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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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70,341 to 70,350 of 74,493 Results
Fig4a.opj
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
Unknown - 146.2 KB - MD5: c056d69aae78ee3ca8344d388ba97c20
Fig4b.opj
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
Unknown - 103.4 KB - MD5: bda3122b111879445b5ec27babf80f89
Fig4c.opj
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
Unknown - 195.2 KB - MD5: e5ceb452d67a22414229ac808eec8baa
Fig4d.opj
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
Unknown - 196.7 KB - MD5: d021d6ecd42b2a5d436ade91c8285ce8
Fig4.png
Fig4.png
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
PNG Image - 255.3 KB - MD5: fe866a2d4e94adea7b6d8d8419f20af2
Figure1.ai
Figure1.ai
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
Adobe PDF - 623.4 KB - MD5: d418286af37f6119fce208f941bd2cf3
Figure1.png
Figure1.png
Apr 2, 2020 - Replication Data for: Quo vadis, perovskite emitters?
PNG Image - 236.0 KB - MD5: 422984e9fbdc0c557e2967b57b6996f0
SG_RFEvents.zip
Apr 2, 2020 - Replication Data for: Large-scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array
ZIP Archive - 2.6 GB - MD5: 6ae11a125e9d1d778a218256dc594fbb
Supplementary Table 1_Sea Level survey.xlsx
Mar 30, 2020 - Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment
MS Excel Spreadsheet - 71.5 KB - MD5: b9e2545adcf5250771c2230ed03618d8
Supplementary Table 2_Ranges_By_Background.tab
Mar 30, 2020 - Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment
Tabular Data - 498 B - 10 Variables, 5 Observations - UNF:6:gi+pBadty7560O3sZeGssg==
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