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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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70,281 to 70,290 of 71,321 Results
Sarawak DOC project 2017 (Nanyang Technological University)
Nov 14, 2018Patrick MARTIN
Dataverse for raw data from Sarawak 2017 research project on peatland dissolved organic matter transport to sea. Data in this dataverse have been submitted to Biogeosciences Discussion as: P Martin et al. (2018) Distribution and cycling of terrigenous dissolved organic carbon in...
Patrick MARTIN(Nanyang Technological University)
Patrick MARTIN logo
Nov 14, 2018Marine biogeochemistry group
Research topics: My research interest focus on the cycling of carbon, nitrogen, and phosphorus in the marine environment. The cycling of these elements is an essential part of the global climate system, and is also critical in supporting healthy marine ecosystems. My research con...
Marine biogeochemistry group(Nanyang Technological University)
Nov 14, 2018Asian School of the Environment (ASE)
Dataverse for marine biogeochemistry research group at ASE (PI Dr. Patrick Martin)
Nov 10, 2018 - R code for data analysis
Plain Text - 4.7 KB - MD5: bb08d7eb8e38dfaec665eb52ebe609ae
Nov 10, 2018 - R code for data analysis
Plain Text - 11.4 KB - MD5: c8be94a5d30e3410d38b642447a5e2be
Tabular Data - 17.8 MB - 19 Variables, 225710 Observations - UNF:6:RLvhNW+GJpaAtza0dw/PrA==
Tabular Data - 8.5 KB - 22 Variables, 40 Observations - UNF:6:3CSK2fZ51Iy0Wezd7b+0Qg==
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