DR-NTU (Data) (Nanyang Technological University)
DR-NTU (Data) (Nanyang Technological University)Not a member yet
1955 research outputs found
Sort by
Audio stimuli for: Adult-infant neural coupling mediates infants’ selection of socially-relevant stimuli for learning across cultures
No full textSummary: Contains the audio stimuli files recorded from an adult volunteer used in the experimental paradigm. Detailed experimental design and stimulus characteristics are described in the paper's method section and supplementary materials.
Related code repository: https://github.com/Baby-Linc-Singapore/BABBLE_CODE/
Detailed file descriptions:
Audio stimulus files - Audio recordings with systematic naming convention A*_*_PH*, where:
A(1/2/3) - Represents the three different language sets used in the experiment
(d/m/l) - Indicates gaze condition: 'd' for dark (no gaze), 'm' for middle (partial gaze), 'l' for light (full gaze)
PH(1/2/3) - Specifies phrase number within each experimental block (phrases 1, 2, or 3
Replication Data for: Crustal Structure and Seismogenic Environment for the January 2025 Mw 7.1 Southern Tibet (Dingri) Earthquake
No full textOn January 7, 2025, a Mw 7.1 normal-faulting earthquake occurred in the Dinggye rift zone, southern Tibetan plateau. In this study, we present high-resolution crustal S-wave isotropic and P-wave azimuthally anisotropic velocity models around the source region of this earthquake, constructed using novel adjoint-state traveltime tomography techniques
Related Data for: Enhanced tunable X-rays from bulk crystals driven by table-top free electron energies
No full textThis dataset contains the raw data corresponding to the figures presented in the main text of the paper titled “Enhanced tunable X-rays from bulk crystals driven by table-top free-electron energies"
Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models
No full textSPHERE (Spatial Perception and Hierarchical Evaluation of Reasoning) is a hierarchical evaluation framework built on a new human-annotated dataset of 2,285 question–answer pairs. It systematically probes models across increasing levels of complexity, from fundamental skills to multi-skill integration and high-level reasoning that combines spatial, visual, and logical understanding
Replication Data for: A Novel 3D Reconstruction Technique for Relative-Sea-Level Reconstruction Utilising Coral Microatolls and its Application to Holocene Sea-Level History in Singapore
No full textThis dataset contains data and information used to create the results in this thesis. This includes excel sheets containing information for SLIP creation, full results from code runs and 3D models. Links to the code I created can be found within the thesis
Related Data for: Common Era sea-level budgets along the U.S. Atlantic coast
No full textThis dataset is a comprehensive open-access database of the paper titled"Common Era sea-level budgets along the U.S. Atlantic coast"
Bitcoin degree distribution and influential players
No full textData for in-degree and out-degree distribution of Bitcoin transactions and most influential sender and recipient
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
No full textWhat 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
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters
No full textHuman beings are social animals. How to equip 3D autonomous characters with similar social intelligence that can perceive, understand and interact with humans remains an open yet foundamental problem. In this paper, we introduce SOLAMI, the first end-to-end Social vision-Language-Action (VLA) Modeling framework for Immersive interaction with 3D autonomous characters. Specifically, SOLAMI builds 3D autonomous characters from three aspects: (1) Social VLA Architecture: We propose a unified social VLA framework to generate multimodal response (speech and motion) based on the user's multimodal input to drive the character for social interaction. (2) Interactive Multimodal Data: We present SynMSI, a synthetic multimodal social interaction dataset generated by an automatic pipeline using only existing motion datasets to address the issue of data scarcity. (3) Immersive VR Interface: We develop a VR interface that enables users to immersively interact with these characters driven by various architectures. Extensive quantitative experiments and user studies demonstrate that our framework leads to more precise and natural character responses (in both speech and motion) that align with user expectations with lower latency
Ethereum degree distribution and influential players
No full textIn-degree and out-degree distribution and most influential wallet addresses for Ethereu