Metrics
1,013,589 Downloads

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

52,081 to 52,090 of 71,285 Results
RAR Archive - 32.5 KB - MD5: c78427ec865e9b304c064a1d994509ca
Data
Gzip Archive - 145.8 MB - MD5: b40e5731baf87a905a632886d4e0118f
.csv tables with auxiliary input entries: samples in rows, RBP and chemically modifying protein transcript IDs in columns, each cell is the respective transcript abundance level (RPKM normalized); samples from all tissues concatenated together in the same table. Control .csv tabl...
Unknown - 1.2 GB - MD5: 350a556a70cfd1a67c35ad89c18e9c40
Gene dictionary containing pre-mRNA gene sequences (+1000nt flanks on both sides) for all the genes used for training, testing, and validation.
Gzip Archive - 7.1 GB - MD5: a29ee2cfda07c6a1fef1c09dc1da10f0
Test dataset for model training: each file contains splicing labels for each gene for a particular sample.
Gzip Archive - 6.3 GB - MD5: b39dd1f15804edb625fe8007fd408565
Train dataset for model training: each file contains splicing labels for each gene for a particular sample.
Gzip Archive - 696.2 MB - MD5: 8bd92fb727e907141d8204dea3f0bb61
Validation dataset for model training: each file contains splicing labels for each gene for a particular sample.
Add Data

Log in to create a dataverse or add a dataset.

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.