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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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55,531 to 55,540 of 74,567 Results
type-1-200points.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 - 520.5 KB - MD5: a24e529b7ead86fa1acfde5ad964d632
type-1-200points.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 - 4.1 KB - 2 Variables, 200 Observations - UNF:6:TIeUkKLjPKI/gSEMZlYB8g==
type1-show.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 - 925 B - 6 Variables, 21 Observations - UNF:6:/MfH55JRfsgMgquWJ/RLTg==
type-2-200points-2d.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 - 72.7 KB - MD5: 3a760631344deeab40505856145f66d0
type-2-200points.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 - 520.6 KB - MD5: 3b0bb5e29688de19fbc6b5e28b54dec7
type-2-200points.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 - 4.1 KB - 2 Variables, 200 Observations - UNF:6:iRFkKOZOKQ9kzobZi5pw6Q==
type-3-200points-2d.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 - 70.9 KB - MD5: 9347ea375bb69760f219396b2e6113f4
type-3-200points.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 - 516.6 KB - MD5: e69ef498257c6af43b86ad1fc03b1241
type-3-200points.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 - 4.1 KB - 2 Variables, 200 Observations - UNF:6:9YhLahk4vr58giv4px70tg==
used_abcd_total.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 - 27.5 KB - MD5: 86fd62c87eba108463023789629e3fee
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