Metrics
1,067,526 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

60,201 to 60,210 of 74,803 Results
Hadke Shreyash Sudhakar(Nanyang Technological University)
Aug 4, 2020School of Materials Science and Engineering (MSE)
Database.tab
Aug 4, 2020 - Related Data for: Serotonin transporter gene polymorphisms and confidence in adult relationships affect the number of followed people on Instagram
Tabular Data - 2.2 KB - 10 Variables, 58 Observations - UNF:6:3sn/pziJLhZ4n2PnYD0Iuw==
Data
BONASSI ET AL., 2020 ########## # LEGEND # ########## The dataset contains the following ten variables as columns: 1) "Gender" ("Male" | "Female") 2) "IG_posts" (Instagram number of published posts) 3) "IG_followers" (Instagram number of followers) 4) "IG_following"...
Legend.txt
Aug 4, 2020 - Related Data for: Serotonin transporter gene polymorphisms and confidence in adult relationships affect the number of followed people on Instagram
Plain Text - 804 B - MD5: b9ed837885c407d648102c3a2e8f179b
Documentation
Legend
generate_lowmc-m.py
Aug 2, 2020 - Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers
Python Source Code - 7.7 KB - MD5: 7dade11177a0dc6971f98f3acbe76d31
README.md
Aug 2, 2020 - Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers
Markdown Text - 492 B - MD5: bb0ce85ce5d10cdcecdc298b87a96bcc
SHAKE128.py
Aug 2, 2020 - Replication data for: The MALICIOUS Framework: Embedding Backdoors into Tweakable Block Ciphers
Python Source Code - 4.7 KB - MD5: 80400590c7f34863437c54385066c8ee
AES128_7R_FW_Eq_Sol.txt
Aug 2, 2020 - Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes
Plain Text - 1.9 MB - MD5: 8b15a424c205e15866b10be52306478a
AES128_7R_FW_Eq.txt
Aug 2, 2020 - Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes
Plain Text - 2.1 KB - MD5: 69f377266a59603f144c0103708e7af5
AES192_8R_FW_Eq_Sol.txt
Aug 2, 2020 - Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes
Plain Text - 1.9 MB - MD5: 0b243aacd5e58aad5476176231d2c0fa
AES192_8R_FW_Eq.txt
Aug 2, 2020 - Replication data for: Improved Meet-in-the-Middle Preimage Attacks against AES Hashing Modes
Plain Text - 2.1 KB - MD5: 8738bdc8a2f15133c180ce052610e706
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.