DR-NTU (Data) (Nanyang Technological University)
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1955 research outputs found
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Related Data for: CHIKV nsP1 manuscript
No full textThis dataset include the data for CHIKV nsP1 manuscrip
Replication Data for: Seismic Azimuthal Anisotropy of New Zealand revealed by Adjoint-state Traveltime Tomography
No full textA 3D azimuthally anisotropic model that encompasses both the North and South Islands of New Zealand to a depth of 40 km, using over 1 million local P-wave arrival times and a newly developed adjoint-state traveltime tomography technique
Verification of exponential law in cryptocurrency
No full textContains number of nodes, number of edges and average out-degree for Bitcoin, Ethereum, Iotex and Tezos month by month
Replication Data for: On-chip active non-reciprocal topological photonics
No full textChip-scale non-reciprocity is essential for advancing integrated photonics, particularly in realizing photonic circulators and isolators for data communication, signal modulation, and quantum computing. However, achieving a non-reciprocal silicon chip with a small footprint, high isolation ratio, low loss, and active control remains a challenge. Here, we report a non-reciprocal topological silicon chip based on magneto-optical Indium Antimonide (InSb) integrated valley Hall system. The valley-conserved non-reciprocal modes, realized by breaking both time-reversal and spatial-inversion symmetries, enable ultra-compact and efficient non-reciprocal photonic devices that outperform conventional chips. A maximum isolation ratio of 64.3 dB and a low chip loss of 2.6 dB are experimentally achieved by fine-tuning the non-reciprocal critical coupling points of a topological cavity with a small footprint of 6.4×2.5λ2. An all-optical method is also applied to actively modulate the isolation ratio from 0 to 48 dB. Our development of a non-reciprocal topological silicon chip marks a pivotal advancement in communication systems, LiDAR, terahertz technologies, quantum computing, and cryptography
Related data for: Insights from refined Sunda plate motion: Eastward increase in megathrust locking depth from Java to Sumba
No full textThis dataset contains GNSS velocities in Indonesia compiled from published studies and our study
Dataset 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 textAttention-deficit hyperactivity disorder (ADHD) is one of the most common childhood neurodevelopmental disorders. Given the rising prevalence in recent years, novel treatments such as music therapy have gained attention as potential treatment methods for children with ADHD. The present systematic review collected and evaluated the quality of evidence in music therapy intervention studies for children aged 6 to 12 with ADHD, assessing methodological rigour and presence of questionable research practices. Reports were taken from multiple databases, namely PubMed, PsychINFO, and SCOPUS, and were published within a 10-year period between 2013 and 2024. Out of the 425 unique studies gathered, only four studies made it to the analysis stage after meeting all inclusion criteria. Of these four studies, only three met all essential quality indicators, which meant that they were adequately designed to produce meaningful results. However, they proceeded to score poorly in the additional quality indicators, suggesting that they engaged in various questionable research practices. Findings showed that there is a lack of published studies on the effectiveness of music for ADHD in children and the quality of evidence provided by existing studies is lacking. Future research should consider conducting longitudinal and follow-up studies to assess whether the effects of music therapy can be sustained in the long-term.
This repository collects the dataset for the preregistered systematic review
Replication Data for: Observation of disorder-induced boundary localization
No full textThis repository contains the data and code used for the analyses presented in the manuscript: "Observation of disorder-induced boundary localization", submitted to the Proceedings of the National Academy of Sciences (PNAS)
Dataset for: Causal language in child-directed speech in Singapore
No full textCausal reasoning is an important cognitive competency that allows us to make predictions, categorise items, make decisions, problem-solve and more (Waldmann & Hagmayer, 2013). A causal event structure involves a cause: a prior event that occurs, and an effect: a result that occurs because of the prior event. When describing this cause-effect relationship, people may use causal language to describe the events. Causal language could include phrases like “as a result”, or sentence structures like “because… so…”. Human depth of causal understanding seems to develop from a young age. Infants start using and learning causal language from 12-24 months (Gopnik, 1982). Research shows that structural cues of causal language facilitates casual understanding in young children, and parental use of causal language can predict children’s causal verb comprehension (Aktan-Erciyes & Göksun, 2021; Ger et al., 2021). Given the importance of causal reasoning and the influence of causal language on understanding on causality, this study aims to investigate the developmental trajectory of causal language used by parents with their children in the Singaporean context. This project was first started as part of a Final Year Project in Psychology at NTU (20024-5). The current dataset includes coding for 108 transcripts of parent-child narratives from the first timepoint of the Talk Together Study (Ethics: NTU IRB-2018-10-001), and a summary of coded data for the current study
Replication Data for: Electric-Field Tunable THz Emission via Quantum Geometry in Dirac Semimetal
No full textElectric-field manipulation of spin degrees of freedom is pivotal for next-generation spintronics, yet non-volatile control at terahertz (THz) frequencies remains elusive. Here, we harness the quantum geometry of a Dirac semimetal, PtTe2, to achieve all-electrical tunability of THz spintronic emission under a constant magnetic field without field cycling or remanent magnetization. By integrating a ferroelectric substrate with a PtTe2/ferromagnetic heterobilayer, we electrically modulate the Fermi level and Berry curvature of PtTe2, thereby controlling its spin Hall conductivity in real time, yielding a 21% modulation of the THz emission amplitude. Density functional theory corroborates doping-driven shifts in Berry curvature that directly alter spin Hall conductivity, underscoring the key role of geometric phases in ultrafast spin–charge conversion. Our approach offers a low-complexity, energy-efficient, and non-volatile route to tunable spin Hall THz devices, and we anticipate that these findings will open new avenues for harnessing quantum geometry in spin-based logic and ultrafast electronics