cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9993953
title: MOESM1 of Fewer ischemic strokes, despite an ageing population: stroke models from observed incidence in Norway 2010–2015

description: Additional file 1: Incidence_predictions.csv. Predictions for strokes and TIA in Norway by type, (I61, I63, I64, G45) year (2010–2040),and age (0–105). The data contains the following columns: Year: Years from 2010 to 2040. Age: Age from 0 to 105. obs_population: observed size of Norwegian population of specified age by year, for 2010–2017. Pred_population: predicted population size for specified age for years 2018–2040. Twelve columns of predictions, identified by the following: DIAGNOSIS_pred_TYPE. DIAGNOSIS includes I61, I63, I64, G45 and “stroke” (any of I61, I63, I64). TYPE indicates as “episodes” (yearly hospitalizations) and “year_unique” (unique individuals afflicted that year). For diagnosis “stroke”, there are additional columns including “with_death”, signifying episodes or year-unique individuals including those dying with no preceding hospitalization. Final 12 columns specify the estimated individual yearly risk of the predicted stroke types.
DOI: 10.6084/m9.figshare.9993959.v1
title: MOESM5 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 5: Table S2. Classification of transcript models using GffCompare. Class codes were assigned to each transcript based on the relationship between this transcript and its closest reference transcript. Table S3. Best hits for unannotated transcripts (class codes: i, y, p, u) from BlastN and the NCBI non-redundant nucleotide collection database (nt). Table S4. Sequence length and expression of unannotated transcripts that have no hit from the nt database.
DOI: 10.6084/m9.figshare.9993965.v1
title: MOESM6 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 6. A revised feature coordinate map (GFF3) including previously annotated transcripts and transcripts identified in this study.
DOI: 10.6084/m9.figshare.9993950
title: MOESM4 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 4. Estimated expression of loci identified in this study.
DOI: 10.6084/m9.figshare.9993938
title: Additional file 5: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S4. A featureCounts matrix of CCLE ovarian cancer cell lines. (XLSX 14556 kb)
DOI: 10.6084/m9.figshare.9993941
title: Additional file 6: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S5. A metadata table describing CCLE ovarian cancer cell lines. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9993950.v1
title: MOESM4 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 4. Estimated expression of loci identified in this study.
DOI: 10.6084/m9.figshare.9993953.v1
title: MOESM1 of Fewer ischemic strokes, despite an ageing population: stroke models from observed incidence in Norway 2010–2015

description: Additional file 1: Incidence_predictions.csv. Predictions for strokes and TIA in Norway by type, (I61, I63, I64, G45) year (2010–2040),and age (0–105). The data contains the following columns: Year: Years from 2010 to 2040. Age: Age from 0 to 105. obs_population: observed size of Norwegian population of specified age by year, for 2010–2017. Pred_population: predicted population size for specified age for years 2018–2040. Twelve columns of predictions, identified by the following: DIAGNOSIS_pred_TYPE. DIAGNOSIS includes I61, I63, I64, G45 and “stroke” (any of I61, I63, I64). TYPE indicates as “episodes” (yearly hospitalizations) and “year_unique” (unique individuals afflicted that year). For diagnosis “stroke”, there are additional columns including “with_death”, signifying episodes or year-unique individuals including those dying with no preceding hospitalization. Final 12 columns specify the estimated individual yearly risk of the predicted stroke types.
DOI: 10.6084/m9.figshare.9993944
title: MOESM3 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 3. Estimated expression of individual transcript models identified in this study in the GDDH13 reference genome. Expression is presented as FPKM (Fragments Per Kilobase of transcript per Million Mapped reads).
DOI: 10.6084/m9.figshare.9993938.v1
title: Additional file 5: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S4. A featureCounts matrix of CCLE ovarian cancer cell lines. (XLSX 14556 kb)
DOI: 10.6084/m9.figshare.9993941.v1
title: Additional file 6: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S5. A metadata table describing CCLE ovarian cancer cell lines. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9993944.v1
title: MOESM3 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 3. Estimated expression of individual transcript models identified in this study in the GDDH13 reference genome. Expression is presented as FPKM (Fragments Per Kilobase of transcript per Million Mapped reads).
DOI: 10.6084/m9.figshare.9993926
title: MOESM2 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 2. Sequence of apple shoot apex transcript models, based on alignment of sequence reads to the GDDH13 reference genome and assembly of aligned reads.
DOI: 10.6084/m9.figshare.9993920
title: MOESM1 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 1: Table S1. Quantity and mapping rates for RNA-seq data generated for each sample.
DOI: 10.6084/m9.figshare.9993917
title: Additional file 2: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S2. A featureCounts matrix of breast and ovarian cancer cell line panel. (XLSX 8428 kb)
DOI: 10.6084/m9.figshare.9993923
title: Additional file 3: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S3. A metadata table describing the samples in breast and ovarian cancer cell line panel to be used for DEA within GENAVi. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9993926.v1
title: MOESM2 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 2. Sequence of apple shoot apex transcript models, based on alignment of sequence reads to the GDDH13 reference genome and assembly of aligned reads.
DOI: 10.6084/m9.figshare.9993920.v1
title: MOESM1 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 1: Table S1. Quantity and mapping rates for RNA-seq data generated for each sample.
DOI: 10.6084/m9.figshare.9993923.v1
title: Additional file 3: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S3. A metadata table describing the samples in breast and ovarian cancer cell line panel to be used for DEA within GENAVi. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9993911
title: Additional file 1: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S1. List of cell lines used to generate RNA-Seq data to provide a resource for breast and ovarian cancer research. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.9993914
title: MOESM16 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 16: Table S11. Taqman primers and probes for genes of interest and internal control gene (ACTIN).
DOI: 10.6084/m9.figshare.9993917.v1
title: Additional file 2: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S2. A featureCounts matrix of breast and ovarian cancer cell line panel. (XLSX 8428 kb)
DOI: 10.6084/m9.figshare.9993911.v1
title: Additional file 1: of GENAVi: a shiny web application for gene expression normalization, analysis and visualization

description: Table S1. List of cell lines used to generate RNA-Seq data to provide a resource for breast and ovarian cancer research. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.9993914.v1
title: MOESM16 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 16: Table S11. Taqman primers and probes for genes of interest and internal control gene (ACTIN).
DOI: 10.6084/m9.figshare.9993893
title: MOESM13 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 13: Table S10. DEGs that potentially encode transcription factors.
DOI: 10.6084/m9.figshare.9993893.v1
title: MOESM13 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 13: Table S10. DEGs that potentially encode transcription factors.
DOI: 10.6084/m9.figshare.9993866
title: MOESM10 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 10: Table S9. DEGs in the enriched plant hormone pathways based on KEGG pathway analysis. Color scales indicate upregulation (red) or downregulation (blue) of DEGs by GA.
DOI: 10.6084/m9.figshare.9993866.v1
title: MOESM10 of Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.)

description: Additional file 10: Table S9. DEGs in the enriched plant hormone pathways based on KEGG pathway analysis. Color scales indicate upregulation (red) or downregulation (blue) of DEGs by GA.
DOI: 10.6084/m9.figshare.9993839
title: MOESM7 of Whole-genome DNA similarity and population structure of Plasmodiophora brassicae strains from Canada

description: Additional file 7. Number of variants per sample.
DOI: 10.6084/m9.figshare.9993839.v1
title: MOESM7 of Whole-genome DNA similarity and population structure of Plasmodiophora brassicae strains from Canada

description: Additional file 7. Number of variants per sample.
DOI: 10.6084/m9.figshare.9993830
title: MOESM6 of Whole-genome DNA similarity and population structure of Plasmodiophora brassicae strains from Canada

description: Additional file 6. Linkage disequilibrium (LD matrix) in 43 strains of Plasmodiophora brassicae.
DOI: 10.6084/m9.figshare.9993830.v1
title: MOESM6 of Whole-genome DNA similarity and population structure of Plasmodiophora brassicae strains from Canada

description: Additional file 6. Linkage disequilibrium (LD matrix) in 43 strains of Plasmodiophora brassicae.
DOI: 10.6084/m9.figshare.9993824
title: MOESM5 of Whole-genome DNA similarity and population structure of Plasmodiophora brassicae strains from Canada

description: Additional file 5. Nucleotide diversity across the genome of 43 strains of Plasmodiophora brassicae.
DOI: 10.6084/m9.figshare.9993824.v1
title: MOESM5 of Whole-genome DNA similarity and population structure of Plasmodiophora brassicae strains from Canada

description: Additional file 5. Nucleotide diversity across the genome of 43 strains of Plasmodiophora brassicae.
DOI: 10.6084/m9.figshare.9993803
title: MOESM4 of Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation

description: Additional file 4. List of differentially expressed genes (DEG) obtained in this study. The gene list [protein sequences of plant origin derived transcriptome (38,384 genes)] along with the description of their GO terms, functional annotations and closest match to plant species are given. The TPM (Transcript Per kilobase Million) values are the mean ± stdev for pooled replicates A and B (n = 2) for each variant of the experiment.
DOI: 10.6084/m9.figshare.9993791
title: MOESM3 of Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation

description: Additional file 3. Summary of selected 30 differentially expressed genes (DEGs) in S. europaea with their molecular function (MF) and biological processes (BP).
DOI: 10.6084/m9.figshare.9993785
title: MOESM2 of Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation

description: Additional file 2. GO terms classification for the total sequences of S. europaea transcriptome. (a) cellular component (7348 GO terms), (b) biological processes (18,448 GO terms) and (c) molecular function (34,429 GO terms).
DOI: 10.6084/m9.figshare.9993791.v1
title: MOESM3 of Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation

description: Additional file 3. Summary of selected 30 differentially expressed genes (DEGs) in S. europaea with their molecular function (MF) and biological processes (BP).
DOI: 10.6084/m9.figshare.9993803.v1
title: MOESM4 of Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation

description: Additional file 4. List of differentially expressed genes (DEG) obtained in this study. The gene list [protein sequences of plant origin derived transcriptome (38,384 genes)] along with the description of their GO terms, functional annotations and closest match to plant species are given. The TPM (Transcript Per kilobase Million) values are the mean ± stdev for pooled replicates A and B (n = 2) for each variant of the experiment.
DOI: 10.6084/m9.figshare.9993785.v1
title: MOESM2 of Transcriptome profiling and environmental linkage to salinity across Salicornia europaea vegetation

description: Additional file 2. GO terms classification for the total sequences of S. europaea transcriptome. (a) cellular component (7348 GO terms), (b) biological processes (18,448 GO terms) and (c) molecular function (34,429 GO terms).
DOI: 10.6084/m9.figshare.9993764
title: MOESM9 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 9: Table S5. NCBI BLASTn results for the two features exhibiting increased relative abundance in mange-infected individuals: a 3f0449c545626dd14b585e9c7b2d16f4 (class Bacilli) and b e3e89166daa575e51d7a14bc65f11153 (class Actinobacteria).
DOI: 10.6084/m9.figshare.9993764.v1
title: MOESM9 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 9: Table S5. NCBI BLASTn results for the two features exhibiting increased relative abundance in mange-infected individuals: a 3f0449c545626dd14b585e9c7b2d16f4 (class Bacilli) and b e3e89166daa575e51d7a14bc65f11153 (class Actinobacteria).
DOI: 10.6084/m9.figshare.9993749
title: MOESM1 of The effect of different grazing conditions on the insulin and incretin response to the oral glucose test in ponies

description: Additional file 1. Raw data file.
DOI: 10.6084/m9.figshare.9993752
title: MOESM7 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 7: Table S4. Relative abundance (mean and standard error) of taxonomic classes in canids grouped by species and infection status. Taxonomic classes include: Bacilli, Actinobacteria, Gammaproteobacteria, Clostridia, Flavobacteriia, Alphaproteobacteria, Fusobacteriia, Bacteroidia, Betaproteobacteria, and other taxa.
DOI: 10.6084/m9.figshare.9993749.v1
title: MOESM1 of The effect of different grazing conditions on the insulin and incretin response to the oral glucose test in ponies

description: Additional file 1. Raw data file.
DOI: 10.6084/m9.figshare.9993752.v1
title: MOESM7 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 7: Table S4. Relative abundance (mean and standard error) of taxonomic classes in canids grouped by species and infection status. Taxonomic classes include: Bacilli, Actinobacteria, Gammaproteobacteria, Clostridia, Flavobacteriia, Alphaproteobacteria, Fusobacteriia, Bacteroidia, Betaproteobacteria, and other taxa.
DOI: 10.6084/m9.figshare.9993731
title: MOESM4 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 4: Table S3. Results from alpha (Kruskalâ Wallis test) and beta (PERMANOVA) diversity significance tests performed on uninfected canids with known sex.
DOI: 10.6084/m9.figshare.9993734
title: MOESM4 of The impact of patient-reported outcome (PRO) data from clinical trials: a systematic review and critical analysis

description: Additional file 4. REF impact case studies
DOI: 10.6084/m9.figshare.9993731.v1
title: MOESM4 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 4: Table S3. Results from alpha (Kruskalâ Wallis test) and beta (PERMANOVA) diversity significance tests performed on uninfected canids with known sex.
DOI: 10.6084/m9.figshare.9993722
title: MOESM3 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 3: Table S2. Results from alpha (Kruskalâ Wallis test) and beta (PERMANOVA) diversity significance tests performed on the composite dataset.
DOI: 10.6084/m9.figshare.9993734.v1
title: MOESM4 of The impact of patient-reported outcome (PRO) data from clinical trials: a systematic review and critical analysis

description: Additional file 4. REF impact case studies
DOI: 10.6084/m9.figshare.9993722.v1
title: MOESM3 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 3: Table S2. Results from alpha (Kruskalâ Wallis test) and beta (PERMANOVA) diversity significance tests performed on the composite dataset.
DOI: 10.6084/m9.figshare.9993710
title: MOESM1 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 1: Table S1. Sample metadata and sequence processing statistics for each stage of the dada2 denoising pipeline implemented in QIIME2 v.2019.4.
DOI: 10.6084/m9.figshare.9993710.v1
title: MOESM1 of Of microbes and mange: consistent changes in the skin microbiome of three canid species infected with Sarcoptes scabiei mites

description: Additional file 1: Table S1. Sample metadata and sequence processing statistics for each stage of the dada2 denoising pipeline implemented in QIIME2 v.2019.4.
DOI: 10.6084/m9.figshare.9993593
title: MOESM8 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 8: Table S8. Differential miRNAs in the A549shG9a cells analyzed by small RNAseq. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.9993590
title: MOESM7 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 7: Table S7. Differential miRNAs in the A549shILF3 cells analyzed by small RNAseq. (XLSX 22 kb)
DOI: 10.6084/m9.figshare.9993593.v1
title: MOESM8 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 8: Table S8. Differential miRNAs in the A549shG9a cells analyzed by small RNAseq. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.9993590.v1
title: MOESM7 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 7: Table S7. Differential miRNAs in the A549shILF3 cells analyzed by small RNAseq. (XLSX 22 kb)
DOI: 10.6084/m9.figshare.9993575
title: MOESM5 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 5: Table S5. Differential genes in the A549shG9a cells analyzed by RNAseq. (XLSX 113 kb)
DOI: 10.6084/m9.figshare.9993584
title: MOESM6 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 6: Table S6. The decreased 309 genes overlapping between BBI608- and YM155-treated A549 cells, and decreased 245 genes overlapping between A549shSTAT3 and A549shG9a cells. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.9993584.v1
title: MOESM6 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 6: Table S6. The decreased 309 genes overlapping between BBI608- and YM155-treated A549 cells, and decreased 245 genes overlapping between A549shSTAT3 and A549shG9a cells. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.9993575.v1
title: MOESM5 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 5: Table S5. Differential genes in the A549shG9a cells analyzed by RNAseq. (XLSX 113 kb)
DOI: 10.6084/m9.figshare.9993569
title: MOESM4 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 4: Table S4. Differential genes in the A549shSTAT3 cells analyzed by RNAseq. (XLSX 109 kb)
DOI: 10.6084/m9.figshare.9993560
title: MOESM2 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 2: Table S2. Differential genes in the BBI608-treated A549 cells analyzed by RNAseq. (XLSX 105 kb)
DOI: 10.6084/m9.figshare.9993563
title: MOESM3 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 3: Table S3. Differential genes in the YM155-treated A549 cells analyzed by RNAseq. (XLSX 160 kb)
DOI: 10.6084/m9.figshare.9993569.v1
title: MOESM4 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 4: Table S4. Differential genes in the A549shSTAT3 cells analyzed by RNAseq. (XLSX 109 kb)
DOI: 10.6084/m9.figshare.9993563.v1
title: MOESM3 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 3: Table S3. Differential genes in the YM155-treated A549 cells analyzed by RNAseq. (XLSX 160 kb)
DOI: 10.6084/m9.figshare.9993548
title: MOESM1 of Widespread nocturnality of living birds stemming from their common ancestor

description: Additional file 1. Species and sequences used in this study.
DOI: 10.6084/m9.figshare.9993560.v1
title: MOESM2 of STAT3 induces G9a to exacerbate HER3 expression for the survival of epidermal growth factor receptor-tyrosine kinase inhibitors in lung cancers

description: Additional file 2: Table S2. Differential genes in the BBI608-treated A549 cells analyzed by RNAseq. (XLSX 105 kb)