cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8301089.v1
title: Identification of proteins associated with splicing factors Ntr1, Ntr2, Brr2 and Gpl1 in the fission yeast <i>Schizosaccharomyces pombe</i>

description: The spliceosome is a complex molecular machine assembled from many components, which catalyzes the removal of introns from mRNA precursors. Our previous study revealed that the Nrl1 (NRDE-2 like 1) protein associates with spliceosome proteins and regulates pre-mRNA splicing and homologous recombination-dependent R-loop formation in the fission yeast <i>Schizosaccharomyces pombe</i>. Here, we identify proteins associated with splicing factors Ntr1, Ntr2, Brr2 and Gpl1, a poorly characterized G-patch domain-containing protein required for efficient splicing. This work provides new evidence that Nrl1 and splicing factors physically interact and reveals additional insights into the protein interaction network of the spliceosome. We discuss implications of these findings in the light of recent progress in our understanding of how Nrl1 and splicing factors ensure genome stability.
DOI: 10.6084/m9.figshare.19582420
title: Additional file 2 of Single-cell analysis of p53 transitional dynamics unravels stimulus- and cell type-dependent signaling output motifs

description: Additional file 2. Excel file that provides the individual data values of the single cell statistics plotted in Fig. 2 and Fig. 5F.
DOI: 10.6084/m9.figshare.19582269
title: Additional file 5 of Genome-wide analysis of the VQ motif-containing gene family and expression profiles during phytohormones and abiotic stresses in wheat (Triticum aestivum L.)

description: Additional file5: Table S4. Ka/Ks values of duplicated TaVQ gene pairs
DOI: 10.6084/m9.figshare.19582263.v1
title: Additional file 3 of Genome-wide analysis of the VQ motif-containing gene family and expression profiles during phytohormones and abiotic stresses in wheat (Triticum aestivum L.)

description: Additional file3: Table S2. The VQ genes identified from Arabidopsis, rice, barley , and maize in this study.
DOI: 10.5281/zenodo.10653748
title: Data for Nature publication "Controlling the helicity of light by electrical magnetization switching"
DOI: 10.5281/zenodo.10653749
title: Data for Nature publication "Controlling the helicity of light by electrical magnetization switching"
DOI: 10.6084/m9.figshare.13290958
title: Additional file 3 of A novel nomogram for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based study

description: Additional file 3: Table S3. A database of testing set.
DOI: 10.6084/m9.figshare.20107623
title: Additional file 1 of Identification and functional characterization of the first deep intronic GLA mutation (IVS4+1326C&gt;T) causing renal variant of Fabry disease

description: Additional file 1. Primer sequences for genomic DNA sequencing ,RT-PCR, qRT-PCR and PHAGE-GLA plasmid construction.
DOI: 10.6084/m9.figshare.20107623.v1
title: Additional file 1 of Identification and functional characterization of the first deep intronic GLA mutation (IVS4+1326C&gt;T) causing renal variant of Fabry disease

description: Additional file 1. Primer sequences for genomic DNA sequencing ,RT-PCR, qRT-PCR and PHAGE-GLA plasmid construction.
DOI: 10.6084/m9.figshare.19582266.v1
title: Additional file 4 of Genome-wide analysis of the VQ motif-containing gene family and expression profiles during phytohormones and abiotic stresses in wheat (Triticum aestivum L.)

description: Additional file4: Table S3.The amino acid sequences of 20 putative motifs.
DOI: 10.11570/21.0008
title: OSSOS XXIII: 2013 VZ70 and the Temporary Coorbitals of the Giant Planets
DOI: 10.11570/21.0006
title: Submillimetre observations of the two-component magnetic field in M82
DOI: 10.11570/21.0024
title: Stellar Structures, Molecular Gas, and Star Formation across the PHANGS sample of nearby galaxies
DOI: 10.11570/21.0003
title: The Global Mangeto-Ionic Medium Survey: A Faraday Depth Survey of the Northern Sky Covering 1280 to 1750 MHz
DOI: 10.11570/20.0013
title: JCMT POL-2 and BISTRO Survey observations of magnetic fields in the L1689 molecular cloud
DOI: 10.11570/21.0004
title: The JCMT BISTRO-2 Survey: The Magnetic Field in the Center of the Rosette Molecular Cloud
DOI: 10.11570/21.0002
title: Southern HII Region Discovery Survey. II. The Full Catalog
DOI: 10.11570/21.0001
title: Characterizing Outflows in the Cygnus X Region
DOI: 10.6084/m9.figshare.17304446
title: Instances-SCLP.zip

description: Benchmark instances of the Single Container Loading Problem introduced by:- Junqueira, L., Morabito, R., & Yamashita, D. S. (2012). Three-dimensional container loading models with cargo stability and load bearing constraints. Computers & Operations Research, 39(1), 74-85.- Davies, A. P., & Bischoff, E. E. (1999). Weight distribution considerations in container loading. European Journal of Operational Research, 114(3), 509-527.- Bischoff, E. E., & Ratcliff, M. S. W. (1995). Issues in the development of approaches to container loading. Omega, 23(4), 377-390.<br>
DOI: 10.6084/m9.figshare.17304446.v1
title: Instances-SCLP.zip

description: Benchmark instances of the Single Container Loading Problem introduced by:- Junqueira, L., Morabito, R., & Yamashita, D. S. (2012). Three-dimensional container loading models with cargo stability and load bearing constraints. Computers & Operations Research, 39(1), 74-85.- Davies, A. P., & Bischoff, E. E. (1999). Weight distribution considerations in container loading. European Journal of Operational Research, 114(3), 509-527.- Bischoff, E. E., & Ratcliff, M. S. W. (1995). Issues in the development of approaches to container loading. Omega, 23(4), 377-390.<br>
DOI: 10.6084/m9.figshare.17304773
title: Additional file 1 of Malaria vector control tools in emergency settings: What do experts think? Results from a DELPHI survey

description: Additional file 1. Invitation sent to participate in the Delphi survey.
DOI: 10.6084/m9.figshare.17304773.v1
title: Additional file 1 of Malaria vector control tools in emergency settings: What do experts think? Results from a DELPHI survey

description: Additional file 1. Invitation sent to participate in the Delphi survey.
DOI: 10.6084/m9.figshare.17304785.v1
title: Additional file 1 of A systematic review and meta-analysis of host genetic factors associated with influenza severity

description: Additional file 1. Data extraction of the included studies in the systematic review of host genetic factors and influenza disease severity.
DOI: 10.6084/m9.figshare.17304785
title: Additional file 1 of A systematic review and meta-analysis of host genetic factors associated with influenza severity

description: Additional file 1. Data extraction of the included studies in the systematic review of host genetic factors and influenza disease severity.
DOI: 10.6084/m9.figshare.17304774.v1
title: Additional file 2 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 2: Table S1. Proportion of total protein allocated to organelles.
DOI: 10.6084/m9.figshare.17304774
title: Additional file 2 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 2: Table S1. Proportion of total protein allocated to organelles.
DOI: 10.6084/m9.figshare.17304780
title: Additional file 3 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 3: Table S2. The ATP biosynthesis costs of nucleotides and amino acids used in this study.
DOI: 10.6084/m9.figshare.17304783.v1
title: Additional file 4 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 4: Table S3. The cost of encoding genes in organellar vs nuclear chromosomes.
DOI: 10.6084/m9.figshare.17304780.v1
title: Additional file 3 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 3: Table S2. The ATP biosynthesis costs of nucleotides and amino acids used in this study.
DOI: 10.6084/m9.figshare.17304783
title: Additional file 4 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 4: Table S3. The cost of encoding genes in organellar vs nuclear chromosomes.
DOI: 10.6084/m9.figshare.17304786.v1
title: Additional file 5 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 5: Table S4. The protein components of the organellar protein import complexes.
DOI: 10.6084/m9.figshare.17304786
title: Additional file 5 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 5: Table S4. The protein components of the organellar protein import complexes.
DOI: 10.6084/m9.figshare.17304789
title: Additional file 6 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 6: Table S5. The additional per-residue costs of including the protein import machinery.
DOI: 10.6084/m9.figshare.17304789.v1
title: Additional file 6 of The economics of organellar gene loss and endosymbiotic gene transfer

description: Additional file 6: Table S5. The additional per-residue costs of including the protein import machinery.
DOI: 10.6084/m9.figshare.17304888
title: Additional file 3 of AGAP2-AS1 as a prognostic biomarker in low-risk clear cell renal cell carcinoma patients with progressing disease

description: Additional file 3: Biomarker evaluation. Evaluation of the expression of individual genes or combinations of up to 10 genes as biomarkers. The best results were achieved with AGAP2-AS1, which correctly classified 23 out of 24 samples without the need for a larger gene panel.
DOI: 10.6084/m9.figshare.17304888.v1
title: Additional file 3 of AGAP2-AS1 as a prognostic biomarker in low-risk clear cell renal cell carcinoma patients with progressing disease

description: Additional file 3: Biomarker evaluation. Evaluation of the expression of individual genes or combinations of up to 10 genes as biomarkers. The best results were achieved with AGAP2-AS1, which correctly classified 23 out of 24 samples without the need for a larger gene panel.
DOI: 10.6084/m9.figshare.17304905
title: Additional file 2 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 2: Table S2. Genes that showed a statistically significant (FDR
DOI: 10.6084/m9.figshare.17304905.v1
title: Additional file 2 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 2: Table S2. Genes that showed a statistically significant (FDR
DOI: 10.6084/m9.figshare.17304908
title: Additional file 3 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 3: Table S3. Gene Ontology over-representation analysis of differentially expressed genes in different treatments.
DOI: 10.6084/m9.figshare.17304908.v1
title: Additional file 3 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 3: Table S3. Gene Ontology over-representation analysis of differentially expressed genes in different treatments.
DOI: 10.6084/m9.figshare.17304911
title: Additional file 4 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 4: Table S4. Gene Set Enrichment Analyses.
DOI: 10.6084/m9.figshare.17304911.v1
title: Additional file 4 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 4: Table S4. Gene Set Enrichment Analyses.
DOI: 10.6084/m9.figshare.17304917
title: Additional file 5 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 5: Table S5. Primers used in RT-qPCR reactions.
DOI: 10.6084/m9.figshare.17304917.v1
title: Additional file 5 of Carbon nanotube biocompatibility in plants is determined by their surface chemistry

description: Additional file 5: Table S5. Primers used in RT-qPCR reactions.
DOI: 10.6084/m9.figshare.17304948.v1
title: Additional file 2 of High natural PHA production from acetate in Cobetia sp. MC34 and Cobetia marina DSM 4741T and in silico analyses of the genus specific PhaC2 polymerase variant

description: Additional file 2: PhaC_C-term.
DOI: 10.6084/m9.figshare.17304948
title: Additional file 2 of High natural PHA production from acetate in Cobetia sp. MC34 and Cobetia marina DSM 4741T and in silico analyses of the genus specific PhaC2 polymerase variant

description: Additional file 2: PhaC_C-term.
DOI: 10.6084/m9.figshare.17304767
title: Benchmark Instances of the Single Container Loading Problem

description: Benchmark instances of the Single Container Loading Problem introduced by:- Junqueira, L., Morabito, R., & Yamashita, D. S. (2012). Three-dimensional container loading models with cargo stability and load bearing constraints. Computers & Operations Research, 39(1), 74-85.- Davies, A. P., & Bischoff, E. E. (1999). Weight distribution considerations in container loading. European Journal of Operational Research, 114(3), 509-527.- Bischoff, E. E., & Ratcliff, M. S. W. (1995). Issues in the development of approaches to container loading. Omega, 23(4), 377-390.
DOI: 10.6084/m9.figshare.17305077
title: Additional file 3 of Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue

description: Additional file 3: Table S3. Sequences of tested elements.
DOI: 10.6084/m9.figshare.17305077.v1
title: Additional file 3 of Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue

description: Additional file 3: Table S3. Sequences of tested elements.
DOI: 10.6084/m9.figshare.17305080
title: Additional file 4 of Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue

description: Additional file 4: Table S4. QeFS processed data.
DOI: 10.6084/m9.figshare.17305080.v1
title: Additional file 4 of Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue

description: Additional file 4: Table S4. QeFS processed data.
DOI: 10.6084/m9.figshare.17305095.v1
title: Additional file 10 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 9: Tables S9A–C. Over-represented biological processes among the down-regulated genes in HDF after vemurafenib treatment, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305098
title: Additional file 11 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 10: Tables S10A–B. Differentially accessible regions in HDF treated with 2 µM of vemurafenib, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305095
title: Additional file 10 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 9: Tables S9A–C. Over-represented biological processes among the down-regulated genes in HDF after vemurafenib treatment, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305098.v1
title: Additional file 11 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 10: Tables S10A–B. Differentially accessible regions in HDF treated with 2 µM of vemurafenib, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305104
title: Additional file 12 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 11: Tables S11A–B. Over-represented biological processes among genes with differentially accessible regions in HDF after vemurafenib treatment, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305104.v1
title: Additional file 12 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 11: Tables S11A–B. Over-represented biological processes among genes with differentially accessible regions in HDF after vemurafenib treatment, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305116
title: Additional file 2 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 1: Table S1. Gene expression (log2 CPM) in HDF treated with 2 µM of vemurafenib or DMSO during 4 h, 8 h, or 18 h.
DOI: 10.6084/m9.figshare.17305122.v1
title: Additional file 3 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 2: Table S2. Gene expression (log2 CPM) in MaMel21 and MaMel63a treated with 2 µM of vemurafenib or DMSO during 24 h.
DOI: 10.6084/m9.figshare.17305116.v1
title: Additional file 2 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 1: Table S1. Gene expression (log2 CPM) in HDF treated with 2 µM of vemurafenib or DMSO during 4 h, 8 h, or 18 h.
DOI: 10.6084/m9.figshare.17305122
title: Additional file 3 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 2: Table S2. Gene expression (log2 CPM) in MaMel21 and MaMel63a treated with 2 µM of vemurafenib or DMSO during 24 h.
DOI: 10.6084/m9.figshare.17305125
title: Additional file 4 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 3: Table S3. Gene expression (log2 CPM) in SBcl2 and WM3438 treated with 2 µM of vemurafenib or DMSO during 18 h or 24 h.
DOI: 10.6084/m9.figshare.17305125.v1
title: Additional file 4 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 3: Table S3. Gene expression (log2 CPM) in SBcl2 and WM3438 treated with 2 µM of vemurafenib or DMSO during 18 h or 24 h.
DOI: 10.6084/m9.figshare.17305128
title: Additional file 5 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 4: Tables S4A–C. Differentially expressed genes in HDF treated with 2 µM of vemurafenib, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305128.v1
title: Additional file 5 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 4: Tables S4A–C. Differentially expressed genes in HDF treated with 2 µM of vemurafenib, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305131
title: Additional file 6 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 5: Tables S5A–B. Differentially expressed genes in MaMel21 and MaMel63a treated with 2 µM of vemurafenib, in comparison to DMSO control.
DOI: 10.6084/m9.figshare.17305131.v1
title: Additional file 6 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 5: Tables S5A–B. Differentially expressed genes in MaMel21 and MaMel63a treated with 2 µM of vemurafenib, in comparison to DMSO control.
DOI: 10.6084/m9.figshare.17305137
title: Additional file 7 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 6: Tables S6A–D. Differentially expressed genes in SBcl2 and WM3438 treated with 2 µM of vemurafenib, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305137.v1
title: Additional file 7 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 6: Tables S6A–D. Differentially expressed genes in SBcl2 and WM3438 treated with 2 µM of vemurafenib, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305143
title: Additional file 8 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 7: Tables S7A–F. ATAC-seq peaks in HDF treated with treated with 2 µM of vemurafenib or DMSO during 4 h, 8 h or 18 h.
DOI: 10.6084/m9.figshare.17305143.v1
title: Additional file 8 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 7: Tables S7A–F. ATAC-seq peaks in HDF treated with treated with 2 µM of vemurafenib or DMSO during 4 h, 8 h or 18 h.
DOI: 10.6084/m9.figshare.17305149
title: Additional file 9 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 8: Tables S8A–C. Over-represented biological processes among the up-regulated genes in HDF after vemurafenib treatment, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305149.v1
title: Additional file 9 of Dynamic transcriptome analysis reveals signatures of paradoxical effect of vemurafenib on human dermal fibroblasts

description: Additional file 8: Tables S8A–C. Over-represented biological processes among the up-regulated genes in HDF after vemurafenib treatment, in comparison to the corresponding time-matched DMSO control.
DOI: 10.6084/m9.figshare.17305134
title: Additional file 10 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 10. Appendix 10: Malaria, ARIs, and diarrhoea events by month.
DOI: 10.6084/m9.figshare.17305134.v1
title: Additional file 10 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 10. Appendix 10: Malaria, ARIs, and diarrhoea events by month.
DOI: 10.6084/m9.figshare.17305140
title: Additional file 11 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 11. Appendix 11: Monthly incidence and graphs for ARIs, and diarrhoea.
DOI: 10.6084/m9.figshare.17305146
title: Additional file 12 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 12. Appendix 12: Weather and monthly malaria incidence.
DOI: 10.6084/m9.figshare.17305146.v1
title: Additional file 12 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 12. Appendix 12: Weather and monthly malaria incidence.
DOI: 10.6084/m9.figshare.17305140.v1
title: Additional file 11 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 11. Appendix 11: Monthly incidence and graphs for ARIs, and diarrhoea.
DOI: 10.6084/m9.figshare.17305155.v1
title: Additional file 14 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 14. Appendix 14: Data dictionary for the study.