2-1-1-2-100idealsection.tif
figure2-1-1-2-100idealsection.tif
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
TIFF Image - 178.7 KB - MD5: 56f8ee4906cd93683296555c907cff1b
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