cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48668/kcqprf
title: Global trends of bladder cancer incidence and mortality, and their associations with tobacco use and gross domestic product per capita

description: This data archive contains the data that supplement the manuscript in European Urology titled “Global trends of bladder cancer incidence and mortality, and their associations with tobacco use and gross domestic product per capita”. The data consist of the age-standardised rates of bladder cancer incidence and mortality for different regions and countries, temporal trend and average annual percent change in incidence and mortality for bladder cancer.
DOI: 10.48668/pw5ds6/95vsig
title: 10654_2020_650_MOESM1_ESM.pdf

description: :unav
DOI: 10.48668/pw5ds6
title: Global, regional and time-trend prevalence of central obesity: a systematic review and meta-analysis of 13.2 million subjects

description: This data archive contains the data that supplement the manuscript in European Journal of Epidemiology titled “Global, regional and time-trend prevalence of central obesity: a systematic review and meta-analysis of 13.2 million subjects”. The data consist of the search strategy for article selection, MOOSE checklist for meta-analyses of observational studies, different definitions of metabolic syndrome, classifications of regions, characteristics of studies on prevalence, quality assessment of selected articles, results of univariate and multivariate meta-regression analysis, and results of sensitivity analysis.
DOI: 10.6084/m9.figshare.17029595
title: Fig data

description: data deposit<br>
DOI: 10.48668/laqwsi/vskvfg
title: 1-s2.0-S0160412019340383-mmc1.pdf

description: :unav
DOI: 10.48668/laqwsi
title: Long-term exposure to ambient fine particles and gastrointestinal cancer mortality in Taiwan: a cohort study

description: This data archive contains the data that supplement the manuscript in Environment International titled “Long-term exposure to ambient fine particles and gastrointestinal cancer mortality in Taiwan: a cohort study”. The data consist of a short review of previous studies on the associations between air pollution and gastrointestinal cancer, baseline characteristics of the participants in the study, sensitivity analyses for the associations of PM2.5 with gastrointestinal cancer mortality, and stratified analyses of associations between PM2.5 and gastrointestinal cancer mortality by BMI, education, alcohol drinking and physical activity.
DOI: 10.6084/m9.figshare.17009831
title: An alternative SCA1B product for GRACE-FO from 2018-06 to 2020-12

description: The GRACE-FO SCA1B data product is obtained by combining the SCA1A data and IMU1A data through the Kalman filter. The date of the solution is 2018.06-2020.12.
DOI: 10.48668/a2zst9/bvhpwt
title: gutjnl-2020-November-69-11-1998-inline-supplementary-material-1.tab

description: :unav
DOI: 10.48668/a2zst9/iahq15
title: gutjnl-2020-November-69-11-1998-inline-supplementary-material-2.pdf

description: :unav
DOI: 10.48668/a2zst9
title: Southern Chinese populations harbour non-nucleatum Fusobacteria possessing homologues of the colorectal cancer-associated FadA virulence factor

description: This data archive contains the data that supplement the manuscript in Gut titled “Southern Chinese populations harbour non-nucleatum Fusobacteria possessing homologues of the colorectal cancer-associated FadA virulence factor”. The data consist of a list of human gut metagenome data sets included in this study, basic parameters of the HKGutMicMap cohort, average relative abundances of gut microbial phyla in non-CRC cohorts, prevalence and relative abundances of fusobacterial species in CRC subjects and non-CRC cohorts from CRC case-control studies, fusobacterial genomes in RefSeq database release 89, fusobacterial genomes included in this study, average percentage of CRC and non-CRC gut metagenome reads mapped to dereplicated fusobacterial genomes, pairwise average nucleotide identity comparisons among dereplicated fusobacterial genomes, clusters of genomes formed during genome dereplication, prevalence of KEGG orthologous groups in the Fusobacterium clades, FadA and Fap2 homologues found in fusobacterial genomes, and genome characteristics of eight fusobacteria isolated from frozen stools.
DOI: 10.48668/1yajqv/jcaeuq
title: bmjgh-2020-003573supp004_data_supplement.pdf

description: :unav
DOI: 10.48668/1yajqv/iwtkjj
title: bmjgh-2020-003573supp002_data_supplement.pdf

description: :unav
DOI: 10.48668/1yajqv/fukrav
title: bmjgh-2020-003573supp001_data_supplement.pdf

description: :unav
DOI: 10.48668/1yajqv/jr8tbn
title: bmjgh-2020-003573supp003_data_supplement.pdf

description: :unav
DOI: 10.48668/1yajqv
title: Stringent containment measures without complete city lockdown to achieve low incidence and mortality across two waves of COVID-19 in Hong Kong

description: This data archive contains the data that supplement the manuscript in BMJ Global Health titled “Stringent containment measures without complete city lockdown to achieve low incidence and mortality across two waves of COVID-19 in Hong Kong”. The data consist of the characteristics of first 1038 confirmed COVID-19 cases across two epidemic waves in Hong Kong.
DOI: 10.48668/n4sfdw/8ldrfq
title: medinform_v8i5e17452_app3.pdf

description: :unav
DOI: 10.48668/n4sfdw/exmrni
title: medinform_v8i5e17452_app1.pdf

description: :unav
DOI: 10.48668/n4sfdw/6p1awm
title: medinform_v8i5e17452_app2.pdf

description: :unav
DOI: 10.48668/n4sfdw/fotwfi
title: medinform_v8i5e17452_app4.pdf

description: :unav
DOI: 10.48668/n4sfdw/obc2vi
title: medinform_v8i5e17452_app6.pdf

description: :unav
DOI: 10.48668/n4sfdw/x37ii6
title: medinform_v8i5e17452_app5.pdf

description: :unav
DOI: 10.48668/n4sfdw/tzinga
title: medinform_v8i5e17452_app7.pdf

description: :unav
DOI: 10.48668/n4sfdw
title: The perceptions of and factors associated with the adoption of the electronic health record sharing system among patients and physicians: cross-sectional survey

description: This data archive contains the data that supplement the manuscript in JMIR Medical Informatics titled “The perceptions of and factors associated with the adoption of the electronic health record sharing system among patients and physicians: cross-sectional survey”. The data consist of channels for patients to know about electronic health record sharing system (eHRSS), perceived areas to improve eHRSS and factors associated with eHRSS among patients, channels for physicians to know about eHRSS, perceived areas to improve, perceived strategies to increase the awareness, and perceived scope of areas of eHRSS to be expanded among physicians.
DOI: 10.21227/mvvn-j328
title: Daily-life Sound and Haptic Material (DSHM) Dataset and the related code

description: The code and dataset for multimodal unknown surface material classification.
DOI: 10.48668/kfrzfi/obb5yg
title: 32088300-data4.pdf

description: :unav
DOI: 10.48668/kfrzfi/0cjxd8
title: 32088300-data2.pdf

description: :unav
DOI: 10.48668/kfrzfi/hmv8qj
title: 32088300-data3.pdf

description: :unav
DOI: 10.48668/kfrzfi/n4jk3q
title: 32088300-data1.pdf

description: :unav
DOI: 10.48668/kfrzfi
title: Differences in incidence and mortality trends of colorectal cancer worldwide based on sex, age, and anatomic location

description: This data archive contains the data that supplement the manuscript in Clinical Gastroenterology and Hepatology titled “Differences in incidence and mortality trends of colorectal cancer worldwide based on sex, age, and anatomic location”. The data consist of temporal trends of the incidence of colon/rectal cancer and mortality of colorectal cancer (CRC), and absolute rates of the incidence/mortality of CRC in different countries and time frames for the estimation of average annual percentage change for individuals.
DOI: 10.48668/oywtjn/eoca3w
title: 31323383-data3.pdf

description: :unav
DOI: 10.48668/oywtjn/pnmewv
title: 31323383-data4.pdf

description: :unav
DOI: 10.48668/oywtjn/q0q1wz
title: 31323383-data2.pdf

description: :unav
DOI: 10.48668/oywtjn/unzhz1
title: 31323383-data1.pdf

description: :unav
DOI: 10.48668/oywtjn
title: Global prevalence of colorectal neoplasia: a systematic review and meta-analysis

description: This data archive contains the data that supplement the manuscript in Clinical Gastroenterology and Hepatology titled “Global prevalence of colorectal neoplasia: a systematic review and meta-analysis”. The data consist of search strategies on the systematic review, characteristics of included studies, quality assessment of included studies, and results of multivariate meta-regression.
DOI: 10.6084/m9.figshare.17030429
title: Selected text data of personal statement.xlsx

description: Text data of personal statement by Japanese medical students who gave their consent to share the whole text.
DOI: 10.6084/m9.figshare.17030429.v1
title: Selected text data of personal statement.xlsx

description: Text data of personal statement by Japanese medical students who gave their consent to share the whole text.
DOI: 10.6084/m9.figshare.17030598.v1
title: Additional file 1 of The effects of betamethasone on clinical outcome of the late preterm neonates born between 34 and 36 weeks of gestation

description: Additional file 1.
DOI: 10.6084/m9.figshare.17030598
title: Additional file 1 of The effects of betamethasone on clinical outcome of the late preterm neonates born between 34 and 36 weeks of gestation

description: Additional file 1.
DOI: 10.5519/qd.99rr6108
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (198 records)
DOI: 10.6084/m9.figshare.17030616
title: Additional file 1 of The genetic susceptibility profile of type 2 diabetes and reflection of its possible role related to reproductive dysfunctions in the southern Indian population of Hyderabad

description: Additional file 1: Table S1. Comparison of baseline characteristics of T2DM cases and controls
DOI: 10.6084/m9.figshare.17030616.v1
title: Additional file 1 of The genetic susceptibility profile of type 2 diabetes and reflection of its possible role related to reproductive dysfunctions in the southern Indian population of Hyderabad

description: Additional file 1: Table S1. Comparison of baseline characteristics of T2DM cases and controls
DOI: 10.6084/m9.figshare.17030622
title: Additional file 3 of The genetic susceptibility profile of type 2 diabetes and reflection of its possible role related to reproductive dysfunctions in the southern Indian population of Hyderabad

description: Additional file 3: Table S3. Allelic association results of the 92 SNPs considered in this study
DOI: 10.6084/m9.figshare.17030622.v1
title: Additional file 3 of The genetic susceptibility profile of type 2 diabetes and reflection of its possible role related to reproductive dysfunctions in the southern Indian population of Hyderabad

description: Additional file 3: Table S3. Allelic association results of the 92 SNPs considered in this study
DOI: 10.5281/zenodo.5697045
title: Availability and use of technology for e-learning

description: Archival bundle of technological availability, usability, and association to university students' perceived stress due to e-learning curriculum in Bangladesh.
DOI: 10.6084/m9.figshare.17030661
title: Additional file 1 of NMD abnormalities during brain development in the Fmr1-knockout mouse model of fragile X syndrome

description: Additional file 1. This file contains one supplementary table (Table S1).
DOI: 10.6084/m9.figshare.17030661.v1
title: Additional file 1 of NMD abnormalities during brain development in the Fmr1-knockout mouse model of fragile X syndrome

description: Additional file 1. This file contains one supplementary table (Table S1).
DOI: 10.6084/m9.figshare.17030670
title: Additional file 4 of NMD abnormalities during brain development in the Fmr1-knockout mouse model of fragile X syndrome

description: Additional file 4. This file contains one supplementary table (Table S3).
DOI: 10.6084/m9.figshare.17030670.v1
title: Additional file 4 of NMD abnormalities during brain development in the Fmr1-knockout mouse model of fragile X syndrome

description: Additional file 4. This file contains one supplementary table (Table S3).
DOI: 10.6084/m9.figshare.13076553
title: Additional file 3 of Characterization of the Leaf Microbiome from Whole-Genome Sequencing Data of the 3000 Rice Genomes Project

description: Additional file 3: Table S1. List of 3 K-RGP rice accessions with number of reads that did not map to the rice genomes (unmapped reads). Table S2. Phyla and genera composition of the 3 K RGP microbiome. Table S3. Significant genera that contribute to the differences between accessions grown in China and accessions grown in Philippines. Table S4. Quantitative PCR validation of metagenomic analysis using 17 rice accessions from the 3 K-RGP project. The table indicate the genera used for the experiments, followed by the primer sequences, the reference for the primers, the qPCR results (delta Ct and standard deviation). Then the list of the 17 accessions and their groups are indicated. Table S5. Co-abundance network values for the most abundant genera in the 3KRGP microbiome. Table S6. Co-abundance network modules with the most connected microbes. Table S7. Metabolic pathways predicted by Vikodak based on KEGG levels 1 and 3. Table S8. Significant signals from the genome wide association analysis (GWAS). Table S9. Description of haplotype blocks for each significant SNP, number of associated candidate genes and the QTLs that match to the same region.
DOI: 10.6084/m9.figshare.13076553.v1
title: Additional file 3 of Characterization of the Leaf Microbiome from Whole-Genome Sequencing Data of the 3000 Rice Genomes Project

description: Additional file 3: Table S1. List of 3 K-RGP rice accessions with number of reads that did not map to the rice genomes (unmapped reads). Table S2. Phyla and genera composition of the 3 K RGP microbiome. Table S3. Significant genera that contribute to the differences between accessions grown in China and accessions grown in Philippines. Table S4. Quantitative PCR validation of metagenomic analysis using 17 rice accessions from the 3 K-RGP project. The table indicate the genera used for the experiments, followed by the primer sequences, the reference for the primers, the qPCR results (delta Ct and standard deviation). Then the list of the 17 accessions and their groups are indicated. Table S5. Co-abundance network values for the most abundant genera in the 3KRGP microbiome. Table S6. Co-abundance network modules with the most connected microbes. Table S7. Metabolic pathways predicted by Vikodak based on KEGG levels 1 and 3. Table S8. Significant signals from the genome wide association analysis (GWAS). Table S9. Description of haplotype blocks for each significant SNP, number of associated candidate genes and the QTLs that match to the same region.
DOI: 10.6084/m9.figshare.13685035
title: Additional file 2 of LINC00460/DHX9/IGF2BP2 complex promotes colorectal cancer proliferation and metastasis by mediating HMGA1 mRNA stability depending on m6A modification

description: Additional file 2: Dataset 1. Differentially expressed genes in the microarray.
DOI: 10.6084/m9.figshare.13685035.v1
title: Additional file 2 of LINC00460/DHX9/IGF2BP2 complex promotes colorectal cancer proliferation and metastasis by mediating HMGA1 mRNA stability depending on m6A modification

description: Additional file 2: Dataset 1. Differentially expressed genes in the microarray.
DOI: 10.6084/m9.figshare.17030814
title: Additional file 3 of In vitro growth inhibitory activity of Medicines for Malaria Venture pathogen box compounds against Leishmania aethiopica

description: Additional file 3: Supportive file Table 1. Hit map with actual Percentage of inhibition of MMV pathogen Box compounds against Leishmania aethiopica promastigotes at 1 μM.
DOI: 10.6084/m9.figshare.17030814.v1
title: Additional file 3 of In vitro growth inhibitory activity of Medicines for Malaria Venture pathogen box compounds against Leishmania aethiopica

description: Additional file 3: Supportive file Table 1. Hit map with actual Percentage of inhibition of MMV pathogen Box compounds against Leishmania aethiopica promastigotes at 1 μM.
DOI: 10.6084/m9.figshare.16417462
title: Additional file 11 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 11: Suppl Table 1. Summary of the cohorts used in each step to create and validate the gene expression-based, DNAm-based, and iGlioSub classifiers.
DOI: 10.6084/m9.figshare.16417462.v1
title: Additional file 11 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 11: Suppl Table 1. Summary of the cohorts used in each step to create and validate the gene expression-based, DNAm-based, and iGlioSub classifiers.
DOI: 10.6084/m9.figshare.16417465.v1
title: Additional file 12 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 12: Suppl Table 2. Medium position of centroids and medium standard deviation for each gene in the gene expression-based panels.
DOI: 10.6084/m9.figshare.16417468
title: Additional file 13 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 13: Suppl Table 3. Medium position of centroids and medium standard deviation for each CpG site in the DNAm-based panels.
DOI: 10.6084/m9.figshare.16417465
title: Additional file 12 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 12: Suppl Table 2. Medium position of centroids and medium standard deviation for each gene in the gene expression-based panels.
DOI: 10.6084/m9.figshare.16417468.v1
title: Additional file 13 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 13: Suppl Table 3. Medium position of centroids and medium standard deviation for each CpG site in the DNAm-based panels.
DOI: 10.6084/m9.figshare.16417471
title: Additional file 14 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 14: Suppl Table 4. Medium position of centroids and medium standard deviation for each gene or CpG site in the iGlioSub panels.
DOI: 10.6084/m9.figshare.16417471.v1
title: Additional file 14 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 14: Suppl Table 4. Medium position of centroids and medium standard deviation for each gene or CpG site in the iGlioSub panels.
DOI: 10.6084/m9.figshare.16417477
title: Additional file 16 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 16: Suppl Table 6. Confusion matrix of applying our gene expression classifier to a validation cohort from the Human Glioblastoma Cell Culture (HGCC).
DOI: 10.6084/m9.figshare.16417474
title: Additional file 15 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 15: Suppl Table 5. Results of applying our gene expression classifier to a validation cohort from the Human Glioblastoma Cell Culture (HGCC).
DOI: 10.6084/m9.figshare.16417477.v1
title: Additional file 16 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 16: Suppl Table 6. Confusion matrix of applying our gene expression classifier to a validation cohort from the Human Glioblastoma Cell Culture (HGCC).
DOI: 10.6084/m9.figshare.16417480
title: Additional file 17 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 17: Suppl Table 7. Results of applying our DNAm classifier to a validation cohort from TCGA and GSE128654.
DOI: 10.6084/m9.figshare.16417480.v1
title: Additional file 17 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 17: Suppl Table 7. Results of applying our DNAm classifier to a validation cohort from TCGA and GSE128654.
DOI: 10.6084/m9.figshare.16417483.v1
title: Additional file 18 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 18: Suppl Table 8. Confusion matrix of the application of our DNAm classifier to a validation cohort from TCGA and GSE128654.
DOI: 10.6084/m9.figshare.16417474.v1
title: Additional file 15 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 15: Suppl Table 5. Results of applying our gene expression classifier to a validation cohort from the Human Glioblastoma Cell Culture (HGCC).
DOI: 10.6084/m9.figshare.16417486.v1
title: Additional file 19 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 19: Suppl Table 9. Results of the application of the iGlioSub classifier to a validation cohort from TCGA.
DOI: 10.6084/m9.figshare.16417486
title: Additional file 19 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 19: Suppl Table 9. Results of the application of the iGlioSub classifier to a validation cohort from TCGA.
DOI: 10.6084/m9.figshare.16417492.v1
title: Additional file 20 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 20: Suppl Table 10. Confusion matrix of the application of the iGlioSub classifier to a validation cohort from TCGA.
DOI: 10.6084/m9.figshare.16417483
title: Additional file 18 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 18: Suppl Table 8. Confusion matrix of the application of our DNAm classifier to a validation cohort from TCGA and GSE128654.
DOI: 10.6084/m9.figshare.16417492
title: Additional file 20 of iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

description: Additional file 20: Suppl Table 10. Confusion matrix of the application of the iGlioSub classifier to a validation cohort from TCGA.
DOI: 10.6084/m9.figshare.17030907
title: Additional file 1 of Hearing loss genes reveal patterns of adaptive evolution at the coding and non-coding levels in mammals

description: Additional file 1: Supp. Tables S1 to S10. Table S1. Initial screening of hearing loss genes (n = 420) for signatures of coding positive selection in the mammalian basal branch. Table S2. Extensive analysis of 58 candidate positively selected hearing loss genes obtained from initial screening. Table S3. Screening of coding positive selection in the human branch, using a background of primate species for our hearing loss database (n = 420). Table S4. Screening of non-coding acceleration in the mammalian and human branches. Table S5. Functional evidence of regulatory activity in non-coding accelerated elements in the mammalian and human branches. Table S6. Effect of variation in positively selected sites using human protein as reference. Table S7. Gene ontology analyses for mammal coding positive selected genes against the hearing loss database. Table S8. Gene ontology analyses for different sets of genes: non-coding elements in mammals (ncTSARs) vs. coding positive selection in mammals. Table S9. Information for candidate regulatory regions in hearing loss genes tested in enhancer assays in transgenic zebrafish. Table S10. Summary of distinct approaches performed to test the relative contribution of coding and non-coding elements for each hearing loss gene.