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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.

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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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55,511 to 55,520 of 74,567 Results
twopopulation-rimdi-200-2d.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 - 71.8 KB - MD5: 5114bb458aa7ccc64afb60cb4be0b099
twopopulation-rimdi-200.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 - 517.5 KB - MD5: 56b7b60c56430241b2167a0fd1f68cf8
twopopulation-rimdi-200.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:M+RnSxT0pjmZu1KRVA61bw==
twopopulation-rimfive-200-2d.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: c2653326aa50f20922b66b0c316dcc86
twopopulation-rimfive-200.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 - 516.5 KB - MD5: b06e89471936f51bc131557ba5e63c8a
twopopulation-rimfive-200.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==
twopopulation-rimgao-200-2d.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 - 69.7 KB - MD5: 5a99ff7d2a70b74fbe0e7e983ae20f9c
twopopulation-rimgao-200.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 - 512.5 KB - MD5: 0e6d42333fc556949463c197805c2f25
twopopulation-rimgao-200.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:oQnBIWCSC8FnFZmsj7X6pA==
twopopulation-rimkuan-200-2d.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 - 71.2 KB - MD5: 3e0099e5e49445312f7e4738e613d30d
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