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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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55,431 to 55,440 of 74,567 Results
area_area_total1.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 - 19.0 KB - MD5: dee02befe8b9cdcfb3730364840d4cf3
area_area_total2.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 - 18.3 KB - MD5: 2ac1747831435ae5877777ae64f466bd
area_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 - 5.0 KB - MD5: 71dc141c958ce2c7f67f892c214343bb
area_distribution_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 - 7.1 KB - MD5: d928517204b2b53dd45e9f7a1233ca4b
area_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 - 114.9 KB - MD5: 629f42dc3470433f9ffa212c46883e6f
area_rim_dif_core_rimdi.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 - 238.1 KB - MD5: 43a42eb80c8a1dc4f59b0c09f6785d70
area_rim_dif_core_rimgao.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 - 248.1 KB - MD5: bfb17f9e6d98ec849999a64fa5f8a6bd
Change the PZP.docx
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
MS Word - 21.8 KB - MD5: e34836af680e44520b7c7b7380e332fc
coeofmaps2.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 - 409 B - MD5: b792334beb1705c8b70d5cb5a706a878
compo1.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 - 183 B - MD5: bcec3905fa19a36b81675ddbc8293659
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