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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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53,801 to 53,810 of 73,601 Results
KR5g0115_006.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 266.4 KB - MD5: 23a06fd00c268d9d6a1c5c46b091b5dc
KR5g0115_007.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 278.9 KB - MD5: 69db1c63ac0647685995f50556e9eea6
KR5g0115_008.txt.html
Feb 23, 2021 - Markus encoded 葛仙翁肘後備急方
HTML - 95.6 KB - MD5: 820642c876cb7d81de768c8580a821b5
肘後方.DocuSkyEdition.xml
Feb 23, 2021 - 葛仙翁肘後備急方 Fulltext Database
XML - 5.1 MB - MD5: 5d203fb8ade57ca19279ec9411ba697c
DocuSky Compilation of 肘後方. Internal metadata takes subject headers describing the disease and attaches them to individual recipes, which contain no internal signifiers indicating what the recipe is for. Users can navigate this in DocuSky using the Tag/Comment tools on the right...
Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan
Feb 21, 2021 - CHEONG Siew Ann
Cheong, Siew Ann, 2021, "Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan", https://doi.org/10.21979/N9/8XMZGF, DR-NTU (Data), V1
Data sets and Python scripts for paper published by T.-W. Yen and S. A. Cheong in Frontiers in Physics for a special issue "From Physics to Econophysics back to Physics: Methods and Insights".
Betti_numbers.m
Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan
MATLAB Source Code - 1.9 KB - MD5: d41f4325d2b830d283305dfede97a5d7
frontiers_TDA.ipynb
Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan
Jupyter Notebook - 181.3 KB - MD5: b73e1399aa5ac6d98b679e9637130fa8
Instruction.txt
Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan
Plain Text - 1.1 KB - MD5: 0d4fa94c7fe65f0c84d6c003454dc899
RetrieveStockPriceData.ipynb
Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan
Jupyter Notebook - 6.7 KB - MD5: e8976c6585f440b9500ec83ee3b043ba
tickers_SGX.csv
Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan
Comma Separated Values - 10.4 KB - MD5: fb78675387ab0cbdea8267be37fa46f0
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