cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12593171.v1
title: Additional file 8 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 8: Table S4. Intramodular Connectivity. The table contains results from the intramodular connectivity analysis, including gene name, the module a gene belonged to, and interconnectivity scores; kTotal (whole network), kWithin (within module), kOut = kTotal-kWithin, and kDiff = kWithin-kOut. Additionally, the table includes information about whether a gene was annotated as an oncogene | tumor suppressor gene | dual role gene | driver gene | fusion gene in the COSMIC census gene set, or in the filtered results of CancerMine text-mining. The columns “DE Gene” and “Gene from Network” denote if a gene was found to be differentially expressed in any comparison and whether it was included in one of the miRNA-mRNA network, respectively. The genes are ranked based on interconnectivity within modules.
DOI: 10.6084/m9.figshare.12593159
title: Additional file 4 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 4: Table S2. This table contains sets of genes (mRNAs) from miRNA-mRNA networks, with accompanying information on logFC, adjusted p-values, information from the COSMIC database about frequency of mutations (predicted to be pathogenic), copy number variations (loss, gain) and information about known role in cancer. Additionally the table(s) also contains information about genes from CancerMine text-mining tool, e.g. if a given gene has been referred to as an oncogene, driver gene or tumour suppressor in literature. Genes are ranked based on mutational burden and CNVs.
DOI: 10.6084/m9.figshare.12593165
title: Additional file 6 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 6: Table S3. Set-wise Results of Differentially Abundance/Expression Analysis. List of differentially expressed intracellular mRNAs and interstitial fluid miRNAs from pairs which were either common across sets (Table S3.1) or unique to sets (Table S3.2).
DOI: 10.6084/m9.figshare.12593153
title: Additional file 2 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 2: Table S1. K-means Clusters. Partitioning of samples into two K-means clusters (C1, C2), based on interstitial fluid miRNA abundances or intra-tumor mRNA expression levels. Dot represents an un-matched sample. The column “consensus” denotes whether the sample was assigned to the same cluster based both on miRNA and mRNA levels.
DOI: 10.6084/m9.figshare.12593159.v1
title: Additional file 4 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 4: Table S2. This table contains sets of genes (mRNAs) from miRNA-mRNA networks, with accompanying information on logFC, adjusted p-values, information from the COSMIC database about frequency of mutations (predicted to be pathogenic), copy number variations (loss, gain) and information about known role in cancer. Additionally the table(s) also contains information about genes from CancerMine text-mining tool, e.g. if a given gene has been referred to as an oncogene, driver gene or tumour suppressor in literature. Genes are ranked based on mutational burden and CNVs.
DOI: 10.6084/m9.figshare.12593165.v1
title: Additional file 6 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 6: Table S3. Set-wise Results of Differentially Abundance/Expression Analysis. List of differentially expressed intracellular mRNAs and interstitial fluid miRNAs from pairs which were either common across sets (Table S3.1) or unique to sets (Table S3.2).
DOI: 10.6084/m9.figshare.12593144
title: Additional file 14 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 14: Table S6. Oncogenes and Tumor Suppressors in Co-expression Modules. Co-expressed genes from modules that were annotated as oncogenes, tumor suppressors, dual role genes, driver genes or fusion genes by COSMIC and/or CancerMine. As CancerMine is a prediction tool, we imposed a cut-off of minimum of 10 annotations/citations for a gene (cancer other and pan-cancer) and a minimum of 5 annotations/citations for genes specifically associated with breast cancer (See Materials and Methods).
DOI: 10.6084/m9.figshare.12593147
title: Additional file 15 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 15: Table S7. Experimental Support for miRNA and Gene Target Interaction. Prediction Differentially abundant tumor interstitial fluid miRNAs and their experimentally validated intracellular gene targets with support from MiRTarBase (Chou et al., 2017), release 7.0.
DOI: 10.6084/m9.figshare.12593144.v1
title: Additional file 14 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 14: Table S6. Oncogenes and Tumor Suppressors in Co-expression Modules. Co-expressed genes from modules that were annotated as oncogenes, tumor suppressors, dual role genes, driver genes or fusion genes by COSMIC and/or CancerMine. As CancerMine is a prediction tool, we imposed a cut-off of minimum of 10 annotations/citations for a gene (cancer other and pan-cancer) and a minimum of 5 annotations/citations for genes specifically associated with breast cancer (See Materials and Methods).
DOI: 10.6084/m9.figshare.12593153.v1
title: Additional file 2 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 2: Table S1. K-means Clusters. Partitioning of samples into two K-means clusters (C1, C2), based on interstitial fluid miRNA abundances or intra-tumor mRNA expression levels. Dot represents an un-matched sample. The column “consensus” denotes whether the sample was assigned to the same cluster based both on miRNA and mRNA levels.
DOI: 10.6084/m9.figshare.12593147.v1
title: Additional file 15 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 15: Table S7. Experimental Support for miRNA and Gene Target Interaction. Prediction Differentially abundant tumor interstitial fluid miRNAs and their experimentally validated intracellular gene targets with support from MiRTarBase (Chou et al., 2017), release 7.0.
DOI: 10.6084/m9.figshare.12593141
title: Additional file 13 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 13: Table S5. Interstitial Fluid miRNA and Intra-Tumor mRNA Targets Supported by Databases. Differentially abundant miRNAs with predicted mRNA target(s) from interaction networks and WCGNA, supported by cancer miRNA databases. Databases were: (I) CMEP (Circulating MicroRNA Expression Profiling) http://syslab5.nchu.edu.tw/CMEP/ (II) dbDEMC database of (Differentially Expressed MiRNAs in human Cancers) http://www.picb.ac.cn/dbDEMC/ and (III) miRCancer (microRNA Cancer Association Database) http://mircancer.ecu.edu/download.jsp . Database information on miRNA expression is included, e.g. directionality in comparison, experimental design.
DOI: 10.6084/m9.figshare.12593141.v1
title: Additional file 13 of Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration

description: Additional file 13: Table S5. Interstitial Fluid miRNA and Intra-Tumor mRNA Targets Supported by Databases. Differentially abundant miRNAs with predicted mRNA target(s) from interaction networks and WCGNA, supported by cancer miRNA databases. Databases were: (I) CMEP (Circulating MicroRNA Expression Profiling) http://syslab5.nchu.edu.tw/CMEP/ (II) dbDEMC database of (Differentially Expressed MiRNAs in human Cancers) http://www.picb.ac.cn/dbDEMC/ and (III) miRCancer (microRNA Cancer Association Database) http://mircancer.ecu.edu/download.jsp . Database information on miRNA expression is included, e.g. directionality in comparison, experimental design.
DOI: 10.6084/m9.figshare.12593124
title: Additional file 4 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 4: Supplementary Table 4.
DOI: 10.6084/m9.figshare.12858233.v1
title: R0191_20170915a_videos

description: Rat 0191, skilled reaching data collected on 9/152017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12858233
title: R0191_20170915a_videos

description: Rat 0191, skilled reaching data collected on 9/152017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12593121
title: Additional file 3 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 3: Supplementary Table 3.
DOI: 10.6084/m9.figshare.12593124.v1
title: Additional file 4 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 4: Supplementary Table 4.
DOI: 10.6084/m9.figshare.12593118
title: Additional file 2 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 2: Supplementary Table 2.
DOI: 10.6084/m9.figshare.12593115
title: Additional file 1 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 1: Supplementary Table 1.
DOI: 10.6084/m9.figshare.12593121.v1
title: Additional file 3 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 3: Supplementary Table 3.
DOI: 10.6084/m9.figshare.12593115.v1
title: Additional file 1 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 1: Supplementary Table 1.
DOI: 10.6084/m9.figshare.12593118.v1
title: Additional file 2 of Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data

description: Additional file 2: Supplementary Table 2.
DOI: 10.6084/m9.figshare.12593096
title: Additional file 1 of A randomized controlled trial of a virtual reality based, approach-avoidance training program for alcohol use disorder: a study protocol

description: Additional file 1.
DOI: 10.6084/m9.figshare.12593096.v1
title: Additional file 1 of A randomized controlled trial of a virtual reality based, approach-avoidance training program for alcohol use disorder: a study protocol

description: Additional file 1.
DOI: 10.6084/m9.figshare.12593097
title: Additional file 1 of Movement-assisted localization from acoustic telemetry data

description: Additional file 1 R code for simulating movement, signal rate, and the detection process describe in this paper, as well as for fitting all the models and some post-processing.
DOI: 10.6084/m9.figshare.12593097.v1
title: Additional file 1 of Movement-assisted localization from acoustic telemetry data

description: Additional file 1 R code for simulating movement, signal rate, and the detection process describe in this paper, as well as for fitting all the models and some post-processing.
DOI: 10.6084/m9.figshare.12593072
title: Supplementary data.docx

description: Supplementary data for the submitted manuscript named "DNA methylation haplotype block markers efficiently discriminate follicular thyroid carcinoma from follicular adenoma". <br>
DOI: 10.6084/m9.figshare.12593072.v1
title: Supplementary Tables.docx

description: Supplementary tables for the submitted manuscript named "DNA methylation haplotype block markers efficiently discriminate follicular thyroid carcinoma from follicular adenoma". <br>
DOI: 10.6084/m9.figshare.12593057
title: Additional file 1 of The association of a reduced susceptibility to moxifloxacin in causative Clostridium (Clostridioides) difficile strain with the clinical outcome of patients

description: Additional file 1.
DOI: 10.6084/m9.figshare.12593060
title: Additional file 2 of The association of a reduced susceptibility to moxifloxacin in causative Clostridium (Clostridioides) difficile strain with the clinical outcome of patients

description: Additional file 2.
DOI: 10.6084/m9.figshare.12593057.v1
title: Additional file 1 of The association of a reduced susceptibility to moxifloxacin in causative Clostridium (Clostridioides) difficile strain with the clinical outcome of patients

description: Additional file 1.
DOI: 10.6084/m9.figshare.12593060.v1
title: Additional file 2 of The association of a reduced susceptibility to moxifloxacin in causative Clostridium (Clostridioides) difficile strain with the clinical outcome of patients

description: Additional file 2.
DOI: 10.6084/m9.figshare.12593048
title: Additional file 9 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 9: Table S6. PCR information.
DOI: 10.6084/m9.figshare.12593045
title: Additional file 8 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 8: Table S5. Summary of number of genes assigned to 165 different KEGG pathways from Wolbachia genomes using KASS.
DOI: 10.6084/m9.figshare.12593046
title: Additional file 9 of Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke

description: Additional file 9. Forest plot of subgroups of studies with patients in the first 3 months or later after stroke.
DOI: 10.6084/m9.figshare.12593046.v1
title: Additional file 9 of Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke

description: Additional file 9. Forest plot of subgroups of studies with patients in the first 3 months or later after stroke.
DOI: 10.6084/m9.figshare.12593042
title: Additional file 7 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 7: Table S4. List of phage-like genes detectd by RAST pipeline.
DOI: 10.6084/m9.figshare.12593045.v1
title: Additional file 8 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 8: Table S5. Summary of number of genes assigned to 165 different KEGG pathways from Wolbachia genomes using KASS.
DOI: 10.6084/m9.figshare.12593048.v1
title: Additional file 9 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 9: Table S6. PCR information.
DOI: 10.6084/m9.figshare.12593039
title: Additional file 6 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 6: Table S3. List of detected transposable elements.
DOI: 10.6084/m9.figshare.12593040
title: Additional file 8 of Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke

description: Additional file 8. Forest plot of subgroups of studies with three different severities of arm paresis.
DOI: 10.6084/m9.figshare.12593036
title: Additional file 5 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 5: Table S2. Summary of BUSCOs analyses of Wolbachia complete genomes and wApol.
DOI: 10.6084/m9.figshare.12593040.v1
title: Additional file 8 of Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke

description: Additional file 8. Forest plot of subgroups of studies with three different severities of arm paresis.
DOI: 10.6084/m9.figshare.12593039.v1
title: Additional file 6 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 6: Table S3. List of detected transposable elements.
DOI: 10.6084/m9.figshare.12593042.v1
title: Additional file 7 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 7: Table S4. List of phage-like genes detectd by RAST pipeline.
DOI: 10.6084/m9.figshare.12593033
title: Additional file 4 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 4: Table S1.Wolbachia infections in 3 species of pseudoscorpions caught in the Montpellier (France) area determined by PCR amplification.
DOI: 10.6084/m9.figshare.12593033.v1
title: Additional file 4 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 4: Table S1.Wolbachia infections in 3 species of pseudoscorpions caught in the Montpellier (France) area determined by PCR amplification.
DOI: 10.6084/m9.figshare.12593036.v1
title: Additional file 5 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 5: Table S2. Summary of BUSCOs analyses of Wolbachia complete genomes and wApol.
DOI: 10.6084/m9.figshare.12593025
title: Additional file 4 of Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke

description: Additional file 4. a-c: Forest plots of indirect comparisons.
DOI: 10.6084/m9.figshare.12593025.v1
title: Additional file 4 of Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke

description: Additional file 4. a-c: Forest plots of indirect comparisons.
DOI: 10.6084/m9.figshare.12593021
title: Additional file 11 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 11: Table S8. NCBI accession of Wolbachia sequences used in the study and detail of sequences included in molecular analyses. The sequences produced are indicated in bold and blue.
DOI: 10.6084/m9.figshare.12593018
title: Additional file 10 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 10: Table S7. NCBI accession of CO1 sequences of pseudoscorpion produced in the study.
DOI: 10.6084/m9.figshare.12593021.v1
title: Additional file 11 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 11: Table S8. NCBI accession of Wolbachia sequences used in the study and detail of sequences included in molecular analyses. The sequences produced are indicated in bold and blue.
DOI: 10.6084/m9.figshare.12593018.v1
title: Additional file 10 of Pseudoscorpion Wolbachia symbionts: diversity and evidence for a new supergroup S

description: Additional file 10: Table S7. NCBI accession of CO1 sequences of pseudoscorpion produced in the study.
DOI: 10.6084/m9.figshare.12592998
title: Additional file 1 of Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases

description: Additional file 1.
DOI: 10.6084/m9.figshare.12592998.v1
title: Additional file 1 of Prevalence and risk factors for bone loss in Southern Chinese with rheumatic diseases

description: Additional file 1.
DOI: 10.6084/m9.figshare.12681746
title: Root_data.csv

description: The present dataset incudes the basic data to reply the results obtained in the puiblication named:<b><i>'Improving the staging of the neck injuries using a new index, the Neck Functional Holistic Analysis Score: Clustering approach to determine degrees of impairment'</i></b><b><i><br></i></b>
DOI: 10.6084/m9.figshare.12681746.v1
title: Root_data.csv

description: The present dataset incudes the basic data to reply the results obtained in the puiblication named:<b><i>'Improving the staging of the neck injuries using a new index, the Neck Functional Holistic Analysis Score: Clustering approach to determine degrees of impairment'</i></b><b><i><br></i></b>
DOI: 10.6084/m9.figshare.12592856
title: Additional file 6 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 6: Table S3. Proteomics analysis of GiPuf4 pull down.
DOI: 10.6084/m9.figshare.12592859
title: Additional file 7 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 7: Table S4. Alignment properties and model parameters used for the phylogenetic analyses.
DOI: 10.6084/m9.figshare.12592862
title: Additional file 8 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 8: Table S5. Prediction of Giardia Pufs target mRNA.
DOI: 10.6084/m9.figshare.12592856.v1
title: Additional file 6 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 6: Table S3. Proteomics analysis of GiPuf4 pull down.
DOI: 10.6084/m9.figshare.12592862.v1
title: Additional file 8 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 8: Table S5. Prediction of Giardia Pufs target mRNA.
DOI: 10.6084/m9.figshare.12592859.v1
title: Additional file 7 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 7: Table S4. Alignment properties and model parameters used for the phylogenetic analyses.
DOI: 10.6084/m9.figshare.12592844
title: Additional file 2 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 2: Table S2. Classification of PufSF proteins from UniProt referenced proteomes.
DOI: 10.6084/m9.figshare.12592841
title: Additional file 1 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 1: Table S1. The clustering analysis of PufSF proteins.
DOI: 10.6084/m9.figshare.12592844.v1
title: Additional file 2 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 2: Table S2. Classification of PufSF proteins from UniProt referenced proteomes.
DOI: 10.6084/m9.figshare.12592839
title: Additional file 1 of A systematic review of validated screening tools for anxiety disorders and PTSD in low to middle income countries

description: Additional file 1. Appendix
DOI: 10.6084/m9.figshare.12592841.v1
title: Additional file 1 of The evolution of the Puf superfamily of proteins across the tree of eukaryotes

description: Additional file 1: Table S1. The clustering analysis of PufSF proteins.
DOI: 10.6084/m9.figshare.12592839.v1
title: Additional file 1 of A systematic review of validated screening tools for anxiety disorders and PTSD in low to middle income countries

description: Additional file 1. Appendix