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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.

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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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71 to 80 of 74,791 Results
Chapter4.zipEmbargoed
May 15, 2026 - Replication Data for: Tsunami Hazard Assessment for Singapore and the Sunda Shelf Region
ZIP Archive - 230.1 MB - MD5: e9bc02082c8311e9d02516adac4900e2
Chapter5.zipEmbargoed
May 15, 2026 - Replication Data for: Tsunami Hazard Assessment for Singapore and the Sunda Shelf Region
ZIP Archive - 773.7 MB - MD5: a02ddde612022e3836e544b39df295f6
Chapter6.zipEmbargoed
May 15, 2026 - Replication Data for: Tsunami Hazard Assessment for Singapore and the Sunda Shelf Region
ZIP Archive - 643.0 MB - MD5: 677d1db92cf56327b0c2a20aa787b262
Chapter7.zipEmbargoed
May 15, 2026 - Replication Data for: Tsunami Hazard Assessment for Singapore and the Sunda Shelf Region
ZIP Archive - 170.0 MB - MD5: ea626fb3c52f5417aaa57c5d61060569
README.txtEmbargoed
May 15, 2026 - Replication Data for: Tsunami Hazard Assessment for Singapore and the Sunda Shelf Region
Plain Text - 2.3 KB - MD5: e11d45fe7233160d5e333b4ff98e5076
Documentation
TAN Elaine Hui Zhi (Nanyang Technological University)
May 15, 2026Asian School of the Environment (ASE)
formulation_dataset.tab
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Tabular Data - 3.3 KB - 9 Variables, 33 Observations - UNF:6:pwvtzs/i9lhD4qajU1kmcA==
physicoML_converted.txt
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Plain Text - 17.0 KB - MD5: 4b1ead23e3be1abffd81cd4b00f4df26
jupyternotebook file converted to text.
physicoML.ipynb
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Jupyter Notebook - 158.2 KB - MD5: 019a813ce7c6e1b81e4f1ad7c023e27b
polymer_information_ML.tab
May 14, 2026 - Replication data for: Physicochemical-informed predictive modelling on small datasets for designing conductive polymer inks in soft bioelectronics
Tabular Data - 505 B - 15 Variables, 14 Observations - UNF:6:+dsAPDvo5F2KdD4yDde03A==
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