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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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58,471 to 58,480 of 73,650 Results
raw-results.tar
Aug 7, 2020 - Replication Data for: GenSlice: Generalized Semantic History Slicing
TAR Archive - 165.3 MB - MD5: 7daf37461207cb15da0d96121e626e0c
Raw data obtained in the GenSlice experiments
Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
Aug 6, 2020 - Ng Si En, Timothy
Ng, Timothy Si En, 2020, "Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing", https://doi.org/10.21979/N9/YWTJBM, DR-NTU (Data), V3, UNF:6:RrJmBWPTzVxOHhkjk7DChA== [fileUNF]
This dataset contains electrical and materials measurements for the analysis of the paper "Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing"
Figure1_IV_1to20.xls
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Excel Spreadsheet - 1.5 MB - MD5: c15ec9ff09b0ccdfa2f1860dcdf79095
Endurance
Figure1_IV_21to40.xls
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Excel Spreadsheet - 1.4 MB - MD5: fb1b243c520e22256a8a4ac457e693dc
Endurance
Figure1_IV_41to60.xls
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Excel Spreadsheet - 1.4 MB - MD5: 4e44fb3b906f2954bb254a8601977cb9
Endurance
Figure1_IV_61to80.xls
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Excel Spreadsheet - 1.4 MB - MD5: 8631478471413137b13f7cf0c37cf2e6
Endurance
Figure1_IV_81to100.xls
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Excel Spreadsheet - 1.4 MB - MD5: 6220cfb0df17e1d5cd8bdd99d99b67a8
Endurance
Figure3_Soft boundaries protocol.docx
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Word - 363.7 KB - MD5: 4f5f5ec3336ec982558813663fc7e0fb
Soft boundary analysis protocol
Figure4_STDP protocol.docx
Aug 6, 2020 - Replication Data for: Forming-Less Compliance-Free Multi-State Memristors as Synaptic Connections for Brain-Inspired Computing
MS Word - 62.2 KB - MD5: 0fd3aff91cec53fb18d1d16e295f64f7
STDP measurement protocol
Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages
Aug 6, 2020 - Social and Affective Neuroscience
Esposito, Gianluca; Gabrieli, Giulio, 2019, "Related Data for: Machine Learning Estimation of users' Implicit and Explicit Aesthetic Judgments of Web-Pages", https://doi.org/10.21979/N9/YCDXNE, DR-NTU (Data), V2, UNF:6:OXjgBp2o1P5HHQM/zPdxYA== [fileUNF]
The aesthetic appearance of websites can influence the perception of their usability, reliability, and trustworthiness. Several studies investigated the relationship between single aesthetic features and explicit aesthetic judgments, demonstrating the existence of attribution bia...
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