Metrics
992,506 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

53,841 to 53,850 of 73,650 Results
main_inputs_train.tar.gz
Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
Gzip Archive - 6.3 GB - MD5: b39dd1f15804edb625fe8007fd408565
Train dataset for model training: each file contains splicing labels for each gene for a particular sample.
main_inputs_valid.tar.gz
Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
Gzip Archive - 696.2 MB - MD5: 8bd92fb727e907141d8204dea3f0bb61
Validation dataset for model training: each file contains splicing labels for each gene for a particular sample.
Korsakova Anna(Nanyang Technological University)
Feb 25, 2021School of Physical and Mathematical Sciences (SPMS)
Markus encoded 葛仙翁肘後備急方
Feb 23, 2021 - Daoist
Stanley-Baker, Michael; Wu, Ruei-Ming; Chang, Chao-jan; Xu Duoduo, 2018, "Markus encoded 葛仙翁肘後備急方", https://doi.org/10.21979/N9/BHWDZ9, DR-NTU (Data), V2
This dataset contains the Markus encoded text file of 葛仙翁肘後備急方(Ge xianweng zhouhou beiji fang). Most of the metadata are based on information obtained from Schipper & Verellen’s Daoist Canon (published in 2004), unless stated otherwise. Where a date range is listed as one half of...
KR5g0115_001.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 232.8 KB - MD5: 886c453f3d4b7fa42f3640650d6b2782
Markups
KR5g0115_002.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 289.6 KB - MD5: 183f3ac81630d5f55c90c83737acc1b1
KR5g0115_003.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 380.6 KB - MD5: 0d86ff5013d7714c2d74a8a46c7af1f5
KR5g0115_004.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 357.5 KB - MD5: 961e9dddb1295979570ea19f56511c2e
KR5g0115_005.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 333.6 KB - MD5: e9bb9fc89b7206f60570e21e093d6ae3
KR5g0115_006.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 266.4 KB - MD5: 23a06fd00c268d9d6a1c5c46b091b5dc
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.