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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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64,671 to 64,680 of 74,573 Results
Test6.rar
Jun 2, 2020 - Replication Data for: High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading
RAR Archive - 24.4 MB - MD5: ca7706d5832c91066160abaab675a48d
Exp_1_conventional.tab
Jun 1, 2020 - Data on Preschoolers’ Resource Allocation to Ingroup and Outgroup Recipients with Varying Moral Attributes
Tabular Data - 27.2 KB - 12 Variables, 264 Observations - UNF:6:DkCyuCqZbpqA67Anq+Unfw==
Exp_2_moral.tab
Jun 1, 2020 - Data on Preschoolers’ Resource Allocation to Ingroup and Outgroup Recipients with Varying Moral Attributes
Tabular Data - 26.5 KB - 12 Variables, 256 Observations - UNF:6:Q+cJKXHnCcJlBTUAmUrwlQ==
resource_allocation-2019.R
Jun 1, 2020 - Data on Preschoolers’ Resource Allocation to Ingroup and Outgroup Recipients with Varying Moral Attributes
R Syntax - 5.5 KB - MD5: 7c2ee86ba038b5a8cc0dd089b8f7fc14
20190923_MentalStateTalk_Data.tab
Jun 1, 2020 - She thinks in English, but she wants in Mandarin: Differences in Singaporean bilingual English-Mandarin mothers’ mental-state-talk
Tabular Data - 1.3 KB - 9 Variables, 30 Observations - UNF:6:+EAit+x1Yp0gQvm+fyhqxA==
1i
May 31, 2020 - Thesis Chapter 4 FID
Unknown - 128.0 KB - MD5: 6f21993ebe14d00f28ef2e2f4e41f532
1i
May 31, 2020 - Thesis Chapter 4 FID
Unknown - 128.0 KB - MD5: 3e2a50b9686acfbe8f29cd32cb5aabca
1i
May 31, 2020 - Thesis Chapter 4 FID
Unknown - 128.0 KB - MD5: 930e3f9c8de75bbc1aba228ee7b82c0e
1i
May 31, 2020 - Thesis Chapter 4 FID
Unknown - 128.0 KB - MD5: 60601418bc26e369bc8741501bb24dd0
1i
May 31, 2020 - Thesis Chapter 4 FID
Unknown - 128.0 KB - MD5: 297c56725e2ddf7ab00ed2d921b8edfe
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