cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21979/n9/5g4spx
title: Related Data for: Active faults revealed and new constraints on their seismogenic depth from a high-resolution regional focal mechanism catalog in Myanmar (2016-2021)

description: Broadband seismic waveform data from the EOS-DMH-MEC network used in the relocation and gCAP inversion of earthquake focal mechanisms. SAC files for Event #39: 20190318_1654
DOI: 10.21979/n9/3ze7sk
title: Replication data for: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection

description: Lab-on-chip microfluidic impedance measurement for laminar flow ratio sensing and differential conductivity difference detection
DOI: 10.21979/n9/48fozp
title: Replication Data for: How rainfall influences tephra fall loading — an experimental approach

description: Replication Data for: How rainfall influences tephra fall loading — an experimental approach
DOI: 10.21979/n9/4d5wr2
title: Dual-Conductive and Stiffness-Morphing Microneedle Patch Enables Continuous in Planta Monitoring of Electrophysiological Signal and Ion Fluctuation

description: The use of conductive microneedles presents a promising solution for achieving high-fidelity electrophysiological recordings with minimal impact on interfaced tissue. However, conventional metal-based microneedle suffers from high electrochemical impedance and mechanical mismatch. In this paper, we report a dual-conductive (i.e., both ionic and electronic conductive) and stiffness-morphing microneedle patch (DSMNP) for high-fidelity electrophysiological recordings with reduced tissue damage. The polymeric network of the DSMNP facilitates electrolyte absorption, and therefore allows the transition of stiffness from 6.82 N m-1 to 0.5139 N m-1. Furthermore, the nanoporous conductive polymer increased the specific electrochemical surface area after tissue penetration, resulting in ultralow specific impedance of 840 kΩ mm2 at 10 Hz. DSMNPs detected variation potential and action potential in real time and cation fluctuations in plants in response to environmental stimuli. After swelling, DSMNPs mechanically “lock” into biological tissues and prevent motion artifact by providing stable interface. These results demonstrate the potential of DSMNPs for various applications in the field of plant physiology research and smart agriculture.
DOI: 10.21979/n9/4ddnmj
title: Data for: Strength, shrinkage and creep of lightweight cementitious composite incorporating with carbon nanofibers

description: Raw data used in the experimental study of "Strength, shrinkage and creep of lightweight cementitious composite incorporating with carbon nanofibers"
DOI: 10.21979/n9/4grktc
title: Histogram of Word-Based Agreements Between LWRM1 and LWRM2 for Reuters News Corpus

description: Python script to plot the histogram comparing the word-based agreement between LWRM1 and LWRM2 for the Reuters news corpus.
DOI: 10.21979/n9/4ii1cf
title: Replication Data for: Weighted persistent homology for biomolecular data analysis

description: In this paper, we systematically review weighted persistent homology (WPH) models and their applications in biomolecular data analysis. Essentially, the weight value, which reflects physical, chemical and biological properties, can be assigned to vertices (atom centers), edges (bonds), or higher order simplexes (cluster of atoms), depending on the biomolecular structure, function, and dynamics properties. Further, we propose the first localized weighted persistent homology (LWPH). Inspired by the great success of element specific persistent homology (ESPH), we do not treat biomolecules as an inseparable system like all previous weighted models, instead we decompose them into a series of local domains, which may be overlapped with each other. The general persistent homology or weighted persistent homology analysis is then applied on each of these local domains. In this way, functional properties, that are embedded in local structures, can be revealed. Our model has been applied to systematically study DNA structures. It has been found that our LWPH based features can be used to successfully discriminate the A-, B-, and Z-types of DNA. More importantly, our LWPH based principal component analysis (PCA) model can identify two configurational states of DNA structures in ion liquid environment, which can be revealed only by the complicated helical coordinate system. The great consistence with the helical-coordinate model demonstrates that our model captures local structure variations so well that it is comparable with geometric models. Moreover, geometric measurements are usually defined in local regions. For instance, the helical-coordinate system is limited to one or two basepairs. However, our LWPH can quantitatively characterize structure information in regions or domains with arbitrary sizes and shapes, where traditional geometrical measurements fail.
DOI: 10.21979/n9/4pzqj7
title: Preprocessed Epilepsy dataset

description: Preprocessed files of Epilepsy dataset used in IJCAI-21 work "TS-TCC"
DOI: 10.21979/n9/4y4gfi
title: Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

description: Data and scripts used for the manuscript with the same title
DOI: 10.21979/n9/4ydzed
title: Code and data for CFreeEnS

description: A method called Context-Free Encoding Scheme (CFreeEnS) was proposed to encode protein sequence pairs into a numeric matrix. CFreeEnS takes advantage of rich information about the physiochemical and structural properties of amino acids. This encoding scheme keeps information about conserved properties of amino acids, which makes it possible for learning methods (e.g. random forest) to capture the cross-subtype antigenic pattern of influenza viruses. Besides, the CFreeEnS, free from dependence on carefully designed features, should be applicable to other applications in bioinformatics measuring the phenotype similarity from sequences. We have tested the method on four more datasets, namely the iAMP-2L dataset classifying antimicrobial peptides from non-antimicrobial peptides [5]; the tumor homing peptides dataset (TumorHPD); the HemoPI including hemolytic, non-hemolytic and semi-hemolytic peptides and the phage virion proteins. The predicting accuracy of 10-fold cross validation is compared with two reported methods. Results show that the CFreeEnS outperforms or at least is competitive with the traditional method using handcrafted features and a state-of-art method named m-NGSG.
DOI: 10.21979/n9/5k3qe4
title: Replication Data for: Improving the interfacial properties of CZTS photocathode by Ag substitution

description: This dataset contains data for the figures used in the published paper: "Improving the interfacial properties of CZTS photocathode by Ag substitution"
DOI: 10.21979/n9/4g3yst
title: Replication Data for: Topological triply degenerate point with double Fermi arcs

description: Data and computer code used to produce the experiment and theory plots in the paper "Topological triply degenerate point with double Fermi arcs" by Yihao Yang, Hong-xiang Sun, Jian-ping Xia, Haoran Xue , Zhen Gao, Yong Ge, Ding Jia, Shou-qi Yuan, Yidong Chong and Baile Zhang (2019-4-22)
DOI: 10.21979/n9/4nep8m
title: Histogram of Bigram-Based Agreements Between LWRM1 and RAKE for ACM-TWEB Corpus

description: Python script to plot the histogram comparing the bigram-based agreement between LWRM1 and RAKE for the ACM-TWEB corpus.
DOI: 10.21979/n9/4xqga1
title: Related data for: Atomically Dispersed Cobalt Trifunctional Electrocatalysts with Tailored Coordination Environment for Flexible Rechargeable Zn–Air Battery and Self‐Driven Water Splitting

description: Atomically Dispersed Cobalt Trifunctional Electrocatalysts with Tailored Coordination Environment for Flexible Rechargeable Zn–Air Battery and Self-Driven Water Splitting
DOI: 10.21979/n9/4ytopx
title: Research Data for MOE Tier 1 Grant

description: Research Data for MOE Tier 1 Grant, "Domestic and Transnational Legal Risks and Opportunities for Foreign Businesses in China."
DOI: 10.21979/n9/5d1fbl
title: Replication Data for: Deadline-constrained Multi-resource Task Mapping and Allocation for Edge-Cloud Systems

description: experiment data for paper "Deadline-constrained Multi-resource Task Mapping and Allocation for Edge-Cloud Systems"
DOI: 10.21979/n9/5d9kvv
title: Relationships between mental state vocabulary and theory of mind: Preregistration Docs

description: This archive contains preregistration documents lodged with the supervising coauthor on 27 Jan 2021, prior to commencing full systematic review.
DOI: 10.21979/n9/5mihfh
title: Replication Data for: Strain-induced large injection current in twisted bilayer graphene

description: This data set contains numerical data for the paper "Strain-induced large injection current in twisted bilayer graphene".
DOI: 10.21979/n9/5usxju
title: Preregistration for parental use of mental state terms with pre-school children in Singapore

description: Preregistration documents. This study will investigate parental use of mental state descriptions in Singaporean parents' speech to preschoolers - with a focus on describing internal mental states such as 'knowing' 'wanting' and 'thinking'. Past studies on child directed descriptions of mental state terms have been mostly conducted in Western populations where Standard English is the norm. This study will investigate parental use of mental state descriptions in the highly multilingual context of Singapore, for parents narrating a wordless picture book 'What a Scary Storm' (Styles, 2020). The book was designed to elicit descriptions of mental states such as 'looking for' 'finding' and 'wanting', and through a narrative that includes a violation of expectation for the main character. This preregistration describes planned descriptive and hypothesis-testing analyses. V1.1 unrestricts the previously embargoed documents
DOI: 10.21979/n9/4hz7cn
title: Replication Data for: Northern Sangtam phonetics, phonology and word list (Dataset AC4-20130711_NSA3)

description: This dataset (AC4-20130711_NSA3) contains two MP4 videos and accompanying transcribed word lists in .xlsx and pdf. The language is Northern Sangtam (ISO 639-3: nsa), an Aoic language of central Nagaland, Northeast India. The dataset forms part of the suite of replication data for Coupe, Alexander R. (2020) Sangtam phonetics, phonology and word list, Linguistics of the Tibet-Burman Area 43.1, pp. 14–189.
DOI: 10.21979/n9/4kta08
title: The source codes of DSSCN

description: MATLAB Codes of DSSCN
DOI: 10.21979/n9/4oc5ri
title: Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces

description: Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid interface. Here, we numerically explored all possible orientations of three Platonic nanoparticles (tetrahedron, cube, and octahedron) and found that a specific orientation (vertex-up, edge-up, or facet-up) is more preferred than random orientations. We also demonstrated their positions and orientations can be quantitatively predicted when the surface tensions dominate their total interaction energies. The line tensions may affect their positions and orientations only when total interaction energies are close to each other for more than one orientation. The molecular dynamics simulation results were in excellent agreement with our theoretical predictions. Our theory will advance our ability toward predicting the final structures of Platonic nanoparticle assemblies at a liquid/liquid interface.
DOI: 10.21979/n9/4rhc3d
title: MERLIon CCS Challenge Development and Evaluation Datasets Open Preview (Documentation)

description: 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 code-switched, child-directed speech collected via Zoom. The inaugural MERLIon CCS Challenge is a special session at INTERSPEECH 2023. This repository is a open preview containing documentation about the files that can be downloaded in the development and evaluation sets for two Tasks in the 2023 MERLIon CCS Challenge. In work arising from this corpus, please cite the dataset: 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
DOI: 10.21979/n9/56mteh
title: Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling

description: These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and healthier buildings” in the tropics (e.g., Singapore). Leveraging privacy-preserving data analytics over information acquired from smartphone crowdsourcing and in-situ wearables measurements, the project plans to develop and validate an integrative, economical and scalable thermal comfort management system. NTU-SCSE News about GBIC Project
DOI: 10.21979/n9/5ihbiu
title: Matrix product codes and iterated codes over F4, as well as their corresponding qubit EAQECCs

description: The files contain sub-unitary matrices, generator matrices of product codes and iterated codes, as well as the parameters of the corresponding qubit EAQECCs.
DOI: 10.21979/n9/5ltcwm
title: Crash Course in Sensory Psycholinguistics: Session 3

description: Crash Course in Sensory Psycholinguistics (Styles 2018 Ed. 2.2). A self-guided tour through the mysterious workings of our mouths, our ears and our brains and how our senses work together to shape how we experience the world. Session 3: "Speech Sounds and the energy they carry"
DOI: 10.21979/n9/5qawov
title: The source codes of DEVDAN Python

description: the source code of DEVDAN " DEVDAN: Deep evolving denoising autoencoder "
DOI: 10.21979/n9/5ris7r
title: Computational identiﬁcation of physicochemical signatures for host tropism of inﬂuenza A virus

description: Avian influenza viruses from migratory birds have managed to cross host species barriers and infected various hosts like human and swine. Epidemics and pandemics might occur when influenza viruses are adapted to humans, causing deaths and enormous economic loss. Receptor-binding specificity of the virus is one of the key factors for the transmission of influenza viruses across species. The determination of host tropism and understanding of molecular properties would help identify the mechanism why zoonotic influenza viruses can cross the species barrier and infect humans. In this study, we have constructed computational models for host tropism prediction on human-adapted subtypes of influenza HA proteins using random forest. The feature vectors of the prediction models were generated based on seven physicochemical properties of amino acids from influenza sequences of three major hosts. Feature aggregation and associative rules were further applied to select top 20 features and extract host-associated physicochemical signatures on the combined model of nonspecific subtypes. The prediction model achieved high performance (Accuracy=0.948, Precision=0.954, MCC=0.922). Support and confidence rates were calculated for the host class-association rules. The results indicated that secondary structure and normalized Van der Waals volume were identified as more important physicochemical signatures in determining the host tropism.
DOI: 10.21979/n9/5rypxn
title: Replication Data for: Toroidal versus Fano resonances in high Q planar THz metamaterials

description: Radiative losses are crucial in optimizing the performance of metamaterial based devices across the electromagnetic spectrum. Introducing structural asymmetry in meta-atom design leads to the excitation of sharp Fano resonances with reduced radiative losses. However, at larger asymmetries, the Fano resonance becomes highly radiative which results in the broadening of the asymmetric line shaped resonances. Here, we experimentally demonstrate a scheme to couple mirrored asymmetric Fano resonators through interaction of anti-aligned magnetic dipoles which results in a strong toroidal resonance in two-dimensional planar metasurface. The quality (Q) factor and the figure of merit of the toroidal dipolar mode is significantly higher than the Fano resonance. Moreover, we discover that the exponential decay of the Q factor of toroidal resonance mode occurs at half the rate of that in the Fano resonance as the asymmetry of the system is enhanced which indicates significant tailoring and the suppression of the radiative loss channel in the toroidal configuration. The weakly-radiative toroidal resonance in planar metamaterials offers the potential for applications in terahertz and optical sensing, spectroscopy, narrow-band filtering and large modulation.
DOI: 10.21979/n9/5wzkv9
title: Related Data for: The development and validation of a macronutrient and taste preference ranking task in multiethnic Asian population

description: Here we present: i) an anonymised MTPRT dataset, not yet scored; ii) dictionary file suitable for scoring R script; iii) MTPRT scoring R script and iv) an anonymised MTPRT dataset, already scored. These files were used for the analysis in https://doi.org/10.1016/j.foodqual.2024.105135.
DOI: 10.21979/n9/63pip0
title: Data from: Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta-analysis

description: All the data files are publicly available in the Dryad Digital Repository, at https://doi.org/10.5061/dryad.dbrv15f7j (Priyadarshana et al. 2024). The source codes for the statistics are publicly available in the Zenodo Digital Repository, at https://doi.org/10.5281/zenodo.10799017. These data files and source codes are also accessible via the GitHub Digital Repository, at https://github.com/Tharaka18/spatial.heterogeneity.meta.
DOI: 10.21979/n9/4jphrk
title: Replication Data for: Electrically tunable all-PCM visible plasmonics

description: Realizing electrically tunable plasmonic resonances in the ultraviolet (UV) to visible spectral band is particularly important for active nanophotonic device applications. However, the plasmonic resonances in the UV to visible wavelength range cannot be tuned due to the lack of tunable plasmonic materials. Here, we experimentally demonstrate tunable plasmonic resonances at visible wavelengths using a chalcogenide semiconductor alloy such as antimony telluride (Sb2Te3), by switching the structural phase of Sb2Te3 from amorphous to crystalline. We demonstrate the excitation of propagating surface plasmon with high plasmonic figure of merit in both amorphous and crystalline phases of Sb2Te3 thin films. We show polarization dependent and independent plasmonic resonances by fabricating one and two-dimensional periodic nanostructures in Sb2Te3 thin films, respectively. Moreover, we demonstrate electrically tunable plasmonic resonances using a microheater integrated with the Sb2Te3/Si device. The developed electrically tunable Sb2Te3-based plasmonic devices could find applications in development of active color filters.
DOI: 10.21979/n9/52tkdi
title: Replication Data for: Interspecies interactions and biofilm development in a three-species biofilm model

description: Data for the figures presented in the thesis, including raw reads and images of the transposons
DOI: 10.21979/n9/5bjd2z
title: Replication Data for: Stress sensor Ire1 deploys a divergent transcriptional program in response to lipid bilayer stress

description: Membrane integrity at the endoplasmic reticulum (ER) is tightly regulated, and its disturbance is implicated in metabolic diseases. Using an engineered sensor that activates the unfolded protein response (UPR) exclusively when normal ER membrane lipid composition is compromised, we identified pathways beyond lipid metabolism that are necessary to maintain ER integrity in yeast and in C. elegans. To systematically validate yeast mutants that disrupt ER membrane homeostasis, we identified a lipid bilayer stress (LBS) sensor in the UPR transducer protein Ire1, located at the interface of the amphipathic and transmembrane helices. Furthermore, transcriptome and chromatin immunoprecipitation analyses pinpoint the UPR as a broad-spectrum compensatory response wherein LBS and proteotoxic stress deploy divergent transcriptional UPR programs. Together, these findings reveal the UPR program as the sum of two independent stress responses, an insight that could be exploited for future therapeutic intervention.
DOI: 10.21979/n9/5coejw
title: Related Data for: Active faults revealed and new constraints on their seismogenic depth from a high-resolution regional focal mechanism catalog in Myanmar (2016-2021)

description: Broadband seismic waveform data from the EOS-DMH-MEC network used in the relocation and gCAP inversion of earthquake focal mechanisms. SAC files for Event #20: 20180701_1510
DOI: 10.21979/n9/5fk01v
title: Replication Data for: Phototunable chip-scale topological photonics: 160 Gbps waveguide and demultiplexer for THz 6G communication

description: The revolutionary 5G cellular systems represent a breakthrough in the communication network design to provide a single platform for enabling enhanced broadband communications, virtual reality, autonomous driving, and the internet of everything. However, the ongoing massive deployment of 5G networks has unveiled inherent limitations that have stimulated the demand for innovative technologies with a vision toward 6G communications. Terahertz (0.1-10 THz) technology has been identified as a critical enabler for 6G communications with the prospect of massive capacity and connectivity. Nonetheless, existing terahertz on-chip communication devices suffer from crosstalk, scattering losses, limited data speed, and insufficient tunability. Here, we demonstrate a new class of phototunable, on-chip topological terahertz devices consisting of a broadband single-channel 160 Gbit/s communication link and a silicon Valley Photonic Crystal based demultiplexer. The optically controllable demultiplexing of two different carriers modulated signals without crosstalk is enabled by the topological protection and a critically coupled ultra-high-Q cavity. As a proof of concept, we demultiplexed high spectral efficiency 40 Gbit/s signals and demonstrated real-time streaming of uncompressed high-definition (HD) video (1.5 Gbit/s) using the topological photonic chip. Phototunable silicon topological photonics will augment complementary metal oxide semiconductor (CMOS) compatible terahertz technologies, vital for accelerating the development of 6G communications and real-time terabits per second wireless connectivity for network sensing, holographic communication, and cognitive internet of everything
DOI: 10.21979/n9/5kl7cj
title: The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators

description: Data for the journal paper (Advanced Materials): The Nanoplasmonic Purcell Effect in Ultrafast and High-Light- Yield Perovskite Scintillators
DOI: 10.21979/n9/5qclzx
title: Coral timeseries

description: Coral timeseries from Meltzner et al., 2015
DOI: 10.21979/n9/6dtrwr
title: MEDICAL HUMANITIES LEARNING OUTCOMES / OBJECTIVES: Institutions and Consulted Sources

description: List of Sources and Institutions consulted for background research during development of Medical Humanities Learning Outcomes. This list is referred to in the paper "Using the Humanities to teach Medicine" This version updates the list