cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19119389.v2
title: Database study "Time spent at a maternity pen during winter influence cow and calf behavior in pasture-based dairy systems"

description: Database study "Time spent at a maternity pen during winter influence cow and calf behavior in pasture based dairy systems"
DOI: 10.6084/m9.figshare.19119755
title: Data set_Driving force of urban water.xlsx

description: Panel data for evaluate urban water body change
DOI: 10.6084/m9.figshare.19119755.v1
title: Data set_Driving force of urban water.xlsx

description: Panel data for evaluate urban water body change
DOI: 10.5281/zenodo.5967963
title: DENDRITIC CELL EFFECT TO cbavd

description: This is the statistic of test result
DOI: 10.5281/zenodo.5967962
title: DENDRITIC CELL EFFECT TO cbavd

description: This is the statistic of test result
DOI: 10.6084/m9.figshare.12916037
title: Datasets for Fukuma et al. Communications Biology

description: These files includes datasets used in Fukuma et al. "Voluntary control of semantic neural representations by imagery with conflicting visual stimulation." <i>Communications Biology</i>.
DOI: 10.5517/ccdc.csd.cc28hpn4
title: CCDC 2100456: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28hpwc
title: CCDC 2100463: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28h262
title: CCDC 2099853: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h273
title: CCDC 2099854: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h284
title: CCDC 2099855: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h295
title: CCDC 2099856: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h2b6
title: CCDC 2099857: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h2c7
title: CCDC 2099858: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h2d8
title: CCDC 2099859: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.5517/ccdc.csd.cc28h2f9
title: CCDC 2099860: Experimental Crystal Structure Determination

description: Related Article: Prem Lama, Ashutosh Rawat, Phumile Sikiti, Tapan K. Pal|2022|Inorg.Chem.|61|939|doi:10.1021/acs.inorgchem.1c02933
DOI: 10.6084/m9.figshare.19120349
title: Additional file 1 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 1. WGCNA module assignment for each gene. Each sheet provides module assignments for a particular tissue dataset.
DOI: 10.6084/m9.figshare.19120349.v1
title: Additional file 1 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 1. WGCNA module assignment for each gene. Each sheet provides module assignments for a particular tissue dataset.
DOI: 10.6084/m9.figshare.19120352
title: Additional file 2 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 2. ICA module assignment for each gene. Each sheet provides module assignments for a particular tissue dataset.
DOI: 10.6084/m9.figshare.19120352.v1
title: Additional file 2 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 2. ICA module assignment for each gene. Each sheet provides module assignments for a particular tissue dataset.
DOI: 10.6084/m9.figshare.19120355
title: Additional file 3 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 3. MEGENA module assignment for each gene. Each sheet provides module assignments for a particular tissue dataset.
DOI: 10.6084/m9.figshare.19120355.v1
title: Additional file 3 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 3. MEGENA module assignment for each gene. Each sheet provides module assignments for a particular tissue dataset.
DOI: 10.6084/m9.figshare.19120361
title: Additional file 5 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 5. Number of edges and nodes in each global co-expression network.
DOI: 10.6084/m9.figshare.19120361.v1
title: Additional file 5 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 5. Number of edges and nodes in each global co-expression network.
DOI: 10.6084/m9.figshare.19120364
title: Additional file 6 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 6. Positive control gene groups used for evaluation of RUVCorr parameters.
DOI: 10.6084/m9.figshare.19120364.v1
title: Additional file 6 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 6. Positive control gene groups used for evaluation of RUVCorr parameters.
DOI: 10.6084/m9.figshare.19120367
title: Additional file 7 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 7. Choice of power parameter for each WGCNA co-expression module search.
DOI: 10.6084/m9.figshare.19120367.v1
title: Additional file 7 of Comparison of confound adjustment methods in the construction of gene co-expression networks

description: Additional file 7. Choice of power parameter for each WGCNA co-expression module search.
DOI: 10.6084/m9.figshare.19120426
title: Additional file 3 of PΨFinder: a practical tool for the identification and visualization of novel pseudogenes in DNA sequencing data

description: Additional file 3: Tables S1–S5. Sequencing data summary statistics and output from PΨFinder of case samples, downsampled data and simulated data. Benchmarking results.
DOI: 10.6084/m9.figshare.19120426.v1
title: Additional file 3 of PΨFinder: a practical tool for the identification and visualization of novel pseudogenes in DNA sequencing data

description: Additional file 3: Tables S1–S5. Sequencing data summary statistics and output from PΨFinder of case samples, downsampled data and simulated data. Benchmarking results.
DOI: 10.6084/m9.figshare.19120436.v1
title: Additional file 1 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 1: Supplementary Figure 1. Association between yoghurt consumption and B. animalis subsp. lactis . A. Scatter plot of the correlation between B. animalis subsp. lactis and B. animalis subsp. animalis. B. Boxplot picturing the association between frequency of yoghurt consumption and B. animalis subsp. lactis. C. Boxplot picturing the association between frequency of yoghurt consumption and B. animalis subsp. animalis. Results were obtained from linear regression (lme4 package in R) including family structure as random effect and age, BMI and sex as fixed effects.
DOI: 10.6084/m9.figshare.19120436
title: Additional file 1 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 1: Supplementary Figure 1. Association between yoghurt consumption and B. animalis subsp. lactis . A. Scatter plot of the correlation between B. animalis subsp. lactis and B. animalis subsp. animalis. B. Boxplot picturing the association between frequency of yoghurt consumption and B. animalis subsp. lactis. C. Boxplot picturing the association between frequency of yoghurt consumption and B. animalis subsp. animalis. Results were obtained from linear regression (lme4 package in R) including family structure as random effect and age, BMI and sex as fixed effects.
DOI: 10.6084/m9.figshare.19120439
title: Additional file 2 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 2: Supplementary Table 1. Description of the LifeLines-DEEP cohort.
DOI: 10.6084/m9.figshare.19120439.v1
title: Additional file 2 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 2: Supplementary Table 1. Description of the LifeLines-DEEP cohort.
DOI: 10.6084/m9.figshare.19120442
title: Additional file 3 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 3: Supplementary Table 2. Association between yoghurt consumption gut microbiota alpha diversity. Results were obtained by fitting linear mixed effect model where alpha diversity metrics generated from 16S rRNA and shotgun metagenomics data from two cohort were used as a response to level of yoghurt consumption and BMI, sex and age, as well as HEI and family structure for TwinsUK only, were used as covariates.
DOI: 10.6084/m9.figshare.19120442.v1
title: Additional file 3 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 3: Supplementary Table 2. Association between yoghurt consumption gut microbiota alpha diversity. Results were obtained by fitting linear mixed effect model where alpha diversity metrics generated from 16S rRNA and shotgun metagenomics data from two cohort were used as a response to level of yoghurt consumption and BMI, sex and age, as well as HEI and family structure for TwinsUK only, were used as covariates.
DOI: 10.6084/m9.figshare.19120445
title: Additional file 4 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 4: Supplementary Table 3. Association between yoghurt consumption and taxa (16S rRNA sequencing). Results were obtained by fitting linear mixed effect model where taxa were used as a response to level of yoghurt consumption and BMI, sex, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120448
title: Additional file 5 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 5: Supplementary Table 4. Association between yoghurt consumption and gut microbiome species (shotgun metagenomics). Results were obtained by fitting linear mixed effect model where species were used as a response to level of yoghurt consumption and BMI, sex, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120448.v1
title: Additional file 5 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 5: Supplementary Table 4. Association between yoghurt consumption and gut microbiome species (shotgun metagenomics). Results were obtained by fitting linear mixed effect model where species were used as a response to level of yoghurt consumption and BMI, sex, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120454
title: Additional file 6 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 6: Supplementary Table 5. Association between dairy fermented bacterial species (B. animalis subsp. lactis and S. thermophilus) and blood and phenotypical parameters associated with yoghurt consumption. Results were obtained by fitting linear mixed effect model where phenotypes and blood parameters were used as a response to species levels and BMI, sex, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120445.v1
title: Additional file 4 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 4: Supplementary Table 3. Association between yoghurt consumption and taxa (16S rRNA sequencing). Results were obtained by fitting linear mixed effect model where taxa were used as a response to level of yoghurt consumption and BMI, sex, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120454.v1
title: Additional file 6 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 6: Supplementary Table 5. Association between dairy fermented bacterial species (B. animalis subsp. lactis and S. thermophilus) and blood and phenotypical parameters associated with yoghurt consumption. Results were obtained by fitting linear mixed effect model where phenotypes and blood parameters were used as a response to species levels and BMI, sex, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120457
title: Additional file 7 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 7: Supplementary Table 6. Association between yoghurt consumption and faecal metabolites. Results were obtained by fitting linear mixed effect model where metabolites were used as a response to level of yoghurt consumption and BMI, gender, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120457.v1
title: Additional file 7 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 7: Supplementary Table 6. Association between yoghurt consumption and faecal metabolites. Results were obtained by fitting linear mixed effect model where metabolites were used as a response to level of yoghurt consumption and BMI, gender, age, HEI and family structure were used as covariates.
DOI: 10.6084/m9.figshare.19120460
title: Additional file 8 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 8: Supplementary Table 7. Association between B. animalis subsp. lactis and faecal metabolites. Results were obtained by fitting linear mixed effect model where metabolites were used as a response to level of yoghurt consumption and BMI, gender, age, HEI and family structure were used as covariates. Only significant results (passing Bonferroni threshold P
DOI: 10.6084/m9.figshare.19120460.v1
title: Additional file 8 of Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

description: Additional file 8: Supplementary Table 7. Association between B. animalis subsp. lactis and faecal metabolites. Results were obtained by fitting linear mixed effect model where metabolites were used as a response to level of yoghurt consumption and BMI, gender, age, HEI and family structure were used as covariates. Only significant results (passing Bonferroni threshold P
DOI: 10.6084/m9.figshare.19120091.v1
title: unidades_educativas_bolivia

description: Datos de unidades educativas en Bolivia
DOI: 10.6084/m9.figshare.19120481
title: Additional file 10 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 10: Table S9. Genes contained in dynamic TAD-like structure boundaries.
DOI: 10.6084/m9.figshare.19120481.v1
title: Additional file 10 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 10: Table S9. Genes contained in dynamic TAD-like structure boundaries.
DOI: 10.6084/m9.figshare.19120484
title: Additional file 11 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 11: Table S10. Homoeologous TAD-like structures in fiber development.
DOI: 10.6084/m9.figshare.19120484.v1
title: Additional file 11 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 11: Table S10. Homoeologous TAD-like structures in fiber development.
DOI: 10.6084/m9.figshare.19120487
title: Additional file 12 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 12: Table S11. Partitioned TAD-like structures in fiber development.
DOI: 10.6084/m9.figshare.19120487.v1
title: Additional file 12 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 12: Table S11. Partitioned TAD-like structures in fiber development.
DOI: 10.6084/m9.figshare.19120493.v1
title: Additional file 14 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 14: Table S13. Conserved or differential TAD-like structure boundaries calculated by TADCompare.
DOI: 10.6084/m9.figshare.19120490
title: Additional file 13 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 13: Table S12. TAD-like structures that form cliques in fiber development.
DOI: 10.6084/m9.figshare.19120490.v1
title: Additional file 13 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 13: Table S12. TAD-like structures that form cliques in fiber development.
DOI: 10.6084/m9.figshare.19120499
title: Additional file 1 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 1: Table S1. Summary of RNA-seq and ChIP-seq raw data.
DOI: 10.6084/m9.figshare.19120493
title: Additional file 14 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 14: Table S13. Conserved or differential TAD-like structure boundaries calculated by TADCompare.
DOI: 10.6084/m9.figshare.19120499.v1
title: Additional file 1 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 1: Table S1. Summary of RNA-seq and ChIP-seq raw data.
DOI: 10.6084/m9.figshare.19120505
title: Additional file 3 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 3: Table S2. Summary of differentially expressed genes in fiber development.
DOI: 10.6084/m9.figshare.19120505.v1
title: Additional file 3 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 3: Table S2. Summary of differentially expressed genes in fiber development.
DOI: 10.6084/m9.figshare.19120508
title: Additional file 4 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 4: Table S3. Summary of homoeologous genes with expression bias in fiber development.
DOI: 10.6084/m9.figshare.19120508.v1
title: Additional file 4 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 4: Table S3. Summary of homoeologous genes with expression bias in fiber development.
DOI: 10.6084/m9.figshare.19120511
title: Additional file 5 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 5: Table S4. GO enrichment for different clusters.
DOI: 10.6084/m9.figshare.19120511.v1
title: Additional file 5 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 5: Table S4. GO enrichment for different clusters.
DOI: 10.6084/m9.figshare.19120517
title: Additional file 6 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 6: Table S5. Summary of Hi-C data in this study.
DOI: 10.6084/m9.figshare.19120520
title: Additional file 7 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 7: Table S6. Genes included in the compartment switching regions.
DOI: 10.6084/m9.figshare.19120517.v1
title: Additional file 6 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 6: Table S5. Summary of Hi-C data in this study.
DOI: 10.6084/m9.figshare.19120520.v1
title: Additional file 7 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 7: Table S6. Genes included in the compartment switching regions.
DOI: 10.6084/m9.figshare.19120523
title: Additional file 8 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 8: Table S7. The GO terms enriched by genes contained in the compartment switching regions.
DOI: 10.6084/m9.figshare.19120523.v1
title: Additional file 8 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 8: Table S7. The GO terms enriched by genes contained in the compartment switching regions.
DOI: 10.6084/m9.figshare.19120526
title: Additional file 9 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 9: Table S8. TAD-like structure regions during fiber development.
DOI: 10.6084/m9.figshare.19120526.v1
title: Additional file 9 of Dynamic 3D genome architecture of cotton fiber reveals subgenome-coordinated chromatin topology for 4-staged single-cell differentiation

description: Additional file 9: Table S8. TAD-like structure regions during fiber development.
DOI: 10.6084/m9.figshare.19120621
title: Additional file 4 of Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data

description: Additional file 4: Table 4. Symptom management interventions identified though card sort exercise.