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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.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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1 to 10 of 94,606 Results
The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Nov 4, 2026 - CHEONG Siew Ann
Cheong, Siew Ann, 2026, "The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences", https://doi.org/10.21979/N9/AECVQV, DR-NTU (Data), V1
Open primary data sets, secondary data sets, and Python scripts for our study culminating in a manuscript submitted to the journal Advances in Complex Systems, for a special issue on the Asia-Pacific Conference on Networks and Complex Systems 2026, 9-12 Jun 2026, Singapore where...
calculate_information.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 18.1 KB - MD5: ccfe68ad9ee0caaab243db720640e1dd
convert_extractions.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 7.1 KB - MD5: c3295f429de116ab95664e3563b396dd
figstyle.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 1.1 KB - MD5: 2bc20a17a4153b2cefd2386cf828ac60
heidegger_info.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 16.7 KB - MD5: ba4c282455cd5d52084b2055d3c423bb
hp_data.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 2.3 KB - MD5: 977253480fc9a49bd60a5a0604302d4a
make_supplementary.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 7.1 KB - MD5: a43f0498dfac1461360bc117d21e6887
numbers_in_text.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 26.7 KB - MD5: 969789fc49d2346f3f0e093198bdaa3b
paths.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 2.4 KB - MD5: d150441cc51c759ef73cb59d2740df3e
recompute_bookscope.py
Nov 4, 2026 - The Most Surprising Parts of a Story: An Entropic-Quantified Narrative Analysis through the Temporal Graph Representation of Sentences
Python Source Code - 5.7 KB - MD5: 5f5ede4b8b12f15478e5fb5271b46b3d
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