191 to 200 of 206 Results
Thant, Phyo Wai, 2025, "Replication Data for: Coral skeletal isotopes (δ¹³C and δ¹¹B) as indicators of seawater light attenuation and pH chemistry in the Singapore Strait", https://doi.org/10.21979/N9/WZEEQE, DR-NTU (Data), V1, UNF:6:mETEOGKU+F79Ja85RlQGaw== [fileUNF]
This dataset includes all data and R scripts applied for statistical analyses investigating the relationships between seawater parameters and variations in coral isotopic compositions under the influence of Southwest monsoonal cycles. It also comprises calculations of seawater CO... |
Jan 24, 2025 - Marlena JOPPIEN
Joppien, Marlena; Morgan, Kyle, 2025, "Replication Data for: Benthic mud content is a strong indicator of coral cover and ecosystem recovery on turbid coral reefs", https://doi.org/10.21979/N9/HNPL6N, DR-NTU (Data), V1, UNF:6:81xALxPRoX273024Z9odGA== [fileUNF]
This dataset comprises the raw data of grain size composition and sediment constituents of reef sediments sampled in Singapore, November 2021. It also includes Benthic community data collected in the same time period. |
Jan 23, 2025 - Music Therapy and ADHD
Koo, Yuning; Ng, Martina T.; Styles, Suzy J., 2025, "Pre-Registration for Systematic Review: Evaluating the Quality of Evidence for Music Therapy Interventions for Children Aged 6-12 Years with Attention-Deficit Hyperactivity Disorder", https://doi.org/10.21979/N9/BHKB37, DR-NTU (Data), V2
What is the quality of evidence for Music Therapy interventions for children aged 6-12 years old with Attention-Deficit Hyperactivity Disorder? This question will be addressed using a qualitative systematic review. This repository collects the documents for Preregistration. |
Jan 21, 2025 - Pradeep Kumar GOPALAKRISHNAN
Gopalakrishnan, Pradeep Kumar, 2025, "Supplementary Material for PhD Thesis", https://doi.org/10.21979/N9/GNBO93, DR-NTU (Data), V1
This dataset is part of the Supplementary Material of Pradeep Kumar Gopalakrishnan's PhD thesis. |
Jan 20, 2025 - Fuying DAO
Dao, Fuying, 2025, "Artificial Intelligence Prediction Across 12,000 Samples Shows Widespread Increased Gene-Gene Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities", https://doi.org/10.21979/N9/ORBU74, DR-NTU (Data), V1, UNF:6:yu/jmM9lAF6qjIBWiJ1ucw== [fileUNF]
Gene-gene chromatin interactions (GGIs) bring distal genes into close spatial proximity to permit strong co-expression, which could potentially contribute to cancer progression. High-throughput methods like Hi-C are impractical for very large cohort analyses, thus we developed AI... |
Jan 16, 2025 - S-Lab for Advanced Intelligence
Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2025, "SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)", https://doi.org/10.21979/N9/JDZOJE, DR-NTU (Data), V1
Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods focus on the human appearance reconstruction of every single frame while the temporal motion relati... |
Jan 16, 2025 - S-Lab for Advanced Intelligence
Hu, Tao; Hong, Fangzhou; Chen, Zhaoxi; Liu, Ziwei, 2025, "FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls", https://doi.org/10.21979/N9/WRPWAN, DR-NTU (Data), V1
We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with thre... |
Jan 15, 2025 - Sulfikar AMIR
Amir, Sulfikar, 2025, "Survey on Social Trust in AI", https://doi.org/10.21979/N9/OQF6TW, DR-NTU (Data), V1
This dataset results from a cross-country survey in East Asia |
Jan 15, 2025 - S-Lab for Advanced Intelligence
Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1
Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models... |
Jan 14, 2025 - GAO Tianshu
Gao, Tianshu, 2025, "Related Data for: 022116-00001", https://doi.org/10.21979/N9/ANA61C, DR-NTU (Data), V1, UNF:6:bPhXsI11A9D/LZAdYpXmOA== [fileUNF]
Polymer Electrolyte Membrane (PEM) and Seawater Electrolyzers Assembled from Single-Atom Catalysts |
