cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17122254.v1
title: Rotigotine protects against oxidized low-density lipoprotein(ox-LDL)-induced damages in human umbilical vein endothelial cells(HUVECs)

description: Rotigotine is a non-ergoline dopamine agonist that has been licensed for the treatment of Parkinson’s disease. Cardiovascular diseases are the world’s leading cause of death. Ox-LDL- induced endothelial damages are involved in the initiation and progression of cardiovascular diseases. In this study, we assessed the beneficial properties of Rotigotine on ox-LDL-induced insults to HUVECs to highlight its potential use in the treatment of cardiovascular diseases. Our findings show that Rotigotine suppresses the expressions of low-density lipoprotein receptor (LDL-R), proprotein convertase subtilisin/kexin type 9 (PCSK-9), and sterol regulatory element-binding protein (SREBP-2). It also inhibits ox-LDL-induced cholesterol accumulation in endothelial cells (ECs), improves U937 monocytes adhesion, and decreases the representation of NADPH oxidase (NOX-4) and generation of reactive oxygen species (ROS) in endothelial cells (ECs). Furthermore, Rotigotine inhibited the expressions of both vascular cellular adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1) in HUVECs and had anti-inflammatory efficacy in ox-LDL-induced cells by inhibiting the expressions of pro-inflammatory cytokines. Notably, Rotigotine inhibits the activation of nuclear factor-kappaB (NF-κB) by preventing nuclear translocation of NF-κB p65 and reducing the luciferase activity of NF-κB reporter. We, therefore, conclude that these effects of Rotigotine on HUVECs suggest that it may play a therapeutic role in cardiovascular diseases.
DOI: 10.6084/m9.figshare.12928415.v1
title: Methodology for Generating Covariance Data of Thermal Neutron Scattering Cross Sections

description: This paper details and implements a framework for evaluating thermal neutron scattering cross sections that provide S(α,β) data and covariance data for hydrogen in light water. This methodology involves perturbing model parameters of molecular dynamics potentials and fitting the simulation results to experimental data. The framework is general and can be applied to any material or simulation method. The fit is made using the Unified Monte Carlo method to experimentally measure double-differential scattering cross sections of light water at the Spallation Neutron Source at Oak Ridge National Laboratory. Mean values and covariance data were generated for model parameters, phonon density of states, double-differential cross sections, and total scattering cross sections. These posterior parameter values were very similar to their prior values with a maximum relative error of 0.54%. This falls within in the Unified Monte Carlo–calculated uncertainties on the order of 2.7%. Additionally, posterior double-differential cross sections agree favorably with ENDF/B-VIII.0 cross sections. The new thermal scattering law was tested by comparing it against benchmarks from the International Criticality Safety Benchmark Evaluation Project Handbook, which showed a slight improvement over the ENDF/B-VIII.0 library. Additionally, the covariance matrix of the phonon density of states was validated to confirm that the spread of k<sub>eff</sub> from the density of states used to generate the covariance matrix was similar to the spread of k<sub>eff</sub> from the density of states of the sampled covariance matrix.
DOI: 10.6084/m9.figshare.21430965.v1
title: Additional file 2 of Transposable element expansion and low-level piRNA silencing in grasshoppers may cause genome gigantism

description: Additional file 2: Table S1. Proportion of repetitive elements in the genome. Table S2. Comparative analysis of repeat sequences in two species. Table S3. List of 41 TEs shared in the two species (copy number &gt;500). Table S4. Annotations of Class I retrotransposon transcript (TPM&gt;1). Table S5. Retrotransposon transcript quantification matrix (TPM normalization) of L. migratoria. Table S6. Retrotransposon transcript quantification matrix (TPM normalization) of A. rhodopa. Table S7. Abundance of piRNAs corresponding to 41 shared TEs (RPM normalization). Table S8. Abundance of sense piRNAs corresponding to L. migratoria retrotransposon transcripts (RPM normalization). Table S9. Abundance of antisense piRNAs corresponding to L. migratoria retrotransposon transcripts (RPM normalization). Table S10. Abundance of sense piRNAs corresponding to A. rhodopa retrotransposon transcripts (RPM normalization). Table S11. Abundance of antisense piRNAs corresponding to A. rhodopa retrotransposon transcripts (RPM normalization). Table S12. List of K2P divergence and abundance of 41 shared-TEs.
DOI: 10.6084/m9.figshare.11879748
title: Supplementary Information.docx

description: Supplementary Information for Cross-cumulant enhanced radiality nanoscopy for multicolor super-resolution subcellular imaging
DOI: 10.6084/m9.figshare.19219449
title: Additional file 2 of Mesenchymal Mycn participates in odontoblastic lineage commitment by regulating Krüppel-like Factor 4 (Klf4) in mice

description: Additional file 2. The results of enriched peaks identified by CUT&Tag analysis.
DOI: 10.6084/m9.figshare.14498741
title: Additional file 15 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 15: Data Sets 5. Information of stem-specific expressed genes in this study.
DOI: 10.6084/m9.figshare.8209436
title: The dynamics of FTO binding and demethylation from the m<sup>6</sup>A motifs

description: <i>N</i><sup>6</sup>-methyladenosine (m<sup>6</sup>A) is considered as a reversible RNA modification occurring more frequently on the GAC than AAC context <i>in vivo</i>, which regulates post-transcriptional gene expression in mammalian cells. m<sup>6</sup>A ‘writers’ METTL3 and METTL14 demonstrate a strong preference for binding AC-containing motifs in living cells. However, this evidence is currently lacking for m<sup>6</sup>A erasers, leaving the dynamics of the internal m<sup>6</sup>A modification under debate recently. We analysed three recently published FTO CLIP-seq data sets and two generated in this study, one of the two known m<sup>6</sup>A ‘erasers’. FTO binding peaks from all cell lines contain RRACH motifs. Only those from K562, 3T3-L1and HeLa cells were enriched in AC-containing motifs, while those from HEK293 were not. The exogenously overexpressed FTO effectively binds to m<sup>6</sup>A motif-containing RNA sites. FTO overexpression specifically removed m<sup>6</sup>A modification from GGACU and RRACU motifs in a concentration-dependent manner. These findings underline the dynamics of FTO in target selection, which is predicted to contribute to both the m<sup>6</sup>A dynamics and the FTO plasticity in biological functions and diseases.
DOI: 10.6084/m9.figshare.14498732.v1
title: Additional file 12 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 12: Data Sets 2. Expression pattern of genes and TFs in all samples.
DOI: 10.6084/m9.figshare.8209436.v1
title: The dynamics of FTO binding and demethylation from the m<sup>6</sup>A motifs

description: <i>N</i><sup>6</sup>-methyladenosine (m<sup>6</sup>A) is considered as a reversible RNA modification occurring more frequently on the GAC than AAC context <i>in vivo</i>, which regulates post-transcriptional gene expression in mammalian cells. m<sup>6</sup>A ‘writers’ METTL3 and METTL14 demonstrate a strong preference for binding AC-containing motifs in living cells. However, this evidence is currently lacking for m<sup>6</sup>A erasers, leaving the dynamics of the internal m<sup>6</sup>A modification under debate recently. We analysed three recently published FTO CLIP-seq data sets and two generated in this study, one of the two known m<sup>6</sup>A ‘erasers’. FTO binding peaks from all cell lines contain RRACH motifs. Only those from K562, 3T3-L1and HeLa cells were enriched in AC-containing motifs, while those from HEK293 were not. The exogenously overexpressed FTO effectively binds to m<sup>6</sup>A motif-containing RNA sites. FTO overexpression specifically removed m<sup>6</sup>A modification from GGACU and RRACU motifs in a concentration-dependent manner. These findings underline the dynamics of FTO in target selection, which is predicted to contribute to both the m<sup>6</sup>A dynamics and the FTO plasticity in biological functions and diseases.
DOI: 10.6084/m9.figshare.21430980
title: Additional file 1 of Long noncoding RNA IRF1-AS is associated with peste des petits ruminants infection

description: Additional file 1. Cis model predicated target genes of DE lncRNAs. 600 target genes for 162 DE lncRNAs were predicated by searching for protein coding genes within 100 kb of each DE lncRNA.
DOI: 10.5281/zenodo.10528979
title: Images of minirhizotron 5 and 6 during 2022 and 2023 in Schifflange (Luxembourg)
DOI: 10.5281/zenodo.10528980
title: Images of minirhizotron 5 and 6 during 2022 and 2023 in Schifflange (Luxembourg)
DOI: 10.6084/m9.figshare.14498747.v1
title: Additional file 17 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 17: Data Sets 7. Information of DEGs in the GA and JA pathway.
DOI: 10.6084/m9.figshare.14498825
title: Additional file 1 of Insights into genomic evolution from the chromosomal and mitochondrial genomes of Ustilaginoidea virens

description: Additional file 1: Table S1. Chromosome lengths in genome assemblies of U. virens strains UV8b and UVP1. Table S2. List of candidate effector proteins in U. virens. Table S3. The average distance of effector genes apart from adjacent transposable elements in U. virens genome. Table S4. Conservation analysis of candidate effector proteins in U. virens compared with the closely related fungal species M. anisopliae and F. graminearum. Table S5. Location of the U. virens strains collected in this study. Table S6. SNP frequencies in coding sequences of candidate effector- and secreted protein-encoding genes in different U. virens strains compared with the reference genome. Table S7. The predicted structural variations between U. virens UV8b and UVP1 genomes. Table S8. Lineage specific regions in UV8b genome identified through comparisons with other U. virens strains. Table S9. The sizes of fungal mitochondrial genomes collected from MiToFun database. Table S10. The putative open reading frames in intronic regions of the mitochondrial genes in UV8b. Table S11. The sizes of mitochondrial genomes in different U. virens strains. Table S12. The quality of genome assemblies using non-hybrid and hybrid assembling methods.
DOI: 10.6084/m9.figshare.21430986.v1
title: Additional file 3 of Long noncoding RNA IRF1-AS is associated with peste des petits ruminants infection

description: Additional file 3. A total of 852 target genes for 191 DE lncRNAs in the mock-infected and PPRV-infected groups were predicted. The union of target genes predicated by cis and target genes predicated by RNAplex was seen as the target genes for all DE lncRNAs.
DOI: 10.6084/m9.figshare.21430965
title: Additional file 2 of Transposable element expansion and low-level piRNA silencing in grasshoppers may cause genome gigantism

description: Additional file 2: Table S1. Proportion of repetitive elements in the genome. Table S2. Comparative analysis of repeat sequences in two species. Table S3. List of 41 TEs shared in the two species (copy number &gt;500). Table S4. Annotations of Class I retrotransposon transcript (TPM&gt;1). Table S5. Retrotransposon transcript quantification matrix (TPM normalization) of L. migratoria. Table S6. Retrotransposon transcript quantification matrix (TPM normalization) of A. rhodopa. Table S7. Abundance of piRNAs corresponding to 41 shared TEs (RPM normalization). Table S8. Abundance of sense piRNAs corresponding to L. migratoria retrotransposon transcripts (RPM normalization). Table S9. Abundance of antisense piRNAs corresponding to L. migratoria retrotransposon transcripts (RPM normalization). Table S10. Abundance of sense piRNAs corresponding to A. rhodopa retrotransposon transcripts (RPM normalization). Table S11. Abundance of antisense piRNAs corresponding to A. rhodopa retrotransposon transcripts (RPM normalization). Table S12. List of K2P divergence and abundance of 41 shared-TEs.
DOI: 10.6084/m9.figshare.21430986
title: Additional file 3 of Long noncoding RNA IRF1-AS is associated with peste des petits ruminants infection

description: Additional file 3. A total of 852 target genes for 191 DE lncRNAs in the mock-infected and PPRV-infected groups were predicted. The union of target genes predicated by cis and target genes predicated by RNAplex was seen as the target genes for all DE lncRNAs.
DOI: 10.6084/m9.figshare.6637094.v1
title: figures and table from Effect of high-frequency electric field on the tissue sticking of minimally invasive electrosurgical devices

description: Figure 1. Electrosurgical cutting experimental setup and electrode sample, (a) Electrosurgical cutting experimental setup,1-ESU, 2-feeding device, 3-active electrode pen, 4-active electrode, 5-porcine liver, 6-dispersive electrode, 7-locating device; (b) Standard blade-type 304 stainless steel monopolar active electrode Figure 2. Schematic diagrams of heat-adherence test and thermographs, (a) Schema of heat-adherence test; (b) Thermograph of heat-adherence test, side view; (c) Thermograph of heat-adherence test, front view; (d) Thermograph of electrosurgical cutting Figure 3. Schematic representation of tensile test samples’ preparation Figure 4. SEM micrographs and EDX spectrums of electrode surfaces, (a) SEM micrograph of original electrode; (b) EDX spectrum of original electrode; (c) SEM micrograph after electrosurgical cutting test; (d) EDX spectrum after electrosurgical cutting test; (e) SEM micrograph after heat-adherence test; (f) EDX spectrum after heat-adherence test Figure 5. FTIR spectrums of sticking tissues on electrode surfaces after the two tests Figure 6. SEM micrographs of electrode cross sections, (a) after electrosurgical cutting test; (b) after heat-adherence test Figure 7. Three-dimensional morphologies of cleaned surfaces of electrodes, (a) original electrode; (b) after electrosurgical cutting test; (c) after heat-adherence test Figure 8. OM micrographs of electrode surfaces after tensile testing, (a) original electrode as a control; (b) electrode from heat-adherence test; (c) electrode from electrosurgical cutting test. Figure 9. Histological examples of porcine liver tissue sample after electrosurgical cutting test Figure 10. SEM micrograph and EDX spectrum of the electrode surface after smoke collection, (a) SEM micrograph; EDX spectrum Figure 11. Schematic diagrams of porcine liver tissue, electrosurgery procedure and formation process of sticking tissue upon electrode, (a) porcine liver tissue; (b) electrosurgery procedure; (c) formation process of sticking tissue upon electrode;Tensile properties of sticking tissue-electrode interface after electrosurgical cutting test and heat-adherence test
DOI: 10.6084/m9.figshare.21256878
title: Transposon consensus sequence, transcriptome assembly, and annotation information of Locusta migratoria manilensis and Angaracris rhodopa

description: The data contained in this project is as follows. TE consensus sequence generated by dnaPipeTE. Transcripts obtained by Trinity assembly. Gene annotation of transcripts and annotation information of transposon transcripts. TE consensus sequences shared by both species (copy number &gt; 500). Orthoptera_nr_repeatmasker.lib was constructed by RepeatModeler2.0 on the genome data of Gryllus bimaculatus, Teleogryllus occipitalis, Xya riparia, Locusta migratoria, and Schistocerca gregaria.
DOI: 10.6084/m9.figshare.14498735.v1
title: Additional file 13 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 13: Data Sets 3. Expression pattern of genes and TFs in control samples.
DOI: 10.6084/m9.figshare.14498738.v1
title: Additional file 14 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 14: Data Sets 4. DEGs and TFs of DEGs in this study.
DOI: 10.6084/m9.figshare.6637094
title: figures and table from Effect of high-frequency electric field on the tissue sticking of minimally invasive electrosurgical devices

description: Figure 1. Electrosurgical cutting experimental setup and electrode sample, (a) Electrosurgical cutting experimental setup,1-ESU, 2-feeding device, 3-active electrode pen, 4-active electrode, 5-porcine liver, 6-dispersive electrode, 7-locating device; (b) Standard blade-type 304 stainless steel monopolar active electrode Figure 2. Schematic diagrams of heat-adherence test and thermographs, (a) Schema of heat-adherence test; (b) Thermograph of heat-adherence test, side view; (c) Thermograph of heat-adherence test, front view; (d) Thermograph of electrosurgical cutting Figure 3. Schematic representation of tensile test samples’ preparation Figure 4. SEM micrographs and EDX spectrums of electrode surfaces, (a) SEM micrograph of original electrode; (b) EDX spectrum of original electrode; (c) SEM micrograph after electrosurgical cutting test; (d) EDX spectrum after electrosurgical cutting test; (e) SEM micrograph after heat-adherence test; (f) EDX spectrum after heat-adherence test Figure 5. FTIR spectrums of sticking tissues on electrode surfaces after the two tests Figure 6. SEM micrographs of electrode cross sections, (a) after electrosurgical cutting test; (b) after heat-adherence test Figure 7. Three-dimensional morphologies of cleaned surfaces of electrodes, (a) original electrode; (b) after electrosurgical cutting test; (c) after heat-adherence test Figure 8. OM micrographs of electrode surfaces after tensile testing, (a) original electrode as a control; (b) electrode from heat-adherence test; (c) electrode from electrosurgical cutting test. Figure 9. Histological examples of porcine liver tissue sample after electrosurgical cutting test Figure 10. SEM micrograph and EDX spectrum of the electrode surface after smoke collection, (a) SEM micrograph; EDX spectrum Figure 11. Schematic diagrams of porcine liver tissue, electrosurgery procedure and formation process of sticking tissue upon electrode, (a) porcine liver tissue; (b) electrosurgery procedure; (c) formation process of sticking tissue upon electrode;Tensile properties of sticking tissue-electrode interface after electrosurgical cutting test and heat-adherence test
DOI: 10.6084/m9.figshare.14498741.v1
title: Additional file 15 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 15: Data Sets 5. Information of stem-specific expressed genes in this study.
DOI: 10.6084/m9.figshare.12928349
title: Risks and features of secondary infections in severe and critical ill COVID-19 patients

description: <i>Objectives</i> Severe or critical COVID-19 is associated with intensive care unit admission, increased secondary infection rate, and would lead to significant worsened prognosis. Risks and characteristics relating to secondary infections in severe COVID-19 have not been described. <i>Methods</i> Severe and critical COVID-19 patients from Shanghai were included. We collected lower respiratory, urine, catheters, and blood samples according to clinical necessity and culture and mNGS were performed. Clinical and laboratory data were archived. <i>Results</i> We found 57.89% (22/38) patients developed secondary infections. The patient receiving invasive mechanical ventilation or in critical state has a higher chance of secondary infections (<i>P</i>&lt;0.0001). The most common infections were respiratory, blood-stream and urinary infections, and in respiratory infections, the most detected pathogens were gram-negative bacteria (26, 50.00%), following by gram-positive bacteria (14, 26.92%), virus (6, 11.54%), fungi (4, 7.69%), and others (2, 3.85%). Respiratory Infection rate post high flow, tracheal intubation, and tracheotomy were 12.90% (4/31), 30.43% (7/23), and 92.31% (12/13) respectively. Secondary infections would lead to lower discharge rate and higher mortality rate. <i>Conclusion</i> Our study originally illustrated secondary infection proportion in severe and critical COVID-19 patients. Culture accompanied with metagenomics sequencing increased pathogen diagnostic rate. Secondary infections risks increased after receiving invasive respiratory ventilations and intravascular devices, and would lead to a lower discharge rate and a higher mortality rate.
DOI: 10.6084/m9.figshare.14498744
title: Additional file 16 of Transcriptome dynamic landscape underlying the improvement of maize lodging resistance under coronatine treatment

description: Additional file 16: Data Sets 6. Information of DEGs in stem-specific expression genes.
DOI: 10.6084/m9.figshare.17125520.v1
title: Data Set (D-Dimer).xlsx

description: This was a retrospective observational study in 259 critically ill COVID-19 patients requiring intensive care unit admission between March and December 2020. We compared the mortality rate between patients with and without elevated D-dimer
DOI: 10.6084/m9.figshare.19092233.v2
title: BibliometricAtaxias

description: Se presentan cuatro bases de datos construidas a partir de información recuperada de Scopus, el día 5 de diciembre de 2021. La búsqueda consiste en aquellos documentos que contienen el texto “spinocerebellar ataxia”, al menos en sus respectivos títulos, resúmenes, o palabras claves. El archivo 'ataxia.csv' facilita el análisis bibliométrico con ayuda de VOSviewer (https://www.vosviewer.com/). El archivo 'scopus.bib' es el resultado del mismo proceso de búsqueda, pero en formato BibTeX para ser procesada con ayuda de la interface web “biblioshiny”, correspondiente a la biblioteca especializada “bibliometrix” del lenguaje R (https://doi.org/10.1016/j.joi.2017.08.007). Los archivos restantes son segmentos de la base de datos en formato CSV, los cuales son procesadas con códigos desarrollados sobre lenguaje R, para el análisis estadístico (https://doi.org/10.6084/m9.figshare.19092257).<br>
DOI: 10.6084/m9.figshare.19091687
title: Are Impactful Authors More Important than Experienced Authors

description: Data about the relationship between publishing journal impact and authorship team properties across science. This contrasts first author properties with team properties.
DOI: 10.6084/m9.figshare.19091687.v2
title: Are Impactful Authors More Important than Experienced Authors

description: Data about the relationship between publishing journal impact and authorship team properties across science. This contrasts first author properties with team properties.
DOI: 10.6084/m9.figshare.19091687.v1
title: Are Impactful Authors More Important than Experienced Authors

description: Data about the relationship between publishing journal impact and authorship team properties across science. This contrasts first author properties with team properties.
DOI: 10.6084/m9.figshare.19093295.v1
title: Data File for "Determinants of Voting Behaviour on the Keystone XL Pipeline"

description: Data File for:<br>Joshua Hall and Chris Shultz, “Determinants of Voting on the Keystone XL Pipeline,” Applied Economics Letters 23(7) 2016: 498-500.<br><br>
DOI: 10.6084/m9.figshare.19093295
title: Data File for "Determinants of Voting Behaviour on the Keystone XL Pipeline"

description: Data File for:<br>Joshua Hall and Chris Shultz, “Determinants of Voting on the Keystone XL Pipeline,” Applied Economics Letters 23(7) 2016: 498-500.<br><br>