This dataverse is a collection of the Lee Kong Chian School of Medicine’s research data.

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

621 to 630 of 652 Results
2018_04_04__16_22__0017.czi
Jan 16, 2020 - Autophagy Governs Protumorigenic Effects of Mitotic Slippage-induced Senescence.
Unknown - 2.7 GB - MD5: c832f0c505a5481147467c907f997a91
2018_04_04__16_22__0018.czi
Jan 16, 2020 - Autophagy Governs Protumorigenic Effects of Mitotic Slippage-induced Senescence.
Unknown - 2.6 GB - MD5: 56b1d13b32a1ea63275b99df583d8716
2018_04_04__16_22__0019.czi
Jan 16, 2020 - Autophagy Governs Protumorigenic Effects of Mitotic Slippage-induced Senescence.
Unknown - 2.9 GB - MD5: e53fcb2561f53f6bc76bbd9c662480ff
2018_04_04__16_23__0020.czi
Jan 16, 2020 - Autophagy Governs Protumorigenic Effects of Mitotic Slippage-induced Senescence.
Unknown - 2.8 GB - MD5: 41b17d9ff2ff46242ab5893bd29a283c
2018_04_04__16_23__0021.czi
Jan 16, 2020 - Autophagy Governs Protumorigenic Effects of Mitotic Slippage-induced Senescence.
Unknown - 2.8 GB - MD5: c091a222f02da4ebeebdbc434f88257d
2018_04_04__16_23__0022.czi
Jan 16, 2020 - Autophagy Governs Protumorigenic Effects of Mitotic Slippage-induced Senescence.
Unknown - 2.6 GB - MD5: b75373e6199a50c317e060b5eb9333d8
Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice
Nov 11, 2019 - Good Research Practice Office
Lau, Hui Xing, 2019, "Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice", https://doi.org/10.21979/N9/PXZSCB, DR-NTU (Data), V1, UNF:6:+1q1zYCoAulG3tuNLpthUg== [fileUNF]
This dataset contains the primary data for the project "Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice". It includes surveys of PIs and researchers and use of a central data repository (SDS) by each laboratory.
data.tab
Nov 11, 2019 - Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice
Tabular Data - 408 B - 4 Variables, 40 Observations - UNF:6:N/7jIWPjY8FByaShXZ7oRA==
Dataset used for R
Final R Code.txt
Nov 11, 2019 - Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice
Plain Text - 130 B - MD5: 37723177b0410dd8889b09d96c54f004
R code for nparLD
SDS Final Data.tab
Nov 11, 2019 - Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice
Tabular Data - 1.8 KB - 11 Variables, 24 Observations - UNF:6:xmqaGdqe4RYlCfmlejC8Yw==
Data deposition of laboratories
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.