cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7038308.v1
title: Supplementary figures from The interaction between sex-specific selection and local adaptation in species without separate sexes

description: Higher resolution versions of the figures in Appendix A
DOI: 10.6084/m9.figshare.7038122
title: pouliopoulos_etal_min_dataset.xlsx

description: Abstract<b>Background:</b>Post-myocardial infarction (MI) remodeling contributes to increased electrophysiological and structural heterogeneity and arrhythmogenesis. Utilising the post-infarct ovine model our aim was to determine unipolar electrogram frequency characteristics consequent to this remodeling and the development of Ventricular Tachycardia (VT).<b>Methods and Results:</b>Mapping studies were performed on 14 sheep at &gt;1 month post-MI induction. Sheep were divided into VT inducible (n=7) and non-inducible (n=7) groups. Multielectrode needles (n=20) were deployed within and surrounding ventricular scar for electrophysiological assessment of electrogram amplitude and width. Spectral analysis of electrograms was undertaken using wavelet and fast fourier transformations (WFFT) to calculate root mean square (RMS) power intervals spanning 0-300Hz in 20Hz intervals. Quantitative assessment between electrophysiological and histological parameters including collagen density, and structural organization of the myocardium was performed. Increasing myocardial scar density resulted in attenuation of electrogram amplitude and RMS values. (all <i>p</i>&lt;0.01). Between groups there were no differences in electrogram amplitude<i></i>(<i>p</i>=0.37), however WFFT analysis revealed significantly higher RMS values in the VT group (<i>p</i>&lt;0.05) in association with high frequency fractional components of the electrogram. As scar density increased, greater between-group differences in RMS were observed spanning this high frequency (200-280Hz) spectrum and which were proportionally dependent on the degree of structural disorganisation of the myocardium (<i>p&lt;</i>0.001) and number of extrastimuli required to induce VT (<i>p</i>&lt;0.05). <b>Conclusion:</b>High frequency unipolar electrogram spectral characteristics were quantitatively co-influenced by the presence of fibrosis and degree of myocardial structural dissorganisation and were associated with the propensity for development of VT.
DOI: 10.6084/m9.figshare.7038116
title: Additional file 4: of Attack of the clones: whole genome-based characterization of two closely related enterohemorrhagic Escherichia coli O26 epidemic lineages

description: Table S2. SNPs synapomorphic for the early nEC, late nEC or nEC as whole. Missense mutations in fimbrial proteins are denoted in bold. (XLS 112 kb)
DOI: 10.6084/m9.figshare.7038122.v1
title: pouliopoulos_etal_min_dataset.xlsx

description: Abstract<b>Background:</b>Post-myocardial infarction (MI) remodeling contributes to increased electrophysiological and structural heterogeneity and arrhythmogenesis. Utilising the post-infarct ovine model our aim was to determine unipolar electrogram frequency characteristics consequent to this remodeling and the development of Ventricular Tachycardia (VT).<b>Methods and Results:</b>Mapping studies were performed on 14 sheep at &gt;1 month post-MI induction. Sheep were divided into VT inducible (n=7) and non-inducible (n=7) groups. Multielectrode needles (n=20) were deployed within and surrounding ventricular scar for electrophysiological assessment of electrogram amplitude and width. Spectral analysis of electrograms was undertaken using wavelet and fast fourier transformations (WFFT) to calculate root mean square (RMS) power intervals spanning 0-300Hz in 20Hz intervals. Quantitative assessment between electrophysiological and histological parameters including collagen density, and structural organization of the myocardium was performed. Increasing myocardial scar density resulted in attenuation of electrogram amplitude and RMS values. (all <i>p</i>&lt;0.01). Between groups there were no differences in electrogram amplitude<i></i>(<i>p</i>=0.37), however WFFT analysis revealed significantly higher RMS values in the VT group (<i>p</i>&lt;0.05) in association with high frequency fractional components of the electrogram. As scar density increased, greater between-group differences in RMS were observed spanning this high frequency (200-280Hz) spectrum and which were proportionally dependent on the degree of structural disorganisation of the myocardium (<i>p&lt;</i>0.001) and number of extrastimuli required to induce VT (<i>p</i>&lt;0.05). <b>Conclusion:</b>High frequency unipolar electrogram spectral characteristics were quantitatively co-influenced by the presence of fibrosis and degree of myocardial structural dissorganisation and were associated with the propensity for development of VT.
DOI: 10.6084/m9.figshare.7038113
title: Additional file 3: of Attack of the clones: whole genome-based characterization of two closely related enterohemorrhagic Escherichia coli O26 epidemic lineages

description: Table S3. Discrimination of early nEC and late nEC strains by sen/ent SNP-specific PCR, WGS and PFGE. All nEC strains characterized in this study by WGS (Fig. 2) and/or by sen/ent SNP-specific PCR (Fig. 3) are listed, together with results obtained by either method and PFGE clustering [31] (n.a., not available). Representative gel image which demonstrates the performance of the sen/ent SNP-specific PCR in differentiating early- and late nEC strains is included. (XLSX 69 kb)
DOI: 10.6084/m9.figshare.7038113.v1
title: Additional file 3: of Attack of the clones: whole genome-based characterization of two closely related enterohemorrhagic Escherichia coli O26 epidemic lineages

description: Table S3. Discrimination of early nEC and late nEC strains by sen/ent SNP-specific PCR, WGS and PFGE. All nEC strains characterized in this study by WGS (Fig. 2) and/or by sen/ent SNP-specific PCR (Fig. 3) are listed, together with results obtained by either method and PFGE clustering [31] (n.a., not available). Representative gel image which demonstrates the performance of the sen/ent SNP-specific PCR in differentiating early- and late nEC strains is included. (XLSX 69 kb)
DOI: 10.6084/m9.figshare.7038116.v1
title: Additional file 4: of Attack of the clones: whole genome-based characterization of two closely related enterohemorrhagic Escherichia coli O26 epidemic lineages

description: Table S2. SNPs synapomorphic for the early nEC, late nEC or nEC as whole. Missense mutations in fimbrial proteins are denoted in bold. (XLS 112 kb)
DOI: 10.6084/m9.figshare.7038107
title: Additional file 5 of Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

description: R code to impute continuous outcome. (R 1 kb)
DOI: 10.6084/m9.figshare.7038104
title: Additional file 4 of Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

description: R code to impute binary outcome. (R 1 kb)
DOI: 10.6084/m9.figshare.7038107.v1
title: Additional file 5 of Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

description: R code to impute continuous outcome. (R 1 kb)
DOI: 10.5281/zenodo.4005719
title: Determining optimal scanning setup parameters with machine learning

description: Data.
DOI: 10.6084/m9.figshare.7038104.v1
title: Additional file 4 of Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

description: R code to impute binary outcome. (R 1 kb)
DOI: 10.6084/m9.figshare.7038077
title: Additional file 1: of Genome-wide analysis of purple acid phosphatase structure and expression in ten vegetable species

description: Table S1. Information on the genomes and transcriptomes used in this study that were downloaded from public databases. Table S2. Sequences used for phylogenetic analysis and expression levels obtained from transcriptome datasets. Table S3. Queries used for BLAST searches. Table S4. Ortholog groups obtained by orthoMCL. (XLSX 46 kb)
DOI: 10.6084/m9.figshare.7038077.v1
title: Additional file 1: of Genome-wide analysis of purple acid phosphatase structure and expression in ten vegetable species

description: Table S1. Information on the genomes and transcriptomes used in this study that were downloaded from public databases. Table S2. Sequences used for phylogenetic analysis and expression levels obtained from transcriptome datasets. Table S3. Queries used for BLAST searches. Table S4. Ortholog groups obtained by orthoMCL. (XLSX 46 kb)
DOI: 10.6084/m9.figshare.7037936
title: MOESM2 of Frequency and correlates of symptoms of anxiety and depression among young caregivers of cancer patients: a pilot study

description: Additional file 2: Dataset S2. This data file contains variables pertaining to anxiety symptoms of respondents.
DOI: 10.6084/m9.figshare.7037936.v1
title: MOESM2 of Frequency and correlates of symptoms of anxiety and depression among young caregivers of cancer patients: a pilot study

description: Additional file 2: Dataset S2. This data file contains variables pertaining to anxiety symptoms of respondents.
DOI: 10.6084/m9.figshare.7037933
title: MOESM3 of Antibiotic treatment modulates protein components of cytotoxic outer membrane vesicles of multidrug-resistant clinical strain, Acinetobacter baumannii DU202

description: Additional file 3: Table S1. Comparative proteomic analysis of A. baumannii DU202 OMVs.
DOI: 10.6084/m9.figshare.7037933.v1
title: MOESM3 of Antibiotic treatment modulates protein components of cytotoxic outer membrane vesicles of multidrug-resistant clinical strain, Acinetobacter baumannii DU202

description: Additional file 3: Table S1. Comparative proteomic analysis of A. baumannii DU202 OMVs.
DOI: 10.6084/m9.figshare.7037921
title: Additional file 1: of A comparison of two hyperangulated video laryngoscope blades to direct laryngoscopy in a simulated infant airway: a bicentric, comparative, randomized manikin study

description: Availibility data. (XLSX 99Â kb)
DOI: 10.6084/m9.figshare.7037921.v1
title: Additional file 1: of A comparison of two hyperangulated video laryngoscope blades to direct laryngoscopy in a simulated infant airway: a bicentric, comparative, randomized manikin study

description: Availibility data. (XLSX 99Â kb)
DOI: 10.6084/m9.figshare.7037909
title: MOESM1 of Frequency and correlates of symptoms of anxiety and depression among young caregivers of cancer patients: a pilot study

description: Additional file 1: Dataset S1. This data file contains variables pertaining to depressive symptoms of respondents.
DOI: 10.6084/m9.figshare.7037909.v1
title: MOESM1 of Frequency and correlates of symptoms of anxiety and depression among young caregivers of cancer patients: a pilot study

description: Additional file 1: Dataset S1. This data file contains variables pertaining to depressive symptoms of respondents.
DOI: 10.6084/m9.figshare.7037864
title: MOESM1 of Screening for potential prophylactics targeting sporozoite motility through the skin

description: Additional file 1: Table S1. Initial pilot screen of MMV Malaria Box and FDA approved compounds.
DOI: 10.6084/m9.figshare.7037864.v1
title: MOESM1 of Screening for potential prophylactics targeting sporozoite motility through the skin

description: Additional file 1: Table S1. Initial pilot screen of MMV Malaria Box and FDA approved compounds.
DOI: 10.6084/m9.figshare.7037855
title: Additional file 2: of Treatment outcome of multidrug-resistant tuberculosis in Japan – the first cross-sectional study of Japan tuberculosis surveillance data

description: Characteristics of MDR-TB patients who have completed treatment, by treatment duration, a two-by-two table presenting the demographic characteristics of MDR-TB patients who have completed treatment, by treatment duration i.e. =540 days. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.7037855.v1
title: Additional file 2: of Treatment outcome of multidrug-resistant tuberculosis in Japan – the first cross-sectional study of Japan tuberculosis surveillance data

description: Characteristics of MDR-TB patients who have completed treatment, by treatment duration, a two-by-two table presenting the demographic characteristics of MDR-TB patients who have completed treatment, by treatment duration i.e. =540 days. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.7037849
title: Additional file 1: of Post hemorrhagic hydrocephalus and neurodevelopmental outcomes in a context of neonatal intraventricular hemorrhage: an institutional experience in 122 preterm children

description: Description of data: clinical and radiological data collected for the study in the 122 newborns patients. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.7037852
title: Additional file 1: of Treatment outcome of multidrug-resistant tuberculosis in Japan â the first cross-sectional study of Japan tuberculosis surveillance data

description: Treatment duration in days of MDR-TB patients who have completed treatment, a table showing the treatment duration in days of each of the 96 MDR-TB patients, whose treatment duration was known. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7037849.v1
title: Additional file 1: of Post hemorrhagic hydrocephalus and neurodevelopmental outcomes in a context of neonatal intraventricular hemorrhage: an institutional experience in 122 preterm children

description: Description of data: clinical and radiological data collected for the study in the 122 newborns patients. (XLSX 48 kb)
DOI: 10.6084/m9.figshare.7037852.v1
title: Additional file 1: of Treatment outcome of multidrug-resistant tuberculosis in Japan â the first cross-sectional study of Japan tuberculosis surveillance data

description: Treatment duration in days of MDR-TB patients who have completed treatment, a table showing the treatment duration in days of each of the 96 MDR-TB patients, whose treatment duration was known. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7037837
title: Additional file 1: of Responses to a GP survey: current controversies in diet and cardiovascular disease

description: Appendix 1. Complete summary of trial data (raw study data used in SPSS analysis downloaded into an Excel file and edited to improve comprehension). (XLSX 20 kb)
DOI: 10.6084/m9.figshare.7037837.v1
title: Additional file 1: of Responses to a GP survey: current controversies in diet and cardiovascular disease

description: Appendix 1. Complete summary of trial data (raw study data used in SPSS analysis downloaded into an Excel file and edited to improve comprehension). (XLSX 20 kb)
DOI: 10.6084/m9.figshare.7037777
title: Conectores Textuales

description: La presente base de datos es una herramienta que permite al escritor organizar oraciones o párrafos de manera coherente y consecuente, se encuentra en formato Excel para que sea más fácil y rápido encontrar las palabras adecuadas; cada conector está organizado de acuerdo con el objetivo correspondiente.
DOI: 10.6084/m9.figshare.7037693
title: Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities

description: Motivated by recent work on studying massive imaging data in various neuroimaging studies, we propose a novel spatially varying coefficient model (SVCM) to capture the varying association between imaging measures in a three-dimensional volume (or two-dimensional surface) with a set of covariates. Two stylized features of neuorimaging data are the presence of multiple piecewise smooth regions with unknown edges and jumps and substantial spatial correlations. To specifically account for these two features, SVCM includes a measurement model with multiple varying coefficient functions, a jumping surface model for each varying coefficient function, and a functional principal component model. We develop a three-stage estimation procedure to simultaneously estimate the varying coefficient functions and the spatial correlations. The estimation procedure includes a fast multiscale adaptive estimation and testing procedure to independently estimate each varying coefficient function, while preserving its edges among different piecewise-smooth regions. We systematically investigate the asymptotic properties (e.g., consistency and asymptotic normality) of the multiscale adaptive parameter estimates. We also establish the uniform convergence rate of the estimated spatial covariance function and its associated eigenvalues and eigenfunctions. Our Monte Carlo simulation and real-data analysis have confirmed the excellent performance of SVCM. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7037696
title: Space-Filling Fractional Factorial Designs

description: Fractional factorial designs are widely used in various scientific investigations and industrial applications. Level permutation of factors could alter their geometrical structures and statistical properties. This article studies space-filling properties of fractional factorial designs under two commonly used space-filling measures, discrepancy and maximin distance. When all possible level permutations are considered, the average discrepancy is expressed as a linear combination of generalized word length pattern for fractional factorial designs with any number of levels and any discrepancy defined by a reproducing kernel. Generalized minimum aberration designs are shown to have good space-filling properties on average in terms of both discrepancy and distance. Several novel relationships between distance distribution and generalized word length pattern are derived. It is also shown that level permutations can improve space-filling properties for many existing saturated designs. A two-step construction procedure is proposed and three-, four-, and five-level space-filling fractional factorial designs are obtained. These new designs have better space-filling properties, such as larger distance and lower discrepancy, than existing ones, and are recommended for use in practice. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7037693.v1
title: Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities

description: Motivated by recent work on studying massive imaging data in various neuroimaging studies, we propose a novel spatially varying coefficient model (SVCM) to capture the varying association between imaging measures in a three-dimensional volume (or two-dimensional surface) with a set of covariates. Two stylized features of neuorimaging data are the presence of multiple piecewise smooth regions with unknown edges and jumps and substantial spatial correlations. To specifically account for these two features, SVCM includes a measurement model with multiple varying coefficient functions, a jumping surface model for each varying coefficient function, and a functional principal component model. We develop a three-stage estimation procedure to simultaneously estimate the varying coefficient functions and the spatial correlations. The estimation procedure includes a fast multiscale adaptive estimation and testing procedure to independently estimate each varying coefficient function, while preserving its edges among different piecewise-smooth regions. We systematically investigate the asymptotic properties (e.g., consistency and asymptotic normality) of the multiscale adaptive parameter estimates. We also establish the uniform convergence rate of the estimated spatial covariance function and its associated eigenvalues and eigenfunctions. Our Monte Carlo simulation and real-data analysis have confirmed the excellent performance of SVCM. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7037696.v1
title: Space-Filling Fractional Factorial Designs

description: Fractional factorial designs are widely used in various scientific investigations and industrial applications. Level permutation of factors could alter their geometrical structures and statistical properties. This article studies space-filling properties of fractional factorial designs under two commonly used space-filling measures, discrepancy and maximin distance. When all possible level permutations are considered, the average discrepancy is expressed as a linear combination of generalized word length pattern for fractional factorial designs with any number of levels and any discrepancy defined by a reproducing kernel. Generalized minimum aberration designs are shown to have good space-filling properties on average in terms of both discrepancy and distance. Several novel relationships between distance distribution and generalized word length pattern are derived. It is also shown that level permutations can improve space-filling properties for many existing saturated designs. A two-step construction procedure is proposed and three-, four-, and five-level space-filling fractional factorial designs are obtained. These new designs have better space-filling properties, such as larger distance and lower discrepancy, than existing ones, and are recommended for use in practice. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7037684
title: Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance

description: This article considers the volatility modeling for autoregressive univariate time series. A benchmark approach is the stationary autoregressive conditional heteroscedasticity (ARCH) model of Engle. Motivated by real data evidence, processes with nonconstant unconditional variance and ARCH effects have been recently introduced. We take into account this type of nonstationarity in variance and propose simple testing procedures for ARCH effects. Adaptive McLeod and Li’s portmanteau and ARCH-LM tests for checking the presence of such second-order dynamics are provided. The standard versions of these tests, commonly used by practitioners, suppose constant unconditional variance. The failure of these standard tests with time-varying unconditional variance is highlighted. The theoretical results are illustrated by means of simulated and real data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7037681
title: Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers

description: We propose a Bayesian generalized low-rank regression model (GLRR) for the analysis of both high-dimensional responses and covariates. This development is motivated by performing searches for associations between genetic variants and brain imaging phenotypes. GLRR integrates a low rank matrix to approximate the high-dimensional regression coefficient matrix of GLRR and a dynamic factor model to model the high-dimensional covariance matrix of brain imaging phenotypes. Local hypothesis testing is developed to identify significant covariates on high-dimensional responses. Posterior computation proceeds via an efficient Markov chain Monte Carlo algorithm. A simulation study is performed to evaluate the finite sample performance of GLRR and its comparison with several competing approaches. We apply GLRR to investigate the impact of 1071 SNPs on top 40 genes reported by AlzGene database on the volumes of 93 regions of interest (ROI) obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI). Supplementary materials for this article are available online.