cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19518255
title: Additional file 1 of Inter-species geographic signatures for tracing horizontal gene transfer and long-term persistence of carbapenem resistance

description: Additional file 1: Table S1. Overview of isolates in our dataset. Table S2. Genome assembly statistics. Table S3. Accessions for Illumina-ONT hybrid assemblies. Table S4. Disruptions in OmpF/OmpK35 porin gene. Table S5. Disruptions in OmpC/OmpK36 porin gene. Table S6. Genomic location of resistance genes. Table S7. List of genes identified as ESBL or AmpC. Table S8. Read-based identification of carbapenemases in resistant isolates for which no resistance mechanism was found in the assemblies. Table S9. Size of species-specific core-genome alignments. Table S10. 44 multi-species geographic signatures found in a single city. Table S11. Functional annotation of genes present in 44 signatures. Table S12. Prevalence of functional categories across the 44 signatures. Table S13. Differences in the core genome between same-species isolates from the same patient. Table S14. Carbapenemase carrying isolates. Table S15. Cluster of related Klebsiella pneumoniae isolates with double-porin mutations. Table S16. Pairs of closely-related CSE and CRE isolates, where the CRE carried a carbapenemase not found in the CSE. Table S17. Identification of circular plasmids (&gt;2 kb). Table S18. MOB-suite plasmid group predictions. Table S19. Isolates which carry a blaKPC-containing signature. Table S20. Genomic background of instances of Sig5.1-CP and Sig5.6-CP.
DOI: 10.6084/m9.figshare.19518255.v1
title: Additional file 1 of Inter-species geographic signatures for tracing horizontal gene transfer and long-term persistence of carbapenem resistance

description: Additional file 1: Table S1. Overview of isolates in our dataset. Table S2. Genome assembly statistics. Table S3. Accessions for Illumina-ONT hybrid assemblies. Table S4. Disruptions in OmpF/OmpK35 porin gene. Table S5. Disruptions in OmpC/OmpK36 porin gene. Table S6. Genomic location of resistance genes. Table S7. List of genes identified as ESBL or AmpC. Table S8. Read-based identification of carbapenemases in resistant isolates for which no resistance mechanism was found in the assemblies. Table S9. Size of species-specific core-genome alignments. Table S10. 44 multi-species geographic signatures found in a single city. Table S11. Functional annotation of genes present in 44 signatures. Table S12. Prevalence of functional categories across the 44 signatures. Table S13. Differences in the core genome between same-species isolates from the same patient. Table S14. Carbapenemase carrying isolates. Table S15. Cluster of related Klebsiella pneumoniae isolates with double-porin mutations. Table S16. Pairs of closely-related CSE and CRE isolates, where the CRE carried a carbapenemase not found in the CSE. Table S17. Identification of circular plasmids (&gt;2 kb). Table S18. MOB-suite plasmid group predictions. Table S19. Isolates which carry a blaKPC-containing signature. Table S20. Genomic background of instances of Sig5.1-CP and Sig5.6-CP.
DOI: 10.6084/m9.figshare.19518254
title: Additional file 1 of Downregulation of KRAB zinc finger proteins in 5-fluorouracil resistant colorectal cancer cells

description: Additional file 1.
DOI: 10.6084/m9.figshare.19518254.v1
title: Additional file 1 of Downregulation of KRAB zinc finger proteins in 5-fluorouracil resistant colorectal cancer cells

description: Additional file 1.
DOI: 10.6084/m9.figshare.19518270
title: Additional file 2 of Olfactory receptor 78 is expressed in hypothalamic vasopressin/oxytocin neurons, parenchymal microglia and choroidal macrophages in mice

description: Additional file 2. Datasheet containing the raw data presented in this study.
DOI: 10.6084/m9.figshare.19518270.v1
title: Additional file 2 of Olfactory receptor 78 is expressed in hypothalamic vasopressin/oxytocin neurons, parenchymal microglia and choroidal macrophages in mice

description: Additional file 2. Datasheet containing the raw data presented in this study.
DOI: 10.6084/m9.figshare.19518287
title: Additional file 3 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 3: Fig. S2. Additional cine images showing Lumentin 44 in axial and coronal planes.
DOI: 10.6084/m9.figshare.19518287.v1
title: Additional file 3 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 3: Fig. S2. Additional cine images showing Lumentin 44 in axial and coronal planes.
DOI: 10.6084/m9.figshare.19518290
title: Additional file 4 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 4: Fig. S3. Additional cine images showing Omnipaque in axial and coronal planes.
DOI: 10.6084/m9.figshare.19518290.v1
title: Additional file 4 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 4: Fig. S3. Additional cine images showing Omnipaque in axial and coronal planes.
DOI: 10.6084/m9.figshare.19518293.v1
title: Additional file 5 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 5: Fig. S4. Additional cine images showing MoviPrep in axial and coronal planes.
DOI: 10.6084/m9.figshare.19518299
title: Additional file 6 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 6: Fig. S5. An image from the Lumentin 44 group visualising the vasculature using maximum intensity projection and corresponding image from the Omnipaque group showing the positive contrast to conceal much of the vasculature.
DOI: 10.6084/m9.figshare.19518293
title: Additional file 5 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 5: Fig. S4. Additional cine images showing MoviPrep in axial and coronal planes.
DOI: 10.6084/m9.figshare.19518299.v1
title: Additional file 6 of A novel food-based negative oral contrast agent compared with two conventional oral contrast agents in abdominal CT: a three-arm parallel blinded randomised controlled single-centre trial

description: Additional file 6: Fig. S5. An image from the Lumentin 44 group visualising the vasculature using maximum intensity projection and corresponding image from the Omnipaque group showing the positive contrast to conceal much of the vasculature.
DOI: 10.6084/m9.figshare.19518294
title: Additional file 2 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 2.
DOI: 10.6084/m9.figshare.19518294.v1
title: Additional file 2 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 2.
DOI: 10.6084/m9.figshare.19518297
title: Additional file 3 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 3.
DOI: 10.6084/m9.figshare.19518297.v1
title: Additional file 3 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 3.
DOI: 10.6084/m9.figshare.19518300
title: Additional file 4 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 4.
DOI: 10.6084/m9.figshare.19518300.v1
title: Additional file 4 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 4.
DOI: 10.6084/m9.figshare.19518303
title: Additional file 5 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 5.
DOI: 10.6084/m9.figshare.19518303.v1
title: Additional file 5 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 5.
DOI: 10.6084/m9.figshare.19518306
title: Additional file 6 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 6.
DOI: 10.6084/m9.figshare.19518306.v1
title: Additional file 6 of Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera

description: Additional file 6.
DOI: 10.6084/m9.figshare.14889672
title: Additional file 1 of Trajectories of end-of-life medical and long-term care expenditures for older adults in Japan: retrospective longitudinal study using a large-scale linked database of medical and long-term care claims

description: Additional file 1: Table S1. Correspondence between Japanese public healthcare services and System of Health Accounts (SHA) 2011. Table S2. Correspondence between the comorbidities and International Classification of Diseases (ICD-10) codes. Text S3. The group-based trajectory model. Figure S4. Total of medical and long-term care expenditures and cumulative ratio. Table S5. Evaluation of assignment accuracy. Figure S6. Estimated spending trajectories of male over 5 years before death. Figure S7. Estimated spending trajectories of female over 5 years before death. Table S8. End-of-life care expenditures associated with combined medical and long-term care spending trajectories. Table S9. End-of-life care expenditures associated with the medical spending trajectories. Table S10. End-of-life care expenditures associated with the long-term care spending trajectories. Figure S11. Trends of end-of-life care expenditures per patient per month during the 60 months. Table S12. Patient characteristics associated with the combined medical and long-term care spending trajectories. Table S13. Patient characteristics associated with the medical spending trajectories. Table S14. Patient characteristics associated with the long-term care spending trajectories. Table S15. Multiple multinomial logistic regression analyses for combined medical and long-term care spending trajectories. Table S16. Multiple multinomial logistic regression analyses for medical spending trajectories. Table S17. Multiple multinomial logistic regression analyses for long-term care spending trajectories.
DOI: 10.6084/m9.figshare.14889672.v2
title: Additional file 1 of Trajectories of end-of-life medical and long-term care expenditures for older adults in Japan: retrospective longitudinal study using a large-scale linked database of medical and long-term care claims

description: Additional file 1: Table S1. Correspondence between Japanese public healthcare services and System of Health Accounts (SHA) 2011. Table S2. Correspondence between the comorbidities and International Classification of Diseases (ICD-10) codes. Text S3. The group-based trajectory model. Figure S4. Total of medical and long-term care expenditures and cumulative ratio. Table S5. Evaluation of assignment accuracy. Figure S6. Estimated spending trajectories of male over 5 years before death. Figure S7. Estimated spending trajectories of female over 5 years before death. Table S8. End-of-life care expenditures associated with combined medical and long-term care spending trajectories. Table S9. End-of-life care expenditures associated with the medical spending trajectories. Table S10. End-of-life care expenditures associated with the long-term care spending trajectories. Figure S11. Trends of end-of-life care expenditures per patient per month during the 60 months. Table S12. Patient characteristics associated with the combined medical and long-term care spending trajectories. Table S13. Patient characteristics associated with the medical spending trajectories. Table S14. Patient characteristics associated with the long-term care spending trajectories. Table S15. Multiple multinomial logistic regression analyses for combined medical and long-term care spending trajectories. Table S16. Multiple multinomial logistic regression analyses for medical spending trajectories. Table S17. Multiple multinomial logistic regression analyses for long-term care spending trajectories.
DOI: 10.6084/m9.figshare.14889672.v1
title: Additional file 1 of Trajectories of end-of-life medical and long-term care expenditures for older adults in Japan: retrospective longitudinal study using a large-scale linked database of medical and long-term care claims

description: Additional file 1: Table S1. Correspondence between Japanese public healthcare services and System of Health Accounts (SHA) 2011. Table S2. Correspondence between the comorbidities and International Classification of Diseases (ICD-10) codes. Text S3. The group-based trajectory model. Figure S4. Total of medical and long-term care expenditures and cumulative ratio. Table S5. Evaluation of assignment accuracy. Figure S6. Estimated spending trajectories of male over 5 years before death. Figure S7. Estimated spending trajectories of female over 5 years before death. Table S8. End-of-life care expenditures associated with combined medical and long-term care spending trajectories. Table S9. End-of-life care expenditures associated with the medical spending trajectories. Table S10. End-of-life care expenditures associated with the long-term care spending trajectories. Figure S11. Trends of end-of-life care expenditures per patient per month during the 60 months. Table S12. Patient characteristics associated with the combined medical and long-term care spending trajectories. Table S13. Patient characteristics associated with the medical spending trajectories. Table S14. Patient characteristics associated with the long-term care spending trajectories. Table S15. Multiple multinomial logistic regression analyses for combined medical and long-term care spending trajectories. Table S16. Multiple multinomial logistic regression analyses for medical spending trajectories. Table S17. Multiple multinomial logistic regression analyses for long-term care spending trajectories.
DOI: 10.6084/m9.figshare.19518410
title: Additional file 8 of DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets

description: Additional file 8 Results from the catdes r function from the factoMiner package. Results from the catdes function, used to characterise the clusters with the modalities of the original variables in the datasets, clusters calculated with the KMeans algorithm, in the 6 clusters case, for both distances (semantic and Gower’s).
DOI: 10.6084/m9.figshare.19518410.v1
title: Additional file 8 of DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets

description: Additional file 8 Results from the catdes r function from the factoMiner package. Results from the catdes function, used to characterise the clusters with the modalities of the original variables in the datasets, clusters calculated with the KMeans algorithm, in the 6 clusters case, for both distances (semantic and Gower’s).
DOI: 10.6084/m9.figshare.19518437
title: Additional file 2 of The structural diversity of CACTA transposons in genomes of Chenopodium (Amaranthaceae, Caryophyllales) species: specific traits and comparison with the similar elements of angiosperms

description: Additional file 2. Table of analyzed contigs/scaffolds containing fragments or CACTA-like elements.
DOI: 10.6084/m9.figshare.19518437.v1
title: Additional file 2 of The structural diversity of CACTA transposons in genomes of Chenopodium (Amaranthaceae, Caryophyllales) species: specific traits and comparison with the similar elements of angiosperms

description: Additional file 2. Table of analyzed contigs/scaffolds containing fragments or CACTA-like elements.
DOI: 10.6084/m9.figshare.19518443
title: Additional file 4 of The structural diversity of CACTA transposons in genomes of Chenopodium (Amaranthaceae, Caryophyllales) species: specific traits and comparison with the similar elements of angiosperms

description: Additional file 4. Table of Conserved Domains and Conserved Domain Architectures.
DOI: 10.6084/m9.figshare.19518443.v1
title: Additional file 4 of The structural diversity of CACTA transposons in genomes of Chenopodium (Amaranthaceae, Caryophyllales) species: specific traits and comparison with the similar elements of angiosperms

description: Additional file 4. Table of Conserved Domains and Conserved Domain Architectures.
DOI: 10.6084/m9.figshare.19518497
title: Additional file 2 of Analysis of 61 SNPs from the CAD specific genomic loci reveals unique set of SNPs as significant markers in the Southern Indian population of Hyderabad

description: Additional file 2. Table S1: Chromosomal, gene locations and functions of the 61 SNPs selected for the present study in Coronary Artery Disease
DOI: 10.6084/m9.figshare.19518497.v1
title: Additional file 2 of Analysis of 61 SNPs from the CAD specific genomic loci reveals unique set of SNPs as significant markers in the Southern Indian population of Hyderabad

description: Additional file 2. Table S1: Chromosomal, gene locations and functions of the 61 SNPs selected for the present study in Coronary Artery Disease
DOI: 10.6084/m9.figshare.19518500.v1
title: Additional file 3 of Analysis of 61 SNPs from the CAD specific genomic loci reveals unique set of SNPs as significant markers in the Southern Indian population of Hyderabad

description: Additional file 3. Table S2: Minor allele and Genotype frequencies of 61 SNPs in CAD cases and controls
DOI: 10.6084/m9.figshare.19518500
title: Additional file 3 of Analysis of 61 SNPs from the CAD specific genomic loci reveals unique set of SNPs as significant markers in the Southern Indian population of Hyderabad

description: Additional file 3. Table S2: Minor allele and Genotype frequencies of 61 SNPs in CAD cases and controls
DOI: 10.6084/m9.figshare.19518503
title: Additional file 4 of Analysis of 61 SNPs from the CAD specific genomic loci reveals unique set of SNPs as significant markers in the Southern Indian population of Hyderabad

description: Additional file 4. Table S3: Subset analysis (30%, 50%, 70%) of CAD cases and controls to check for the internal consistency and replicability of significant SNPs.
DOI: 10.6084/m9.figshare.19518503.v1
title: Additional file 4 of Analysis of 61 SNPs from the CAD specific genomic loci reveals unique set of SNPs as significant markers in the Southern Indian population of Hyderabad

description: Additional file 4. Table S3: Subset analysis (30%, 50%, 70%) of CAD cases and controls to check for the internal consistency and replicability of significant SNPs.
DOI: 10.6084/m9.figshare.19518513
title: Additional file 3 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification

description: Additional file 3. Lists of found DMRs for moderated t-test with new data transformation.
DOI: 10.6084/m9.figshare.19518510
title: Additional file 2 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification

description: Additional file 2. Lists of found DMRs for moderated t-test.
DOI: 10.6084/m9.figshare.19518510.v1
title: Additional file 2 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification

description: Additional file 2. Lists of found DMRs for moderated t-test.
DOI: 10.6084/m9.figshare.19518513.v1
title: Additional file 3 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification

description: Additional file 3. Lists of found DMRs for moderated t-test with new data transformation.
DOI: 10.6084/m9.figshare.19518516
title: Additional file 4 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification

description: Additional file 4. Lists of found DMRs for Fisher's exact test.
DOI: 10.6084/m9.figshare.19518516.v1
title: Additional file 4 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification

description: Additional file 4. Lists of found DMRs for Fisher's exact test.
DOI: 10.6084/m9.figshare.19518527
title: Additional file 2 of The contribution of evolutionarily volatile promoters to molecular phenotypes and human trait variation

description: Additional file 2. Supplementary Tables 1-5.
DOI: 10.6084/m9.figshare.19518527.v1
title: Additional file 2 of The contribution of evolutionarily volatile promoters to molecular phenotypes and human trait variation

description: Additional file 2. Supplementary Tables 1-5.
DOI: 10.6084/m9.figshare.19518531
title: Additional file 1 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 1. Supplementary Tables S1-S16
DOI: 10.6084/m9.figshare.19518531.v1
title: Additional file 1 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 1. Supplementary Tables S1-S16
DOI: 10.6084/m9.figshare.19518534
title: Additional file 2 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 2. This is the raw data output by NetCorona following analysis of the “All Human Proteins” dataset.
DOI: 10.6084/m9.figshare.19518534.v1
title: Additional file 2 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 2. This is the raw data output by NetCorona following analysis of the “All Human Proteins” dataset.
DOI: 10.6084/m9.figshare.19518537
title: Additional file 3 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 3. This is the raw data output by NetCorona following analysis of the “One Protein Per Gene” dataset.
DOI: 10.6084/m9.figshare.19518537.v1
title: Additional file 3 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 3. This is the raw data output by NetCorona following analysis of the “One Protein Per Gene” dataset.
DOI: 10.6084/m9.figshare.19518543
title: Additional file 4 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 4. This is the raw data output by NetCorona following analysis of the “Proteins With PDB” dataset.
DOI: 10.6084/m9.figshare.19518543.v1
title: Additional file 4 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 4. This is the raw data output by NetCorona following analysis of the “Proteins With PDB” dataset.
DOI: 10.6084/m9.figshare.19518558
title: Additional file 6 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 6. Raw data displaying how predicted cleaved motifs were matched to a PDB file.
DOI: 10.6084/m9.figshare.19518558.v1
title: Additional file 6 of Predicted coronavirus Nsp5 protease cleavage sites in the human proteome

description: Additional file 6. Raw data displaying how predicted cleaved motifs were matched to a PDB file.
DOI: 10.6084/m9.figshare.19518539
title: Additional file 10 of Novel drug-target interactions via link prediction and network embedding

description: Additional file 10: Table S1. Predicted phase-4 drugs for proteins of unknown 3D structure. List of potential phase-4 drugs (approved drugs) that can interact with unknown 3D structure proteins.
DOI: 10.6084/m9.figshare.19518539.v1
title: Additional file 10 of Novel drug-target interactions via link prediction and network embedding

description: Additional file 10: Table S1. Predicted phase-4 drugs for proteins of unknown 3D structure. List of potential phase-4 drugs (approved drugs) that can interact with unknown 3D structure proteins.