cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/80jq-kb94
title: Numerical Analysis of nonequatorial space elevator

description: A space elevator is a futuristic space transportation technology that enables low-cost and versatile payload transportation using climbers on a tether deployed from the geostationary orbit (GEO). In particular, a nonequatorial space elevator, which contains an anchor in a region with latitudes on the Earth, has recently attracted attention. It has several advantages, such as extending the construction range and avoiding collisions with spacecraft in the GEO. Prior research has focused on rigid-body or spring-mass models with low fidelity. This paper proposes a modeling method for nonequatorial space elevators using a nodal-position finite element method (NPFEM) extended to a rotational coordinate system. The NPFEM is a three-dimensional finite element method that considers geometric nonlinearity. Conventional NPFEMs have only been formulated using inertial coordinate systems. This paper proposes a method to formulate the NPFEM in a noninertial coordinate system and derive the inertial forces and Jacobian matrices. In addition, a three-dimensional analysis of a nonequatorial space elevator was performed based on the proposed method. After determining the equilibrium position of the NPFEM, the dynamic response of the tether during climber ascent was analyzed. Moreover, parametric studies were conducted by varying several properties of the nonequatorial space elevator. Furthermore, the energy exchange between the components was analyzed to validate the proposed method and to discuss the energy perspective of the space elevator. The results revealed that the proposed nonequatorial space elevator model experienced a more tensioned equilibrium and exhibited a more significant dynamic response than conventional models.
DOI: 10.6084/m9.figshare.19349913.v1
title: Additional file 2 of Reported definitions of intraoperative hypotension in adults undergoing non-cardiac surgery under general anaesthesia: a review

description: Additional file 2. Full dataset.
DOI: 10.6084/m9.figshare.19349913
title: Additional file 2 of Reported definitions of intraoperative hypotension in adults undergoing non-cardiac surgery under general anaesthesia: a review

description: Additional file 2. Full dataset.
DOI: 10.6084/m9.figshare.19349906
title: Additional file 2 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 2. Mapping percentages. The file includes the percentage of RNA-Seq reads mapped successfully against the reference genome for each sample analyzed.
DOI: 10.6084/m9.figshare.19349906.v1
title: Additional file 2 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 2. Mapping percentages. The file includes the percentage of RNA-Seq reads mapped successfully against the reference genome for each sample analyzed.
DOI: 10.6084/m9.figshare.19349909
title: Additional file 3 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 3. Raw counts. The file contains the raw counts produced for each gene mapped against the reference genome.
DOI: 10.6084/m9.figshare.19349909.v1
title: Additional file 3 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 3. Raw counts. The file contains the raw counts produced for each gene mapped against the reference genome.
DOI: 10.6084/m9.figshare.19349912
title: Additional file 4 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 4. Differentially expressed genes. The file contains the list of differentially expressed genes from the comparison between patients and control individuals for each cell line (LCLs, FCLs, iPSC-derived neurons). The gene name is provided, along with the fold change (FC), the logFC, the log counts per million (CPM), the F-value provided by the statistical test, the P-value, the false discovery rate (FDR) and the absolute logFC (abslogFC).
DOI: 10.6084/m9.figshare.19349912.v1
title: Additional file 4 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 4. Differentially expressed genes. The file contains the list of differentially expressed genes from the comparison between patients and control individuals for each cell line (LCLs, FCLs, iPSC-derived neurons). The gene name is provided, along with the fold change (FC), the logFC, the log counts per million (CPM), the F-value provided by the statistical test, the P-value, the false discovery rate (FDR) and the absolute logFC (abslogFC).
DOI: 10.6084/m9.figshare.19349915.v1
title: Additional file 5 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 5. Validation of selected genes—real-time PCR. The file contains the fold change (FC) and p-value of selected DEGs calculated from RNA-Seq and real-time PCR experiments. Statistical analysis was performed only for the LCL tissue.
DOI: 10.6084/m9.figshare.19349915
title: Additional file 5 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 5. Validation of selected genes—real-time PCR. The file contains the fold change (FC) and p-value of selected DEGs calculated from RNA-Seq and real-time PCR experiments. Statistical analysis was performed only for the LCL tissue.
DOI: 10.6084/m9.figshare.19349918
title: Additional file 6 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 6. HCA and HSP genes. The file contains HCA and HSP genes found differentially expressed in each of the three cell lines analyzed (LCLs, FCLs, iPSC-derived neurons).
DOI: 10.6084/m9.figshare.19349918.v1
title: Additional file 6 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 6. HCA and HSP genes. The file contains HCA and HSP genes found differentially expressed in each of the three cell lines analyzed (LCLs, FCLs, iPSC-derived neurons).
DOI: 10.6084/m9.figshare.19349921
title: Additional file 7 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 7. Common DEGs between the three cell lines. The file contains the common DEGs between the three cell lines and also between each pair of cell lines.
DOI: 10.6084/m9.figshare.19349921.v1
title: Additional file 7 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 7. Common DEGs between the three cell lines. The file contains the common DEGs between the three cell lines and also between each pair of cell lines.
DOI: 10.6084/m9.figshare.19349924.v1
title: Additional file 8 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 8. Enrichment analysis of the top 500 DEGs. The file contains the pathways that resulted from the enrichment analyses of the top 500 DEGs of each of the three cell lines analyzed (LCLs, FCLs, iPSC-derived neurons).
DOI: 10.6084/m9.figshare.19349924
title: Additional file 8 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 8. Enrichment analysis of the top 500 DEGs. The file contains the pathways that resulted from the enrichment analyses of the top 500 DEGs of each of the three cell lines analyzed (LCLs, FCLs, iPSC-derived neurons).
DOI: 10.6084/m9.figshare.19349927
title: Additional file 9 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 9. Enrichment analysis of the common DEGs between cell lines. The file contains the pathways that resulted from the enrichment analyses of the common DEGs between each pair of cell lines.
DOI: 10.6084/m9.figshare.19349927.v1
title: Additional file 9 of Transcriptomic characterization of tissues from patients and subsequent pathway analyses reveal biological pathways that are implicated in spastic ataxia

description: Additional file 9. Enrichment analysis of the common DEGs between cell lines. The file contains the pathways that resulted from the enrichment analyses of the common DEGs between each pair of cell lines.
DOI: 10.6084/m9.figshare.17798676.v1
title: Additional file 1 of Using Belgian pharmacy dispensing data to assess antibiotic use for children in ambulatory care

description: Additional file 1. Contains simplified tables of the requested pharmacy dispensing data, corrected for the number of inhabitants. This can be found online.
DOI: 10.6084/m9.figshare.17798676
title: Additional file 1 of Using Belgian pharmacy dispensing data to assess antibiotic use for children in ambulatory care

description: Additional file 1. Contains simplified tables of the requested pharmacy dispensing data, corrected for the number of inhabitants. This can be found online.
DOI: 10.6084/m9.figshare.19349934
title: Additional file 1 of Exploring genetic variation among Jordanian Solanum lycopersicon L. landraces and their performance under salt stress using SSR markers

description: Additional file 1: Table S1. Relative Reduction (R. R. %) in shoot and root fresh and dry weights, shoot and root growth rates and the relative Increase (R. I. %) of proline content in response to 4 and 6 dS m1ֿ salinity level. Table S2. Analysis of Variance (ANOVA) for relative reduction of shoot fresh weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S3. Analysis of Variance (ANOVA) for relative reduction of shoot dry weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S4. Analysis of Variance (ANOVA) for relative reduction of root fresh weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S5. Analysis of Variance (ANOVA) for relative reduction of root growth rate of seedling tomato landraces (4 dS mֿ1) salinity level. Table S6. Analysis of Variance (ANOVA) for relative reduction of shoot fresh weight of seedling tomato landraces (6 dS mֿ1) salinity level. Table S7. Analysis of Variance (ANOVA) for relative reduction of shoot dry weight of seedling tomato landraces (6 dS mֿ1) salinity level. Table S8. Analysis of Variance (ANOVA) for relative reduction of root dry weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S9. Analysis of Variance (ANOVA) for relative reduction of root dry weight of seedling tomato landraces (6 dS mֿ1) salinity level. Table S10. Analysis of Variance (ANOVA) for relative reduction of shoot growth rate of seedling tomato landraces ( 6 dS mֿ1) salinity level. Table S11. Analysis of Variance (ANOVA) for relative reduction of root fresh weight of seedling tomato landraces ( 6 dS mֿ1) salinity level. Table S12. Analysis of Variance (ANOVA) for relative reduction of root growth rate of seedling tomato landraces( 6 dS mֿ1) salinity level. Table S13. Analysis of Variance (ANOVA) for relative increase of leave proline of seedling tomato landraces at salinity level( 4 dS mֿ1) salinity level. Table S14. Analysis of Variance (ANOVA) for relative increase of leave proline of seedling tomato landraces at salinity level (6 dS mֿ1) salinity level. Table S15. Minerals content (% of dry weight) of tomato shoot and roots of 39 accessions grown at control and 4 dSm-1 salinity level. Table S16. Minerals content (% of dry weight) of tomato shoots and roots of 14 accessions grown at 6 dS m-1 salinity level. Table S17. T-test for mineral content in shoot of 34 tomato accessions compared (1) control and (2) 4 dS mֿ1 salinity level. Table S18. T-test for mineral content in root of 34 tomato accessions compared (1) control and (2) salinity level 4 dS mֿ1.Table S19. T-test for mineral content in shoot of 14 tomato accessions compared (1) control (2) 4dS mֿ1 and (3) 6 dS mֿ1 salinity level. Table S20. T-test for mineral content in root of 14 tomato accessions compared (1) control and (2) level 4 dS mֿ1 and (3) level 6 dS mֿ1.
DOI: 10.6084/m9.figshare.19349934.v1
title: Additional file 1 of Exploring genetic variation among Jordanian Solanum lycopersicon L. landraces and their performance under salt stress using SSR markers

description: Additional file 1: Table S1. Relative Reduction (R. R. %) in shoot and root fresh and dry weights, shoot and root growth rates and the relative Increase (R. I. %) of proline content in response to 4 and 6 dS m1ֿ salinity level. Table S2. Analysis of Variance (ANOVA) for relative reduction of shoot fresh weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S3. Analysis of Variance (ANOVA) for relative reduction of shoot dry weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S4. Analysis of Variance (ANOVA) for relative reduction of root fresh weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S5. Analysis of Variance (ANOVA) for relative reduction of root growth rate of seedling tomato landraces (4 dS mֿ1) salinity level. Table S6. Analysis of Variance (ANOVA) for relative reduction of shoot fresh weight of seedling tomato landraces (6 dS mֿ1) salinity level. Table S7. Analysis of Variance (ANOVA) for relative reduction of shoot dry weight of seedling tomato landraces (6 dS mֿ1) salinity level. Table S8. Analysis of Variance (ANOVA) for relative reduction of root dry weight of seedling tomato landraces (4 dS mֿ1) salinity level. Table S9. Analysis of Variance (ANOVA) for relative reduction of root dry weight of seedling tomato landraces (6 dS mֿ1) salinity level. Table S10. Analysis of Variance (ANOVA) for relative reduction of shoot growth rate of seedling tomato landraces ( 6 dS mֿ1) salinity level. Table S11. Analysis of Variance (ANOVA) for relative reduction of root fresh weight of seedling tomato landraces ( 6 dS mֿ1) salinity level. Table S12. Analysis of Variance (ANOVA) for relative reduction of root growth rate of seedling tomato landraces( 6 dS mֿ1) salinity level. Table S13. Analysis of Variance (ANOVA) for relative increase of leave proline of seedling tomato landraces at salinity level( 4 dS mֿ1) salinity level. Table S14. Analysis of Variance (ANOVA) for relative increase of leave proline of seedling tomato landraces at salinity level (6 dS mֿ1) salinity level. Table S15. Minerals content (% of dry weight) of tomato shoot and roots of 39 accessions grown at control and 4 dSm-1 salinity level. Table S16. Minerals content (% of dry weight) of tomato shoots and roots of 14 accessions grown at 6 dS m-1 salinity level. Table S17. T-test for mineral content in shoot of 34 tomato accessions compared (1) control and (2) 4 dS mֿ1 salinity level. Table S18. T-test for mineral content in root of 34 tomato accessions compared (1) control and (2) salinity level 4 dS mֿ1.Table S19. T-test for mineral content in shoot of 14 tomato accessions compared (1) control (2) 4dS mֿ1 and (3) 6 dS mֿ1 salinity level. Table S20. T-test for mineral content in root of 14 tomato accessions compared (1) control and (2) level 4 dS mֿ1 and (3) level 6 dS mֿ1.
DOI: 10.6084/m9.figshare.19349970
title: Additional file 2 of Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations

description: Additional file 2: Table S1. Two population phenotypic data.
DOI: 10.6084/m9.figshare.19349970.v1
title: Additional file 2 of Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations

description: Additional file 2: Table S1. Two population phenotypic data.
DOI: 10.6084/m9.figshare.19349984
title: Additional file 1 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 1.
DOI: 10.6084/m9.figshare.19349984.v1
title: Additional file 1 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 1.
DOI: 10.6084/m9.figshare.19349987
title: Additional file 2 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 2.
DOI: 10.6084/m9.figshare.19349987.v1
title: Additional file 2 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 2.
DOI: 10.6084/m9.figshare.19349985.v1
title: Additional file 7 of Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations

description: Additional file 7: Table S3. Confidence interval GO annotation.
DOI: 10.6084/m9.figshare.19349985
title: Additional file 7 of Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations

description: Additional file 7: Table S3. Confidence interval GO annotation.
DOI: 10.6084/m9.figshare.19349990
title: Additional file 3 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 3.
DOI: 10.6084/m9.figshare.19349990.v1
title: Additional file 3 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 3.
DOI: 10.6084/m9.figshare.19349991
title: Additional file 8 of Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations

description: Additional file 8: Table S4. Confidence interval KEGG annotation.
DOI: 10.6084/m9.figshare.19349991.v1
title: Additional file 8 of Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations

description: Additional file 8: Table S4. Confidence interval KEGG annotation.
DOI: 10.6084/m9.figshare.19349993
title: Additional file 4 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 4.
DOI: 10.6084/m9.figshare.19349993.v1
title: Additional file 4 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 4.
DOI: 10.6084/m9.figshare.19349996
title: Additional file 5 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 5.
DOI: 10.6084/m9.figshare.19349996.v1
title: Additional file 5 of A comprehensive study of epitopes and immune reactivity among Plasmodium species

description: Additional file 5.
DOI: 10.6084/m9.figshare.19350011.v1
title: Additional file 3 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 3: Supplemental File 1. A_Alphonso SnpEff. B_Tommy Atkins SnpEff.
DOI: 10.6084/m9.figshare.19350011
title: Additional file 3 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 3: Supplemental File 1. A_Alphonso SnpEff. B_Tommy Atkins SnpEff.
DOI: 10.6084/m9.figshare.19350014
title: Additional file 4 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 4: Supplemental File 2. GO enrichment analysis results.
DOI: 10.6084/m9.figshare.19350014.v1
title: Additional file 4 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 4: Supplemental File 2. GO enrichment analysis results.
DOI: 10.6084/m9.figshare.19350024
title: Additional file 5 of The cellular response to drug perturbation is limited: comparison of large-scale chemogenomic fitness signatures

description: Additional file 5: Table S1. GO enrichment analysis of cofit genes corresponding to Table 3.
DOI: 10.6084/m9.figshare.19350017
title: Additional file 5 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 5: Supplemental File 3. A_Alphonso Blast2GO results. B_Tommy Atkins Blast2GO results.
DOI: 10.6084/m9.figshare.19350017.v1
title: Additional file 5 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 5: Supplemental File 3. A_Alphonso Blast2GO results. B_Tommy Atkins Blast2GO results.
DOI: 10.6084/m9.figshare.19350020
title: Additional file 6 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 6: Supplemental File 4. Commonly shared genes with high impact variants.
DOI: 10.6084/m9.figshare.19350024.v1
title: Additional file 5 of The cellular response to drug perturbation is limited: comparison of large-scale chemogenomic fitness signatures

description: Additional file 5: Table S1. GO enrichment analysis of cofit genes corresponding to Table 3.
DOI: 10.6084/m9.figshare.19350027
title: Additional file 6 of The cellular response to drug perturbation is limited: comparison of large-scale chemogenomic fitness signatures

description: Additional file 6: Table S2. Overlap coeffiecients for HIPLAB ➔ NIBR gene response signatures and NIBR ➔ HIPLAB gene response signatures and GO enrichments for all HIPLAB and NIBR gene response signatures.
DOI: 10.6084/m9.figshare.19350027.v1
title: Additional file 6 of The cellular response to drug perturbation is limited: comparison of large-scale chemogenomic fitness signatures

description: Additional file 6: Table S2. Overlap coeffiecients for HIPLAB ➔ NIBR gene response signatures and NIBR ➔ HIPLAB gene response signatures and GO enrichments for all HIPLAB and NIBR gene response signatures.
DOI: 10.6084/m9.figshare.19350020.v1
title: Additional file 6 of Genome-wide SNP and InDel analysis of three Philippine mango species inferred from whole-genome sequencing

description: Additional file 6: Supplemental File 4. Commonly shared genes with high impact variants.
DOI: 10.6084/m9.figshare.19350044.v1
title: Additional file 1 of Increased MYD88 blood transcript in a mouse model of Alzheimer’s disease

description: Additional file 1. All data generated or analyzed during this study are included in this published article and its additional information files. The mRNA data are also available in the Harvard Dataverse repository https://doi.org/10.7910/DVN/XRQWSE .
DOI: 10.6084/m9.figshare.19350044
title: Additional file 1 of Increased MYD88 blood transcript in a mouse model of Alzheimer’s disease

description: Additional file 1. All data generated or analyzed during this study are included in this published article and its additional information files. The mRNA data are also available in the Harvard Dataverse repository https://doi.org/10.7910/DVN/XRQWSE .
DOI: 10.6084/m9.figshare.19350092
title: Additional file 1 of Differential expression of microRNAs targeting genes associated with the development of high-grade gliomas

description: Additional file 1. Clinical data, fold change gene and microRNA data, DNA primer sequences.