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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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68,031 to 68,040 of 72,752 Results
Little Orangutan: What a Scary Storm!
Little Orangutan: What a Scary Storm!
Mar 27, 2020 - SESAME Research Tools
Styles, Suzy J, 2020, "Little Orangutan: What a Scary Storm!", https://doi.org/10.21979/N9/MJMFXV, DR-NTU (Data), V1
Styles, SJ (2020) 'Little Orangutan: What a Scary Storm! A Picture Story'. Part of the SESAME collection of research tools: Speech Elicitation for Spectral Analysis in a Multilingual Environment, developed by the BLIP Lab at NTU in Singapore. "This picture story has no written wo...
SESAME-Documentation_WhatAScaryStorm.pdf
SESAME-Documentation_WhatAScaryStorm.pdf
Mar 27, 2020 - Little Orangutan: What a Scary Storm!
Adobe PDF - 2.9 MB - MD5: 5718a224c9d421d2a165142fb0c2265f
Styles SJ (2020) SESAME Research Tool Documentation for 'What a Scary Storm!' Wordless Picture Book. This document describes the research tool, its uses and development with full credits to funding agencies and project contributors.
WhatAScaryStorm_WordlessPictureBook_Original.pdf
WhatAScaryStorm_WordlessPictureBook_Original.pdf
Mar 27, 2020 - Little Orangutan: What a Scary Storm!
Adobe PDF - 57.1 MB - MD5: 419148080b0bab24dc5912ce4f3c063f
Styles SJ (2020) Little Orangutan: What a Scary Storm. This file is the original picture book designed for A4 large format printing, or A3 size printing using the 'booklet' setting. Part of the collection of SESAME Research Tools developed in the BLIP Lab at NTU in Singapore
WhatAScaryStorm_WordlessPictureBook_ScreenVersion.pptx
Mar 27, 2020 - Little Orangutan: What a Scary Storm!
MS Powerpoint - 10.4 MB - MD5: 11b5388bee1e7244c2aca781a43310a4
Styles SJ (2020) Little Orangutan: What a Scary Storm. This file is a PowerPoint version of the original book with 2-page per view display, adapted for sharing onscreen including with screencasting software. Part of the collection of SESAME Research Tools developed in the BLIP La...
SESAME Research Tools(Nanyang Technological University)
Mar 27, 2020Suzy J. STYLES
SESAME: Speech Elicitation for Spectral Acoustics in a Multilingual Environment. The SESAME Research tools are a collection of Open Access materials designed to elicit different kinds of speech, including for fine-grained analysis of spectral acoustics. The collection includes Pi...
legend.txt
Mar 27, 2020 - Replication Data for: Campaign trail cliche: an analysis of U.S. politicians photo-taking behavior with children
Plain Text - 823 B - MD5: 352b02893349f884fac39d2cc99a7489
Documentation
Legend for db.csv
Development of endurance fitness test system and standards for airport emergency officer vocation
Mar 27, 2020 - Fabian C.L. LIM
Lim, Chin Leong Fabian, 2020, "Development of endurance fitness test system and standards for airport emergency officer vocation", https://doi.org/10.21979/N9/O43ICY, DR-NTU (Data), V1
This study is related to an earlier study in 2017 "Develop, design, recommend physical fitness tests and standards to assess airport emergency service (AES) officers' physical fitness level to perform their work in aircraft rescue fire-fighting (ARFF) effectively". Data for the s...
Fabian C.L. LIM(Nanyang Technological University)
Fabian C.L. LIM logo
Mar 27, 2020Lee Kong Chian School of Medicine
Appointment: Senior Lecturer Research topics: •Occupation and Metabolic Health •Self-reported Habitual Exercise and Metabolic Disease •Exercise Modality and Protection of Musculoskeletal Health
panda_data_gen.zip
Mar 26, 2020 - Panda images dataset
ZIP Archive - 443.9 MB - MD5: 8d935b5e129deaff4d8da419a2d8e143
Ground-truths generated from raw images and annotations using cropping, segmentation and alignment algorithms.
panda_data.zip
Mar 26, 2020 - Panda images dataset
ZIP Archive - 12.0 GB - MD5: ffa0c70a0bfe6661910ea76a2d2f47e5
Raw images in jpg format and annotations in csv formats.
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