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★ The dataset adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principles, and provide documentation to support reusability.
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★ The associated article is open access via DR-NTU.
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141 to 150 of 893 Results
Scale-8.stl
Jul 16, 2024 - Related Data for: Scale-Inspired Programmable Robotic Structures with Concurrent Shape Morphing and Stiffness Variation
STL Format - 70.5 KB - MD5: 1f3eebd59b11370bd9e7d978fcb98a9e
Scale-8.stl
Jul 16, 2024 - Related Data for: Scale-Inspired Programmable Robotic Structures with Concurrent Shape Morphing and Stiffness Variation
STL Format - 70.4 KB - MD5: 34f069f05482ee86f42b1f75a259bb99
Scale-9.stl
Jul 16, 2024 - Related Data for: Scale-Inspired Programmable Robotic Structures with Concurrent Shape Morphing and Stiffness Variation
STL Format - 70.6 KB - MD5: 3a96112bb380fa93826cef1b7c6eb9c5
Scale-9.stl
Jul 16, 2024 - Related Data for: Scale-Inspired Programmable Robotic Structures with Concurrent Shape Morphing and Stiffness Variation
STL Format - 49.0 KB - MD5: 56bf9b2a426cb469c2f6f644db1e72e4
Scales-dome.stl
Jul 16, 2024 - Related Data for: Scale-Inspired Programmable Robotic Structures with Concurrent Shape Morphing and Stiffness Variation
STL Format - 63.1 KB - MD5: 1e86eed222fb6adbab5af21161022e46
Scales-saddle.stl
Jul 16, 2024 - Related Data for: Scale-Inspired Programmable Robotic Structures with Concurrent Shape Morphing and Stiffness Variation
STL Format - 63.1 KB - MD5: 1e86eed222fb6adbab5af21161022e46
Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
Jul 6, 2024 - Digital Signal Processing Laboratory
Lam, Bhan; Ong, Zhen-Ting; Ooi, Kenneth; Boey, Vanessa; Lee, Irene; Gan, Woon-Seng, 2024, "Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas", https://doi.org/10.21979/N9/NEH5TR, DR-NTU (Data), V1, UNF:6:9KOXblQ6z2TXvHhC2clk1w== [fileUNF]
This dataset contains the following data tables: amss_insitu_participant_data.csv: Participant responses to site evaluation comb_obj_insitu_session_data.csv: Per session combined objective acoustic measurement and subjective response data The variables contained in each data tabl...
amss_insitu_participant_data.tab
Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
Tabular Data - 55.0 KB - 90 Variables, 205 Observations - UNF:6:52pESJGuyfEQILbc8nImyQ==
Participant responses to site evaluation questionnaire and participant information questionnaire
comb_obj_insitu_session_data.tab
Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
Tabular Data - 33.3 KB - 10 Variables, 440 Observations - UNF:6:auze+RNDNLrv5GvfQpfEWg==
Per session combined objective acoustic measurement and subjective response data
enviro_session_data.tab
Jul 6, 2024 - Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
Tabular Data - 4.2 KB - 9 Variables, 68 Observations - UNF:6:DLP7Ahd3xy0l7c3DDjEBew==
Environmental data logged during the 10-min listening period per session
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