cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12789240.v1
title: Electronic Supplementary Material from Self-standing zeolite foam monoliths with hierarchical micro–meso–macroporous structures

description: The zeolite monoliths were synthesized by a facile polymer scaffold template assisted hydrothermal method. The selected foam-shaped template of a polyurethane (PU) foam monolith, was used to prepare the self-standing zeolite foam (ZF) monolithic materials. The obtained ZF products can preserve the same size, shape and macroporous network structure of the original PU foam scaffold template, although the zeolite nano-crystallites had been fully substituted for the PU template to form the new skeleton struts and walls. The as-synthesized ZF products demonstrated abundant hierarchical porosity (involving triple micro-, meso- and macropores). Meanwhile, compared with the conventional zeolite powders, the self-standing ZF monolithic materials exhibited greater total pore volume and nearly three times higher mesopore volume, suggesting wider applications as catalysts, catalyst supports and adsorbents in industry.
DOI: 10.6084/m9.figshare.9119243
title: Additional file 1 of Epigenetic alterations are associated with tumor mutation burden in non-small cell lung cancer

description: : Table S1. Clinical characteristics of 89 NSCLCs in this study. Table S2. The post-alignment QC metrics information of WES. The post-alignment QC metrics information of WES including expected depth, the mean target coverage tumor and matched normal controls and the percentage of duplicates read, off targets and not mapped reads, GC content were provided. Table S3. 858 DMR in high TMB group comparing to matched normal controls. Table S4.BA list of the top 3000 MVPs. Table S5. 293 methylation sites that can distinguish between high or low TMB. Table S6. ASs and NOMs for each sample of our cohort. Table S7. ASs and NOMs for each sample of TCGA. Table S8. The 1237 gene list for the GO analysis with location info. Table S9. The gene list with the No. of MVP &gt;â 3 in our cohort and TCGA database for the Venn plot analysis. Table S10. Ninety-nine genes involved in â Neoplastic Processâ of lung within DisGeNET database from 437 gene list. (RAR 1336 kb)
DOI: 10.6084/m9.figshare.9119351.v1
title: Additional file 3: of Genome-wide analysis of the NF-Y gene family in peach (Prunus persica L.)

description: Arabidopsis protein sequence. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.9119243.v1
title: Additional file 1 of Epigenetic alterations are associated with tumor mutation burden in non-small cell lung cancer

description: : Table S1. Clinical characteristics of 89 NSCLCs in this study. Table S2. The post-alignment QC metrics information of WES. The post-alignment QC metrics information of WES including expected depth, the mean target coverage tumor and matched normal controls and the percentage of duplicates read, off targets and not mapped reads, GC content were provided. Table S3. 858 DMR in high TMB group comparing to matched normal controls. Table S4.BA list of the top 3000 MVPs. Table S5. 293 methylation sites that can distinguish between high or low TMB. Table S6. ASs and NOMs for each sample of our cohort. Table S7. ASs and NOMs for each sample of TCGA. Table S8. The 1237 gene list for the GO analysis with location info. Table S9. The gene list with the No. of MVP &gt;â 3 in our cohort and TCGA database for the Venn plot analysis. Table S10. Ninety-nine genes involved in â Neoplastic Processâ of lung within DisGeNET database from 437 gene list. (RAR 1336 kb)
DOI: 10.6084/m9.figshare.14361662.v1
title: Additional file 1 of A high-density genetic map construction and sex-related loci identification in Chinese Giant salamander

description: Additional file 1: Table S1. Original data of each sample for RAD sequencing
DOI: 10.6084/m9.figshare.20652137
title: Additional file 1 of A non-randomized concurrent controlled trial of myofunctional treatment in the mixed dentition children with functional mouth breathing assessed by cephalometric radiographs and study models

description: Additional file 1: Supplementary Table 1. Age distribution data in MB-M,MB-N and NB groups. Supplementary Table 2. Sex distribution data in MB-M,MB-N and NB groups. Supplementary Table 3. ANB(°) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 4. SNA(°) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 5. SNB(°) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 6. SN-GoGn (°) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 7. FH-MP (°) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 8. S-Go /N-Me data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 9. ANS-Me/N-Me data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 10. U1-NA (°)data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 11. U1-NA (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 12. L1-NB (°)data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 13. L1-NB (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 14. Corpus length (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 15. N-Me (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 16. S-Go (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 17. ANS-Me (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 18. Co-Go (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 19. Ramus height (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 20. Overjet (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 21. Overbite (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 22. C-C (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 23. C′- C′(mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 24. M-M (mm) data in MB-M,MB-N and NB groups for T1 and T2. Supplementary Table 25. M’- M’(mm) data in MB-M,MB-N and NB groups for T1 and T2.
DOI: 10.6084/m9.figshare.23273322
title: Additional file 3 of Constructing ferroptosis-related competing endogenous RNA networks and exploring potential biomarkers correlated with immune infiltration cells in asthma using combinative bioinformatics strategy

description: Additional file 3: Table S3. List of miRNAs and mRNAs targeted by MIR222HG.
DOI: 10.6084/m9.figshare.14361668.v1
title: Additional file 3 of A high-density genetic map construction and sex-related loci identification in Chinese Giant salamander

description: Additional file 3: Table S3 Distribution of each SNP on the 30 LGs
DOI: 10.6084/m9.figshare.7547732
title: MOESM6 of Effects of amino acids on the lignocellulose degradation by Aspergillus fumigatus Z5: insights into performance, transcriptional, and proteomic profiles

description: Additional file 6: Dataset S5. Protein and pathway data required for interactive mapping.
DOI: 10.6084/m9.figshare.7547735
title: MOESM7 of Effects of amino acids on the lignocellulose degradation by Aspergillus fumigatus Z5: insights into performance, transcriptional, and proteomic profiles

description: Additional file 7: Dataset S6. KEGG and GO analysis results of the total proteome from A. fumigatus Z5 in different treatments.
DOI: 10.6084/m9.figshare.9119225
title: Additional file 4 of A clinical survey of mosaic single nucleotide variants in disease-causing genes detected by exome sequencing

description: The list of HPO terms of 80 proband phenotypes. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.23273316.v1
title: Additional file 1 of Constructing ferroptosis-related competing endogenous RNA networks and exploring potential biomarkers correlated with immune infiltration cells in asthma using combinative bioinformatics strategy

description: Additional file 1: Table S1. List of ferroptosis-related genes.
DOI: 10.6084/m9.figshare.7546025
title: Additional file 2: of Genome-wide association study reveals novel loci associated with body size and carcass yields in Pekin ducks

description: Table S1 GO analysis of the candidate genes. Table S2 Biological pathways of the candidate genes. Table S3 All SNP information. (XLSX 1050 kb)
DOI: 10.6084/m9.figshare.12789240
title: Electronic Supplementary Material from Self-standing zeolite foam monoliths with hierarchical micro–meso–macroporous structures

description: The zeolite monoliths were synthesized by a facile polymer scaffold template assisted hydrothermal method. The selected foam-shaped template of a polyurethane (PU) foam monolith, was used to prepare the self-standing zeolite foam (ZF) monolithic materials. The obtained ZF products can preserve the same size, shape and macroporous network structure of the original PU foam scaffold template, although the zeolite nano-crystallites had been fully substituted for the PU template to form the new skeleton struts and walls. The as-synthesized ZF products demonstrated abundant hierarchical porosity (involving triple micro-, meso- and macropores). Meanwhile, compared with the conventional zeolite powders, the self-standing ZF monolithic materials exhibited greater total pore volume and nearly three times higher mesopore volume, suggesting wider applications as catalysts, catalyst supports and adsorbents in industry.
DOI: 10.6084/m9.figshare.23273452
title: Additional file 1 of Risk prediction for dermatomyositis-associated hepatocellular carcinoma

description: Additional file 1. Original data of DM.xlsx.
DOI: 10.6084/m9.figshare.23273461
title: Additional file 4 of Risk prediction for dermatomyositis-associated hepatocellular carcinoma

description: Additional file 4. HCC diffGeneExp.xlsx
DOI: 10.6084/m9.figshare.23273455.v1
title: Additional file 2 of Risk prediction for dermatomyositis-associated hepatocellular carcinoma

description: Additional file 2. Original data of HCC.xlsx.
DOI: 10.6084/m9.figshare.7546241
title: Additional file 1: of Transcriptomic profiling reveals molecular regulation of seasonal reproduction in Tibetan highland fish, Gymnocypris przewalskii

description: Table S2. KOG annotation of the G. przewalskii reference transcriptome. (XLSX 599 kb)
DOI: 10.6084/m9.figshare.7546265
title: Additional file 4: of Transcriptomic profiling reveals molecular regulation of seasonal reproduction in Tibetan highland fish, Gymnocypris przewalskii

description: Table S5. DEGs in male brain. (XLSX 169 kb)
DOI: 10.6084/m9.figshare.23273358
title: Additional file 1 of Causality of genetically determined metabolites and metabolic pathways on osteoarthritis: a two-sample mendelian randomization study

description: Additional file 1 Table S1: Information of the instrumental variables an SNPs identified by Mendelian randomization estimates. Table S2: Raw data of the results from IVW analysis between metabolites and 8 osteoarthritis phenotypes. Table S3: The results of MR analysis for 10 causal associations with multiple test correction significance. Table S4: Raw data of the results of sensitivity analysis between all metabolites and osteoarthritis phenotypes. Table S5: Raw data of the results for the metabolic pathway analysis.
DOI: 10.6084/m9.figshare.7546115
title: Additional file 2: of Dual RNA-seq analysis provides new insights into interactions between Norway spruce and necrotrophic pathogen Heterobasidion annosum s.l.

description: Table S2. List of Norway spruce genes showing higher transcript abundance in symptomatic trees. (XLSX 39 kb)
DOI: 10.6084/m9.figshare.23273268.v1
title: Additional file 3 of Effect of miR-149-5p on intramuscular fat deposition in pigs based on metabolomics and transcriptomics

description: Additional file 3.
DOI: 10.6084/m9.figshare.23799723
title: Involving adolescents and young adults (AYA) with an uncertain or poor cancer prognosis as research partners

description: The interest in patient involvement is increasing in health research, however, is not yet well described in adolescents and young adults (AYA) with palliative cancer, such as AYAs with an uncertain and/or poor cancer prognosis (UPCP). This study aimed to document the process of involving AYAs with a UPCP as partners in research including their experiences, the impact, and our lessons learned. AYAs with a UPCP were recruited <i>via</i> healthcare professionals and patients to involve as research partners in the qualitative interview study. To define their role and tasks in each research phase we used the participation matrix. In total six AYAs with a UPCP were involved as research partners and five as co-thinkers. They were involved in initiating topics, developing study design, interviewing, analyzing data, and dissemination of information. Together with the researcher, they co-produced the information letters and interview guides and implemented aftercare and extra support. The research partners ensured that the data was relevant, correctly interpreted and that results were translated to peers and clinical practice. AYAs themselves felt useful, found people who understand their challenges, and were able to create a legacy. The benefits of involving AYAs with a UPCP as research partners cannot be stressed enough, both for the study as well as for the AYAs themselves, but there are challenges. Researchers should anticipate and address those challenges during the planning phase of the study. This article provides practical tips on how to do so.
DOI: 10.6084/m9.figshare.23799723.v1
title: Involving adolescents and young adults (AYA) with an uncertain or poor cancer prognosis as research partners

description: The interest in patient involvement is increasing in health research, however, is not yet well described in adolescents and young adults (AYA) with palliative cancer, such as AYAs with an uncertain and/or poor cancer prognosis (UPCP). This study aimed to document the process of involving AYAs with a UPCP as partners in research including their experiences, the impact, and our lessons learned. AYAs with a UPCP were recruited <i>via</i> healthcare professionals and patients to involve as research partners in the qualitative interview study. To define their role and tasks in each research phase we used the participation matrix. In total six AYAs with a UPCP were involved as research partners and five as co-thinkers. They were involved in initiating topics, developing study design, interviewing, analyzing data, and dissemination of information. Together with the researcher, they co-produced the information letters and interview guides and implemented aftercare and extra support. The research partners ensured that the data was relevant, correctly interpreted and that results were translated to peers and clinical practice. AYAs themselves felt useful, found people who understand their challenges, and were able to create a legacy. The benefits of involving AYAs with a UPCP as research partners cannot be stressed enough, both for the study as well as for the AYAs themselves, but there are challenges. Researchers should anticipate and address those challenges during the planning phase of the study. This article provides practical tips on how to do so.
DOI: 10.5281/zenodo.10654886
title: Genetic and pharmacological reduction of CDK14 mitigates synucleinopathy - all quantitative data - CDD - Rousseaux lab Feb 2024

description: This is the excel file containing all quantative data for the manuscript "Genetic and pharmacological reduction of CDK14 mitigates synucleinopathy" by the Rousseaux lab.
DOI: 10.5281/zenodo.10654887
title: Genetic and pharmacological reduction of CDK14 mitigates synucleinopathy - all quantitative data - CDD - Rousseaux lab Feb 2024

description: This is the excel file containing all quantative data for the manuscript "Genetic and pharmacological reduction of CDK14 mitigates synucleinopathy" by the Rousseaux lab.
DOI: 10.5281/zenodo.10654888
title: Available data for "Generating Concentration Gradients Across Membranes for Molecular Dynamics Simulations of Periodic Systems"
DOI: 10.5281/zenodo.10654889
title: Available data for "Generating Concentration Gradients Across Membranes for Molecular Dynamics Simulations of Periodic Systems"
DOI: 10.6084/m9.figshare.23274688
title: The complete chloroplast genome of <i>Corethrodendron multijugum</i> (Fabaceae: <i>Corethrodendron</i>) and phylogenetic analysis

description: <i>Corethrodendron multijugum</i> (Maxim.) (Fabaceae: <i>Corethrodendron</i>), also known as <i>Hedysarum multijugum</i>, is an important medicinal plant and is widely used in traditional Chinese medicine. To better understand the diversity and phylogeny of <i>C. multijugum</i> and other Fabaceae species, we sequenced and annotated the complete chloroplast genome of <i>C. multijugum</i> using the Illumina HiSeq 2500 platform. This complete genome was 122,994 bp long, and encodes a total of 110 genes, including 76 protein-coding genes (PCGs), 30 transfer RNA genes (tRNAs), and four ribosomal RNA unit genes (rRNAs). The <i>C. multijugum</i> plastid with a G + C content of 34.5% presents a negative AT -skew (–0.002) and a positive GC -skew (0.032). Phylogenetic analysis revealed that <i>C. multijugum</i> is more closely related to <i>Hedysarum petrovii</i>. This study provides genetic resource information for the further study of <i>Corethrodendron</i>.
DOI: 10.6084/m9.figshare.23274688.v1
title: The complete chloroplast genome of <i>Corethrodendron multijugum</i> (Fabaceae: <i>Corethrodendron</i>) and phylogenetic analysis

description: <i>Corethrodendron multijugum</i> (Maxim.) (Fabaceae: <i>Corethrodendron</i>), also known as <i>Hedysarum multijugum</i>, is an important medicinal plant and is widely used in traditional Chinese medicine. To better understand the diversity and phylogeny of <i>C. multijugum</i> and other Fabaceae species, we sequenced and annotated the complete chloroplast genome of <i>C. multijugum</i> using the Illumina HiSeq 2500 platform. This complete genome was 122,994 bp long, and encodes a total of 110 genes, including 76 protein-coding genes (PCGs), 30 transfer RNA genes (tRNAs), and four ribosomal RNA unit genes (rRNAs). The <i>C. multijugum</i> plastid with a G + C content of 34.5% presents a negative AT -skew (–0.002) and a positive GC -skew (0.032). Phylogenetic analysis revealed that <i>C. multijugum</i> is more closely related to <i>Hedysarum petrovii</i>. This study provides genetic resource information for the further study of <i>Corethrodendron</i>.
DOI: 10.6084/m9.figshare.7546241.v1
title: Additional file 1: of Transcriptomic profiling reveals molecular regulation of seasonal reproduction in Tibetan highland fish, Gymnocypris przewalskii

description: Table S2. KOG annotation of the G. przewalskii reference transcriptome. (XLSX 599 kb)
DOI: 10.6084/m9.figshare.19603456
title: Additional file 4 of Factors associated with fetal karyotype in spontaneous abortion: a case-case study

description: Additional file 4: Supplemental Table 2. Details of structural and complicated abnormalities detected in miscarriages.
DOI: 10.6084/m9.figshare.19603453.v1
title: Additional file 3 of Factors associated with fetal karyotype in spontaneous abortion: a case-case study

description: Additional file 3: Supplemental Table 1. Association of fetal chromosomal abnormalities with parental characteristics (data not shown, n = 160).
DOI: 10.6084/m9.figshare.7546244.v1
title: Additional file 2: of Transcriptomic profiling reveals molecular regulation of seasonal reproduction in Tibetan highland fish, Gymnocypris przewalskii

description: Table S3. KEGG annotation of the G. przewalskii reference transcriptome. (XLSX 180 kb)
DOI: 10.6084/m9.figshare.7546268
title: Additional file 5: of Transcriptomic profiling reveals molecular regulation of seasonal reproduction in Tibetan highland fish, Gymnocypris przewalskii

description: Table S6. DEGs in female gonad. (XLSX 275 kb)
DOI: 10.6084/m9.figshare.16460317.v1
title: An investigation of pharmacovigilance and reporting of adverse drug reactions in hospitals: a cross-sectional study in China

description: Pharmacovigilance is a science that plays a significant role in reducing ADRs and helps predict adverse reactions to drugs in community. To safely use drugs in treatment and prevention of disease, adverse drug reaction has been paid more attention. To evaluate the future needs of existing systems, the paper investigated the current state of pharmacovigilance and the reporting of ADR in Chinese hospitals. This cross-sectional, questionnaire-based study involved 10,063 pharmacists, doctors, and nurses from primary, secondary, and tertiary hospitals in all 31 provinces of China. It was commissioned by the National Centre for ADR Monitoring of China and conducted in March 2020. Three areas were assessed: sociodemographic characteristics of participants, awareness of the pharmacovigilance system, and the current state of hospitals’ reporting of ADRs. Chi-square tests were used to calculate P values. Health care professionals had heard the term “pharmacovigilance” previously (89.40%) and knew the reporting object (68.47%), content (65.94%), and range (64.83%) of pharmacovigilance. Most hospitals dispatched responsible professionals (87.64%) and departments (86.25%) to monitor ADR reporting. A total of 58.66% of tertiary medical, 45.25% of secondary, and 38.90% of primary hospitals extracted ADRs from a hospital information system. Moreover, 53.09% of tertiary medical, 38.93% of secondary, and 23.89% of primary hospitals had established a prescription automatic screening system to warn about risks for ADRs. Health care professionals’ reports (99.92%) and patient feedback (77.99%) were included in most hospitals’ ADR reporting. Chinese health care professionals generally have good awareness of pharmacovigilance, and pharmacovigilance is relatively more advanced in China compared to other developing countries.
DOI: 10.6084/m9.figshare.23273319
title: Additional file 2 of Constructing ferroptosis-related competing endogenous RNA networks and exploring potential biomarkers correlated with immune infiltration cells in asthma using combinative bioinformatics strategy

description: Additional file 2: Table S2. List of miRNAs and mRNAs targeted by LUCAT1.
DOI: 10.6084/m9.figshare.9119249.v1
title: Additional file 2 of Epigenetic alterations are associated with tumor mutation burden in non-small cell lung cancer

description: : Figure S1. Cell type composition by sample type. Figure S2. The comparation of DMPs in high TMB or low TMB based on lung cancer type LUAD or LUSC in our cohort. Figure S3. The comparation of DMPs in high TMB or low TMB in TCGA NSCLCs. Figure S4. The correlation of ASs with NOMs in TCGA database. Figure S5. 4 HOX family gene clusterâ s methylation status in our cohort. Figure S6. Heatmap plot of all the 437 genesâ methylation probes in TCGA database. Figure S7. Subgroup analysis of NOMs based on ethnicity (ASIAN, BLACK and WHITE) in TCGA database. Figure S8. The first 20 high frequency mutated genes of ASIAN, BLACK or WHITE population in TCGA database. (RAR 16686 kb)
DOI: 10.6084/m9.figshare.14361812.v1
title: Additional file 2 of Immunological significance of prognostic alternative splicing signature in hepatocellular carcinoma

description: Additional file 2: Table S1. Univariate Cox regression analysis between AS events and survial. Table S2. Formula prognostic signature of HCC. Table S3. The list of splicing factor (SF) genes. Table S4. Results of correlation between AS events and SFs.