cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26990578.v1
title: Additional file 13 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 13: Supplementary File 11. SubmiRine (Maxwell et al., 2015) results predicting differences in miRNA binding between unedited and edited transcripts. While no editing was found to alter miRNA binding in the MCMV or hiNPC ZIKV datasets, editing sites with potential links to changes in miRNA targeting were detected in 2 genes for the mouse ZIKV PRJNA487357 dataset and 26 genes for the mouse ZIKV PRJNA358758 dataset.
DOI: 10.6084/m9.figshare.26990581
title: Additional file 14 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 14: Supplementary File 12. Number of (and percent of unmapped) reads that were mapped to the respective viral genomes. Briefly, unmapped reads were collected from the BAM files and mapped to the viral genomes of MCMV and ZIKV using STAR. The following reference genomes were used: NC_075725 (MCMV), KX520666 (ZIKV1), KU866423 (ZIKV2), and KX197192 and MH158236* for human ZIKV dataset, respectively. As expected, the viral reads were found primarily in the infected samples, although their numbers represented only relatively small portions of all sequenced reads. A handful of viral reads were also detected in some uninfected samples, consistent with previously reported results (Lima et al. 2019, Fig. 4C) and the possibility of artifacts of mapping and/or negligible contamination. * MH158236 is a complete genome of JN860885 (FSS13025) ZIKV isolate.
DOI: 10.6084/m9.figshare.26990581.v1
title: Additional file 14 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 14: Supplementary File 12. Number of (and percent of unmapped) reads that were mapped to the respective viral genomes. Briefly, unmapped reads were collected from the BAM files and mapped to the viral genomes of MCMV and ZIKV using STAR. The following reference genomes were used: NC_075725 (MCMV), KX520666 (ZIKV1), KU866423 (ZIKV2), and KX197192 and MH158236* for human ZIKV dataset, respectively. As expected, the viral reads were found primarily in the infected samples, although their numbers represented only relatively small portions of all sequenced reads. A handful of viral reads were also detected in some uninfected samples, consistent with previously reported results (Lima et al. 2019, Fig. 4C) and the possibility of artifacts of mapping and/or negligible contamination. * MH158236 is a complete genome of JN860885 (FSS13025) ZIKV isolate.
DOI: 10.6084/m9.figshare.26990560
title: Additional file 7 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 7: Supplementary File 5. (A) Characteristics of 149 editing sites from MCMV and control samples. List of ADAR edited sites (identified via chromosome (CHR) and position (POS)) and individual nucleotide counts from MCMV infections and control samples (PRJEB38849). (B) Characteristics of 21 significantly different editing sites between MCMV and control samples. List of ADAR edited sites (identified via chromosome (CHR) and position (POS)) and average editing rates from MCMV.
DOI: 10.6084/m9.figshare.26990563
title: Additional file 8 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 8: Supplementary File 6. Reactome pathway analysis of edited genes from infected and control samples. In bold are pathways overrepresented among editing targets with FDR &lt; 0.1. (A) Sheet 6A shows overrepresented pathways among edited targets from MCMV and control samples (PRJEB38849). (B) Sheet 6B shows overrepresented pathways among edited targets from ZIKV and control samples (PRJNA487357). (C) Sheet 6C shows pathways among edited targets from ZIKV and control samples (PRJNA358758); there were no pathways overrepresented among editing targets with FDR &lt; 0.1.
DOI: 10.57745/uiftaw/cqaneb
title: traitement_data_orleans_v2022-07-12.docx

description: :unav
DOI: 10.57745/uiftaw/vfzrwb
title: dispositif_expérimental_Orleans-2014_v2022-07-12.docx

description: :unav
DOI: 10.6084/m9.figshare.26990560.v1
title: Additional file 7 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 7: Supplementary File 5. (A) Characteristics of 149 editing sites from MCMV and control samples. List of ADAR edited sites (identified via chromosome (CHR) and position (POS)) and individual nucleotide counts from MCMV infections and control samples (PRJEB38849). (B) Characteristics of 21 significantly different editing sites between MCMV and control samples. List of ADAR edited sites (identified via chromosome (CHR) and position (POS)) and average editing rates from MCMV.
DOI: 10.6084/m9.figshare.26990563.v1
title: Additional file 8 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 8: Supplementary File 6. Reactome pathway analysis of edited genes from infected and control samples. In bold are pathways overrepresented among editing targets with FDR &lt; 0.1. (A) Sheet 6A shows overrepresented pathways among edited targets from MCMV and control samples (PRJEB38849). (B) Sheet 6B shows overrepresented pathways among edited targets from ZIKV and control samples (PRJNA487357). (C) Sheet 6C shows pathways among edited targets from ZIKV and control samples (PRJNA358758); there were no pathways overrepresented among editing targets with FDR &lt; 0.1.
DOI: 10.57745/uiftaw/0yombk
title: arborescence_proxidetection_meleze_Orleans.docx

description: :unav
DOI: 10.57745/uiftaw/j8v7hc
title: chaine_traitement_Orleans_v2022-07-12.pdf

description: :unav
DOI: 10.57745/uiftaw/jdncps
title: proxi-detection_meleze_Orleans.zip

description: :unav
DOI: 10.57745/uiftaw/o6olik
title: maintenance_Orleans_2014-2022_v2022-07-12.docx

description: :unav
DOI: 10.57745/uiftaw/omg6w4
title: principe_chaine_traitement_data-pheno_Orleans_v2022-07-12.pptx

description: :unav
DOI: 10.6084/m9.figshare.26990566
title: Additional file 9 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 9: Supplementary File 7. (A) Characteristics of 78 editing sites from ZIKV and control samples (PRJNA487357). List of ADAR edited sites (identified via chromosome (CHR) and position (POS)) and individual nucleotide counts from ZIKV infections and control samples. (B) Characteristics of 12 significantly different editing sites between ZIKV and control samples. List of ADAR edited sites (identified via chromosome (CHR) and position (POS)), and average editing rates from ZIKV infections and control samples (PRJNA487357).
DOI: 10.6084/m9.figshare.26990566.v1
title: Additional file 9 of Changes in ADAR RNA editing patterns in CMV and ZIKV congenital infections

description: Additional file 9: Supplementary File 7. (A) Characteristics of 78 editing sites from ZIKV and control samples (PRJNA487357). List of ADAR edited sites (identified via chromosome (CHR) and position (POS)) and individual nucleotide counts from ZIKV infections and control samples. (B) Characteristics of 12 significantly different editing sites between ZIKV and control samples. List of ADAR edited sites (identified via chromosome (CHR) and position (POS)), and average editing rates from ZIKV infections and control samples (PRJNA487357).
DOI: 10.6084/m9.figshare.26990599.v1
title: Additional file 3 of Assessing the barriers and enablers to the implementation of the diagnostic radiographer musculoskeletal X-ray reporting service within the NHS in England: a systematic literature review

description: Additional file 3. Raw Data.
DOI: 10.6084/m9.figshare.26990599
title: Additional file 3 of Assessing the barriers and enablers to the implementation of the diagnostic radiographer musculoskeletal X-ray reporting service within the NHS in England: a systematic literature review

description: Additional file 3. Raw Data.
DOI: 10.6084/m9.figshare.26990626
title: Additional file 2 of Cytokine enrichment in deep cerebellar nuclei is contributed by multiple glial populations and linked to reduced amyloid plaque pathology

description: Additional file 2: Statistical tables for Figures 1, 3, 6, 7, S7, S14 and S15.
DOI: 10.14473/csda/6woj5g/ahjrny
title: Nesstar_NS_0404_DataFile.tab

description: Data
DOI: 10.14473/csda/6woj5g/txws2x
title: K_V0404.pdf

description: Karty
DOI: 10.14473/csda/6woj5g/uu4pez
title: TI_V0404.pdf

description: Technická informace
DOI: 10.6084/m9.figshare.26990626.v1
title: Additional file 2 of Cytokine enrichment in deep cerebellar nuclei is contributed by multiple glial populations and linked to reduced amyloid plaque pathology

description: Additional file 2: Statistical tables for Figures 1, 3, 6, 7, S7, S14 and S15.
DOI: 10.14473/csda/6woj5g/atulyk
title: PR02_V0404.pdf

description: Sňatek - podmínka pro umělé oplodnění? Tisková zpráva CVVM.
DOI: 10.14473/csda/6woj5g/jsscsz
title: D_V0404.pdf

description: Dotazník
DOI: 10.14473/csda/6woj5g/oeqmcz
title: PR03_V0404.pdf

description: Představy o ideálním věku a při zakládání rodiny a o počtu dětí v rodině. Tisková zpráva CVVM.
DOI: 10.14473/csda/6woj5g/pncy1r
title: OM_V0404.pdf

description: Ostatní materiály
DOI: 10.14473/csda/6woj5g/vfgspv
title: PR07_V0404.pdf

description: Stranické preference v dubnu 2004. Tisková zpráva CVVM.
DOI: 10.6084/m9.figshare.26990629
title: Additional file 3 of Cytokine enrichment in deep cerebellar nuclei is contributed by multiple glial populations and linked to reduced amyloid plaque pathology

description: Additional file 3: Supplementary Data for snRNAseq and RNAseq experiments.
DOI: 10.6084/m9.figshare.26990629.v1
title: Additional file 3 of Cytokine enrichment in deep cerebellar nuclei is contributed by multiple glial populations and linked to reduced amyloid plaque pathology

description: Additional file 3: Supplementary Data for snRNAseq and RNAseq experiments.
DOI: 10.14473/csda/6woj5g
title: Naše společnost 2004 - duben

description: Kontinuální měsíční výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci pravidelného měsíčního výzkumného projektu. Jsou při něm zjišťovány postoje a názory občanů. Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR v rámci výzkumu. "Naše společnost 2004". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/6woj5g/bu0e1q
title: PR06_V0404.pdf

description: Spokojenost s politickou situací. Tisková zpráva CVVM.
DOI: 10.14473/csda/6woj5g/nr1fv8
title: PR05_V0404.pdf

description: Levo-pravá orientace obyvatel ČR. Tisková zpráva CVVM.
DOI: 10.14473/csda/6woj5g/tzwvyx
title: PR01_V0404.pdf

description: Hodnocení životní úrovně. Tisková zpráva CVVM.
DOI: 10.14473/csda/6woj5g/y2ygtq
title: PR04_V0404.pdf

description: Důvěra k ústavním institucím. Tisková zpráva CVVM.
DOI: 10.14473/csda/6woj5g/y8chn0
title: PR08_V0404.pdf

description: Přínos zemí visegrádské čtyřky Evropě. Tisková zpráva CVVM.
DOI: 10.6084/m9.figshare.26990635
title: Additional file 2 of Loss of p53-DREAM-mediated repression of cell cycle genes as a driver of lymph node metastasis in head and neck cancer

description: Additional file 2: Table S1. Details of all curated head and neck cancer gene expression studies. Table S2. HNC patients within the Stanford bulk RNA-Seq dataset (Bulk RNA-sequencing of flow sorted-cells). Table S3. Antibodies used for flow cytometry. Table S4. Survival and LNM-associated genes. Table S5. Genes associated with cancer grade based on a meta-analysis. Table S6. Top 10 gene sets that most significantly overlapped with each prognostic gene signature.
DOI: 10.6084/m9.figshare.26990635.v1
title: Additional file 2 of Loss of p53-DREAM-mediated repression of cell cycle genes as a driver of lymph node metastasis in head and neck cancer

description: Additional file 2: Table S1. Details of all curated head and neck cancer gene expression studies. Table S2. HNC patients within the Stanford bulk RNA-Seq dataset (Bulk RNA-sequencing of flow sorted-cells). Table S3. Antibodies used for flow cytometry. Table S4. Survival and LNM-associated genes. Table S5. Genes associated with cancer grade based on a meta-analysis. Table S6. Top 10 gene sets that most significantly overlapped with each prognostic gene signature.
DOI: 10.6084/m9.figshare.26990644
title: Additional file 1 of Nitrogen and phosphorus stress as a tool to induce lipid production in microalgae

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26990644.v1
title: Additional file 1 of Nitrogen and phosphorus stress as a tool to induce lipid production in microalgae

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26990650
title: Additional file 2 of Microbial tapestry of the Shulgan-Tash cave (Southern Ural, Russia): influences of environmental factors on the taxonomic composition of the cave biofilms

description: Additional file 2 Characteristics of the biofilm morphotypes
DOI: 10.6084/m9.figshare.26990650.v1
title: Additional file 2 of Microbial tapestry of the Shulgan-Tash cave (Southern Ural, Russia): influences of environmental factors on the taxonomic composition of the cave biofilms

description: Additional file 2 Characteristics of the biofilm morphotypes
DOI: 10.6084/m9.figshare.26990653
title: Additional file 3 of Microbial tapestry of the Shulgan-Tash cave (Southern Ural, Russia): influences of environmental factors on the taxonomic composition of the cave biofilms

description: Additional file 3 Predicted pathway abundance
DOI: 10.6084/m9.figshare.26990653.v1
title: Additional file 3 of Microbial tapestry of the Shulgan-Tash cave (Southern Ural, Russia): influences of environmental factors on the taxonomic composition of the cave biofilms

description: Additional file 3 Predicted pathway abundance
DOI: 10.6084/m9.figshare.26990656
title: Additional file 1 of Correlation between refractive errors and ocular biometric parameters in children and adolescents: a systematic review and meta-analysis

description: Supplementary Material 1: Table S1. Summary of subgroup analysis of refractive error.
DOI: 10.6084/m9.figshare.26990656.v1
title: Additional file 1 of Correlation between refractive errors and ocular biometric parameters in children and adolescents: a systematic review and meta-analysis

description: Supplementary Material 1: Table S1. Summary of subgroup analysis of refractive error.
DOI: 10.18150/f7ppnx
title: Measurements of propidium iodide fluorescence intensity in hippocampal slices cultured with upconverting nanoparticles

description: In the study we evaluated the impact of upconverting nanoparticles added at different concentrations on the viability of cells in cultured organotypic hippocampal slices. Microscopic images of slices were collected with Axio Vert microscope. The color images were converted to grayscale, thresholded, and the fluorescence from each hippocampal slice was measured using ImageJ software. Results of the analyses of the data are presented in Figure 7 in the linked paper [Zajdel et al.; Int J Mol Sci; 2023]. The values in the graph are the means of mean grey value (arbitrary units) of at last 4 hippocampal slices.
DOI: 10.6084/m9.figshare.26990704
title: Additional file 3 of Multi-omics analysis reveals the molecular response to heat stress in a “red tide” dinoflagellate

description: Additional file 3. Supplementary Tables S1-S29.
DOI: 10.6084/m9.figshare.26990704.v1
title: Additional file 3 of Multi-omics analysis reveals the molecular response to heat stress in a “red tide” dinoflagellate

description: Additional file 3. Supplementary Tables S1-S29.
DOI: 10.6084/m9.figshare.26990707
title: Additional file 4 of Multi-omics analysis reveals the molecular response to heat stress in a “red tide” dinoflagellate

description: Additional file 4. Supplementary Data S1.
DOI: 10.6084/m9.figshare.26990707.v1
title: Additional file 4 of Multi-omics analysis reveals the molecular response to heat stress in a “red tide” dinoflagellate

description: Additional file 4. Supplementary Data S1.
DOI: 10.6084/m9.figshare.26990719
title: Additional file 2 of Grapevine bacterial communities display compartment-specific dynamics over space and time within the Central Valley of California

description: Additional file 2. Table S1 Characteristics of the vineyard blocks used within the study. Table S2 Soil elemental composition of the vineyard blocks used within the study. Values are reported in mg/kg (ppm) with the exception of pH which is reported in the standard scale. Table S3 Optimal hyperparameters for training machine learning models. Table S4 Linear model results for soil texture. Type-2 ANOVA table. Table S5 Linear model results for soil elemental composition principal components (PC). Type-2 ANOVA table. Table S6 Linear model results for Bray-Curtis Dissimilarity for soil samples. Type-2 ANOVA table. Table S7 Linear model results for alpha diversity statistics for soil samples, Chao1 index and Faith’s phylogenetic diversity. Type-2 ANOVA table. Table S8 Linear model results for sugar content of the berries. Type-3 ANOVA table. Table S9 Linear mixed model results for Faith’s Diversity index. Type-3 ANOVA table. Table S10 Linear mixed model results for Chao1 index. Type-3 ANOVA table. Table S11 Linear model results for root compartment taxa across taxonomic levels for each experimental factor. Table S12 Linear model results for leaf compartment taxa across taxonomic levels for each experimental factor. Table S13 Linear model results for berry compartment taxa across taxonomic levels for each experimental factor. Table S14 Output statistics for three-class machine learning models predicting rootstock genotype, collection site, and plant compartment. Table S15 Output statistics for binary class machine learning models predicting scion genotype and collection year. In these models Cabernet Sauvignon and 2018 represented the positive class.
DOI: 10.6084/m9.figshare.26990719.v1
title: Additional file 2 of Grapevine bacterial communities display compartment-specific dynamics over space and time within the Central Valley of California

description: Additional file 2. Table S1 Characteristics of the vineyard blocks used within the study. Table S2 Soil elemental composition of the vineyard blocks used within the study. Values are reported in mg/kg (ppm) with the exception of pH which is reported in the standard scale. Table S3 Optimal hyperparameters for training machine learning models. Table S4 Linear model results for soil texture. Type-2 ANOVA table. Table S5 Linear model results for soil elemental composition principal components (PC). Type-2 ANOVA table. Table S6 Linear model results for Bray-Curtis Dissimilarity for soil samples. Type-2 ANOVA table. Table S7 Linear model results for alpha diversity statistics for soil samples, Chao1 index and Faith’s phylogenetic diversity. Type-2 ANOVA table. Table S8 Linear model results for sugar content of the berries. Type-3 ANOVA table. Table S9 Linear mixed model results for Faith’s Diversity index. Type-3 ANOVA table. Table S10 Linear mixed model results for Chao1 index. Type-3 ANOVA table. Table S11 Linear model results for root compartment taxa across taxonomic levels for each experimental factor. Table S12 Linear model results for leaf compartment taxa across taxonomic levels for each experimental factor. Table S13 Linear model results for berry compartment taxa across taxonomic levels for each experimental factor. Table S14 Output statistics for three-class machine learning models predicting rootstock genotype, collection site, and plant compartment. Table S15 Output statistics for binary class machine learning models predicting scion genotype and collection year. In these models Cabernet Sauvignon and 2018 represented the positive class.
DOI: 10.6084/m9.figshare.26990725
title: Additional file 1 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 1. Sample information of 37 fetal hearts used in the study.
DOI: 10.6084/m9.figshare.26990725.v1
title: Additional file 1 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 1. Sample information of 37 fetal hearts used in the study.
DOI: 10.6084/m9.figshare.26990731
title: Additional file 2 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 2. Expression values of differentially expressed small RNAs.
DOI: 10.6084/m9.figshare.26990731.v1
title: Additional file 2 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 2. Expression values of differentially expressed small RNAs.
DOI: 10.6084/m9.figshare.26990737.v1
title: Additional file 4 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 4. Significant differentially expressed and uniquely mapped miRNAs.
DOI: 10.6084/m9.figshare.26990737
title: Additional file 4 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 4. Significant differentially expressed and uniquely mapped miRNAs.
DOI: 10.6084/m9.figshare.26990740
title: Additional file 5 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 5. Cluster assignment of significant differently expressed miRNAs.
DOI: 10.6084/m9.figshare.26990740.v1
title: Additional file 5 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 5. Cluster assignment of significant differently expressed miRNAs.
DOI: 10.6084/m9.figshare.26990743
title: Additional file 6 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 6. Sample information of 53 fetal heart samples used in this study.
DOI: 10.6084/m9.figshare.26990743.v1
title: Additional file 6 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 6. Sample information of 53 fetal heart samples used in this study.
DOI: 10.6084/m9.figshare.26990746
title: Additional file 7 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 7. Significant differentially expressed mRNA across gestation (P value &lt; 0.05).
DOI: 10.6084/m9.figshare.26990746.v1
title: Additional file 7 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 7. Significant differentially expressed mRNA across gestation (P value &lt; 0.05).
DOI: 10.6084/m9.figshare.26990749
title: Additional file 8 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 8. Significant differentially expressed and negatively correlated miRNA-mRNA pairs.
DOI: 10.6084/m9.figshare.26990749.v1
title: Additional file 8 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 8. Significant differentially expressed and negatively correlated miRNA-mRNA pairs.
DOI: 10.6084/m9.figshare.26990767
title: Additional file 14 of Integrated small RNA, mRNA and protein omics reveal a miRNA network orchestrating metabolic maturation of the developing human heart

description: Additional file 14. Reporter metabolites analysis results (metabolites).