DR-NTU (Data)

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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.

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FAIR Datasets

NIE Data Repository (Harvested)

Asian School of the Environment (ASE)

College of Computing and Data Science (CCDS)

Earth Observatory of Singapore (EOS)

Graduate College

Lee Kong Chian School of Medicine

Nanyang Business School (NBS)

School of Art, Design and Media (ADM)

School of Biological Sciences (SBS)

School of Chemistry, Chemical Engineering and Biotechnology (CCEB)

School of Civil and Environmental Engineering (CEE)

School of Electrical and Electronic Engineering (EEE)

School of Humanities

School of Materials Science and Engineering (MSE)

School of Mechanical and Aerospace Engineering (MAE)

School of Physical and Mathematical Sciences (SPMS)

School of Social Sciences (SSS)

S. Rajaratnam School of International Studies

Wee Kim Wee School of Communication and Information (WKWSCI)

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1 to 10 of 87,212 Results

Replication Data for: Recovering topological information of light by topological learning(Nanyang Technological University) Aug 21, 2026School of Physical and Mathematical Sciences (SPMS) Replication Data and Code for the paper: Recovering topological information of light by topological learning
approximate_cons_models_100_3.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 123.9 MB - MD5: 7cd2b57371973cec17482efe4baa38af Approximate consumer models using simulation data
readme.md Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Markdown Text - 738 B - MD5: 99dac3f6c8b4464ca698e66431bfa302 Readme
real_consumer_models_100.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 310.9 MB - MD5: 82fd6c3d135cd8fc988d120f3d9dfa80 Actual models used for evaluation
real_consumer_models_sarran_override_model.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 78.2 MB - MD5: 02ceb3e8dd7e1778575a6ce9f5e2f2c9 Actual models with override behaviour based on Sarran et al 2024
real_consumer_models_stochastic_override_model.dat Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Fixed Field Text Data - 310.9 MB - MD5: 83fc5920cc453ffa08e19e41dc2ec15b Actual models with stochastic override behaviour
SGP_Singapore.486980_IWEC.tab Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data Tabular Data - 7.7 MB - 32 Variables, 8760 Observations - UNF:6:yVOI7v3nxbWQJc7oj81xpQ== Weather data for Singapore
Sharath Ram KUMAR (Nanyang Technological University) Aug 20, 2026Graduate College
fig2.py Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Python Source Code - 6.6 KB - MD5: 4f98a8c6a6ffff6be25b15de8afb6837
fig3.py Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers Python Source Code - 7.4 KB - MD5: 1e41ea7ce286e7a43810bf1743a39049

Replication Data for: Recovering topological information of light by topological learning(Nanyang Technological University)

Aug 21, 2026School of Physical and Mathematical Sciences (SPMS)

Replication Data and Code for the paper: Recovering topological information of light by topological learning

approximate_cons_models_100_3.dat

Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data

Fixed Field Text Data - 123.9 MB -

Approximate consumer models using simulation data

readme.md

Aug 20, 2026 - Replication Data for: Deep reinforcement learning for coordinated air-conditioner control in groups of buildings using smart meter data

Markdown Text - 738 B -

Readme

real_consumer_models_100.dat