cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16986729.v1
title: Additional file 4 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 4. UNIFRAC nmMDS. Filtered sequences were aligned using MAFFT [110], and phylogenetic tree built using FASTTREE [111] using default parameters within the QIIME2 pipeline. The resultant UNIFRAC distance matrix was used in generation of non-metric multidimensional scaling analysis as shown here. Results of PERMANOVA using unrestricted permutations for comparison of samples by sample type (swab;biopsy;environmental) shown in table indicate significant variation by sample type.
DOI: 10.6084/m9.figshare.16986735
title: Additional file 6 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 6. Taxa unique to biopsy sampling datasets. Uniquely identified ASV’s from biopsy sampling, including taxonomic assignation from SILVA database.
DOI: 10.6084/m9.figshare.16986738.v1
title: Additional file 7 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 7. Taxa unique to swabbing sampling datasets. Uniquely identified ASV’s from swab sampling, including taxonomic assignation from SILVA database.
DOI: 10.6084/m9.figshare.16986735.v1
title: Additional file 6 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 6. Taxa unique to biopsy sampling datasets. Uniquely identified ASV’s from biopsy sampling, including taxonomic assignation from SILVA database.
DOI: 10.6084/m9.figshare.16986738
title: Additional file 7 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 7. Taxa unique to swabbing sampling datasets. Uniquely identified ASV’s from swab sampling, including taxonomic assignation from SILVA database.
DOI: 10.6084/m9.figshare.16986741
title: Additional file 8 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 8. Taxa identified using both sampling methodologies. Shared ASV’s identified from both biopsy and swab sampling datasets, including taxonomic assignation from SILVA database.
DOI: 10.6084/m9.figshare.16986741.v1
title: Additional file 8 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 8. Taxa identified using both sampling methodologies. Shared ASV’s identified from both biopsy and swab sampling datasets, including taxonomic assignation from SILVA database.
DOI: 10.6084/m9.figshare.16986744
title: Additional file 9 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 9. Summary table shared and unique taxa including environmental water data. Unique and shared ASV’s across entire dataset as accompaniment to Additional file 5.
DOI: 10.6084/m9.figshare.16986744.v1
title: Additional file 9 of Sampling the fish gill microbiome: a comparison of tissue biopsies and swabs

description: Additional file 9. Summary table shared and unique taxa including environmental water data. Unique and shared ASV’s across entire dataset as accompaniment to Additional file 5.
DOI: 10.6084/m9.figshare.16986745.v1
title: Additional file 1 of Identification of genomic regions affecting grain peroxidase activity in bread wheat using genome-wide association study

description: Additional file 1 : Table S1. The POD activity (U·min− 1·g− 1) in 207 wheat accessions of each environment and BLUP. Table S2. Analysis of variance (ANOVA) and broad-sense heritability for POD activity based on three environments. Table S3. Marker-trait associations for POD activity in the associated population analyzed by the mixed linear model (MLM). Table S4. Number of superior alleles across 20 significantly associated SNPs in the genome of 207 wheat varieties. Table S5. Primers designed based on KASP markers AX-109420494 and AX-111134186. Table S6. The relationship between superior and inferior alleles of KASP markers to POD activity. Table S7. The expression values of high-confidence POD genes within 10 Mb physical intervals from the significant SNPs. Table S8. The expression of TraesCS2D02G583000 between the varieties in association population based on the genotypes AX-94769224 and AX-110482619. Table S9. The significant SNPs of GWAS analysis conducted by the expression levels of TraesCS2D02G583000. Table S10. The false discovery rate of the 20 significant SNPs.
DOI: 10.6084/m9.figshare.16986745
title: Additional file 1 of Identification of genomic regions affecting grain peroxidase activity in bread wheat using genome-wide association study

description: Additional file 1 : Table S1. The POD activity (U·min− 1·g− 1) in 207 wheat accessions of each environment and BLUP. Table S2. Analysis of variance (ANOVA) and broad-sense heritability for POD activity based on three environments. Table S3. Marker-trait associations for POD activity in the associated population analyzed by the mixed linear model (MLM). Table S4. Number of superior alleles across 20 significantly associated SNPs in the genome of 207 wheat varieties. Table S5. Primers designed based on KASP markers AX-109420494 and AX-111134186. Table S6. The relationship between superior and inferior alleles of KASP markers to POD activity. Table S7. The expression values of high-confidence POD genes within 10 Mb physical intervals from the significant SNPs. Table S8. The expression of TraesCS2D02G583000 between the varieties in association population based on the genotypes AX-94769224 and AX-110482619. Table S9. The significant SNPs of GWAS analysis conducted by the expression levels of TraesCS2D02G583000. Table S10. The false discovery rate of the 20 significant SNPs.
DOI: 10.6084/m9.figshare.16986781
title: Additional file 2 of Annotation of pituitary neuroendocrine tumors with genome-wide expression analysis

description: Additional file 2. Supplementary tables 1-10 (S1-10). Table S1: Background PitNET cohort; Table S2: Antibodies used for IHC; Table S3: Expression levels (TPM) of all genes in all cases; Table S4: Expression levels of pituitary transcription factors and hormones accross all cases; Table S5: Differentially expressed genes between non-functioning (NF-PitNETs) and functioning PitNETs (F-PitNETs); Table S6: Genes with significant correlation to pituitary transcription factors and hormones; Table S7: Differentially expressed genes between TF classes of PitNETs; Table S8: Expression levels in TF classes of the 50 genes with highest expression levels in PitNETs; Table S9: Significantly correlated genes with tumor size; Table S10: Differentially expressed genes related to gender or invasiveness.
DOI: 10.6084/m9.figshare.16986781.v1
title: Additional file 2 of Annotation of pituitary neuroendocrine tumors with genome-wide expression analysis

description: Additional file 2. Supplementary tables 1-10 (S1-10). Table S1: Background PitNET cohort; Table S2: Antibodies used for IHC; Table S3: Expression levels (TPM) of all genes in all cases; Table S4: Expression levels of pituitary transcription factors and hormones accross all cases; Table S5: Differentially expressed genes between non-functioning (NF-PitNETs) and functioning PitNETs (F-PitNETs); Table S6: Genes with significant correlation to pituitary transcription factors and hormones; Table S7: Differentially expressed genes between TF classes of PitNETs; Table S8: Expression levels in TF classes of the 50 genes with highest expression levels in PitNETs; Table S9: Significantly correlated genes with tumor size; Table S10: Differentially expressed genes related to gender or invasiveness.
DOI: 10.6084/m9.figshare.15128382
title: Additional file 1 of Establishment and characterization of patient-derived head and neck cancer models from surgical specimens and endoscopic biopsies

description: Additional file 1: Supplementary Table 1. Patient characteristics and clinical information
DOI: 10.6084/m9.figshare.15128382.v1
title: Additional file 1 of Establishment and characterization of patient-derived head and neck cancer models from surgical specimens and endoscopic biopsies

description: Additional file 1: Supplementary Table 1. Patient characteristics and clinical information
DOI: 10.6084/m9.figshare.16986804
title: Additional file 1 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 1. File extension .xlsx. Characteristics of study participants. A table showing the characteristics of this study’s participants for the first and second surveys separately
DOI: 10.6084/m9.figshare.16986804.v1
title: Additional file 1 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 1. File extension .xlsx. Characteristics of study participants. A table showing the characteristics of this study’s participants for the first and second surveys separately
DOI: 10.6084/m9.figshare.16986807.v1
title: Additional file 2 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 2 File extension .xlsx. Factor structure of the health literacy behavior and skills scale for preconception care (First survey n = 1000). A table showing the various factors and items of this scale, following factor extraction
DOI: 10.6084/m9.figshare.16986807
title: Additional file 2 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 2 File extension .xlsx. Factor structure of the health literacy behavior and skills scale for preconception care (First survey n = 1000). A table showing the various factors and items of this scale, following factor extraction
DOI: 10.6084/m9.figshare.16986810
title: Additional file 3 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 3. File extension .xlsx. Factor structure of the health literacy behavior and skills scale for preconception care (Second survey n = 1000). A table showing the factors and items of this scale, following factor extraction
DOI: 10.6084/m9.figshare.16986810.v1
title: Additional file 3 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 3. File extension .xlsx. Factor structure of the health literacy behavior and skills scale for preconception care (Second survey n = 1000). A table showing the factors and items of this scale, following factor extraction
DOI: 10.6084/m9.figshare.16986813
title: Additional file 4 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 4. File extension .xlsx. Knowledge scale items. A table listing the items of the knowledge scale for preconception care developed by this study
DOI: 10.6084/m9.figshare.16986813.v1
title: Additional file 4 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 4. File extension .xlsx. Knowledge scale items. A table listing the items of the knowledge scale for preconception care developed by this study
DOI: 10.6084/m9.figshare.16986816
title: Additional file 5 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 5 File extension .xlsx. Analytical results for the Cardiff Fertility Knowledge Scale based on item reaction theory (total n = 2000). A table showing the results of responses to this scale, based on the correct and incorrect responses by male versus female participants
DOI: 10.6084/m9.figshare.16986816.v1
title: Additional file 5 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 5 File extension .xlsx. Analytical results for the Cardiff Fertility Knowledge Scale based on item reaction theory (total n = 2000). A table showing the results of responses to this scale, based on the correct and incorrect responses by male versus female participants
DOI: 10.6084/m9.figshare.16986819
title: Additional file 6 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 6. File extension .xlsx. ANOVA results for sex and history of pregnancy and childbirth related differences in health literacy behavior and skills scale for preconception care. A table showing the results of the ANOVA based on these variables
DOI: 10.6084/m9.figshare.16986819.v1
title: Additional file 6 of Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

description: Additional file 6. File extension .xlsx. ANOVA results for sex and history of pregnancy and childbirth related differences in health literacy behavior and skills scale for preconception care. A table showing the results of the ANOVA based on these variables
DOI: 10.6084/m9.figshare.12940681
title: Additional file 1 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 1: Table S1. Primers used for real-time quantitative reverse transcription PCR (qRT-PCR)
DOI: 10.6084/m9.figshare.12940681.v1
title: Additional file 1 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 1: Table S1. Primers used for real-time quantitative reverse transcription PCR (qRT-PCR)
DOI: 10.6084/m9.figshare.12940684
title: Additional file 2 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 2: Table S2. Mapping results for RNA-seq reads from dH2O-treated or F. fujikuroi-inoculated Zerawchanica karatals (ZK) and Tainung 67 (TNG67)
DOI: 10.6084/m9.figshare.12940684.v1
title: Additional file 2 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 2: Table S2. Mapping results for RNA-seq reads from dH2O-treated or F. fujikuroi-inoculated Zerawchanica karatals (ZK) and Tainung 67 (TNG67)
DOI: 10.6084/m9.figshare.12940687.v1
title: Additional file 3 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 3: Table S3. Expression levels and functional annotations for all Zerawchanica karatals (ZK) and Tainung 67 (TNG67) transcripts
DOI: 10.6084/m9.figshare.16986844
title: Additional file 1 of Proteasome inhibitors restore the STAT1 pathway and enhance the expression of MHC class I on human colon cancer cells

description: Additional file 1: Raw data of the PerkinElmer Opal multiplex analysis from 60 samples. The analysis was summarized in Table 1.
DOI: 10.6084/m9.figshare.12940687
title: Additional file 3 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 3: Table S3. Expression levels and functional annotations for all Zerawchanica karatals (ZK) and Tainung 67 (TNG67) transcripts
DOI: 10.6084/m9.figshare.12940690.v1
title: Additional file 4 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 4: Table S4. List of differentially expressed genes (DEGs) in Zerawchanica karatals (ZK) and Tainung 67 (TNG67)
DOI: 10.6084/m9.figshare.12940696
title: Additional file 6 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 6: Table S6. Expression profiling of 14 selected genes by RNA-seq and real-time quantitative RT-PCR (qRT-PCR)
DOI: 10.6084/m9.figshare.12940690
title: Additional file 4 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 4: Table S4. List of differentially expressed genes (DEGs) in Zerawchanica karatals (ZK) and Tainung 67 (TNG67)
DOI: 10.6084/m9.figshare.12940693
title: Additional file 5 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 5: Table S5. List of genes involved in jasmonic acid, ethylene, salicylic acid and gibberellic acid biosynthesis or signaling pathways
DOI: 10.6084/m9.figshare.12940693.v1
title: Additional file 5 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 5: Table S5. List of genes involved in jasmonic acid, ethylene, salicylic acid and gibberellic acid biosynthesis or signaling pathways
DOI: 10.6084/m9.figshare.12940696.v1
title: Additional file 6 of Transcriptome Analysis of Early Defenses in Rice against Fusarium fujikuroi

description: Additional file 6: Table S6. Expression profiling of 14 selected genes by RNA-seq and real-time quantitative RT-PCR (qRT-PCR)
DOI: 10.6084/m9.figshare.16986844.v1
title: Additional file 1 of Proteasome inhibitors restore the STAT1 pathway and enhance the expression of MHC class I on human colon cancer cells

description: Additional file 1: Raw data of the PerkinElmer Opal multiplex analysis from 60 samples. The analysis was summarized in Table 1.
DOI: 10.6084/m9.figshare.16986859
title: Additional file 1 of Proteins associated with incident metabolic syndrome in population-based cohorts

description: Additional file 1: Table S1. Relationships between the 86 evaluated proteins and the five components of the metabolic syndrome (MetS) in the cross-sectional evaluation in PIVUS. Odds ratio (OR) and 95% CI are geiven together with -pvalue for each ot the five components. GLU = glucose, BP = blood pressure, HDL = HDL-cholesterol, TG = triglycerides, WC = waist circumference. A p-value of 0 denotes a p-value
DOI: 10.6084/m9.figshare.16986859.v1
title: Additional file 1 of Proteins associated with incident metabolic syndrome in population-based cohorts

description: Additional file 1: Table S1. Relationships between the 86 evaluated proteins and the five components of the metabolic syndrome (MetS) in the cross-sectional evaluation in PIVUS. Odds ratio (OR) and 95% CI are geiven together with -pvalue for each ot the five components. GLU = glucose, BP = blood pressure, HDL = HDL-cholesterol, TG = triglycerides, WC = waist circumference. A p-value of 0 denotes a p-value
DOI: 10.6084/m9.figshare.16986888
title: Additional file 10 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 10: Table S9. This compressed csv file contains presence absence pattern of all genes in the pan-genome across all E.coli species included in this paper.
DOI: 10.6084/m9.figshare.16986888.v1
title: Additional file 10 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 10: Table S9. This compressed csv file contains presence absence pattern of all genes in the pan-genome across all E.coli species included in this paper.
DOI: 10.6084/m9.figshare.16986891
title: Additional file 11 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 11: File S10. FASTA file for representing gene of all pan-genome.
DOI: 10.6084/m9.figshare.16986891.v1
title: Additional file 11 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 11: File S10. FASTA file for representing gene of all pan-genome.
DOI: 10.6084/m9.figshare.16986900
title: Additional file 2 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 2: Table S1. Genome ID and statistics for Escherichia coli genome downloaded from PATRIC on February 2021.
DOI: 10.6084/m9.figshare.16986900.v1
title: Additional file 2 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 2: Table S1. Genome ID and statistics for Escherichia coli genome downloaded from PATRIC on February 2021.
DOI: 10.6084/m9.figshare.16986903
title: Additional file 3 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 3: Table S2. This compressed csv file contains gene cluster annotation of the pan-genome.
DOI: 10.6084/m9.figshare.16986903.v1
title: Additional file 3 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 3: Table S2. This compressed csv file contains gene cluster annotation of the pan-genome.
DOI: 10.6084/m9.figshare.16986906
title: Additional file 4 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 4: Table S3. Scoary-detected resistant gene annotation statistics.
DOI: 10.6084/m9.figshare.16986906.v1
title: Additional file 4 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 4: Table S3. Scoary-detected resistant gene annotation statistics.
DOI: 10.6084/m9.figshare.16986912
title: Additional file 6 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 6: Table S5. Resistant gene subnetwork scores. Node annotations are in Table S6.
DOI: 10.6084/m9.figshare.16986909
title: Additional file 5 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 5: Table S4. GO enrichment results for all Scoary-detected resistant genes.
DOI: 10.6084/m9.figshare.16986912.v1
title: Additional file 6 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 6: Table S5. Resistant gene subnetwork scores. Node annotations are in Table S6.
DOI: 10.6084/m9.figshare.16986915.v1
title: Additional file 7 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 7: Table S6. This compressed csv file contains all resistant gene annotation.
DOI: 10.6084/m9.figshare.16986909.v1
title: Additional file 5 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 5: Table S4. GO enrichment results for all Scoary-detected resistant genes.
DOI: 10.6084/m9.figshare.16986915
title: Additional file 7 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 7: Table S6. This compressed csv file contains all resistant gene annotation.
DOI: 10.6084/m9.figshare.16986918.v1
title: Additional file 8 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 8: Table S7. Term enrichment result for the pan-resistome ontology.
DOI: 10.6084/m9.figshare.16986921
title: Additional file 9 of PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains

description: Additional file 9: Table S8. Pan-genome GO term consistency under different amino acid cutoff.