Metrics
1,015,995 Downloads
Contact Share

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

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

70,241 to 70,250 of 71,285 Results
Sarawak 2017 CDOM analysis.R
Nov 14, 2018 - Replication Data for: Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo
R Syntax - 134.1 KB - MD5: beba461cdb87f173664a96ee16c685c2
R code used to analyse CDOM data using the hyperSpec package
CTD data.zip
Nov 14, 2018 - Replication Data for: Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo
ZIP Archive - 6.2 MB - MD5: cb43707e9f9823432ff47ffd9678823b
Sarawak CDOM for repository.zip
Nov 14, 2018 - Replication Data for: Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo
ZIP Archive - 28.6 MB - MD5: 58a4d34807246fb9f5be483ea393c979
Sarawak chlorophyll.zip
Nov 14, 2018 - Replication Data for: Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo
ZIP Archive - 108.9 KB - MD5: 864db243f9fae379cfef4fc1eaf1b2d9
Sarawak DOC data.zip
Nov 14, 2018 - Replication Data for: Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo
ZIP Archive - 894.0 KB - MD5: d43e7f847c8705dd4fdcb4ff077062b0
Sarawak TSS data.zip
Nov 14, 2018 - Replication Data for: Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo
ZIP Archive - 72.2 KB - MD5: ef1df9595461c12811643d4b96a82fe1
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)
Styles2018_CoinFlipping.pdf
Styles2018_CoinFlipping.pdf
Nov 12, 2018 - Coin-Flipping Cowboys: The wild west of data science, lucky cowboys and picking your team after the rodeo is over
Adobe PDF - 332.0 KB - MD5: 519d6cc8b5da728e79274715a805277a
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.