cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10297679.v1
title: MOESM9 of An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies

description: Additional file 9 Quantitative validation by significance analysis of DAVID search against other phenotype-oriented resources. We searched the nine relevant genes resulted from the workflow in PheGenI [56], ToppGene [57] and g:Profiler [58]. We quantitatively evaluated this search selecting those terms with a significance less than 0.05 using Benjamini-Hochberg FDR statistic. We obtained a minor result in DAVID search (OMIM search did not offer the phenotypes p-values, unlike GAP DISEASE database). Even so, results are useful to develop a quantitative comparison between semiautomatic platforms and bibliographic search systems (sheet 1). From these results we represented the genotype-phenotype association networks to compare easily each p-value phenotype obtained (sheet 2). It should be noted that p-values of clinical phenotypes could be only obtained from one of the two databases explored through DAVID (GAP DISEASE database), and so the genotype-phenotype association network is sparser than the network of the manuscript (section A in Figs. 5, 6, 7). Yet, it is demonstrated that the workflow results are statistically significant and are as valid as or even better than systematic or exhaustive reviews. Then, we created three Boolean tables (in sheets 3, 4, 5) comparing each phenotype obtained from each search; these tables were then converted to binary matrices and clustering multivariate statistical analyses and bootstrap validations were carried out. This approach demonstrated that the results provided in the manuscript, obtained from DAVID (DAVID_m) and systematic and exhaustive reviews, clustered together in a robust and significant way (sheets 3, 4, 5). Hence, this workflow builds as productive results as a non-automatic research but in a quicker way allowing the extraction of information which a priori might not seem relevant when the starting point is a very large group of genes in disease. Moreover, the results obtained using just significant FDR corrected p-values also cluster in particular branches.
DOI: 10.6084/m9.figshare.10297667
title: MOESM5 of An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies

description: Additional file 5. Procedure and data extracted through the systematic review of the most relevant genes in channelopathies. Detailed procedure for the filtering and extraction of the relevant information of each gene and its diseases involved in channelopathies after the application of the systematic review.
DOI: 10.6084/m9.figshare.10297694.v1
title: Data of "Upper mantle seismic anisotropy beneath the Northern Transantarctic Mountains inferred from microstructures in mantle xenoliths near Mt Melbourne, northern Victoria Land, Antarctica"

description: The samples included in the data set are J04-A5, B2, C, D, E and F. The files are formed as .ctf and exported from HKL channel 5 software after processes of basic noise reduction and rotation of olivine [100] and [010] aligned to E-W and N-S directions, respectively.
DOI: 10.6084/m9.figshare.10297667.v1
title: MOESM5 of An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies

description: Additional file 5. Procedure and data extracted through the systematic review of the most relevant genes in channelopathies. Detailed procedure for the filtering and extraction of the relevant information of each gene and its diseases involved in channelopathies after the application of the systematic review.
DOI: 10.6084/m9.figshare.10297694.v2
title: Data of "Upper mantle seismic anisotropy beneath the Northern Transantarctic Mountains inferred from mantle xenoliths near Mt Melbourne, northern Victoria Land, Antarctica"

description: The samples included in the data set are J04-A5, B2, C, D, E and F. The files are formed as .ctf and exported from HKL channel 5 software after processes of basic noise reduction and rotation of olivine [100] and [010] aligned to horizontal and vertical directions, respectively.
DOI: 10.6084/m9.figshare.10297694.v3
title: Data of "Upper mantle seismic anisotropy beneath the Northern Transantarctic Mountains inferred from mantle xenoliths near Mt Melbourne, northern Victoria Land, Antarctica"

description: The samples included in the data set are J04-A5, B2, C, D, E and F. The files are formed as .ctf and exported from HKL channel 5 software after processes of basic noise reduction and rotation of olivine [100] and [010] aligned to horizontal and vertical directions, respectively.
DOI: 10.6084/m9.figshare.10297634
title: MOESM1 of PyBDA: a command line tool for automated analysis of big biological data sets

description: Additional file 1 Features used for the regression tasks.
DOI: 10.6084/m9.figshare.10297634.v1
title: MOESM1 of PyBDA: a command line tool for automated analysis of big biological data sets

description: Additional file 1 Features used for the regression tasks.
DOI: 10.6084/m9.figshare.10297589
title: MOESM1 of Behavioral analysis in mice deficient for GAREM2 (Grb2-associated regulator of Erk/MAPK subtype2) that is a subtype of highly expressing in the brain

description: Additional file 1. All results of statistical analysis in behavioral data.
DOI: 10.6084/m9.figshare.10297589.v1
title: MOESM1 of Behavioral analysis in mice deficient for GAREM2 (Grb2-associated regulator of Erk/MAPK subtype2) that is a subtype of highly expressing in the brain

description: Additional file 1. All results of statistical analysis in behavioral data.
DOI: 10.6084/m9.figshare.10297526
title: MOESM1 of Effect of smoking cessation on tooth loss: a systematic review with meta-analysis

description: Additional file 1. Funnel plots of longitudinal studies investigating the effect of smoking and smoking cessation on tooth loss. (a) former smokers vs. never smokers (Egger’s test for asymmetry, p = 0.06), (b) current smokers vs. never smokers (Egger’s test for asymmetry, p = 0.79).
DOI: 10.6084/m9.figshare.10297526.v1
title: MOESM1 of Effect of smoking cessation on tooth loss: a systematic review with meta-analysis

description: Additional file 1. Funnel plots of longitudinal studies investigating the effect of smoking and smoking cessation on tooth loss. (a) former smokers vs. never smokers (Egger’s test for asymmetry, p = 0.06), (b) current smokers vs. never smokers (Egger’s test for asymmetry, p = 0.79).
DOI: 10.6084/m9.figshare.10297481
title: MOESM1 of Population-specific factors associated with fractional excretion of uric acid

description: Additional file 1: Table S1. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S2. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S3. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S4. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S5. Genotype distribution, call rate, and Hardy-Weinberg equilibrium data for fractional excretion of uric acid-associated single nucleotide polymorphisms. Table S6. Genotype distribution, call rate, and Hardy-Weinberg equilibrium data for fractional excretion of uric acid-associated single nucleotide polymorphisms. Table S7. Association analysis of 10 single nucleotide polymorphisms with fractional excretion of uric acid. Table S8. Univariate linear regression analysis of male sex, body mass index, diuretic use and polygenic score with variables included in fractional excretion of uric acid calculation. Table S9. Multivariable linear regression analysis of male sex, body mass index, diuretic use, and polygenic score with clinical variables included in fractional excretion of uric acid calculation. Table S10. Predictors of fractional excretion of uric acid in linear regression analysis. Figure S1. Frequency distribution of fractional excretion of uric acid in all participants and according to ancestry group. FEUA, fractional excretion of uric acid.
DOI: 10.6084/m9.figshare.10297481.v1
title: MOESM1 of Population-specific factors associated with fractional excretion of uric acid

description: Additional file 1: Table S1. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S2. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S3. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S4. Power to detect association between single nucleotide polymorphisms and fractional excretion of uric acid. Table S5. Genotype distribution, call rate, and Hardy-Weinberg equilibrium data for fractional excretion of uric acid-associated single nucleotide polymorphisms. Table S6. Genotype distribution, call rate, and Hardy-Weinberg equilibrium data for fractional excretion of uric acid-associated single nucleotide polymorphisms. Table S7. Association analysis of 10 single nucleotide polymorphisms with fractional excretion of uric acid. Table S8. Univariate linear regression analysis of male sex, body mass index, diuretic use and polygenic score with variables included in fractional excretion of uric acid calculation. Table S9. Multivariable linear regression analysis of male sex, body mass index, diuretic use, and polygenic score with clinical variables included in fractional excretion of uric acid calculation. Table S10. Predictors of fractional excretion of uric acid in linear regression analysis. Figure S1. Frequency distribution of fractional excretion of uric acid in all participants and according to ancestry group. FEUA, fractional excretion of uric acid.
DOI: 10.6084/m9.figshare.10297406
title: MOESM1 of Takotsubo syndrome in patients with myasthenia gravis: a systematic review of previously reported cases

description: Additional file 1. Datasheet of the review on Takotsubo Syndrome in patients with Myasthenia Gravis, 2018. This provides the data extracted for the review.
DOI: 10.6084/m9.figshare.10297397
title: MOESM9 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 9. Sequences of genes used for RT-qPCR analysis.
DOI: 10.6084/m9.figshare.10297397.v1
title: MOESM9 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 9. Sequences of genes used for RT-qPCR analysis.
DOI: 10.6084/m9.figshare.10297406.v1
title: MOESM1 of Takotsubo syndrome in patients with myasthenia gravis: a systematic review of previously reported cases

description: Additional file 1. Datasheet of the review on Takotsubo Syndrome in patients with Myasthenia Gravis, 2018. This provides the data extracted for the review.
DOI: 10.6084/m9.figshare.10297373
title: MOESM5 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 5. Distribution of Simple Sequence Repeats (SSR) markers identified using MISA.
DOI: 10.6084/m9.figshare.10297379
title: MOESM6 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 6. KEGG pathway annotation for all genes obtained from KEGG Automated Annotation Server (KAAS).
DOI: 10.6084/m9.figshare.10297385
title: MOESM7 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 7. Gene Ontology annotation for all genes obtained from BLAST similarity searches.
DOI: 10.6084/m9.figshare.10297373.v1
title: MOESM5 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 5. Distribution of Simple Sequence Repeats (SSR) markers identified using MISA.
DOI: 10.6084/m9.figshare.10297379.v1
title: MOESM6 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 6. KEGG pathway annotation for all genes obtained from KEGG Automated Annotation Server (KAAS).
DOI: 10.6084/m9.figshare.10297385.v1
title: MOESM7 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 7. Gene Ontology annotation for all genes obtained from BLAST similarity searches.
DOI: 10.6084/m9.figshare.10297358
title: MOESM3 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 3. Repeats content estimation and classification for Pachycladon cheesemanii.
DOI: 10.6084/m9.figshare.10297358.v1
title: MOESM3 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 3. Repeats content estimation and classification for Pachycladon cheesemanii.
DOI: 10.6084/m9.figshare.10297349
title: MOESM1 of Reducing shoulder complaints in employees with high occupational shoulder exposures: study protocol for a cluster-randomised controlled study (The Shoulder-Café Study)

description: Additional file 1. a: Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) Checklist. b: World Health Organisation (WHO) Trial Registration Data Set.
DOI: 10.6084/m9.figshare.10297352
title: MOESM2 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 2. Statistics of different assemblies for Pachycladon cheesemanii.
DOI: 10.6084/m9.figshare.10297349.v1
title: MOESM1 of Reducing shoulder complaints in employees with high occupational shoulder exposures: study protocol for a cluster-randomised controlled study (The Shoulder-Café Study)

description: Additional file 1. a: Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) Checklist. b: World Health Organisation (WHO) Trial Registration Data Set.
DOI: 10.6084/m9.figshare.10297337
title: MOESM11 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 11. List of primers used for RT-qPCR analysis.
DOI: 10.6084/m9.figshare.10297352.v1
title: MOESM2 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 2. Statistics of different assemblies for Pachycladon cheesemanii.
DOI: 10.6084/m9.figshare.10297337.v1
title: MOESM11 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 11. List of primers used for RT-qPCR analysis.
DOI: 10.6084/m9.figshare.10297331
title: MOESM10 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 10. Read statistics of libraries used for sequencing.
DOI: 10.6084/m9.figshare.10297331.v1
title: MOESM10 of Genome draft of the Arabidopsis relative Pachycladon cheesemanii reveals novel strategies to tolerate New Zealandâ€™s high ultraviolet B radiation environment

description: Additional file 10. Read statistics of libraries used for sequencing.
DOI: 10.6084/m9.figshare.10297319
title: MOESM6 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 6. Categorization to pathways of transcripts designated to different clades.
DOI: 10.6084/m9.figshare.10297319.v1
title: MOESM6 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 6. Categorization to pathways of transcripts designated to different clades.
DOI: 10.6084/m9.figshare.10297298
title: MOESM3 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 3: Figure S3. MapMan illustrations of the upregulated defense pathways in plants of the Mediterranean (blue) and the desert (red) populations in response to elicitation by wounding (A), or OS of S. littoralis (B) and P. brassicae (C). The upper and lower rows represent the early and late responses, respectively.
DOI: 10.6084/m9.figshare.10297286
title: MOESM2 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 2: Figure S2. Results of the principal component analysis (PCA) of the transcriptome profiles of the three replicates of the desert and Mediterranean (Med) populations. Control, early (ER) and late (LR) responses to the three elicitation treatments: wounding (Wo) or OS of S. littoralis (Sl) or P. brassicae (Pb).
DOI: 10.6084/m9.figshare.10297298.v1
title: MOESM3 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 3: Figure S3. MapMan illustrations of the upregulated defense pathways in plants of the Mediterranean (blue) and the desert (red) populations in response to elicitation by wounding (A), or OS of S. littoralis (B) and P. brassicae (C). The upper and lower rows represent the early and late responses, respectively.
DOI: 10.6084/m9.figshare.10297283
title: MOESM1 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 1: Figure S1. Comparison of the resulting 80,946 contigs against the transcriptome catalogue.
DOI: 10.6084/m9.figshare.10297286.v1
title: MOESM2 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 2: Figure S2. Results of the principal component analysis (PCA) of the transcriptome profiles of the three replicates of the desert and Mediterranean (Med) populations. Control, early (ER) and late (LR) responses to the three elicitation treatments: wounding (Wo) or OS of S. littoralis (Sl) or P. brassicae (Pb).
DOI: 10.6084/m9.figshare.10297283.v1
title: MOESM1 of Transcriptome responses to different herbivores reveal differences in defense strategies between populations of Eruca sativa

description: Additional file 1: Figure S1. Comparison of the resulting 80,946 contigs against the transcriptome catalogue.
DOI: 10.6084/m9.figshare.10297205
title: MOESM3 of The effect of antibiotics on the clinical outcomes of patients with solid cancers undergoing immune checkpoint inhibitor treatment: a retrospective study

description: Additional file 3. Multivariate analysis.
DOI: 10.6084/m9.figshare.10297205.v1
title: MOESM3 of The effect of antibiotics on the clinical outcomes of patients with solid cancers undergoing immune checkpoint inhibitor treatment: a retrospective study

description: Additional file 3. Multivariate analysis.
DOI: 10.6084/m9.figshare.10297187
title: MOESM1 of The effect of antibiotics on the clinical outcomes of patients with solid cancers undergoing immune checkpoint inhibitor treatment: a retrospective study

description: Additional file 1. Immune check point inhibitors, Treatment response in solid cancer. Non-evaluated, N = 24, ATB 60: antibiotics use within 60 days before ICI start, ATB 30: antibiotics use within 30 days before ICI start.
DOI: 10.6084/m9.figshare.10297187.v1
title: MOESM1 of The effect of antibiotics on the clinical outcomes of patients with solid cancers undergoing immune checkpoint inhibitor treatment: a retrospective study

description: Additional file 1. Immune check point inhibitors, Treatment response in solid cancer. Non-evaluated, N = 24, ATB 60: antibiotics use within 60 days before ICI start, ATB 30: antibiotics use within 30 days before ICI start.
DOI: 10.6084/m9.figshare.10297139
title: MOESM1 of Dataset’s chemical diversity limits the generalizability of machine learning predictions

description: Additional file 1. AML building example. Source code for the ML results.
DOI: 10.6084/m9.figshare.10297142
title: MOESM2 of Dataset’s chemical diversity limits the generalizability of machine learning predictions

description: Additional file 2. Functional groups analysis. Complete table of all encountered functional groups in PC9 and QM9.
DOI: 10.6084/m9.figshare.10297142.v1
title: MOESM2 of Dataset’s chemical diversity limits the generalizability of machine learning predictions

description: Additional file 2. Functional groups analysis. Complete table of all encountered functional groups in PC9 and QM9.
DOI: 10.6084/m9.figshare.10297139.v1
title: MOESM1 of Dataset’s chemical diversity limits the generalizability of machine learning predictions

description: Additional file 1. AML building example. Source code for the ML results.
DOI: 10.6084/m9.figshare.10297082
title: MOESM7 of Comparative acetylome analysis reveals the potential roles of lysine acetylation for DON biosynthesis in Fusarium graminearum

description: Additional file 7: Table S7. Protein-protein interaction network of identified acetylated proteins.
DOI: 10.6084/m9.figshare.10297079
title: MOESM1 of Genetic polymorphisms associated with sleep-related phenotypes; relationships with individual nocturnal symptoms of insomnia in the HUNT study

description: Additional file 1. Full results for the multinomial regression analysis.
DOI: 10.6084/m9.figshare.10297076
title: MOESM6 of Comparative acetylome analysis reveals the potential roles of lysine acetylation for DON biosynthesis in Fusarium graminearum

description: Additional file 6: Table S6. KEGG pathway enrichment analysis.
DOI: 10.6084/m9.figshare.10297079.v1
title: MOESM1 of Genetic polymorphisms associated with sleep-related phenotypes; relationships with individual nocturnal symptoms of insomnia in the HUNT study

description: Additional file 1. Full results for the multinomial regression analysis.
DOI: 10.6084/m9.figshare.10297073
title: MOESM5 of Comparative acetylome analysis reveals the potential roles of lysine acetylation for DON biosynthesis in Fusarium graminearum

description: Additional file 5: Table S5. GO-based enrichment of the acetylated proteins.
DOI: 10.6084/m9.figshare.10297076.v1
title: MOESM6 of Comparative acetylome analysis reveals the potential roles of lysine acetylation for DON biosynthesis in Fusarium graminearum

description: Additional file 6: Table S6. KEGG pathway enrichment analysis.
DOI: 10.6084/m9.figshare.10297082.v1
title: MOESM7 of Comparative acetylome analysis reveals the potential roles of lysine acetylation for DON biosynthesis in Fusarium graminearum

description: Additional file 7: Table S7. Protein-protein interaction network of identified acetylated proteins.