cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11345972
title: MOESM4 of The majority of A-to-I RNA editing is not required for mammalian homeostasis

description: Additional file 4: Dataset S3. QuSAGE pathway analysis of gene expression datasets. Samples= 12 week old male whole brain; n=3 per genotype. Related to Fig 2 and Fig S2.
DOI: 10.6084/m9.figshare.11345981.v1
title: MOESM5 of The majority of A-to-I RNA editing is not required for mammalian homeostasis

description: Additional file 5: Dataset S4A. Editing analysis of the known sites. Related to Fig. 3 and Fig. 4.
DOI: 10.6084/m9.figshare.11345969
title: MOESM4 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 4. Gene Ontology Enrichment Analysis in up- and down-regulated genes (DESeq2) within RR vs WR comparison (FDR = = 3).
DOI: 10.6084/m9.figshare.11345978.v1
title: MOESM5 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 5. Common and unique gene ontology terms in up- and down-regulated genes at both veraison and ripening stages.
DOI: 10.6084/m9.figshare.11345966
title: MOESM3 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 3. Gene Ontology Enrichment Analysis in up- and down-regulated genes (DESeq2) within RV vs WV comparison (FDR = = 3).
DOI: 10.6084/m9.figshare.11345969.v1
title: MOESM4 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 4. Gene Ontology Enrichment Analysis in up- and down-regulated genes (DESeq2) within RR vs WR comparison (FDR = = 3).
DOI: 10.6084/m9.figshare.11345972.v1
title: MOESM4 of The majority of A-to-I RNA editing is not required for mammalian homeostasis

description: Additional file 4: Dataset S3. QuSAGE pathway analysis of gene expression datasets. Samples= 12 week old male whole brain; n=3 per genotype. Related to Fig 2 and Fig S2.
DOI: 10.6084/m9.figshare.11345957
title: MOESM2 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 2. Expression values (FPKM) calculated for all grapevine genes (30 K genes) for each biological replicate. FDR values from the DEA are included as separate sheets.
DOI: 10.6084/m9.figshare.11345954
title: MOESM3 of The majority of A-to-I RNA editing is not required for mammalian homeostasis

description: Additional file 3: Dataset S2. RNA-seq data used for differential gene expression analysis. Samples=12 week old male whole brain; n=3 per genotype. Related to Fig 2 and Fig S2.
DOI: 10.6084/m9.figshare.11345966.v1
title: MOESM3 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 3. Gene Ontology Enrichment Analysis in up- and down-regulated genes (DESeq2) within RV vs WV comparison (FDR = = 3).
DOI: 10.6084/m9.figshare.11345957.v1
title: MOESM2 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 2. Expression values (FPKM) calculated for all grapevine genes (30 K genes) for each biological replicate. FDR values from the DEA are included as separate sheets.
DOI: 10.6084/m9.figshare.11345945
title: MOESM11 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 11. FPKM values of the F3’5’H and F3’H gene families in cv. ‘Moscatel Galego’ and cv. ‘Red Globe’ skin color somatic variants. FPKM values were calculated from A) multiple-mapped and B) filtered reads and are displayed for each biological replicate.
DOI: 10.6084/m9.figshare.11345954.v1
title: MOESM3 of The majority of A-to-I RNA editing is not required for mammalian homeostasis

description: Additional file 3: Dataset S2. RNA-seq data used for differential gene expression analysis. Samples=12 week old male whole brain; n=3 per genotype. Related to Fig 2 and Fig S2.
DOI: 10.6084/m9.figshare.11345942
title: MOESM3 of Autism and family involvement in the right to education in the EU: policy mapping in the Netherlands, Belgium and Germany

description: Additional file 3. An overview of the specific policies and impacts of the countries under study. Description: This overview provides a comprehensive version of the results section.
DOI: 10.6084/m9.figshare.11345942.v1
title: MOESM3 of Autism and family involvement in the right to education in the EU: policy mapping in the Netherlands, Belgium and Germany

description: Additional file 3. An overview of the specific policies and impacts of the countries under study. Description: This overview provides a comprehensive version of the results section.
DOI: 10.6084/m9.figshare.11345945.v1
title: MOESM11 of Genetic analysis of a white-to-red berry skin color reversion and its transcriptomic and metabolic consequences in grapevine (Vitis vinifera cv. ‘Moscatel Galego’)

description: Additional file 11. FPKM values of the F3’5’H and F3’H gene families in cv. ‘Moscatel Galego’ and cv. ‘Red Globe’ skin color somatic variants. FPKM values were calculated from A) multiple-mapped and B) filtered reads and are displayed for each biological replicate.
DOI: 10.6084/m9.figshare.11345921
title: MOESM2 of Performance of proximity loggers under controlled field conditions: an assessment from a wildlife ecological and epidemiological perspective

description: Additional file 2. This additional file includes the information recorded during the field experiment regarding intensity of the signal (RSSI) against different external factors.
DOI: 10.6084/m9.figshare.11345921.v1
title: MOESM2 of Performance of proximity loggers under controlled field conditions: an assessment from a wildlife ecological and epidemiological perspective

description: Additional file 2. This additional file includes the information recorded during the field experiment regarding intensity of the signal (RSSI) against different external factors.
DOI: 10.6084/m9.figshare.11345927
title: MOESM3 of Performance of proximity loggers under controlled field conditions: an assessment from a wildlife ecological and epidemiological perspective

description: Additional file 3. Contact success data. This additional file includes the information recorded during the field experiment regarding contact success rate against different external factors.
DOI: 10.6084/m9.figshare.11345927.v1
title: MOESM3 of Performance of proximity loggers under controlled field conditions: an assessment from a wildlife ecological and epidemiological perspective

description: Additional file 3. Contact success data. This additional file includes the information recorded during the field experiment regarding contact success rate against different external factors.
DOI: 10.6084/m9.figshare.11345906
title: MOESM1 of Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)

description: Additional file 1: Table S1. Comparison of Fenland sampling frame and study subpopulation. The Fenland Study 2005 to 2015. Table S2. Univariable analysis of physical activity by socio-demographic factors in women/men. The Fenland Study. Table S3. Multivariable analysis of socio-demographic factors in women/men using allometric scaling of body weight for PAEE, a higher intensity criterion for MVPA, average trunk acceleration and MVPA defined as trunk acceleration above 1 m/s2 (equivalent to walking at 3 METs). The Fenland Study 2005 to 2015.
DOI: 10.6084/m9.figshare.11345906.v1
title: MOESM1 of Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)

description: Additional file 1: Table S1. Comparison of Fenland sampling frame and study subpopulation. The Fenland Study 2005 to 2015. Table S2. Univariable analysis of physical activity by socio-demographic factors in women/men. The Fenland Study. Table S3. Multivariable analysis of socio-demographic factors in women/men using allometric scaling of body weight for PAEE, a higher intensity criterion for MVPA, average trunk acceleration and MVPA defined as trunk acceleration above 1 m/s2 (equivalent to walking at 3 METs). The Fenland Study 2005 to 2015.
DOI: 10.6084/m9.figshare.11345888
title: MOESM1 of Incidence, clinical implications and impact on public health of infections with Shigella spp. and entero-invasive Escherichia coli (EIEC): results of a multicenter cross-sectional study in the Netherlands during 2016â€“2017

description: Additional file 1. Calculation of EIEC multiplier. In this file the calculation of the multipliers for the estimation of the Dutch community incidence for shigellosis and infections with EIEC were depicted, using equations as described by Haagsma et al. 2013.
DOI: 10.6084/m9.figshare.11345888.v1
title: MOESM1 of Incidence, clinical implications and impact on public health of infections with Shigella spp. and entero-invasive Escherichia coli (EIEC): results of a multicenter cross-sectional study in the Netherlands during 2016â€“2017

description: Additional file 1. Calculation of EIEC multiplier. In this file the calculation of the multipliers for the estimation of the Dutch community incidence for shigellosis and infections with EIEC were depicted, using equations as described by Haagsma et al. 2013.
DOI: 10.6084/m9.figshare.11345858
title: MOESM6 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 6: Table S6. SNPs identified in each genome bin populations.
DOI: 10.6084/m9.figshare.11345861
title: MOESM7 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 7: Table S7. Genes covered by SNPs with significant changes of allele frequencies
DOI: 10.6084/m9.figshare.11345861.v1
title: MOESM7 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 7: Table S7. Genes covered by SNPs with significant changes of allele frequencies
DOI: 10.6084/m9.figshare.11345858.v1
title: MOESM6 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 6: Table S6. SNPs identified in each genome bin populations.
DOI: 10.6084/m9.figshare.11345846
title: MOESM4 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 4: Table S4. Genome bins reconstructed from metagenomics-combined assembly.
DOI: 10.6084/m9.figshare.11345849
title: MOESM5 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 5: Table S5. The relative abundance of antibiotic-resistance genes on days 0, 10, and 25.
DOI: 10.6084/m9.figshare.11345837
title: MOESM3 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 3: Table S3. Significantly differentially abundant genera when comparing water samples collected on day 25 and day 0. logFC, log2-transformed fold change; FDR P value
DOI: 10.6084/m9.figshare.11345846.v1
title: MOESM4 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 4: Table S4. Genome bins reconstructed from metagenomics-combined assembly.
DOI: 10.6084/m9.figshare.11345849.v1
title: MOESM5 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 5: Table S5. The relative abundance of antibiotic-resistance genes on days 0, 10, and 25.
DOI: 10.6084/m9.figshare.11345828
title: MOESM2 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 2: Table S2. Significantly differentially abundant genera when comparing water samples collected on day 10 and day 0. logFC, log2-transformed fold change; FDR P value
DOI: 10.6084/m9.figshare.11345837.v1
title: MOESM3 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 3: Table S3. Significantly differentially abundant genera when comparing water samples collected on day 25 and day 0. logFC, log2-transformed fold change; FDR P value
DOI: 10.6084/m9.figshare.11345819
title: MOESM1 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 1: Table S1. Significantly differentially abundant phyla identified in water samples collected after the florfenicol treatment when compared with samples collected before treatment. logFC, log2-transformed fold change; FDR P value
DOI: 10.6084/m9.figshare.11345828.v1
title: MOESM2 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 2: Table S2. Significantly differentially abundant genera when comparing water samples collected on day 10 and day 0. logFC, log2-transformed fold change; FDR P value
DOI: 10.6084/m9.figshare.11345819.v1
title: MOESM1 of Impacts of florfenicol on the microbiota landscape and resistome as revealed by metagenomic analysis

description: Additional file 1: Table S1. Significantly differentially abundant phyla identified in water samples collected after the florfenicol treatment when compared with samples collected before treatment. logFC, log2-transformed fold change; FDR P value
DOI: 10.6084/m9.figshare.11345780
title: MOESM1 of Dosimetric factors associated with long-term patient-reported outcomes after definitive radiotherapy of patients with head and neck cancer

description: Additional file 1: Table S1. Chronological change of QOL scores.
DOI: 10.6084/m9.figshare.11345783
title: MOESM2 of Dosimetric factors associated with long-term patient-reported outcomes after definitive radiotherapy of patients with head and neck cancer

description: Additional file 2: Table S2. Relationships between patient- or treatment-related factors and QOL score deterioration.
DOI: 10.6084/m9.figshare.11345780.v1
title: MOESM1 of Dosimetric factors associated with long-term patient-reported outcomes after definitive radiotherapy of patients with head and neck cancer

description: Additional file 1: Table S1. Chronological change of QOL scores.
DOI: 10.6084/m9.figshare.11345783.v1
title: MOESM2 of Dosimetric factors associated with long-term patient-reported outcomes after definitive radiotherapy of patients with head and neck cancer

description: Additional file 2: Table S2. Relationships between patient- or treatment-related factors and QOL score deterioration.
DOI: 10.6084/m9.figshare.11345765
title: MOESM1 of Employment preferences of obstetricians and gynecologists to work in the district hospitals: evidence from a discrete choice experiment in Nepal

description: Additional file 1: Table S1-Table S3.
DOI: 10.6084/m9.figshare.11345765.v1
title: MOESM1 of Employment preferences of obstetricians and gynecologists to work in the district hospitals: evidence from a discrete choice experiment in Nepal

description: Additional file 1: Table S1-Table S3.
DOI: 10.6084/m9.figshare.11345564
title: MOESM2 of Proteome changes of porcine follicular fluid during follicle development

description: Additional file 2: Table S2. Functional analyses.
DOI: 10.6084/m9.figshare.11345558
title: MOESM1 of Proteome changes of porcine follicular fluid during follicle development

description: Additional file 1: Table S1. Proteome datasets.
DOI: 10.6084/m9.figshare.11345564.v1
title: MOESM2 of Proteome changes of porcine follicular fluid during follicle development

description: Additional file 2: Table S2. Functional analyses.
DOI: 10.6084/m9.figshare.11345558.v1
title: MOESM1 of Proteome changes of porcine follicular fluid during follicle development

description: Additional file 1: Table S1. Proteome datasets.
DOI: 10.6084/m9.figshare.11345504
title: MOESM4 of Transcriptome and microbiome of coconut rhinoceros beetle (Oryctes rhinoceros) larvae

description: Additional file 4: Data S1. Annotations and differential expression statistics for Oryctes rhinoceros tissues. Putative annotations based on Blast2GO of the full transcriptome including UniProt ID, and manual BLAST results of highly or differentially expressed transcripts. All non-insect transcripts are noted in bracketed descriptions. “#N/A” means Blast2GO failed to annotate the transcript. “Unidentifiable” means there were no hits, the results were overly ambiguous, or the hits were only to unidentified hypothetical proteins even after manual BLAST to the NCBI database. Expression values are given in reads per kilobase per million mapped reads. Contigs are differentially expressed in a tissue or pair of tissues if the mean p-value for the difference between the normalized expression values of for all pairs with that tissue or tissue pair is less than 0.1, and significantly differentially expressed (marked with an*) if the mean p value is
DOI: 10.6084/m9.figshare.11345504.v1
title: MOESM4 of Transcriptome and microbiome of coconut rhinoceros beetle (Oryctes rhinoceros) larvae

description: Additional file 4: Data S1. Annotations and differential expression statistics for Oryctes rhinoceros tissues. Putative annotations based on Blast2GO of the full transcriptome including UniProt ID, and manual BLAST results of highly or differentially expressed transcripts. All non-insect transcripts are noted in bracketed descriptions. “#N/A” means Blast2GO failed to annotate the transcript. “Unidentifiable” means there were no hits, the results were overly ambiguous, or the hits were only to unidentified hypothetical proteins even after manual BLAST to the NCBI database. Expression values are given in reads per kilobase per million mapped reads. Contigs are differentially expressed in a tissue or pair of tissues if the mean p-value for the difference between the normalized expression values of for all pairs with that tissue or tissue pair is less than 0.1, and significantly differentially expressed (marked with an*) if the mean p value is
DOI: 10.6084/m9.figshare.11345477
title: MOESM1 of Transcriptome and microbiome of coconut rhinoceros beetle (Oryctes rhinoceros) larvae

description: Additional file 1: Table S1. General fastq and FastQC statistics for the Oryctes rhinoceros RNA-Seq. Data produced by MultiQC v1.5.dev0 [29].
DOI: 10.6084/m9.figshare.11345477.v1
title: MOESM1 of Transcriptome and microbiome of coconut rhinoceros beetle (Oryctes rhinoceros) larvae

description: Additional file 1: Table S1. General fastq and FastQC statistics for the Oryctes rhinoceros RNA-Seq. Data produced by MultiQC v1.5.dev0 [29].
DOI: 10.6084/m9.figshare.11345447
title: MOESM3 of LRScaf: improving draft genomes using long noisy reads

description: Additional file 3. LRScaf (1.1.7). The latest version for LRScaf includes source codes and executable files.
DOI: 10.6084/m9.figshare.11345435
title: MOESM2 of LRScaf: improving draft genomes using long noisy reads

description: Additional file 2: Tables S1-S9. Tables S1–S9 for this study: 1) Table S1. The performances for E. coli and S. cerevisiae based on draft assemblies generated by SOAPdenovo2 and SPAdes using 1, 5, 10, and 20 -fold coverages of PacBio long reads; 2) Table S2. The performances for E. coli and S. cerevisiae based on draft assemblies referred to LINKS on Nanopore long reads; 3) Table S3. The performances of scaffolders tested for H. sapiens using 1, 5, 15, and 35 -fold coverages of Nanopore long reads; 4) Table S4. The performances of all scaffolders tested on different median read lengths (9, 18, and 26 kbp) of 10-fold coverage using PacBio long reads for E. coli; 5) Table S5. The performances of CANU and LRScaf (minimap2) for E. coli on 5, 10, 20, and 30 -fold coverages using Nanopore long reads; 6) Table S6. The performances for scaffolder tested on DISCOVAR, MaSuRCA, Platanus, SOAPDenovo2, and SparseAssembler on A. thaliana, O. sativa, S. pennellii, Z. mays, and H. sapiens; 7) Table S7. The BUSCO measurements for scaffolder tested on DISCOVAR, MaSuRCA, Platanus, SOAPDenovo2, and SparseAssembler on A. thaliana, O. sativa, S. pennellii, Z. mays, and H. sapiens; 8) Table S8. The parameter settings of LRScaf on E. coli, S. cerevisiae, A. thaliana, O. sativa, S. pennellii, Z. mays, and H. sapiens; and 9) Table S9. The performances for DBG2OLC and LRScaf on E. coli and A. thaliana.
DOI: 10.6084/m9.figshare.11345447.v1
title: MOESM3 of LRScaf: improving draft genomes using long noisy reads

description: Additional file 3. LRScaf (1.1.7). The latest version for LRScaf includes source codes and executable files.
DOI: 10.6084/m9.figshare.11345435.v1
title: MOESM2 of LRScaf: improving draft genomes using long noisy reads

description: Additional file 2: Tables S1-S9. Tables S1–S9 for this study: 1) Table S1. The performances for E. coli and S. cerevisiae based on draft assemblies generated by SOAPdenovo2 and SPAdes using 1, 5, 10, and 20 -fold coverages of PacBio long reads; 2) Table S2. The performances for E. coli and S. cerevisiae based on draft assemblies referred to LINKS on Nanopore long reads; 3) Table S3. The performances of scaffolders tested for H. sapiens using 1, 5, 15, and 35 -fold coverages of Nanopore long reads; 4) Table S4. The performances of all scaffolders tested on different median read lengths (9, 18, and 26 kbp) of 10-fold coverage using PacBio long reads for E. coli; 5) Table S5. The performances of CANU and LRScaf (minimap2) for E. coli on 5, 10, 20, and 30 -fold coverages using Nanopore long reads; 6) Table S6. The performances for scaffolder tested on DISCOVAR, MaSuRCA, Platanus, SOAPDenovo2, and SparseAssembler on A. thaliana, O. sativa, S. pennellii, Z. mays, and H. sapiens; 7) Table S7. The BUSCO measurements for scaffolder tested on DISCOVAR, MaSuRCA, Platanus, SOAPDenovo2, and SparseAssembler on A. thaliana, O. sativa, S. pennellii, Z. mays, and H. sapiens; 8) Table S8. The parameter settings of LRScaf on E. coli, S. cerevisiae, A. thaliana, O. sativa, S. pennellii, Z. mays, and H. sapiens; and 9) Table S9. The performances for DBG2OLC and LRScaf on E. coli and A. thaliana.
DOI: 10.6084/m9.figshare.11345024.v1
title: MEQ-30 for "John"

description: Excel spreadsheet<br><b><br></b>
DOI: 10.6084/m9.figshare.11344970
title: Input model for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"

description: Input model for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"
DOI: 10.6084/m9.figshare.11345024.v2
title: MEQ-30 for "John"

description: Excel spreadsheet<br><b><br></b>
DOI: 10.6084/m9.figshare.11344967
title: Numerical data for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"

description: Numerical data for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"
DOI: 10.6084/m9.figshare.11344967.v2
title: Numerical data for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"

description: Numerical data for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"
DOI: 10.6084/m9.figshare.11344970.v2
title: Input model for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"

description: Input model for paper "Isogeometric analysis of thin Reissner-Mindlin shells: locking phenomena and B-bar method"