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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.

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51,181 to 51,190 of 70,301 Results
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
figure2.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 - 59.6 KB - MD5: 9ed4605a3dfea4110694b7899443a2bd
fit_ellipse.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 - 9.7 KB - MD5: c3faaad19318bf8a0a34df6aad524833
gray_ana.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 - 555 B - MD5: 30453b554834762b3f6bdecd1601b8a2
gray_sort.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 - 282 B - MD5: cba3d9ac4f76996b488717256840384a
gudao40-rimgao.tab
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
Tabular Data - 3.1 KB - 2 Variables, 200 Observations - UNF:6:oQnBIWCSC8FnFZmsj7X6pA==
high-rim-low-rim.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 - 26.1 KB - MD5: e325074426b73861e0d85e420e253e8d
hist_number_side.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 - 474 B - MD5: 9f34bbc685376f0b504e6e789a07ceac
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