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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.

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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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2,441 to 2,450 of 3,301 Results
Nivedita Sanwlani(Nanyang Technological University)
Nivedita Sanwlani logo
Jul 24, 2020Asian School of the Environment (ASE)
A strong connection to nature increases a person’s care for animals when made to feel lonely(Nanyang Technological University)
Jul 24, 2020Kenichi Ito
We investigated whether persons’ sense of connectedness with nature could substitute a loss of belongingness through increased interest and concern for animals. We manipulated participants’ perceived sense of connectedness to other humans by providing them false results from a qu...
Zip's Law Null Model Samples for Reuters News Corpus
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Zip's Law Null Model Samples for Reuters News Corpus", https://doi.org/10.21979/N9/EC76OJ, DR-NTU (Data), V1
npy files containing Zipf's Law null model samples for Reuters news corpus.
Bigram-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Bigram-Based Comparison of Keywords From Different Methods for Reuters News Corpus", https://doi.org/10.21979/N9/YMVWYW, DR-NTU (Data), V1
npy files containing the number of matching bigrams as a function of list length for different pairs of methods applied to the Reuters news corpus.
Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus", https://doi.org/10.21979/N9/1YOH1P, DR-NTU (Data), V1
npy files containing the number of matching words as a function of list length for different pairs of methods applied to the Reuters news corpus.
Log Rank Movements
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Log Rank Movements", https://doi.org/10.21979/N9/S6XPII, DR-NTU (Data), V1
npy files for the log rank movements for words and bigrams of Reuters news corpus.
Ordered Bigrams, Ordered Bigram Dictionaries, All Bigrams, Master Bigram Dictionary, and Sorted Master Bigram Dictionary
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Ordered Bigrams, Ordered Bigram Dictionaries, All Bigrams, Master Bigram Dictionary, and Sorted Master Bigram Dictionary", https://doi.org/10.21979/N9/RT6QFP, DR-NTU (Data), V1
npy files for ordered bigrams, ordered bigram dictionaries, all bigrams, master bigram dictionary, and sorted master bigram dictionary of the Reuters news corpus.
Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary", https://doi.org/10.21979/N9/L09RSR, DR-NTU (Data), V1
npy files for the ordered words, ordered dictionaries, all words, master dictionary, sorted master dictionary for the Reuters news corpus.
Reuters News Corpus(Nanyang Technological University)
Jul 21, 2020The Log Word Rank Movement Method for Keyword Identification
This dataverse contains all the npy files generated and used in the project on the Log Word Rank Movement Method for Keyword Identification.
ACM-TSEM Corpus for Testing the Use of Wrong Ranks or Wrong Corpus
Jul 21, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "ACM-TSEM Corpus for Testing the Use of Wrong Ranks or Wrong Corpus", https://doi.org/10.21979/N9/OHMS4W, DR-NTU (Data), V1
npy file containing all tokens from the ACM-TSEM corpus, for testing the use of wrong ranks or wrong corpus on the ACM-TWEB keywords and key bigrams.
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