cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18132436.v1
title: Additional file 1 of Consistent changes in the intestinal microbiota of Atlantic salmon fed insect meal diets

description: Additional file 1. Table S1: Contaminating ASVs removed from the feature table. The primary contaminating ASVs were classified as Pseudomonas, Halomonas, Shewanella algae, Undibacterium, Bradyrhizobium, Ralstonia, Chitinophagaceae, Sediminibacterium, Curvibacter, Afipia, and Cutibacterium.
DOI: 10.6084/m9.figshare.18132465
title: Additional file 1 of Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis

description: Additional file 1. The criteria for overall Diabetes Mellitus, Diabetes Mellitus Type 1 and Diabetes mellitus Type 2.
DOI: 10.6084/m9.figshare.18132465.v1
title: Additional file 1 of Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis

description: Additional file 1. The criteria for overall Diabetes Mellitus, Diabetes Mellitus Type 1 and Diabetes mellitus Type 2.
DOI: 10.6084/m9.figshare.18132468
title: Additional file 2 of Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis

description: Additional file 2. Title: Number new of T2DM by age, period and median birth cohorts in BRICS,1990 to 2019. Description: The file includes five worksheets: ‘Brazil-Female’, ‘Brazil-Male’, ‘China-Female’, ‘China-Male’, ‘India-Female’, ‘India-Male’, ‘Russian Federation-Female’, ‘Russian Federation-Male’, ‘South Africa-Female’, ‘South Africa-Male’. In each sheet, the data indicate the number of new T2DM female/male patients in each specific age group during the period. The diagonal line from the lower left corner to the lower right represents the birth cohort.
DOI: 10.6084/m9.figshare.18132468.v1
title: Additional file 2 of Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis

description: Additional file 2. Title: Number new of T2DM by age, period and median birth cohorts in BRICS,1990 to 2019. Description: The file includes five worksheets: ‘Brazil-Female’, ‘Brazil-Male’, ‘China-Female’, ‘China-Male’, ‘India-Female’, ‘India-Male’, ‘Russian Federation-Female’, ‘Russian Federation-Male’, ‘South Africa-Female’, ‘South Africa-Male’. In each sheet, the data indicate the number of new T2DM female/male patients in each specific age group during the period. The diagonal line from the lower left corner to the lower right represents the birth cohort.
DOI: 10.6084/m9.figshare.18132471
title: Additional file 3 of Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis

description: Additional file 3. Title: Incidence rate of T2DM by age, period and median birth cohorts in BRICS,1990 to 2019. Description: The file includes five worksheets: ‘Brazil-Female’, ‘Brazil-Male’, ‘China-Female’, ‘China-Male’, ‘India-Female’, ‘India-Male’, ‘Russian Federation-Female’, ‘Russian Federation-Male’, ‘South Africa-Female’, ‘South Africa-Male’. In each sheet, the data indicate the incidence of T2DM per 100 000 men/women in each specific age group during the period. The diagonal line from the lower left corner to the lower right represents the birth cohort.
DOI: 10.6084/m9.figshare.18132471.v1
title: Additional file 3 of Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis

description: Additional file 3. Title: Incidence rate of T2DM by age, period and median birth cohorts in BRICS,1990 to 2019. Description: The file includes five worksheets: ‘Brazil-Female’, ‘Brazil-Male’, ‘China-Female’, ‘China-Male’, ‘India-Female’, ‘India-Male’, ‘Russian Federation-Female’, ‘Russian Federation-Male’, ‘South Africa-Female’, ‘South Africa-Male’. In each sheet, the data indicate the incidence of T2DM per 100 000 men/women in each specific age group during the period. The diagonal line from the lower left corner to the lower right represents the birth cohort.
DOI: 10.6084/m9.figshare.18132490
title: Additional file 3 of Adolescent school injuries and classroom sex compositions in German secondary schools

description: Additional file 3.
DOI: 10.6084/m9.figshare.18132490.v1
title: Additional file 3 of Adolescent school injuries and classroom sex compositions in German secondary schools

description: Additional file 3.
DOI: 10.6084/m9.figshare.18132517
title: Additional file 1 of Chest radiography in children aged 2–59 months enrolled in the Innovative Treatments in Pneumonia (ITIP) project in Lilongwe Malawi: a secondary analysis

description: Additional file 1. cxr data.
DOI: 10.6084/m9.figshare.18132517.v1
title: Additional file 1 of Chest radiography in children aged 2–59 months enrolled in the Innovative Treatments in Pneumonia (ITIP) project in Lilongwe Malawi: a secondary analysis

description: Additional file 1. cxr data.
DOI: 10.6084/m9.figshare.18132520
title: Additional file 2 of Chest radiography in children aged 2–59 months enrolled in the Innovative Treatments in Pneumonia (ITIP) project in Lilongwe Malawi: a secondary analysis

description: Additional file 2. Data dictionary.
DOI: 10.6084/m9.figshare.18132520.v1
title: Additional file 2 of Chest radiography in children aged 2–59 months enrolled in the Innovative Treatments in Pneumonia (ITIP) project in Lilongwe Malawi: a secondary analysis

description: Additional file 2. Data dictionary.
DOI: 10.6084/m9.figshare.18132583
title: Additional file 5 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 5: Table S1 Information on all scRNA-seq data sets and parameters for simulated data sets.
DOI: 10.6084/m9.figshare.18132583.v1
title: Additional file 5 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 5: Table S1 Information on all scRNA-seq data sets and parameters for simulated data sets.
DOI: 10.6084/m9.figshare.18132586
title: Additional file 6 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 6: Table S2 Tables with information on nuisance parameters.
DOI: 10.6084/m9.figshare.18132586.v1
title: Additional file 6 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 6: Table S2 Tables with information on nuisance parameters.
DOI: 10.6084/m9.figshare.18132589
title: Additional file 7 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 7: Table S3 Results of differential expression tests for BMNC data.
DOI: 10.6084/m9.figshare.18132589.v1
title: Additional file 7 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 7: Table S3 Results of differential expression tests for BMNC data.
DOI: 10.6084/m9.figshare.18132592
title: Additional file 8 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 8: Table S4 Results of differential expression tests for kidney data.
DOI: 10.6084/m9.figshare.18132592.v1
title: Additional file 8 of Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

description: Additional file 8: Table S4 Results of differential expression tests for kidney data.
DOI: 10.6084/m9.figshare.18132594
title: Additional file 1 of Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice

description: Additional file 1: Table S1. The detail information of united SNP combinations.
DOI: 10.6084/m9.figshare.18132594.v1
title: Additional file 1 of Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice

description: Additional file 1: Table S1. The detail information of united SNP combinations.
DOI: 10.6084/m9.figshare.18132597
title: Additional file 2 of Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice

description: Additional file 2: Table S2. The information of the united SNP combination sets of 3024 varieties.
DOI: 10.6084/m9.figshare.18132597.v1
title: Additional file 2 of Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice

description: Additional file 2: Table S2. The information of the united SNP combination sets of 3024 varieties.
DOI: 10.6084/m9.figshare.18132600
title: Additional file 3 of Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice

description: Additional file 3: Table S3. Metadata information for the 3K RG accessions.
DOI: 10.6084/m9.figshare.18132600.v1
title: Additional file 3 of Effective identification of varieties by nucleotide polymorphisms and its application for essentially derived variety identification in rice

description: Additional file 3: Table S3. Metadata information for the 3K RG accessions.
DOI: 10.6084/m9.figshare.18132781
title: Additional file 1 of Genome-wide analysis of metallothionein gene family in maize to reveal its role in development and stress resistance to heavy metal

description: Additional file 1: Table S1. The detailed components of the nutrient solution. Table S2. Primers for qRT-PCR. Table S3. Identified ZmMTgenes from maize and their related information.
DOI: 10.6084/m9.figshare.18132781.v1
title: Additional file 1 of Genome-wide analysis of metallothionein gene family in maize to reveal its role in development and stress resistance to heavy metal

description: Additional file 1: Table S1. The detailed components of the nutrient solution. Table S2. Primers for qRT-PCR. Table S3. Identified ZmMTgenes from maize and their related information.
DOI: 10.6084/m9.figshare.18132783
title: Additional file 2 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 2: Table S1. The correlation Pearson between ACE2 and other genes across all datasets.
DOI: 10.6084/m9.figshare.18132783.v1
title: Additional file 2 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 2: Table S1. The correlation Pearson between ACE2 and other genes across all datasets.
DOI: 10.6084/m9.figshare.18132786
title: Additional file 3 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 3: Table S2. The correlation Pearson between ACE2 and transcription factors across all datasets.
DOI: 10.6084/m9.figshare.18132786.v1
title: Additional file 3 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 3: Table S2. The correlation Pearson between ACE2 and transcription factors across all datasets.
DOI: 10.6084/m9.figshare.18132789
title: Additional file 4 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 4: Table S3. The enriched pathways related to genes that are correlated with ACE2 across all datasets.
DOI: 10.6084/m9.figshare.18132789.v1
title: Additional file 4 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 4: Table S3. The enriched pathways related to genes that are correlated with ACE2 across all datasets.
DOI: 10.6084/m9.figshare.18132792
title: Additional file 5 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 5: Table S4. Comparing the co-expression relationships of ACE2 in GEO and GTEx datasets.
DOI: 10.6084/m9.figshare.18132792.v1
title: Additional file 5 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 5: Table S4. Comparing the co-expression relationships of ACE2 in GEO and GTEx datasets.
DOI: 10.6084/m9.figshare.18132795
title: Additional file 6 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 6: Table S5. The association between ACE2 and other genes, measured by the t statistics from mix-effect models that controls for study differences.
DOI: 10.6084/m9.figshare.18132795.v1
title: Additional file 6 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 6: Table S5. The association between ACE2 and other genes, measured by the t statistics from mix-effect models that controls for study differences.
DOI: 10.6084/m9.figshare.18132798
title: Additional file 7 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 7: Table S6. The association between ACE2 and transcription factors, measured by the t statistics from mix-effect models that controls for study differences.
DOI: 10.6084/m9.figshare.18132798.v1
title: Additional file 7 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 7: Table S6. The association between ACE2 and transcription factors, measured by the t statistics from mix-effect models that controls for study differences.
DOI: 10.6084/m9.figshare.18132801
title: Additional file 8 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 8: Table S7. The enriched pathways related to genes that are associated with ACE2, measured by the t statistics from mix-effect models that controls for study differences.
DOI: 10.6084/m9.figshare.18132801.v1
title: Additional file 8 of Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients

description: Additional file 8: Table S7. The enriched pathways related to genes that are associated with ACE2, measured by the t statistics from mix-effect models that controls for study differences.
DOI: 10.6084/m9.figshare.18132805
title: Additional file 1 of Time trends in mental health indicators during the initial 16 months of the COVID-19 pandemic in Denmark

description: Additional file 1.
DOI: 10.6084/m9.figshare.18132805.v1
title: Additional file 1 of Time trends in mental health indicators during the initial 16 months of the COVID-19 pandemic in Denmark

description: Additional file 1.
DOI: 10.6084/m9.figshare.18132844
title: Additional file 1 of Oral cavity infection by the SARS-CoV-2: emphasizing the essence of masking and peptide therapeutics

description: Additional file 1. Per-residue free energy contribution table for the protein-protein interaction between TMPRSS2 and PAI-1.
DOI: 10.6084/m9.figshare.18132844.v1
title: Additional file 1 of Oral cavity infection by the SARS-CoV-2: emphasizing the essence of masking and peptide therapeutics

description: Additional file 1. Per-residue free energy contribution table for the protein-protein interaction between TMPRSS2 and PAI-1.
DOI: 10.6084/m9.figshare.18132856
title: Additional file 10 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 10:. Table S5. mESCs-EB BioID spectral count data.
DOI: 10.6084/m9.figshare.18132856.v1
title: Additional file 10 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 10:. Table S5. mESCs-EB BioID spectral count data.
DOI: 10.6084/m9.figshare.18132859
title: Additional file 11 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 11:. Table S6. HCT116-mito proteome spectral count data.
DOI: 10.6084/m9.figshare.18132859.v1
title: Additional file 11 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 11:. Table S6. HCT116-mito proteome spectral count data.
DOI: 10.6084/m9.figshare.18132868
title: Additional file 14 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 14:. Table S7. HCT116 TurboID spectral count data.
DOI: 10.6084/m9.figshare.18132868.v1
title: Additional file 14 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 14:. Table S7. HCT116 TurboID spectral count data.
DOI: 10.6084/m9.figshare.18132877
title: Additional file 17 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 17:. Table S8. Plasmids used in the study.
DOI: 10.6084/m9.figshare.18132877.v1
title: Additional file 17 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 17:. Table S8. Plasmids used in the study.
DOI: 10.6084/m9.figshare.18132880.v1
title: Additional file 18 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 18:. Table S9. Oligonucleotides used in the study.
DOI: 10.6084/m9.figshare.18132880
title: Additional file 18 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 18:. Table S9. Oligonucleotides used in the study.
DOI: 10.6084/m9.figshare.18132883
title: Additional file 19 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 19:. Table S10. Antibodies used in the study.
DOI: 10.6084/m9.figshare.18132883.v1
title: Additional file 19 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 19:. Table S10. Antibodies used in the study.
DOI: 10.6084/m9.figshare.18132892
title: Additional file 2 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 2:. Table S1. HCT116 Co-IP spectral count data.
DOI: 10.6084/m9.figshare.18132892.v1
title: Additional file 2 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 2:. Table S1. HCT116 Co-IP spectral count data.
DOI: 10.6084/m9.figshare.18132895
title: Additional file 3 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 3:. Table S2. mESCs Co-IP spectral count data.
DOI: 10.6084/m9.figshare.18132895.v1
title: Additional file 3 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 3:. Table S2. mESCs Co-IP spectral count data.
DOI: 10.6084/m9.figshare.18132910
title: Additional file 7 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 7:. Table S3. HCT116 BioID spectral count data.
DOI: 10.6084/m9.figshare.18132910.v1
title: Additional file 7 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 7:. Table S3. HCT116 BioID spectral count data.
DOI: 10.6084/m9.figshare.18132916.v1
title: Additional file 9 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 9:. Table S4. mESCs-ES BioID spectral count data.
DOI: 10.6084/m9.figshare.18132916
title: Additional file 9 of The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

description: Additional file 9:. Table S4. mESCs-ES BioID spectral count data.
DOI: 10.6084/m9.figshare.18132359
title: supplementary information CRP.xlsx

description: Roxadustat
DOI: 10.6084/m9.figshare.18132359.v1
title: supplementary information CRP.xlsx

description: Roxadustat
DOI: 10.6084/m9.figshare.17696432.v1
title: Semantic Priming English-Chinese (database by items) - Ng & Suarez

description: This database contained the semantic priming results for English and Chinese words (database by items)
DOI: 10.6084/m9.figshare.17134247.v4
title: Semantic Priming English and Chinese Words (RTs and Accuracy) by Participants- Ng & Suarez

description: This database shows the RTs and accuracy values for English and Chinese words during a semantic priming task (database by participants)
DOI: 10.6084/m9.figshare.17134232.v2
title: Semantic Priming Study - English and Chinese words (Stimuli characteristics) Ng & Suarez

description: This database contains the stimuli used to analyse priming effects in Chinese and English words in English-Chinese bilinguals
DOI: 10.6084/m9.figshare.17134232.v3
title: Semantic Priming Study - English and Chinese words (Stimuli characteristics)

description: This database contains the stimuli used to analyse priming effects in Chinese and English words in English-Chinese bilinguals
DOI: 10.6084/m9.figshare.17134247.v5
title: Semantic Priming English and Chinese Words (RTs and Accuracy) (database by participants)

description: This database shows the RTs and accuracy values for English and Chinese words during a semantic priming task (database by participants)
DOI: 10.6084/m9.figshare.17696432.v2
title: Semantic Priming English-Chinese (database by items)

description: This database contained the semantic priming results for English and Chinese words (database by items)
DOI: 10.6084/m9.figshare.18133379
title: Evaluating online learning engagement

description: Dataset for original article on medical education.
DOI: 10.6084/m9.figshare.17134247.v6
title: Semantic Priming English and Chinese Words (RTs and Accuracy) (database by participants)

description: This database shows the RTs and accuracy values for English and Chinese words during a semantic priming task (database by participants)
DOI: 10.6084/m9.figshare.17696432.v3
title: Semantic Priming English-Chinese (database by items)

description: This database contained the semantic priming results for English and Chinese words (database by items)
DOI: 10.18112/openneuro.ds003397.v1.2.1
title: Monash DaCRA-fPET-fMRI
DOI: 10.6084/m9.figshare.17134268.v4
title: Semantic Priming English and Chinese Words - Errors Database by Subjects

description: This database contains the average proportion of orthographic, phonological and control-stimuli mistakes made in a semantic priming task using English and Chinese words
DOI: 10.5517/ccdc.csd.cc1nt6m9
title: CCDC 1543571: Experimental Crystal Structure Determination

description: Related Article: Y.-I. Kim, S.-J. Yun, S.K. Kang|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|548|doi:10.1107/S2056989018004413