cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21830027.v1
title: DSM-5 posttraumatic stress symptom dimensions and health-related quality of life among Chinese earthquake survivors

description: It has been well-documented that posttraumatic stress symptoms cause impairments in health-related quality of life (HRQoL). Until now we have little data on how DSM-5 PTSD symptom dimensions relate to different aspects of HRQoL. Clarifying this question would be informative to improve the quality of life of PTSD patients. This study aimed to investigate the effects of dimensions of a well-supported seven-factor model of DSM-5 PTSD symptoms on physical and psychosocial HRQoL. A total of 1063 adult survivors of the 2008 Wenchuan earthquake took part in this study nine years after the disaster. PTSD symptoms were measured by the PTSD Checklist for DSM-5 (PCL-5). HRQoL was measured by the Medical Outcomes Survey Short Form-36 (SF-36). The associations between PTSD symptom dimensions and HRQoL were examined using structural equation models. Dysphoric arousal symptoms were found to significantly relate to physical HRQoL. Other symptom dimensions were not associated with HRQoL. Our findings contribute to the relationship between DSM-5 PTSD and HRQoL, and carry implications for further clinical practice and research on trauma-exposed individuals.
DOI: 10.6084/m9.figshare.22354300.v1
title: Tail Spectral Density Estimation and Its Uncertainty Quantification: Another Look at Tail Dependent Time Series Analysis

description: We consider the estimation and uncertainty quantification of the tail spectral density, which provide a foundation for tail spectral analysis of tail dependent time series. The tail spectral density has a particular focus on serial dependence in the tail, and can reveal dependence information that is otherwise not discoverable by the traditional spectral analysis. Understanding the convergence rate of tail spectral density estimators and finding rigorous ways to quantify their statistical uncertainty, however, still stand as a somewhat open problem. The current article aims to fill this gap by providing a novel asymptotic theory on quadratic forms of tail statistics in the double asymptotic setting, based on which we develop the consistency and the long desired central limit theorem for tail spectral density estimators. The results are then used to devise a clean and effective method for constructing confidence intervals to gauge the statistical uncertainty of tail spectral density estimators, and it can be turned into a visualization tool to aid practitioners in examining the tail dependence for their data of interest. Numerical examples including data applications are presented to illustrate the developed results. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7149971
title: Bibliometric analysis of recent sodium channel research

description: Although sodium channels have been a hot multidisciplinary focus for decades and most of nerve system drugs worked on alerting sodium channel function, the trends and future directions of sodium channel studies have not been comprehensive analyzed bibliometrically. Herein, we collected the scientific publications of sodium channels research and constructed a model to evaluate the current trend systematically. Publications were selected from the Web of Science Core Collection (WoSCC) database from 2013 to 2017. Microsoft Excel 2016, Prism 6, and CiteSpace V software were used to analyze publication outputs, journal sources, countries, territories, institutions, authors, and research areas. A total of 4,275 publications on sodium channel research were identified. PLoS ONE ranked top for publishing 170 papers. The United States of America had the largest number of publications (1,595), citation frequency (19,490), and H-index (53). S. G. Waxman (62 publications) and W. A. Catterall (585 citations) were the most productive authors and had the greatest co-citation counts. This is the first report that shows the trends and future development in sodium channel publications, and our study provides a clear profile for the contribution to this field by countries, authors, keywords, and institutions.
DOI: 10.6084/m9.figshare.7149971.v1
title: Bibliometric analysis of recent sodium channel research

description: Although sodium channels have been a hot multidisciplinary focus for decades and most of nerve system drugs worked on alerting sodium channel function, the trends and future directions of sodium channel studies have not been comprehensive analyzed bibliometrically. Herein, we collected the scientific publications of sodium channels research and constructed a model to evaluate the current trend systematically. Publications were selected from the Web of Science Core Collection (WoSCC) database from 2013 to 2017. Microsoft Excel 2016, Prism 6, and CiteSpace V software were used to analyze publication outputs, journal sources, countries, territories, institutions, authors, and research areas. A total of 4,275 publications on sodium channel research were identified. PLoS ONE ranked top for publishing 170 papers. The United States of America had the largest number of publications (1,595), citation frequency (19,490), and H-index (53). S. G. Waxman (62 publications) and W. A. Catterall (585 citations) were the most productive authors and had the greatest co-citation counts. This is the first report that shows the trends and future development in sodium channel publications, and our study provides a clear profile for the contribution to this field by countries, authors, keywords, and institutions.
DOI: 10.6084/m9.figshare.17111435.v1
title: Prediction of the molecular mechanism of eucommiae Cortex - Achyranthis bidentatae radix in the treatment of osteoarthritis: network pharmacology and molecular docking

description: To retrieve the core drug of osteoarthritis in clinic using Data Mining, predict the drug molecular action target through the Network Pharmacology, identify the key nodes of the interaction by combining with the related targtes of osteoarthritis, explore the pharmacological mechanism of Traditional Chinese Medicine against osteoarthritis and other possible mechanisms of actions. to retrieve the commonly used therapeutic formulations for osteoarthritis patients in clinical with PubMed, CNKI, VIP, CBM, Wan Fang Database and other databases, and screen out the core drugs through the Ancient and Modern Medical Case Cloud Platform and software Gephi, filter out the core drug molecules and targets combined with TCMSP database and the targets of osteoarthritis in Genecard and OMIM database, plunge those data into R project and Cytoscape to construct the intersection model of Drug molecule-osteoarthritis, establish PPI network and GO and conduct KEGG enrichment analysis with String database. Vina molecular docking was finally implemented to draw molecular docking diagram, and the results were analyzed after comprehensive analysis. The core drug pairs were identified as ‘Eucommiae Cortex - Achyranthis Bidentatae Radix’ through correlation analysis, complex network analysis based on the coefficient. ‘Eucommiae Cortex - Achyranthis Bidentatae Radix’ can intervene cell behavior through multiple pathways and regulate cell metabolism, cytokine synthesis, oxidative and cellular immunity with the help of topology analysis in String Database. The core molecules of Quercetin and Kaempferol derived from ‘Eucommia bark – achyranthes’ can change the spatial conformation of PTGSs by hydrogen bonding with PTGSs, the hydrophobic bonds and van der Waals forces generated by Baicalein, Wogonin and β-carotene, thereby changing the activity of PTGSs and affecting bone properties the process of osteoarthritis.
DOI: 10.6084/m9.figshare.9772118
title: Metadata record for: Reference gene set and small RNA set construction with multiple tissues from Davidia involucrata Baill.

description: This dataset contains key characteristics about the data described in the Data Descriptor Reference gene set and small RNA set construction with multiple tissues from Davidia involucrata Baill.. <br>
 Contents: <br>
 
 1. human readable metadata summary table in CSV format
 
 
 2. machine readable metadata file in JSON format 
 3. machine readable metadata file in ISA-Tab format (zipped folder)<br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br> <br>

 <br>
DOI: 10.6084/m9.figshare.9772118.v1
title: Metadata record for: Reference gene set and small RNA set construction with multiple tissues from Davidia involucrata Baill.

description: This dataset contains key characteristics about the data described in the Data Descriptor Reference gene set and small RNA set construction with multiple tissues from Davidia involucrata Baill.. <br>
 Contents: <br>
 
 1. human readable metadata summary table in CSV format
 
 
 2. machine readable metadata file in JSON format 
 <br> <br>

 <br>
DOI: 10.6084/m9.figshare.22877563.v1
title: Additional file 3 of High-resolution Hi-C maps highlight multiscale chromatin architecture reorganization during cold stress in Brachypodium distachyon

description: Additional file 3: Table S2. A/B compartments identified at 50 kb resolution.
DOI: 10.6084/m9.figshare.10296524
title: Identification of the molecular mechanisms associated with acute type A aortic dissection through bioinformatics methods

description: Aortic dissection is characterized by the redirection of blood flow, which flows through an intimal tear into the aortic media. The purpose of this study was to find potential acute type A aortic dissection (AAAD)-related genes and molecular mechanisms by bioinformatics. The gene expression profiles of GSE52093 were obtained from Gene Expression Omnibus (GEO) database, including 7 AAAD samples and 5 normal samples. The differentially expressed genes (DEGs) were detected between AAAD and normal samples. The functional annotation and pathway enrichment analysis were conducted through the Database for Annotation, Visualization and Integration Discovery (DAVID). A protein-protein interaction network was established by the Search Tool for the Retrieval of Interacting Genes (STRING) software. The microRNAs (miRNAs) of these differentially expressed genes were predicted using database. Moreover, DEGs were analyzed in the comparative toxicogenomics (CTD) database to screen out the potential therapeutic small molecules. As a result, there were 172 DEGs identified in patients with AAAD. These DEGs were significantly enriched in 6 pathways, including cell cycle, oocyte meiosis, DNA replication, extracellular matrix-receptor interaction, and mineral absorption pathway. Notably, CDC20, CDK1, CHEK1, KIF20A, MCM10, PBK, PTTG1, RACGAP, and TOP2A were crucial genes with a high degree in the protein-protein interaction network. Furthermore, potential miRNAs (miR-301, miR-302 family, and miR-130 family) were identified. In addition, small molecules like azathioprine and zoledronic acid were identified to be potential drugs for AAAD.
DOI: 10.6084/m9.figshare.10296524.v1
title: Identification of the molecular mechanisms associated with acute type A aortic dissection through bioinformatics methods

description: Aortic dissection is characterized by the redirection of blood flow, which flows through an intimal tear into the aortic media. The purpose of this study was to find potential acute type A aortic dissection (AAAD)-related genes and molecular mechanisms by bioinformatics. The gene expression profiles of GSE52093 were obtained from Gene Expression Omnibus (GEO) database, including 7 AAAD samples and 5 normal samples. The differentially expressed genes (DEGs) were detected between AAAD and normal samples. The functional annotation and pathway enrichment analysis were conducted through the Database for Annotation, Visualization and Integration Discovery (DAVID). A protein-protein interaction network was established by the Search Tool for the Retrieval of Interacting Genes (STRING) software. The microRNAs (miRNAs) of these differentially expressed genes were predicted using database. Moreover, DEGs were analyzed in the comparative toxicogenomics (CTD) database to screen out the potential therapeutic small molecules. As a result, there were 172 DEGs identified in patients with AAAD. These DEGs were significantly enriched in 6 pathways, including cell cycle, oocyte meiosis, DNA replication, extracellular matrix-receptor interaction, and mineral absorption pathway. Notably, CDC20, CDK1, CHEK1, KIF20A, MCM10, PBK, PTTG1, RACGAP, and TOP2A were crucial genes with a high degree in the protein-protein interaction network. Furthermore, potential miRNAs (miR-301, miR-302 family, and miR-130 family) were identified. In addition, small molecules like azathioprine and zoledronic acid were identified to be potential drugs for AAAD.
DOI: 10.6084/m9.figshare.8199377
title: Corrosion resistance and cytotoxicity of AZ31 magnesium alloy with N<sup>+</sup> ion implantation

description: In recent years, magnesium (Mg) alloys, as biodegradable materials, have attracted increasing interest in cardiovascular and orthopedic applications. However, their high corrosion rates hinder the development of Mg alloys in clinical treatment. To improve this condition, the research described here focuses on addressing techniques that are critical to reducing the corrosion rate of Mg alloys. We applied nitrogen (N<sup>+</sup>) ion implantation into AZ31 Mg alloy to modify their surface properties, and examined the cytotoxicity of the samples through cell culture experiment. The proposed research investigates the following aspects that are important for the design of biomaterials based on Mg alloy: (a) the potential role of N<sup>+</sup> ion implantation in reducing corrosion of Mg alloy; (b) non-toxicity for Mg alloy implanted with N<sup>+</sup> ion. Our results indicate that AZ31 Mg alloy with N<sup>+</sup> ions implantation is a very promising biological material, which has a profound impact on the development of biomedicine.
DOI: 10.6084/m9.figshare.8199377.v1
title: Corrosion resistance and cytotoxicity of AZ31 magnesium alloy with N<sup>+</sup> ion implantation

description: In recent years, magnesium (Mg) alloys, as biodegradable materials, have attracted increasing interest in cardiovascular and orthopedic applications. However, their high corrosion rates hinder the development of Mg alloys in clinical treatment. To improve this condition, the research described here focuses on addressing techniques that are critical to reducing the corrosion rate of Mg alloys. We applied nitrogen (N<sup>+</sup>) ion implantation into AZ31 Mg alloy to modify their surface properties, and examined the cytotoxicity of the samples through cell culture experiment. The proposed research investigates the following aspects that are important for the design of biomaterials based on Mg alloy: (a) the potential role of N<sup>+</sup> ion implantation in reducing corrosion of Mg alloy; (b) non-toxicity for Mg alloy implanted with N<sup>+</sup> ion. Our results indicate that AZ31 Mg alloy with N<sup>+</sup> ions implantation is a very promising biological material, which has a profound impact on the development of biomedicine.
DOI: 10.6084/m9.figshare.9772310
title: Hyperosmotic stress in <i>Chlamydomonas</i> induces metabolomic changes in biosynthesis of complex lipids

description: To study the early stress response of the green microalga <i>Chlamydomonas reinhardtii</i> CC-503, we exposed cells to hyperosmotic conditions for a period of 5 hours, sampling at eight time points. We performed metabolomic analysis of primary metabolism using gas chromatography/time-of-flight mass spectrometry (GC-TOF MS), and lipidomic analysis by liquid chromatography/quadrupole time-of-flight mass spectrometry (CSH-QTOF MS). Under hyperosmotic stress, many mono- and disaccharides increased along with the concentrations of sugar alcohols similar to osmoprotectants in higher plants. The levels of 13 proteinogenic amino acids increased, suggesting increased biosynthesis over the course of 5 hours, which is clearly a slower response than carbohydrate metabolism. TCA cycle compounds decreased in a tightly co-regulated manner under hyperosmotic stress as a cataplerotic reaction to provide carbon backbones for amino acid biosynthesis. Of note, levels of free palmitoyl-compounds (palmitic acid and monopalmitin) decreased over the stress time course in an opposite pattern to the increase in stearoyl compounds. Triglycerides that increased in concentration under osmotic stress were on average three carbons longer and had four more double bonds compared with triglycerides that remained unchanged. Along with the difference in C18-fatty acids compared with C16-fatty acids, these changes may indicate a specific activation of elongases and desaturases or remodelling from membrane acyl-lipids towards triacylglcyerides.
DOI: 10.6084/m9.figshare.9772310.v1
title: Hyperosmotic stress in <i>Chlamydomonas</i> induces metabolomic changes in biosynthesis of complex lipids

description: To study the early stress response of the green microalga <i>Chlamydomonas reinhardtii</i> CC-503, we exposed cells to hyperosmotic conditions for a period of 5 hours, sampling at eight time points. We performed metabolomic analysis of primary metabolism using gas chromatography/time-of-flight mass spectrometry (GC-TOF MS), and lipidomic analysis by liquid chromatography/quadrupole time-of-flight mass spectrometry (CSH-QTOF MS). Under hyperosmotic stress, many mono- and disaccharides increased along with the concentrations of sugar alcohols similar to osmoprotectants in higher plants. The levels of 13 proteinogenic amino acids increased, suggesting increased biosynthesis over the course of 5 hours, which is clearly a slower response than carbohydrate metabolism. TCA cycle compounds decreased in a tightly co-regulated manner under hyperosmotic stress as a cataplerotic reaction to provide carbon backbones for amino acid biosynthesis. Of note, levels of free palmitoyl-compounds (palmitic acid and monopalmitin) decreased over the stress time course in an opposite pattern to the increase in stearoyl compounds. Triglycerides that increased in concentration under osmotic stress were on average three carbons longer and had four more double bonds compared with triglycerides that remained unchanged. Along with the difference in C18-fatty acids compared with C16-fatty acids, these changes may indicate a specific activation of elongases and desaturases or remodelling from membrane acyl-lipids towards triacylglcyerides.
DOI: 10.6084/m9.figshare.24452380
title: Trend estimation: Trend bound (Trend<sub>UB/LB</sub>), GRACE trend (Trend<sub>G</sub>), PI trend (Trend<sub>PI</sub>), and NPI trend (Trend<sub>NPI</sub>)

description: These data evaluate the range of TWS trend variations under natural conditions (Trend<sub>UB/LB</sub>, 1901-2014), GRACE trend (Trend<sub>G</sub>, 2003-2016), precipitation-induced trend (Trend<sub>PI</sub>, 2003-2016), and non-precipitation-induced trend (Trend<sub>NPI</sub>, 2003-2016) for global 266 basins. The range of TWS trend variations is also estimated for the overlap period (1979-2014) by JPL-GSWP3 and JPL-MSWEP, respectively.
DOI: 10.18419/darus-3977
title: Code for From Shapes to Shapes

description: This dataset contains the implementation code for an algorithm to infer SHACL shapes that the graph returned by an SPARQL CONSTRUCT query must satisfy if the input satisfies a given set of SHACL shapes. This dataset also includes an evaluation for the algorithm. The algorithm implemented in this dataset is proposed in the paper From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. To execute the code, follow the instructions in the README.md file. For more info, please check the paper, and please have no hesitation to contact the authors for any inquiries.
DOI: 10.6084/m9.figshare.15015242
title: 1,2,3-Triazole lamellar liquid crystal and its non-covalent palladium complex dimer: structure, mesomorphism and self-assembly properties

description: 1,4-disubstituted 1H-1,2,3-triazoles <b>L</b> was successfully synthesised using a catalyst-free click reaction between an internal alkyne and an azide compound. Refluxing click product <b>L</b> and palladium chloride in a homogeneous mixed solvent led to the formation of the non-covalent palladium chloride complex <b>PdCl<sub>2</sub>-L<sub>2</sub></b>, which was characterised by X-ray crystallographic analysis of the template compound, indicating that the complex adopts predominant trans-trans isomeric orientations. The two compounds showed a typical fan-shaped texture of the lamellar mesophase. Because of weak Pd-N coordination bond connections, <b>PdCl<sub>2</sub>-L<sub>2</sub></b> is a monotropic liquid crystal with a narrower mesomorphic temperature range and relatively poorer thermal stability than ligand <b>L</b>. Furthermore, both <b>L</b> and the complex dimer can self-assemble into strip-shaped nanostructures on the oriented graphite substrate surface.
DOI: 10.6084/m9.figshare.22877566.v1
title: Additional file 4 of High-resolution Hi-C maps highlight multiscale chromatin architecture reorganization during cold stress in Brachypodium distachyon

description: Additional file 4: Table S3. TADs identified at 5 kb resolution.
DOI: 10.34683/sr144
title: StoneRounds Case: SR144
title: AR Retinitis Pigmentosa

description: StoneRounds Case SR144 was diagnosed with AR Retinitis Pigmentosa likely caused by mutations in the gene: USH2A.
DOI: 10.6084/m9.figshare.11945961
title: Additional file 4 of Transcriptome profiling provides insights into molecular mechanism in Peanut semi-dwarf mutant

description: Additional file 4 Table S2. Differentially expressed genes of leaf between sdm2 and FH1.
DOI: 10.6084/m9.figshare.22354300
title: Tail Spectral Density Estimation and Its Uncertainty Quantification: Another Look at Tail Dependent Time Series Analysis

description: We consider the estimation and uncertainty quantification of the tail spectral density, which provide a foundation for tail spectral analysis of tail dependent time series. The tail spectral density has a particular focus on serial dependence in the tail, and can reveal dependence information that is otherwise not discoverable by the traditional spectral analysis. Understanding the convergence rate of tail spectral density estimators and finding rigorous ways to quantify their statistical uncertainty, however, still stand as a somewhat open problem. The current article aims to fill this gap by providing a novel asymptotic theory on quadratic forms of tail statistics in the double asymptotic setting, based on which we develop the consistency and the long desired central limit theorem for tail spectral density estimators. The results are then used to devise a clean and effective method for constructing confidence intervals to gauge the statistical uncertainty of tail spectral density estimators, and it can be turned into a visualization tool to aid practitioners in examining the tail dependence for their data of interest. Numerical examples including data applications are presented to illustrate the developed results. Supplementary materials for this article are available online.