cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13521270
title: Additional file 1 of Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual

description: Additional file 1: Supplementary Tables. Table S1. Cohort and study visit details (BMDCS). Table S2. Power calculations for heritability analyses. Table S3. Cross-sectional SNP-heritability. Table S4. Ancestry-specific sensitivity analyses. Table S5. Longitudinal SNP-heritability. Table S6. Genetic correlations (baseline). Table S7. Genetic correlations (longitudinal). Table S8. Association results by sex and ancestry. Table S9. Replication in ALSPAC. Table S10. Lookup in UK BioBank GWAS. Table S11. Fracture outcome lookup in PheWEB. Table S12. Topological Associated Domain (TAD) genes. Table S13. DAVID functional annotations for protein-coding TAD genes. Table S14. TAD pathways: GO terms. Table S15. TAD pathways: KEGG terms. Table S16. hMSC-derived osteoblast promoter-focused Capture C loops. Table S17. Pan-tissue eQTLs. Table S18. IL17 Th17 cell promoter-focused Capture C loops. Table S19. hMSC donor line information. Table S20. siRNA details. Table S21. RT-qPCR primers.
DOI: 10.6084/m9.figshare.13521270.v1
title: Additional file 1 of Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual

description: Additional file 1: Supplementary Tables. Table S1. Cohort and study visit details (BMDCS). Table S2. Power calculations for heritability analyses. Table S3. Cross-sectional SNP-heritability. Table S4. Ancestry-specific sensitivity analyses. Table S5. Longitudinal SNP-heritability. Table S6. Genetic correlations (baseline). Table S7. Genetic correlations (longitudinal). Table S8. Association results by sex and ancestry. Table S9. Replication in ALSPAC. Table S10. Lookup in UK BioBank GWAS. Table S11. Fracture outcome lookup in PheWEB. Table S12. Topological Associated Domain (TAD) genes. Table S13. DAVID functional annotations for protein-coding TAD genes. Table S14. TAD pathways: GO terms. Table S15. TAD pathways: KEGG terms. Table S16. hMSC-derived osteoblast promoter-focused Capture C loops. Table S17. Pan-tissue eQTLs. Table S18. IL17 Th17 cell promoter-focused Capture C loops. Table S19. hMSC donor line information. Table S20. siRNA details. Table S21. RT-qPCR primers.
DOI: 10.6084/m9.figshare.13521277
title: Additional file 3 of Magnetostratigraphic evidence for post-depositional distortion of osmium isotopic records in pelagic clay and its implications for mineral flux estimates

description: Additional file 3 GPTS correlation models. Possible correlations of paleomagnetic data to GPTS (Ogg, 2012).
DOI: 10.6084/m9.figshare.13521280.v1
title: Additional file 4 of Magnetostratigraphic evidence for post-depositional distortion of osmium isotopic records in pelagic clay and its implications for mineral flux estimates

description: Additional file 4 Cenozoic fish debris accumulation flux estimated for LL44-GPC3 in the central North Pacific. Fish debris accumulation rate estimates for LL44-GPC3. Data are from Kyte et al. (1993). P2O5 content was converted to fish debris content assuming that P2O5 is exclusively in fish debris at 30 wt.%.
DOI: 10.6084/m9.figshare.13521280
title: Additional file 4 of Magnetostratigraphic evidence for post-depositional distortion of osmium isotopic records in pelagic clay and its implications for mineral flux estimates

description: Additional file 4 Cenozoic fish debris accumulation flux estimated for LL44-GPC3 in the central North Pacific. Fish debris accumulation rate estimates for LL44-GPC3. Data are from Kyte et al. (1993). P2O5 content was converted to fish debris content assuming that P2O5 is exclusively in fish debris at 30 wt.%.
DOI: 10.6084/m9.figshare.11454096
title: Additional file 2 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 2: Table 2. Highly conserved, serotype-specific (HCSS) sequences
DOI: 10.6084/m9.figshare.13521277.v1
title: Additional file 3 of Magnetostratigraphic evidence for post-depositional distortion of osmium isotopic records in pelagic clay and its implications for mineral flux estimates

description: Additional file 3 GPTS correlation models. Possible correlations of paleomagnetic data to GPTS (Ogg, 2012).
DOI: 10.6084/m9.figshare.11454111
title: Additional file 4 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 4: Table 4. Nonamer positions depicting amino acid differences between an HCSS nonamer and the corresponding variants, within and between the serotypes. Only positions of mutual information value of 1 and low entropy values are shown. HCSS nonamers are shown in yellow, and one is arbitrarily chosen as the reference when more than one corresponding HCSS nonamers are present. A) The variant amino acids are not shown, instead the number of such variants and the number of amino acid differences are indicated. B) All the variants and the amino acid differences are shown.
DOI: 10.6084/m9.figshare.11454111.v1
title: Additional file 4 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 4: Table 4. Nonamer positions depicting amino acid differences between an HCSS nonamer and the corresponding variants, within and between the serotypes. Only positions of mutual information value of 1 and low entropy values are shown. HCSS nonamers are shown in yellow, and one is arbitrarily chosen as the reference when more than one corresponding HCSS nonamers are present. A) The variant amino acids are not shown, instead the number of such variants and the number of amino acid differences are indicated. B) All the variants and the amino acid differences are shown.
DOI: 10.6084/m9.figshare.11454126
title: Additional file 6 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 6: Table 6. HLA-A, -B and -DR supertype-restricted T-cell epitopes, predicted for HCSS nonamers, summarised according to DENV protein and serotypes
DOI: 10.6084/m9.figshare.11454087
title: Additional file 1 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 1: Table 1. Comparison of intra- and inter-serotype entropy values between the 2005 (Khan et al., 2008) and 2018 datasets (this study).
DOI: 10.6084/m9.figshare.11454105.v1
title: Additional file 3 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 3: Table 3. Highly conserved, serotype-specific (HCSS) sequences that corresponded across the four serotypes
DOI: 10.6084/m9.figshare.11454087.v1
title: Additional file 1 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 1: Table 1. Comparison of intra- and inter-serotype entropy values between the 2005 (Khan et al., 2008) and 2018 datasets (this study).
DOI: 10.6084/m9.figshare.11454096.v1
title: Additional file 2 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 2: Table 2. Highly conserved, serotype-specific (HCSS) sequences
DOI: 10.6084/m9.figshare.11454129.v1
title: Additional file 7 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 7: Table 7. IEDB reported DENV T cell epitopes/ligands in human that completely matched HCSS sequences
DOI: 10.6084/m9.figshare.11454120
title: Additional file 5 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 5: Table 5. Functional analysis of the highly conserved, serotype specific (HCSS) sequences by use of Pfam (supporting ID in column F) and the Conserved Domains Database (CDD; supporting ID in column E). Sequences without reported functional correlations are denoted with '-'. Sequences with two different functional domains and motifs from Pfam and CDD are denoted with * and #, respectively (column D).
DOI: 10.6084/m9.figshare.11454120.v1
title: Additional file 5 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 5: Table 5. Functional analysis of the highly conserved, serotype specific (HCSS) sequences by use of Pfam (supporting ID in column F) and the Conserved Domains Database (CDD; supporting ID in column E). Sequences without reported functional correlations are denoted with '-'. Sequences with two different functional domains and motifs from Pfam and CDD are denoted with * and #, respectively (column D).
DOI: 10.6084/m9.figshare.11454132
title: Additional file 8 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 8: Table 8. Reported epitopes that matched predicted epitopes of HCSS sequences
DOI: 10.6084/m9.figshare.11454132.v1
title: Additional file 8 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 8: Table 8. Reported epitopes that matched predicted epitopes of HCSS sequences
DOI: 10.6084/m9.figshare.11454126.v1
title: Additional file 6 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 6: Table 6. HLA-A, -B and -DR supertype-restricted T-cell epitopes, predicted for HCSS nonamers, summarised according to DENV protein and serotypes
DOI: 10.6084/m9.figshare.11454105
title: Additional file 3 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 3: Table 3. Highly conserved, serotype-specific (HCSS) sequences that corresponded across the four serotypes
DOI: 10.6084/m9.figshare.11454129
title: Additional file 7 of Identification of highly conserved, serotype-specific dengue virus sequences: implications for vaccine design

description: Additional file 7: Table 7. IEDB reported DENV T cell epitopes/ligands in human that completely matched HCSS sequences
DOI: 10.6084/m9.figshare.13521099
title: Additional file 1 of Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles

description: Additional file 1: Table S1: Sample demographic information for the discovery and replication samples and the individual APOE genotype groups within the discovery sample. Table S2. Differentially methylated positions (DMPs) showing replicated association with APOE ε4 vs. ε2 carrier status and sensitivity analyses results. Table S3. Pairwise comparison of DNA methylation levels between APOE genotypes for each of the 20 CpGs identified as being a DMP in the meta-analysis of the discovery and replication samples. Table S4. Gene ontology (GO) terms showing significant enrichment (P ≤ 2.21 × 10−6) for the CpG sites identified as showing suggestive (P ≤ 1 × 10−5) association with APOE ε4 vs. ε2 carrier status through DMP analysis or which contributed to a significant DMR. Table S5. Assessment of total, HDL or non-HDL cholesterol as potential mediators of APOE ε4 vs. ε2 carrier status on methylation. Table S6. meQTLs for the APOE ε4 vs. ε2-associated DMPs and DMR sites. Table S7. meQTLs for APOE ε4 vs. ε2-associated DMPs and DMR sites grouped by genomic region. Table S8. GWAS catalogue entries for the meQTLs associated with the APOE ε4 vs. ε2-associated DMPs and DMR sites.
DOI: 10.12760/03-2014-27
title: UAV based very-high-resolution imaging on Barton Peninsula Antarctica.

description: UAV (unmanned aerial vehicle) capable of shooting in low-altitude with
an advantage of taking a high-resolution is economical and accessible way of obtaining
images compared to satellite and conventional aerial photography. In
this study, UAV imaging was performed to obtain very-high-resolution images in
restrictive environment of Antarctic in Jan 2014. The target area was nearby the
King Sejong station located in Barton Peninsula, Antarctica. The UAV was
equipped with GPS/INS and IMU, and Canon EOS 5D Mark III camera. Flights
considering unexpected weather condition of Antarctica were planned with combination
of 22 courses, flight altitude of 100 m, forward overlap of 70% and lateral
overlap of 30%. As flight results, about 1,500 images of spatial resolution of
about 2 cm were obtained with location and attitude information. In preprocessing
steps, brightness adjustment and geometric correction were performed to produce
orthoimages. Mosaicked orthoimages was produced with an extent of about
3.1 km2 around the King Sejong station. Quality of the mosaicked image was
evaluated by overlapping 1/5,000 digital topographic map and KOMPSAT-2 satellite
images of 1 m spatial resolution.
DOI: 10.6084/m9.figshare.13521058
title: Additional file 1 of Susceptibility to the novel coronavirus disease (COVID-19) is associated with ABO and Rh blood groups: a case-control study from Afghanistan

description: Additional file 1.
DOI: 10.6084/m9.figshare.13521049
title: Additional file 5 of Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions

description: Additional file 5: Table S3. Putative regulatory SNPs (rSNPs) located upstream of interesting genes.
DOI: 10.6084/m9.figshare.13521046
title: Additional file 4 of Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions

description: Additional file 4: Table S2. Description of the intervals identified as selective sweeps between Cuban and French Charolais.
DOI: 10.6084/m9.figshare.13521037
title: Additional file 1 of Whole-genome sequencing reveals insights into the adaptation of French Charolais cattle to Cuban tropical conditions

description: Additional file 1: Table S1. Description of the samples included in this study.
DOI: 10.6084/m9.figshare.13520943
title: Additional file 9 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 9: Table S9. The number of somatic mutations in clinical samples.
DOI: 10.6084/m9.figshare.13520940
title: Additional file 8 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 8: Table S8. The number of aberrant splice isoforms in clinical samples.
DOI: 10.6084/m9.figshare.13520937
title: Additional file 7 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 7: Table S7. General statistics of nanopore sequencing in clinical samples.
DOI: 10.6084/m9.figshare.13520934
title: Additional file 6 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 6: Table S6. Clinical information on clinical samples.
DOI: 10.6084/m9.figshare.13520931
title: Additional file 5 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 5: Table S5. The neoantigen candidates derived from isoforms detected by proteome analysis.
DOI: 10.6084/m9.figshare.13520928
title: Additional file 4 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 4: Table S4. The number of somatic mutations in NSCLC cell lines.
DOI: 10.6084/m9.figshare.13520925
title: Additional file 3 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 3: Table S3. The number of aberrant splice isoforms in NSCLC cell lines.
DOI: 10.6084/m9.figshare.13520922
title: Additional file 2 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 2: Table S2. General statistics of nanopore sequencing in NSCLC cell lines.
DOI: 10.6084/m9.figshare.13520919
title: Additional file 1 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 1: Table S1. General information on NSCLC cell lines.
DOI: 10.6084/m9.figshare.13520913
title: Additional file 14 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 14. Aberrant splicing isoform dataset of clinical specimens (gtf). The full-length structures of isoforms detected in our dataset of clinical specimens.
DOI: 10.6084/m9.figshare.13520910
title: Additional file 13 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 13. Aberrant splicing isoform dataset of cell lines (gtf). The full-length structures of isoforms detected in our dataset of cell lines.
DOI: 10.6084/m9.figshare.13520904
title: Additional file 11 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 11: Table S11. Primers used for RT-PCR analysis.
DOI: 10.6084/m9.figshare.13520901
title: Additional file 10 of Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

description: Additional file 10: Table S10. siRNA used for knockdown experiments in A549.
DOI: 10.6084/m9.figshare.13520898
title: Additional file 9 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 9: Table S9. ROH island regions (bins of one Mb) for the studied horse populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).
DOI: 10.6084/m9.figshare.13520895
title: Additional file 8 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 8: Table S8. ROH island regions (bins of one Mb) for the studied goat populations: details per chromosome. Within the Excel file, there is one tab for each chromosome with ROH island details per population. Cells are marked with an ‘x’ if an ROH island appeared in the specific region.
DOI: 10.6084/m9.figshare.13520892
title: Additional file 7 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 7: Table S7. ROH island regions (bins of one Mb) for the studied goat populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).
DOI: 10.6084/m9.figshare.13520889
title: Additional file 6 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 6: Table S6. ROH island regions (bins of one Mb) for the studied dog populations: details per chromosome. Within the Excel file, there is one tab for each chromosome with ROH island details per population. Cells are marked with an ‘x’ if an ROH island appeared in the specific region.
DOI: 10.6084/m9.figshare.13520886
title: Additional file 5 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 5: Table S5. ROH island regions (bins of one Mb) for the studied dog populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).
DOI: 10.6084/m9.figshare.13520883
title: Additional file 4 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 4: Table S4. ROH island regions (bins of one Mb) for the studied cattle populations: details per chromosome. Within the Excel file, there is one tab for each chromosome with ROH island details per population. Cells are marked with an ‘x’ if an ROH island appeared in the specific region.
DOI: 10.6084/m9.figshare.13520880
title: Additional file 3 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 3: Table S3. ROH island regions (bins of one Mb) for the studied cattle populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).
DOI: 10.6084/m9.figshare.13520877
title: Additional file 2 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 2: Table S2. ROH island regions (bins of one Mb) for the studied cat populations: details per chromosome. Within the Excel file, there is one tab for each chromosome with ROH island details per population. Cells are marked with an ‘x’ if an ROH island appeared in the specific region.
DOI: 10.6084/m9.figshare.13520874
title: Additional file 1 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 1: Table S1. ROH island regions (bins of one Mb) for the studied cat populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).
DOI: 10.6084/m9.figshare.13520871
title: Additional file 16 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 16: Table S16. ROH island regions (bins of one Mb) for the studied water buffalo populations: details per chromosome. Within the Excel file, there is one tab for each chromosome with ROH island details per population. Cells are marked with an ‘x’ if an ROH island appeared in the specific region.
DOI: 10.6084/m9.figshare.13520868
title: Additional file 15 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 15: Table S15. ROH island regions (bins of one Mb) for the studied water buffalo populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).
DOI: 10.6084/m9.figshare.13520865
title: Additional file 14 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 14: Table S14. ROH island regions (bins of one Mb) for the studied sheep populations: details per chromosome. Within the Excel file, there is one tab for each chromosome with ROH island details per population. Cells are marked with an ‘x’ if an ROH island appeared in the specific region.
DOI: 10.6084/m9.figshare.13520862
title: Additional file 13 of A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species

description: Additional file 13: Table S13. ROH island regions (bins of one Mb) for the studied sheep populations: overview for all chromosomes. Within each cell, the genomic region(s) with an ROH island are given (in Mb).