cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/7p3j-ck49
title: An Interesting Observation E

description: This dataset is in support of my claim to new observation on " " submitted to IEEE Transactions on Circuits and Systems IAn Interesting Observation E
DOI: 10.6084/m9.figshare.6612725
title: matlab code from An elliptical liquid inclusion in an infinite elastic plane

description: code to get the numerical results
DOI: 10.6084/m9.figshare.6612725.v1
title: matlab code from An elliptical liquid inclusion in an infinite elastic plane

description: code to get the numerical results
DOI: 10.6084/m9.figshare.12891139.v1
title: Additional file 1 of A renewed call for transdisciplinary action on NCDs

description: Additional file 1.
DOI: 10.6084/m9.figshare.12891139
title: Additional file 1 of A renewed call for transdisciplinary action on NCDs

description: Additional file 1.
DOI: 10.6084/m9.figshare.12891186
title: Additional file 1 of Low pathogenic avian influenza virus isolates with different levels of defective genome segments vary in pathogenicity and transmission efficiency

description: Additional file 1. Frequency of variants found in viral populations of virus stocks and swabs collected from infected turkeys and results of quantitative analysis of virus shedding.
DOI: 10.6084/m9.figshare.12891186.v1
title: Additional file 1 of Low pathogenic avian influenza virus isolates with different levels of defective genome segments vary in pathogenicity and transmission efficiency

description: Additional file 1. Frequency of variants found in viral populations of virus stocks and swabs collected from infected turkeys and results of quantitative analysis of virus shedding.
DOI: 10.6084/m9.figshare.12891262
title: Additional file 1 of Machine learning based refined differential gene expression analysis of pediatric sepsis

description: Additional file 1. Supplementary Tables S1-S4.
DOI: 10.6084/m9.figshare.12891262.v1
title: Additional file 1 of Machine learning based refined differential gene expression analysis of pediatric sepsis

description: Additional file 1. Supplementary Tables S1-S4.
DOI: 10.6084/m9.figshare.12891274.v1
title: Additional file 1 of Comprehensive analysis of diverse low-grade neuroepithelial tumors with FGFR1 alterations reveals a distinct molecular signature of rosette-forming glioneuronal tumor

description: Additional file 1: Tables S1–S6.
DOI: 10.6084/m9.figshare.12891285.v1
title: Additional file 3 of Initial evaluation of (4S)-4-(3-[18F]fluoropropyl)-l-glutamate (FSPG) PET/CT imaging in patients with head and neck cancer, colorectal cancer, or non-Hodgkin lymphoma

description: Additional file 3: Supplementary Figure 2. Time-activity curves across all 7 imaging time-points for all subjects for each of the 3 cancer indications, head and neck cancer (A), colorectal cancer (B), and non-Hodgkin lymphoma (C). The values shown are mean ± standard deviation. In each case, the primary tumor and metastases are shown, as well as the blood pool (aorta) and other background regions as appropriate (i.e., brain for head and neck cancer, and liver for colorectal cancer).
DOI: 10.6084/m9.figshare.12891274
title: Additional file 1 of Comprehensive analysis of diverse low-grade neuroepithelial tumors with FGFR1 alterations reveals a distinct molecular signature of rosette-forming glioneuronal tumor

description: Additional file 1: Tables S1–S6.
DOI: 10.6084/m9.figshare.12891285
title: Additional file 3 of Initial evaluation of (4S)-4-(3-[18F]fluoropropyl)-l-glutamate (FSPG) PET/CT imaging in patients with head and neck cancer, colorectal cancer, or non-Hodgkin lymphoma

description: Additional file 3: Supplementary Figure 2. Time-activity curves across all 7 imaging time-points for all subjects for each of the 3 cancer indications, head and neck cancer (A), colorectal cancer (B), and non-Hodgkin lymphoma (C). The values shown are mean ± standard deviation. In each case, the primary tumor and metastases are shown, as well as the blood pool (aorta) and other background regions as appropriate (i.e., brain for head and neck cancer, and liver for colorectal cancer).
DOI: 10.6084/m9.figshare.12891301.v1
title: Additional file 4 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 4: Supplementary Table S2a. Reproducibility test. Supplementary Table S2b. Reproducibility test restricted to randomised CpGs.
DOI: 10.6084/m9.figshare.12891307
title: Additional file 6 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 6: Supplementary Table S4. groupAB_GE
DOI: 10.6084/m9.figshare.12891307.v1
title: Additional file 6 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 6: Supplementary Table S4. groupAB_GE
DOI: 10.6084/m9.figshare.12891313.v1
title: Additional file 7 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 7: Supplementary Table S5. WBC fractions
DOI: 10.6084/m9.figshare.12891316
title: Additional file 8 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 8: Supplementary Table S6. Coord blood
DOI: 10.6084/m9.figshare.12891316.v1
title: Additional file 8 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 8: Supplementary Table S6. Coord blood
DOI: 10.6084/m9.figshare.12891301
title: Additional file 4 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 4: Supplementary Table S2a. Reproducibility test. Supplementary Table S2b. Reproducibility test restricted to randomised CpGs.
DOI: 10.6084/m9.figshare.12891319.v1
title: Additional file 9 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 9: Supplementary Table S7. EPIC
DOI: 10.6084/m9.figshare.12891313
title: Additional file 7 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 7: Supplementary Table S5. WBC fractions
DOI: 10.6084/m9.figshare.12891319
title: Additional file 9 of Assessment of tumor suppressor promoter methylation in healthy individuals

description: Additional file 9: Supplementary Table S7. EPIC
DOI: 10.6084/m9.figshare.12891331
title: Additional file 2 of Humic-acid-driven escape from eye parasites revealed by RNA-seq and target-specific metabarcoding

description: Additional file 2: Table S1. Sampling location, year, number of samples for RNA-seq NGS, number of samples for parasite screening. Table S2. Samples, location, Illumina reads statistics and the main parasite OTUs as revealed by Kraken and RDP. Table S3. RNA-seq mapping statistics. Table S4. List of 265 differentially expressed genes in perch identified by RNA-seq (Padj &lt; 0.05), sorted by log2 fold change. Table S5. List of gene ontology (GO) terms with significant (FDR ≤ 0.05) enrichment among the differentially expressed genes. Table S6. Absorbance ratios, specific ultraviolet absorbance and specific colour absorbance for studied lakes.
DOI: 10.6084/m9.figshare.12891331.v1
title: Additional file 2 of Humic-acid-driven escape from eye parasites revealed by RNA-seq and target-specific metabarcoding

description: Additional file 2: Table S1. Sampling location, year, number of samples for RNA-seq NGS, number of samples for parasite screening. Table S2. Samples, location, Illumina reads statistics and the main parasite OTUs as revealed by Kraken and RDP. Table S3. RNA-seq mapping statistics. Table S4. List of 265 differentially expressed genes in perch identified by RNA-seq (Padj &lt; 0.05), sorted by log2 fold change. Table S5. List of gene ontology (GO) terms with significant (FDR ≤ 0.05) enrichment among the differentially expressed genes. Table S6. Absorbance ratios, specific ultraviolet absorbance and specific colour absorbance for studied lakes.
DOI: 10.6084/m9.figshare.12891394.v1
title: Additional file 1 of Interleukin-8 is not a predictive biomarker for the development of the acute promyelocytic leukemia differentiation syndrome

description: Additional file 1. Clinical characteristics, laboratory results, and IL-6 and IL-8 levels in APL patients at D0 and during the days of treatment with ATRA and anthracyclines (D3 and D7).
DOI: 10.6084/m9.figshare.12891394
title: Additional file 1 of Interleukin-8 is not a predictive biomarker for the development of the acute promyelocytic leukemia differentiation syndrome

description: Additional file 1. Clinical characteristics, laboratory results, and IL-6 and IL-8 levels in APL patients at D0 and during the days of treatment with ATRA and anthracyclines (D3 and D7).
DOI: 10.6084/m9.figshare.12891427.v1
title: Additional file 1 of Dynamics behind disjunct distribution, hotspot-edge refugia, and discordant RADseq/mtDNA variability: insights from the Emei mustache toad

description: Additional file 1: Table S1. Sample information and haplotype designation. (XLS 87 kb)
DOI: 10.6084/m9.figshare.12891427
title: Additional file 1 of Dynamics behind disjunct distribution, hotspot-edge refugia, and discordant RADseq/mtDNA variability: insights from the Emei mustache toad

description: Additional file 1: Table S1. Sample information and haplotype designation. (XLS 87 kb)
DOI: 10.6084/m9.figshare.12891469.v1
title: Additional file 7 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 7 Kraken 2 Per Read Sensitivity and Precision.
DOI: 10.6084/m9.figshare.12891457.v1
title: Additional file 4 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 4 Soil Genus Read Counts – True v Kraken v Bracken v QIIME.
DOI: 10.6084/m9.figshare.12891451
title: Additional file 2 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 2 Human Genus Read Counts – True v Kraken v Bracken v QIIME.
DOI: 10.6084/m9.figshare.12891463
title: Additional file 5 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 5 MAPE and Bray-Curtis Dissimilarities.
DOI: 10.6084/m9.figshare.12891463.v1
title: Additional file 5 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 5 MAPE and Bray-Curtis Dissimilarities.
DOI: 10.6084/m9.figshare.12891451.v1
title: Additional file 2 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 2 Human Genus Read Counts – True v Kraken v Bracken v QIIME.
DOI: 10.6084/m9.figshare.12891466.v1
title: Additional file 6 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 6 16S rRNA Database Inconsistencies.
DOI: 10.6084/m9.figshare.12891466
title: Additional file 6 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 6 16S rRNA Database Inconsistencies.
DOI: 10.6084/m9.figshare.12891454
title: Additional file 3 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 3 Ocean Genus Read Counts – True v Kraken v Bracken v QIIME.
DOI: 10.6084/m9.figshare.12891462.v1
title: Additional file 10 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 10: Table S10. Genes that associate with at least 10 target CpGs and the number of positive and negative associations for each gene (significance level from binomial test).
DOI: 10.6084/m9.figshare.12891465.v1
title: Additional file 11 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 11: Table S11. GO molecular functions terms (DAVID).
DOI: 10.6084/m9.figshare.12891465
title: Additional file 11 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 11: Table S11. GO molecular functions terms (DAVID).
DOI: 10.6084/m9.figshare.12891474.v1
title: Additional file 13 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 13: Table S13. Significant overlap between target CpGs and trait-associated CpGs (EWASdb, Liu et al.).
DOI: 10.6084/m9.figshare.12891454.v1
title: Additional file 3 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 3 Ocean Genus Read Counts – True v Kraken v Bracken v QIIME.
DOI: 10.6084/m9.figshare.12891462
title: Additional file 10 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 10: Table S10. Genes that associate with at least 10 target CpGs and the number of positive and negative associations for each gene (significance level from binomial test).
DOI: 10.6084/m9.figshare.12891471.v1
title: Additional file 12 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 12: Table S12. Transcription factor binding site enrichments, includes the overlap between target CpGs and ChIP-seq peaks for each experiment, the overlap between the background regions and the ChIP-seq peaks, and the enrichment statistics (Fisher’s exact test).
DOI: 10.6084/m9.figshare.12891474
title: Additional file 13 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 13: Table S13. Significant overlap between target CpGs and trait-associated CpGs (EWASdb, Liu et al.).
DOI: 10.6084/m9.figshare.12891477
title: Additional file 14 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 14: Table S14. Significant associations between the DNA methylation levels of NLRC5 target CpGs and the expression of nearby genes (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891457
title: Additional file 4 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 4 Soil Genus Read Counts – True v Kraken v Bracken v QIIME.
DOI: 10.6084/m9.figshare.12891469
title: Additional file 7 of Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2

description: Additional file 7 Kraken 2 Per Read Sensitivity and Precision.
DOI: 10.6084/m9.figshare.12891507.v1
title: Additional file 5 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 5: Table S4. Associations between GIs and trans CpGs that remained significant (P &lt; 1.4 x 10-11) after taking LD/pleiotropy among neighboring genes into account and that were insensitive to additional tests of the underlying assumptions of the analyses. This is the final dataset that was used for further analyses.
DOI: 10.6084/m9.figshare.12891513
title: Additional file 7 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 7: Table S7. Target CpGs that overlap with trans-meQTL CpGs identified by Lemire et al.
DOI: 10.6084/m9.figshare.12891480.v1
title: Additional file 15 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 15: Table S15. Significant associations between the GI corresponding to NLRC5 and the expression of genes near its target CpGs (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891477.v1
title: Additional file 14 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 14: Table S14. Significant associations between the DNA methylation levels of NLRC5 target CpGs and the expression of nearby genes (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891483.v1
title: Additional file 16 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 16: Table S16. Significant associations between the DNA methylation levels of SENP7 target CpGs and the expression of nearby genes (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891486.v1
title: Additional file 17 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 17: Table S17. Significant associations between the GI corresponding to SENP7 and the expression of genes near its target CpGs (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891516.v1
title: Additional file 8 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 8: Table S8. Target CpGs that overlap with trans-meQTL CpGs identified by Gaunt et al.
DOI: 10.6084/m9.figshare.12891471
title: Additional file 12 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 12: Table S12. Transcription factor binding site enrichments, includes the overlap between target CpGs and ChIP-seq peaks for each experiment, the overlap between the background regions and the ChIP-seq peaks, and the enrichment statistics (Fisher’s exact test).
DOI: 10.6084/m9.figshare.12891507
title: Additional file 5 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 5: Table S4. Associations between GIs and trans CpGs that remained significant (P &lt; 1.4 x 10-11) after taking LD/pleiotropy among neighboring genes into account and that were insensitive to additional tests of the underlying assumptions of the analyses. This is the final dataset that was used for further analyses.
DOI: 10.6084/m9.figshare.12891519
title: Additional file 9 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 9: Table S9. Target CpGs that overlap with trans-meQTL CpGs identified by Huan et al.
DOI: 10.6084/m9.figshare.12891495.v1
title: Additional file 1 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 1: Table S1. The genetic instruments (GIs) and their predictive power as measured by the F-statistic and partial R2. This table also includes the power to detect various effect sizes for both the uncorrected and corrected analysis (for neighboring GIs).
DOI: 10.6084/m9.figshare.12891501
title: Additional file 3 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 3: Table S3. Associations between GIs and trans CpGs that remained significant (P &lt; 1.4 x 10-11) after taking LD/pleiotropy among neighboring genes into account.
DOI: 10.6084/m9.figshare.12891483
title: Additional file 16 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 16: Table S16. Significant associations between the DNA methylation levels of SENP7 target CpGs and the expression of nearby genes (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891486
title: Additional file 17 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 17: Table S17. Significant associations between the GI corresponding to SENP7 and the expression of genes near its target CpGs (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891498.v1
title: Additional file 2 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 2: Table S2. Significant associations (P &lt; 1.4 x 10-11) between GIs and trans CpGs, without taking LD/pleiotropy among neighboring genes into account.
DOI: 10.6084/m9.figshare.12891513.v1
title: Additional file 7 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 7: Table S7. Target CpGs that overlap with trans-meQTL CpGs identified by Lemire et al.
DOI: 10.6084/m9.figshare.12891480
title: Additional file 15 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 15: Table S15. Significant associations between the GI corresponding to NLRC5 and the expression of genes near its target CpGs (&lt;250Kb).
DOI: 10.6084/m9.figshare.12891501.v1
title: Additional file 3 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 3: Table S3. Associations between GIs and trans CpGs that remained significant (P &lt; 1.4 x 10-11) after taking LD/pleiotropy among neighboring genes into account.
DOI: 10.6084/m9.figshare.12891510
title: Additional file 6 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 6: Table S5. The 818 identified genes, their classification (TF/EpiFactor/Other), and for each gene the number of positive/negative associations, the number of regions affected (consisting of consecutive probes within &lt;1Kb) and the number of regions of various sizes affected.
DOI: 10.6084/m9.figshare.12891516
title: Additional file 8 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 8: Table S8. Target CpGs that overlap with trans-meQTL CpGs identified by Gaunt et al.
DOI: 10.6084/m9.figshare.12891489
title: Additional file 18 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 18: Table S18. OMIM phenotypes linked to the identified genes.
DOI: 10.6084/m9.figshare.12891498
title: Additional file 2 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 2: Table S2. Significant associations (P &lt; 1.4 x 10-11) between GIs and trans CpGs, without taking LD/pleiotropy among neighboring genes into account.
DOI: 10.6084/m9.figshare.12891510.v1
title: Additional file 6 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 6: Table S5. The 818 identified genes, their classification (TF/EpiFactor/Other), and for each gene the number of positive/negative associations, the number of regions affected (consisting of consecutive probes within &lt;1Kb) and the number of regions of various sizes affected.
DOI: 10.6084/m9.figshare.12891489.v1
title: Additional file 18 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 18: Table S18. OMIM phenotypes linked to the identified genes.
DOI: 10.6084/m9.figshare.12891519.v1
title: Additional file 9 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

description: Additional file 9: Table S9. Target CpGs that overlap with trans-meQTL CpGs identified by Huan et al.
DOI: 10.6084/m9.figshare.12891525.v1
title: Additional file 2 of Inference about time-dependent prognostic accuracy measures in the presence of competing risks

description: This file includes the computer code (written in R programming language) for estimating cause-specific AUC (t) using cWMR and cFPL estimators.