cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12262634.v1
title: Additional file 7 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 7: Table S7. Survival p-values of RMPs whose expression is significantly associated with survival.
DOI: 10.6084/m9.figshare.12262619
title: Additional file 4 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 4: Table S4. Duplication events of Catalytic RNA Writer Proteins (RMWs) with tissue and target specificity information.
DOI: 10.6084/m9.figshare.12262610
title: Additional file 3 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 3: Table S3. Tissue-specific RNA modification–related proteins (RMPs) in human and mouse.
DOI: 10.6084/m9.figshare.12262610.v1
title: Additional file 3 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 3: Table S3. Tissue-specific RNA modification–related proteins (RMPs) in human and mouse.
DOI: 10.6084/m9.figshare.12262619.v1
title: Additional file 4 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 4: Table S4. Duplication events of Catalytic RNA Writer Proteins (RMWs) with tissue and target specificity information.
DOI: 10.6084/m9.figshare.12262601
title: Additional file 2 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 2: Table S2. Duplication events of Catalytic RNA Writer Proteins (RMWs) used in this study.
DOI: 10.6084/m9.figshare.12262598
title: Additional file 1 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 1: Table S1. List of human RNA modification–related proteins (RMPs) used in this study.
DOI: 10.6084/m9.figshare.12262601.v1
title: Additional file 2 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 2: Table S2. Duplication events of Catalytic RNA Writer Proteins (RMWs) used in this study.
DOI: 10.6084/m9.figshare.12262598.v1
title: Additional file 1 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 1: Table S1. List of human RNA modification–related proteins (RMPs) used in this study.
DOI: 10.6084/m9.figshare.12262565
title: Additional file 11 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 11: Table S11. Uniprot list of the ortholog main catalytic RNA writer proteins in the representative species.
DOI: 10.6084/m9.figshare.12262568
title: Additional file 12 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 12: Table S12. Primers used for qPCR.
DOI: 10.6084/m9.figshare.12262568.v1
title: Additional file 12 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 12: Table S12. Primers used for qPCR.
DOI: 10.6084/m9.figshare.12262559
title: Additional file 10 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 10: Table S10. List of representative species used for phylogenetic analysis and manual curation of ortholog genes.
DOI: 10.6084/m9.figshare.12262565.v1
title: Additional file 11 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 11: Table S11. Uniprot list of the ortholog main catalytic RNA writer proteins in the representative species.
DOI: 10.6084/m9.figshare.12262559.v1
title: Additional file 10 of Integrative analyses of the RNA modification machinery reveal tissue- and cancer-specific signatures

description: Additional file 10: Table S10. List of representative species used for phylogenetic analysis and manual curation of ortholog genes.
DOI: 10.6084/m9.figshare.12262517
title: Additional file 4 of Exosomal miRNA signatures of pancreatic lesions

description: Additional file 4: Table S3. Deregulated miRNAs from Nanostring profiling associated to biological and clinical different subtypes within the same histotype.
DOI: 10.6084/m9.figshare.12262514
title: Additional file 3 of Exosomal miRNA signatures of pancreatic lesions

description: Additional file 3: Table S2. Deregulated miRNAs from Nanostring profiling associated to different pancreatic lesions.
DOI: 10.6084/m9.figshare.12262517.v1
title: Additional file 4 of Exosomal miRNA signatures of pancreatic lesions

description: Additional file 4: Table S3. Deregulated miRNAs from Nanostring profiling associated to biological and clinical different subtypes within the same histotype.
DOI: 10.6084/m9.figshare.12262502
title: Additional file 1 of Exosomal miRNA signatures of pancreatic lesions

description: Additional file 1: Table S1. Summary of clinicopathological characteristics of pancreatic neoplasm patients.
DOI: 10.6084/m9.figshare.12262514.v1
title: Additional file 3 of Exosomal miRNA signatures of pancreatic lesions

description: Additional file 3: Table S2. Deregulated miRNAs from Nanostring profiling associated to different pancreatic lesions.
DOI: 10.6084/m9.figshare.12262502.v1
title: Additional file 1 of Exosomal miRNA signatures of pancreatic lesions

description: Additional file 1: Table S1. Summary of clinicopathological characteristics of pancreatic neoplasm patients.
DOI: 10.6084/m9.figshare.12262484
title: Additional file 1 of DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses

description: Additional file 1 XLSX file containing summarized and detailed results of the comparison between QUIDDICH and DeSignate.
DOI: 10.6084/m9.figshare.12262478
title: Additional file 2 of Chagas vectors Panstrongylus chinai (Del Ponte, 1929) and Panstrongylus howardi (Neiva, 1911): chromatic forms or true species?

description: Additional file 2: Table S2. Genetic 2k-p distances among Panstrongylus chinai (26 individuals), P. howardi (33 individuals), P. megistus (2 individuals), P. tupynambai (2 individuals), P. lutzi (1 individual), Triatoma tibiamaculata (2 individuals), T. infestans (1 individual) and T. brasiliensis (1 individual).
DOI: 10.6084/m9.figshare.12262484.v1
title: Additional file 1 of DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses

description: Additional file 1 XLSX file containing summarized and detailed results of the comparison between QUIDDICH and DeSignate.
DOI: 10.6084/m9.figshare.12262475
title: Additional file 1 of Chagas vectors Panstrongylus chinai (Del Ponte, 1929) and Panstrongylus howardi (Neiva, 1911): chromatic forms or true species?

description: Additional file 1: Table S1. Geographical location and altitude of studied communities in Loja and Manabí provinces, Ecuador.
DOI: 10.6084/m9.figshare.12262475.v1
title: Additional file 1 of Chagas vectors Panstrongylus chinai (Del Ponte, 1929) and Panstrongylus howardi (Neiva, 1911): chromatic forms or true species?

description: Additional file 1: Table S1. Geographical location and altitude of studied communities in Loja and Manabí provinces, Ecuador.
DOI: 10.6084/m9.figshare.12262478.v1
title: Additional file 2 of Chagas vectors Panstrongylus chinai (Del Ponte, 1929) and Panstrongylus howardi (Neiva, 1911): chromatic forms or true species?

description: Additional file 2: Table S2. Genetic 2k-p distances among Panstrongylus chinai (26 individuals), P. howardi (33 individuals), P. megistus (2 individuals), P. tupynambai (2 individuals), P. lutzi (1 individual), Triatoma tibiamaculata (2 individuals), T. infestans (1 individual) and T. brasiliensis (1 individual).
DOI: 10.6084/m9.figshare.12262457
title: Additional file 3 of Acyl-lipid desaturases and Vipp1 cooperate in cyanobacteria to produce novel omega-3 PUFA-containing glycolipids

description: Additional file 3. Identification of glycoglycerolipids in lipid extracts of wild type and genetically-engineered cyanobacteria.
DOI: 10.6084/m9.figshare.12262457.v1
title: Additional file 3 of Acyl-lipid desaturases and Vipp1 cooperate in cyanobacteria to produce novel omega-3 PUFA-containing glycolipids

description: Additional file 3. Identification of glycoglycerolipids in lipid extracts of wild type and genetically-engineered cyanobacteria.
DOI: 10.6084/m9.figshare.12262454
title: Additional file 2 of Acyl-lipid desaturases and Vipp1 cooperate in cyanobacteria to produce novel omega-3 PUFA-containing glycolipids

description: Additional file 2. Fatty acid profile for cyanobacteria with and without plasmid constructs.
DOI: 10.6084/m9.figshare.12262454.v1
title: Additional file 2 of Acyl-lipid desaturases and Vipp1 cooperate in cyanobacteria to produce novel omega-3 PUFA-containing glycolipids

description: Additional file 2. Fatty acid profile for cyanobacteria with and without plasmid constructs.
DOI: 10.6084/m9.figshare.12262436
title: Additional file 1 of Obstetric triage systems: a systematic review of measurement properties (Clinimetric)

description: Additional file 1.
DOI: 10.6084/m9.figshare.12262436.v1
title: Additional file 1 of Obstetric triage systems: a systematic review of measurement properties (Clinimetric)

description: Additional file 1.
DOI: 10.6084/m9.figshare.12262325
title: Additional file 2 of Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak

description: Additional file 2. Tweet IDs. Description of Data: Tweet IDs of included and excluded tweets
DOI: 10.6084/m9.figshare.12262268
title: Additional file 1 of Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach

description: Additional file 1. Description of variables explored in current study.
DOI: 10.6084/m9.figshare.12262268.v1
title: Additional file 1 of Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach

description: Additional file 1. Description of variables explored in current study.
DOI: 10.6084/m9.figshare.12262238
title: Additional file 9 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 9: Table S8. GSEA for significant genes changed in alpha insulin+ cells.
DOI: 10.6084/m9.figshare.12262232
title: Additional file 8 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 8: Table S7. Differential gene expression in alpha insulin+ cells as shown in Fig. 5B.
DOI: 10.6084/m9.figshare.12262238.v1
title: Additional file 9 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 9: Table S8. GSEA for significant genes changed in alpha insulin+ cells.
DOI: 10.6084/m9.figshare.12262232.v1
title: Additional file 8 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 8: Table S7. Differential gene expression in alpha insulin+ cells as shown in Fig. 5B.
DOI: 10.6084/m9.figshare.12262226
title: Additional file 7 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 7: Table S6. Significance values for proportion of alpha cells with insulin expression as shown in Fig. 4A.
DOI: 10.6084/m9.figshare.12262220
title: Additional file 6 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 6: Table S5. GSEA for significant genes changed in alpha and beta cells treated with artemether and FoxOi.
DOI: 10.6084/m9.figshare.12262226.v1
title: Additional file 7 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 7: Table S6. Significance values for proportion of alpha cells with insulin expression as shown in Fig. 4A.
DOI: 10.6084/m9.figshare.12262214
title: Additional file 1 of Characterization of Clostridium novyi isolated from a sow in a sudden death case in Korea

description: Additional file 1. The identified genes of the C. novyi isolate.
DOI: 10.6084/m9.figshare.12262220.v1
title: Additional file 6 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 6: Table S5. GSEA for significant genes changed in alpha and beta cells treated with artemether and FoxOi.
DOI: 10.6084/m9.figshare.12262208
title: Additional file 4 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 4: Table S3. Differential gene expression in all cell types and treatments in mouse and human as shown in Figs. 4A,B,C, Fig. 5A, D, E and Fig. 6A.
DOI: 10.6084/m9.figshare.12262211
title: Additional file 5 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 5: Table S4. Significance values for insulin expression in beta cells as shown in Fig. 4A and Fig. 5C.
DOI: 10.6084/m9.figshare.12262214.v1
title: Additional file 1 of Characterization of Clostridium novyi isolated from a sow in a sudden death case in Korea

description: Additional file 1. The identified genes of the C. novyi isolate.
DOI: 10.6084/m9.figshare.12262205
title: Additional file 3 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 3: Table S2. Cell numbers and filtering workflow as shown in Additional file 1: Figure S6.
DOI: 10.6084/m9.figshare.12262199
title: Additional file 2 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 2: Table S1. Significance values for correlation of corrected and raw data to reference spike-ins as shown in Fig. 2C, Fig. 2D and Additional file 1: Figure S3B.
DOI: 10.6084/m9.figshare.12262208.v1
title: Additional file 4 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 4: Table S3. Differential gene expression in all cell types and treatments in mouse and human as shown in Figs. 4A,B,C, Fig. 5A, D, E and Fig. 6A.
DOI: 10.6084/m9.figshare.12262211.v1
title: Additional file 5 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 5: Table S4. Significance values for insulin expression in beta cells as shown in Fig. 4A and Fig. 5C.
DOI: 10.6084/m9.figshare.12262199.v1
title: Additional file 2 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 2: Table S1. Significance values for correlation of corrected and raw data to reference spike-ins as shown in Fig. 2C, Fig. 2D and Additional file 1: Figure S3B.
DOI: 10.6084/m9.figshare.12262205.v1
title: Additional file 3 of Single-cell RNA-seq with spike-in cells enables accurate quantification of cell-specific drug effects in pancreatic islets

description: Additional file 3: Table S2. Cell numbers and filtering workflow as shown in Additional file 1: Figure S6.
DOI: 10.6084/m9.figshare.12262058
title: Additional file 7 of Identification of the distribution of human endogenous retroviruses K (HML-2) by PCR-based target enrichment sequencing

description: Additional file 7: Table S3. Prevalence of the polymorphic loci.
DOI: 10.6084/m9.figshare.12262058.v1
title: Additional file 7 of Identification of the distribution of human endogenous retroviruses K (HML-2) by PCR-based target enrichment sequencing

description: Additional file 7: Table S3. Prevalence of the polymorphic loci.
DOI: 10.6084/m9.figshare.12262037
title: Additional file 1 of The sperm epigenome does not display recurrent epimutations in patients with severely impaired spermatogenesis

description: Additional file 1: Table S1 Clinical parameters. Table S2.MEST, H19, XIST and DDX4 methylation values obtained by DBS for the 133 sperm samples. Table S3. WGBS statistics. Table S4. WGBS methylation values for the 50 imprinting controls regions. Table S5. Annotations and WGBS methylation values for the 2764 soma-sperm DMRs. Table S6. WGBS methylation values for the Luján et al. 2019 DMRs. Table S7. Annotations and WGBS methylation values for the NC-NMO DMRs. Table S8. Primers for generating amplicons for targeted bisulfite sequencing. Table S9. Average WGBS methylation values (minimum coverage 5) for the subset of CpGs analysed by DBS in 17 NC-NMO DMR. Table S10. Statistical comparison of WGBS and WGBS CpG subset values (WGBS_s5). Table S11. Average DBS methylation values in 17 NC-NMO DMR. Table S12. Statistical tests concerning NC-NMO DMRs. Table S13. Methylation values of the 14 CpG sites in the H19 locus. Table S14. CpG3 methylation values in the T and G alleles in the TG group. Table S15. Statistical tests concerning individual CpG sites of H19. (XLSX 1,188 kb)
DOI: 10.6084/m9.figshare.12262031
title: Additional file 1 of Identification of the distribution of human endogenous retroviruses K (HML-2) by PCR-based target enrichment sequencing

description: Additional file 1: Table S1. All the reported HERV-K (HML-2) loci.
DOI: 10.6084/m9.figshare.12262037.v1
title: Additional file 1 of The sperm epigenome does not display recurrent epimutations in patients with severely impaired spermatogenesis

description: Additional file 1: Table S1 Clinical parameters. Table S2.MEST, H19, XIST and DDX4 methylation values obtained by DBS for the 133 sperm samples. Table S3. WGBS statistics. Table S4. WGBS methylation values for the 50 imprinting controls regions. Table S5. Annotations and WGBS methylation values for the 2764 soma-sperm DMRs. Table S6. WGBS methylation values for the Luján et al. 2019 DMRs. Table S7. Annotations and WGBS methylation values for the NC-NMO DMRs. Table S8. Primers for generating amplicons for targeted bisulfite sequencing. Table S9. Average WGBS methylation values (minimum coverage 5) for the subset of CpGs analysed by DBS in 17 NC-NMO DMR. Table S10. Statistical comparison of WGBS and WGBS CpG subset values (WGBS_s5). Table S11. Average DBS methylation values in 17 NC-NMO DMR. Table S12. Statistical tests concerning NC-NMO DMRs. Table S13. Methylation values of the 14 CpG sites in the H19 locus. Table S14. CpG3 methylation values in the T and G alleles in the TG group. Table S15. Statistical tests concerning individual CpG sites of H19. (XLSX 1,188 kb)
DOI: 10.6084/m9.figshare.12262031.v1
title: Additional file 1 of Identification of the distribution of human endogenous retroviruses K (HML-2) by PCR-based target enrichment sequencing

description: Additional file 1: Table S1. All the reported HERV-K (HML-2) loci.
DOI: 10.6084/m9.figshare.12261065
title: UPLC-MS metabolomics of black- and white-shelled Pacific oysters (Crassostrea gigas)

description: The MS raw data of black- and white-shelled Pacific oysters (<i>Crassostrea gigas</i>)
DOI: 10.6084/m9.figshare.12261065.v1
title: UPLC-MS metabolomics of black- and white-shelled Pacific oysters (Crassostrea gigas)

description: The MS raw data of black- and white-shelled Pacific oysters (<i>Crassostrea gigas</i>)
DOI: 10.6084/m9.figshare.12261431
title: EPA Ireland River Macroinvertebrate Data 2007-2018

description: A biomonitoring dataset (&gt;10,000 records) collected by the Environmental Protection Agency in the Republic of Ireland at &gt;2500 stations over the period 2007-2018
DOI: 10.6084/m9.figshare.12258314.v1
title: Mu Rhythm during Standing and Walking Is Altered in Children with Unilateral Cerebral Palsy Compared to Children with Typical Development

description: <b>Background:</b> Rehabilitation in cerebral palsy (CP) seeks to harness neuroplasticity to improve movement, including walking, yet cortical activation underlying gait is not well understood. <b>Methods:</b> We used electroencephalography (EEG) to compare motor related cortical activity, measured by mu rhythm, during quiet standing and treadmill walking in 10 children with unilateral CP and 10 age- and sex-matched children with typical development (TD). Peak mu band frequency, mu rhythm desynchronization (MRD), and gait related intra- and inter-hemispheric coherence were examined. <b>Results:</b> MRD during walking was observed bilaterally over motor cortex in both cohorts but peak mu band frequency showing MRD was significantly lower in CP compared to TD. Coherence during quiet standing between motor and frontal regions was significantly higher in the non-dominant compared to dominant hemisphere in CP with no hemispheric differences in TD. <b>Conclusions:</b> EEG-based measures should be further investigated as clinical biomarkers for atypical motor development and to assess rehabilitation effectiveness.
DOI: 10.6084/m9.figshare.12258188
title: Hawksbill nesting data from Buried treasure—marine turtles do not ‘disguise’ or ‘camouflage’ their nests but avoid them and create a decoy trail

description: Excel file containing all of the data used for the analysis of the sand scattering phase of nesting by hawksbill sea turtles.
DOI: 10.6084/m9.figshare.12258188.v1
title: Hawksbill nesting data from Buried treasure—marine turtles do not ‘disguise’ or ‘camouflage’ their nests but avoid them and create a decoy trail

description: Excel file containing all of the data used for the analysis of the sand scattering phase of nesting by hawksbill sea turtles.
DOI: 10.6084/m9.figshare.12258173
title: Leatherback nesting data from Buried treasure—marine turtles do not ‘disguise’ or ‘camouflage’ their nests but avoid them and create a decoy trail

description: Excel file containing all of the data used for the analysis of the sand scattering phase of nesting by leatherback sea turtles.
DOI: 10.6084/m9.figshare.12258173.v1
title: Leatherback nesting data from Buried treasure—marine turtles do not ‘disguise’ or ‘camouflage’ their nests but avoid them and create a decoy trail

description: Excel file containing all of the data used for the analysis of the sand scattering phase of nesting by leatherback sea turtles.
DOI: 10.6084/m9.figshare.12258086
title: Additional file 1 of A meta-analytic evaluation of the correlation between event-free survival and overall survival in randomized controlled trials of newly diagnosed Ewing sarcoma

description: Additional file 1: Table S1. Detailed description of RCTs. RCT, randomized controlled trial; ITT, intention-to-treat; OS, overall survival; EFS, event-free survival; DFS, disease-free survival; VCR, vincristine; ActD, actinomycin D; CPA, cyclophosphamide; ADM (DOX), doxorubicin; IFM, ifosfamide; ETP, etoposide; VAC, VCR + ActD+CPA; VACA, VCR + ActD+CPA + ADM; VAIA, VCR + ActD+IFM + ADM; VAI, VCR + ActD+IFM; VDC, VCR + doxorubicin+CPA; IE, IFM + ETP; EVAIA, ETP + VCR + ActD+IFM + ADM.