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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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801 to 810 of 2,385 Results
Aug 14, 2023 - Rege Anushka Sachin
Rege, Anushka Sachin, 2023, "Replication Data for PhD Thesis Chapter 4: Bird species richness and abundances comparable across cashew plantations and forests and their relation to landscape features measurable with acoustic indices", https://doi.org/10.21979/N9/LXECZD, DR-NTU (Data), V2, UNF:6:kjKIIiFlIf8DaLK/dQezEQ== [fileUNF]
The data files for the PhD Thesis Chapter 4 with lead author Dr. Anushka Rege: Bird species richness and abundances comparable across cashew plantations and forests and their relation to landscape features measurable with acoustic indices.
Aug 14, 2023 - UMGC-L010 Research & Development of Methods for a Holistic Evaluation of AV Safety under Tropical Urban Conditions
Vijay, Roshan, 2023, "Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors", https://doi.org/10.21979/N9/NT8HIM, DR-NTU (Data), V1
This dataset contains LiDAR (Light Detection and Ranging) sensor return intensities of the Velodyne VLS-128 LiDAR sensor against various automotive paint panels. The panels have been tested at different angles and distances as well as different surface conditions such as dry and...
Aug 14, 2023 - UMGC-L010 Research & Development of Methods for a Holistic Evaluation of AV Safety under Tropical Urban Conditions
Vijay, Roshan, 2023, "LiDAR performance against automotive paint panels", https://doi.org/10.21979/N9/CGDKMZ, DR-NTU (Data), V1
This dataset contains LiDAR (Light Detection and Ranging) sensor return intensities of the Velodyne VLS-128 LiDAR sensor against various automotive paint panels. The panels have been tested at different angles and distances. The LiDAR sensor was tested at a constant rotation spee...
Aug 12, 2023 - NIE Data Repository (Harvested)
Guignard, Brice; Karcher, Claude; Reche, Xavier; Font, Roger; Komar, John, 2023, "Related Data for: Contextualizing physical data in professional handball: Using local positioning systems to automatically define defensive organizations", https://doi.org/10.25340/R4/AIRWI0
In handball, the way the team organizes itself in defense can greatly impact the player’s activity and displacement during the play, therefore impacting the match demands. This paper aims (1) to develop an automatic tool to detect and classify the defensive organization of the te...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 12, 2023 - NIE Data Repository (Harvested)
Lim, May Li; Chue, Kah Loong, 2023, "Related Data for: Academic resilience and test anxiety: The moderating role of achievement goals", https://doi.org/10.25340/R4/XPIZ6O
The present study examined the associations of academic resilience and achievement goals with test anxiety, and the moderating role of achievement goals in the relation between academic resilience and test anxiety among 1632 secondary one students from eight secondary schools in...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Aug 11, 2023 - MERLIon CCS Challenges
Chua, Victoria Yi Han; Garcia Perera, Leibny Paola; Khudanpur, Sanjeev; Khong, Andy W. H.; Dauwels, Justin; Woon, Fei Ting; Styles, Suzy J, 2023, "Development and Evaluation data for Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge", https://doi.org/10.21979/N9/ANXS8Z, DR-NTU (Data), V1, UNF:6:QFBERdU0YulYhMohwDaNWg== [fileUNF]
The inaugural Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge focuses on developing robust language identification and language diarization systems that are reliable for non-standard, accented, spontaneous...
Aug 11, 2023 - MERLIon CCS Challenges
Chua, Victoria Yi Han; Styles, Suzy J, 2023, "MERLIon CCS Challenge Development and Evaluation Datasets Open Preview (Documentation)", https://doi.org/10.21979/N9/4RHC3D, DR-NTU (Data), V1, UNF:6:gMeqVZk9eCvbqN6QXFyuWg== [fileUNF]
The inaugural Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge focuses on developing robust language identification and language diarization systems that are reliable for non-standard, accented, spontaneous...
Aug 4, 2023 - Wang Leyan
Seah, Geok Leng; Wang, Leyan; Tan, Li Fang; Tipjanrawee, Chanikarn; Sasangka, Wardhana A.; Usadi, Adam K.; McConnachie, Jonathan M.; Tan, Kwan W., 2023, "Replication Data for: Ordered Mesoporous Alumina with Tunable Morphologies and PoreSizes for CO2Capture and Dye Separation", https://doi.org/10.21979/N9/OLXPBS, DR-NTU (Data), V1
This dataset contains all raw data in the publication titled with "Ordered Mesoporous Alumina with Tunable Morphologies and Pore Sizes for CO2 Capture and Dye Separation"
Aug 4, 2023 - Wang Leyan
Wang, Leyan; Seah, Geok Leng; Li, Yun; Tu, Wei Han; Manalastas Jr., William; Reavley, Matthew J.-H.; Corcoran Jr., Edward W.; Usadi, Adam K.; Du, Zehui; Madhavi, Srinivasan; McConnachie, Jonathan M.; Ong, Hock Guan; Tan, Kwan W., 2023, "Replication Data for: Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating", https://doi.org/10.21979/N9/9JYA5Y, DR-NTU (Data), V1
This dataset contains all raw data in the publication titled with "Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating"
Aug 1, 2023 - Wei JIAN
Jian, Wei; Lo, Edmond Yat-Man; Stojanovski, Pane; Pan, Tso-Chien, 2023, "Related data for: Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia", https://doi.org/10.21979/N9/SMRBXH, DR-NTU (Data), V1, UNF:6:BI7pMDNUk3fa1zYAuCuqiQ== [fileUNF]
This data set contains the rate-adjusted STORM event sets and 100-year return period gust wind hazard maps related to the paper: Jian, W., Lo, E.Y-M., Stojanovski, P., & Pan, T-C. (2023). Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track...
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