cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6824123.v1
title: Additional file 3: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S2. The functional annotations of in-frame mutations of TNRC6A and FAM90A1. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.6824129.v1
title: Additional file 4: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S3. The significant somatic copy-number alterations in 302 ESCC samples. The copy-number statuses, FDR and the mutated sample counts of peak regions are based on JISTIC. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.6824132
title: Additional file 5: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S4. Genes of significant somatic copy-number alterations in ESCC. The copy-number GSCORE and FDR, the somatic copy-number statuses of each gene are based on JSTIC. A: amplification, D: deletion and N: neutral. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.6824138.v1
title: Additional file 7: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S5. The results of Gene Set Enrichment Analysis. (a) The subnetworks significantly enrich for KEGG pathways. (b) The subnetworks significantly enrich for Transcription factor targets. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.20455460.v1
title: Additional file 6 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 6: Supplementary Table 5. 362 pairs of interaction between 83 miRNAs and 61 lncRNAs.
DOI: 10.6084/m9.figshare.6824102
title: Additional file 1: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S1. Somatic mutations in 302 ESCC patients. (XLSX 785 kb)
DOI: 10.6084/m9.figshare.6824129
title: Additional file 4: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S3. The significant somatic copy-number alterations in 302 ESCC samples. The copy-number statuses, FDR and the mutated sample counts of peak regions are based on JISTIC. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.20455457
title: Additional file 5 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 5: Supplementary Table 4. 1611 differentially expressed genes (DEGs) between low- and high-risk groups.
DOI: 10.6084/m9.figshare.20455463
title: Additional file 7 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 7: Supplementary Table 6. 251 differentially expressed miRNAs between low- and high-risk groups.
DOI: 10.6084/m9.figshare.13115100
title: Additional file 3 of Genome-wide analysis of differentially expressed mRNAs, lncRNAs, and circRNAs in chicken bursae of Fabricius during infection with very virulent infectious bursal disease virus

description: Additional file 3. The information of all known lncRNAs identified in this study.
DOI: 10.6084/m9.figshare.13114913
title: Additional file 10 of miR168 targets Argonaute1A mediated miRNAs regulation pathways in response to potassium deficiency stress in tomato

description: Additional file 10: Table S10. miRNA/mRNA pairs in the comparison of 35S:rSlAGO1 and WT plants, with upregulated/upregulated,downregulated/downregulated, upregulated/downregulated, downregulated/upregulated by integrated analysis of miRNA-Seq and mRNA-Seq.
DOI: 10.6084/m9.figshare.6824138
title: Additional file 7: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S5. The results of Gene Set Enrichment Analysis. (a) The subnetworks significantly enrich for KEGG pathways. (b) The subnetworks significantly enrich for Transcription factor targets. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.7872788.v1
title: Additional file 1: of A novel mutation in the OAR domain of PITX3 associated with congenital posterior subcapsular cataract

description: Table S1. The full filtering variants of the genetic testing panel. (XLSX 62â kb)
DOI: 10.6084/m9.figshare.13114916.v1
title: Additional file 11 of miR168 targets Argonaute1A mediated miRNAs regulation pathways in response to potassium deficiency stress in tomato

description: Additional file 11: Table S11. List of the differentially expressed mRNAs in 35S:SlmiR168a plants compared with WT.
DOI: 10.6084/m9.figshare.13114919.v1
title: Additional file 12 of miR168 targets Argonaute1A mediated miRNAs regulation pathways in response to potassium deficiency stress in tomato

description: Additional file 12: Table S12. List of the differentially expressed mRNAs in 35S:rSlAGO1 plants compared with WT.
DOI: 10.6084/m9.figshare.13115118
title: Additional file 9 of Genome-wide analysis of differentially expressed mRNAs, lncRNAs, and circRNAs in chicken bursae of Fabricius during infection with very virulent infectious bursal disease virus

description: Additional file 9. GO enrichment analysis of mRNAs.
DOI: 10.6084/m9.figshare.6824102.v1
title: Additional file 1: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S1. Somatic mutations in 302 ESCC patients. (XLSX 785 kb)
DOI: 10.6084/m9.figshare.7872788
title: Additional file 1: of A novel mutation in the OAR domain of PITX3 associated with congenital posterior subcapsular cataract

description: Table S1. The full filtering variants of the genetic testing panel. (XLSX 62â kb)
DOI: 10.6084/m9.figshare.13115402
title: Additional file 8 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 8: Table S4. Primer sequences used in this study.
DOI: 10.6084/m9.figshare.13115399.v1
title: Additional file 7 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 7: Table S3. The coding sequence variation analysis of genes located in qLTG_sRDP2–10a region between high LTG lines (517 and S18) and low LTG lines (HJX74 and 86) based on DNA re-sequencing.
DOI: 10.6084/m9.figshare.20455457.v1
title: Additional file 5 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 5: Supplementary Table 4. 1611 differentially expressed genes (DEGs) between low- and high-risk groups.
DOI: 10.6084/m9.figshare.13115393
title: Additional file 5 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 5: Table S1. The LTG and information of 375 rice accessions.
DOI: 10.6084/m9.figshare.13115402.v1
title: Additional file 8 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 8: Table S4. Primer sequences used in this study.
DOI: 10.6084/m9.figshare.6824075.v1
title: Additional file 14: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S6. Summary of the clinical features of the 302 ESCC patients included in this study. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.7873073
title: Additional file 3: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: A matrix containing the microarray data and significance values from the linear model (TXT 3344 kb)
DOI: 10.6084/m9.figshare.13115399
title: Additional file 7 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 7: Table S3. The coding sequence variation analysis of genes located in qLTG_sRDP2–10a region between high LTG lines (517 and S18) and low LTG lines (HJX74 and 86) based on DNA re-sequencing.
DOI: 10.6084/m9.figshare.7873073.v1
title: Additional file 3: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: A matrix containing the microarray data and significance values from the linear model (TXT 3344 kb)
DOI: 10.6084/m9.figshare.7873064
title: Additional file 1: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Markers used in the genotyping of the Îą-synuclein ILs. (XLSX 22 kb)
DOI: 10.6084/m9.figshare.6824123
title: Additional file 3: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S2. The functional annotations of in-frame mutations of TNRC6A and FAM90A1. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.24125891.v1
title: Hot-air full drying driven metabolome changes in white tea (<i>Camellia sinensis</i> L.)

description: White tea (<i>Camillia sinensis</i> L.) is the least processed tea, and due to simpler processing steps involved, its flavor and nutritive compound composition is least disturbed. However, only a limited number of research has explored the key metabolomic changes during white tea processing (especially drying). The freshly harvested leaves of <i>C. sinensis</i> var. Tieguanyin were initially withered at room temperature for 72 h, and first-dried on fire at 70°C for 3 h. Then, they were spread at room temperature for 7 days and fully dried at 80°C for 4 h, followed by cooled at room temperature. The metabolome of the tea leaves before (CK) and after full drying (RO) were compared using UPLC-MS/MS. The LC-MS/MS analysis identified 1,253 compounds belonging to 11 classes. The highest number of accumulated compounds belonged to flavonoids, phenolic acids, and lipids. Of the 57 differentially accumulated metabolites (DAMs), 49 were up-accumulated in RO. These were classified as amino acids derivatives, lipids, organic acids, vitamins, alkaloids, nucleotides and derivatives, flavonoids, tannins, terpenoids, lignans and coumarins. We found that several health beneficial compounds showed up-accumulation in RO compared to CK. We concluded that Hot-air full drying alters white team metabolome composition.
DOI: 10.6084/m9.figshare.6824132.v1
title: Additional file 5: of Germline and somatic variations influence the somatic mutational signatures of esophageal squamous cell carcinomas in a Chinese population

description: Table S4. Genes of significant somatic copy-number alterations in ESCC. The copy-number GSCORE and FDR, the somatic copy-number statuses of each gene are based on JSTIC. A: amplification, D: deletion and N: neutral. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.7873082
title: Additional file 4: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Gene ontology analysis (GO) of genes identified as affected by Age, Genotype (GB), Îą-synuclein (aS) and the interaction between genotype and aS, and the details of genes shown in Fig. 1b including the p values and average log2 ratios with the mean per genotype for the 78 genes highly specific for aS relative to both Age and GB. (XLSX 246 kb)
DOI: 10.6084/m9.figshare.7873085
title: Additional file 5: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Lifespan assays in Îą-synuclein ILs and relevant wild isolates. (TXT 2 kb)
DOI: 10.6084/m9.figshare.7873085.v1
title: Additional file 5: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Lifespan assays in Îą-synuclein ILs and relevant wild isolates. (TXT 2 kb)
DOI: 10.6084/m9.figshare.20455469
title: Additional file 9 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 9: Supplementary Table 8. 75 final targets mRNAs in the CeRNA network.
DOI: 10.6084/m9.figshare.7873091
title: Additional file 6: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Rates of matricidal hatching in Îą-synuclein ILs and relevant wild isolates. (TXT 574 bytes)
DOI: 10.6084/m9.figshare.7873091.v1
title: Additional file 6: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Rates of matricidal hatching in Îą-synuclein ILs and relevant wild isolates. (TXT 574 bytes)
DOI: 10.6084/m9.figshare.19407578.v1
title: Fig. 5.xls

description: Fig. 5. κr and κf as functions of grating height Hg. (DC=0.7)
(a) and (b) Surface gratings, (c) and (d) Buried gratings.
DOI: 10.6084/m9.figshare.19407590
title: Fig. 6.xls

description: Fig. 6. Coupling coefficient versus grating sidewall tilt angle θ. (DC=0.7)
(a) Surface gratings, (b) Buried gratings.
DOI: 10.6084/m9.figshare.19407593
title: Fig. 7.xls

description: Fig. 7. Coupling coefficient and Bragg wavelength versus waveguide thickness.
(a) Surface gratings, (b) Buried gratings.
DOI: 10.6084/m9.figshare.19407593.v1
title: Fig. 7.xls

description: Fig. 7. Coupling coefficient and Bragg wavelength versus waveguide thickness.
(a) Surface gratings, (b) Buried gratings.
DOI: 10.6084/m9.figshare.19407596
title: Fig. 8.xls

description: Fig. 8. Coupling coefficient versus refractive index of lower cladding layer.
(a) and (b) Surface gratings, (c) and (d) Buried gratings.
DOI: 10.6084/m9.figshare.13115393.v1
title: Additional file 5 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 5: Table S1. The LTG and information of 375 rice accessions.
DOI: 10.6084/m9.figshare.13115396.v1
title: Additional file 6 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 6: Table S2. The rice accessions with LTG over 90%.
DOI: 10.6084/m9.figshare.19407602
title: Fig. 9.xls

description: Fig. 9. Transmission characteristics of surface gratings covered with Si3N4.
(a) DC, (b) Hg, (c) Optical distribution.
DOI: 10.6084/m9.figshare.24125891
title: Hot-air full drying driven metabolome changes in white tea (<i>Camellia sinensis</i> L.)

description: White tea (<i>Camillia sinensis</i> L.) is the least processed tea, and due to simpler processing steps involved, its flavor and nutritive compound composition is least disturbed. However, only a limited number of research has explored the key metabolomic changes during white tea processing (especially drying). The freshly harvested leaves of <i>C. sinensis</i> var. Tieguanyin were initially withered at room temperature for 72 h, and first-dried on fire at 70°C for 3 h. Then, they were spread at room temperature for 7 days and fully dried at 80°C for 4 h, followed by cooled at room temperature. The metabolome of the tea leaves before (CK) and after full drying (RO) were compared using UPLC-MS/MS. The LC-MS/MS analysis identified 1,253 compounds belonging to 11 classes. The highest number of accumulated compounds belonged to flavonoids, phenolic acids, and lipids. Of the 57 differentially accumulated metabolites (DAMs), 49 were up-accumulated in RO. These were classified as amino acids derivatives, lipids, organic acids, vitamins, alkaloids, nucleotides and derivatives, flavonoids, tannins, terpenoids, lignans and coumarins. We found that several health beneficial compounds showed up-accumulation in RO compared to CK. We concluded that Hot-air full drying alters white team metabolome composition.
DOI: 10.6084/m9.figshare.13115396
title: Additional file 6 of The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.)

description: Additional file 6: Table S2. The rice accessions with LTG over 90%.
DOI: 10.6084/m9.figshare.20455460
title: Additional file 6 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 6: Supplementary Table 5. 362 pairs of interaction between 83 miRNAs and 61 lncRNAs.
DOI: 10.6084/m9.figshare.20455466
title: Additional file 8 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 8: Supplementary Table 7. 1159 target genes of 28 differentially expressed miRNAs.
DOI: 10.6084/m9.figshare.20455469.v1
title: Additional file 9 of M6A-related lncRNAs predict clinical outcome and regulate the tumor immune microenvironment in hepatocellular carcinoma

description: Additional file 9: Supplementary Table 8. 75 final targets mRNAs in the CeRNA network.
DOI: 10.6084/m9.figshare.19407605.v1
title: Fig. 12.xls

description: Fig. 12. Grating coupling characteristics dependence on the number of period of DBR.
(a) κf; (b) κf (λ=1.062 μm); (c) κf-up; (d) κf-down. (DC=0.7; Hg=0.5μm)
DOI: 10.6084/m9.figshare.19407608
title: Fig. 11.xls

description: Fig. 11. Effect of intermediate layer thickness on grating coupling characteristics.
(a) κf; (b) κf (λ=1.062μm); (c) κr-up; (d) κr-down. (DC=0.7; Hg=0.5μm)
DOI: 10.6084/m9.figshare.19407578
title: Fig. 5.xls

description: Fig. 5. κr and κf as functions of grating height Hg. (DC=0.7)
(a) and (b) Surface gratings, (c) and (d) Buried gratings.
DOI: 10.6084/m9.figshare.7873082.v1
title: Additional file 4: of Genetic background modifies phenotypic and transcriptional responses in a C. elegans model of Îą-synuclein toxicity

description: Gene ontology analysis (GO) of genes identified as affected by Age, Genotype (GB), Îą-synuclein (aS) and the interaction between genotype and aS, and the details of genes shown in Fig. 1b including the p values and average log2 ratios with the mean per genotype for the 78 genes highly specific for aS relative to both Age and GB. (XLSX 246 kb)
DOI: 10.6084/m9.figshare.5998745
title: Additional file 1: Table S1. of Maternal undernutrition and offspring sex determine birth-weight, postnatal development and meat characteristics in traditional swine breeds

description: Calculated analysis (g/kg, dry-matter basis) and fatty acid composition of the diets. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.5998745.v1
title: Additional file 1: Table S1. of Maternal undernutrition and offspring sex determine birth-weight, postnatal development and meat characteristics in traditional swine breeds

description: Calculated analysis (g/kg, dry-matter basis) and fatty acid composition of the diets. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.5998739
title: MOESM1 of Econometric estimation of WHO-CHOICE country-specific costs for inpatient and outpatient health service delivery

description: Additional file 1: Annex S1. Countries and number of unit cost observations included in the inpatient and outpatient cost prediction models. Annex S2. Data characteristics collected through standard template.
DOI: 10.6084/m9.figshare.5998739.v1
title: MOESM1 of Econometric estimation of WHO-CHOICE country-specific costs for inpatient and outpatient health service delivery

description: Additional file 1: Annex S1. Countries and number of unit cost observations included in the inpatient and outpatient cost prediction models. Annex S2. Data characteristics collected through standard template.
DOI: 10.6084/m9.figshare.5998658
title: R_scripts-analysis

description: R code for analyzing model outputs
DOI: 10.6084/m9.figshare.5998658.v1
title: R_scripts-analysis

description: R code for analyzing model outputs
DOI: 10.6084/m9.figshare.5998655
title: R_scripts-simulation

description: R code for running the simulations
DOI: 10.6084/m9.figshare.5998655.v1
title: R_scripts-simulation

description: R code for running the simulations
DOI: 10.6084/m9.figshare.5998652
title: Inputs

description: Misc. model input files for speeding up analyses (starting states for stochastic simulations, pre-generated eddy fields, ACr variogram initial parameter guesses, etc)
DOI: 10.6084/m9.figshare.5998652.v1
title: Inputs

description: Misc. model input files for speeding up analyses (starting states for stochastic simulations, pre-generated eddy fields, ACr variogram initial parameter guesses, etc)
DOI: 10.6084/m9.figshare.5998649
title: Outputs-analyses-ACr_startingParams

description: Initial parameter values for fitting variograms
DOI: 10.6084/m9.figshare.5998637
title: Outputs-simulations-StochasticRuns_highDiffusion

description: Model simulation outputs, stochastic runs, high diffusion case
DOI: 10.6084/m9.figshare.5998637.v1
title: Outputs-simulations-StochasticRuns_highDiffusion

description: Model simulation outputs, stochastic runs, high diffusion case
DOI: 10.6084/m9.figshare.5998616
title: Jucker et al. (2018) Ecology Letters

description: Data used in Jucker et al. (2018) Ecology Letters, in press
DOI: 10.6084/m9.figshare.5998604
title: Theoretical ribosomal protein mass fingerprint of Coprinus cinereus

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Coprinus cinereus</i>.<br><br>
DOI: 10.6084/m9.figshare.5998604.v1
title: Theoretical ribosomal protein mass fingerprint of Coprinus cinereus

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Coprinus cinereus</i>.<br><br>
DOI: 10.6084/m9.figshare.5998601
title: Theoretical ribosomal protein mass fingerprint of Cryptococcus neoformans

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Cryptococcus neoformans</i>.<br><br>
DOI: 10.6084/m9.figshare.5998601.v1
title: Theoretical ribosomal protein mass fingerprint of Cryptococcus neoformans

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Cryptococcus neoformans</i>.<br><br>
DOI: 10.6084/m9.figshare.5998598
title: maxi r script

description: maxi code for plots and analyses
DOI: 10.6084/m9.figshare.5998598.v1
title: maxi r script

description: maxi code for plots and analyses
DOI: 10.6084/m9.figshare.5998595
title: maxi dataset

description: maxi data used for analyses and plots
DOI: 10.6084/m9.figshare.5998595.v1
title: maxi dataset

description: maxi data used for analyses and plots
DOI: 10.6084/m9.figshare.5998592
title: Peer review checklist

description: A checklist to help draft a referee's report when undertaking peer review