cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17305152
title: Additional file 13 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 13. Appendix 13: Anthropometry data.
DOI: 10.6084/m9.figshare.17305152.v1
title: Additional file 13 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 13. Appendix 13: Anthropometry data.
DOI: 10.6084/m9.figshare.17305155
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.
DOI: 10.6084/m9.figshare.17305164
title: Additional file 3 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 3. Appendix 3: Malaria events.
DOI: 10.6084/m9.figshare.17305164.v1
title: Additional file 3 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 3. Appendix 3: Malaria events.
DOI: 10.6084/m9.figshare.17305167
title: Additional file 4 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 4. Appendix 4: Acute respiratory infections (ARIs) events.
DOI: 10.6084/m9.figshare.17305167.v1
title: Additional file 4 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 4. Appendix 4: Acute respiratory infections (ARIs) events.
DOI: 10.6084/m9.figshare.17305173
title: Additional file 5 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 5. Appendix 5: Diarrhoea events.
DOI: 10.6084/m9.figshare.17305173.v1
title: Additional file 5 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 5. Appendix 5: Diarrhoea events.
DOI: 10.6084/m9.figshare.17305176
title: Additional file 6 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 6. Appendix 6: MMP focal area A weather data.
DOI: 10.6084/m9.figshare.17305182
title: Additional file 7 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 7. Appendix 7: MMP focal area B weather data.
DOI: 10.6084/m9.figshare.17305176.v1
title: Additional file 6 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 6. Appendix 6: MMP focal area A weather data.
DOI: 10.6084/m9.figshare.17305182.v1
title: Additional file 7 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 7. Appendix 7: MMP focal area B weather data.
DOI: 10.6084/m9.figshare.17305188
title: Additional file 8 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 8. Appendix 8: MMP focal area C weather data.
DOI: 10.6084/m9.figshare.17305188.v1
title: Additional file 8 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 8. Appendix 8: MMP focal area C weather data.
DOI: 10.6084/m9.figshare.17305191
title: Additional file 9 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 9. Appendix 9: Analysis of monthly follow-ups.
DOI: 10.6084/m9.figshare.17305191.v1
title: Additional file 9 of Incidence of clinical malaria, acute respiratory illness, and diarrhoea in children in southern Malawi: a prospective cohort study

description: Additional file 9. Appendix 9: Analysis of monthly follow-ups.
DOI: 10.6084/m9.figshare.17305239
title: Additional file 1 of Utility of a new notation to visualize flow cytometry analysis results: first preliminary comparison with immunohistochemistry to detect CD30 expression on T-cell lymphoma cells

description: Additional file 1.
DOI: 10.6084/m9.figshare.17305239.v1
title: Additional file 1 of Utility of a new notation to visualize flow cytometry analysis results: first preliminary comparison with immunohistochemistry to detect CD30 expression on T-cell lymphoma cells

description: Additional file 1.
DOI: 10.6084/m9.figshare.17305245
title: Additional file 1 of Primary health care facility readiness to implement primary eye care in Nigeria: equipment, infrastructure, service delivery and health management information systems

description: Additional file 1. National Health Policy Documents Reviewed. Health policies that support the implementation of PEC in Nigeria with regard to service delivery, HMIS, infrastructure, equipment and consumables.
DOI: 10.6084/m9.figshare.17305245.v1
title: Additional file 1 of Primary health care facility readiness to implement primary eye care in Nigeria: equipment, infrastructure, service delivery and health management information systems

description: Additional file 1. National Health Policy Documents Reviewed. Health policies that support the implementation of PEC in Nigeria with regard to service delivery, HMIS, infrastructure, equipment and consumables.
DOI: 10.6084/m9.figshare.17305344
title: Additional file 10 of Hidden biases in germline structural variant detection

description: Additional file 10: Table S9. Distribution of LCL5 singleton SVs across chromosomes for all strategies (mapper, replicate, center, dedup/recal).
DOI: 10.6084/m9.figshare.17305344.v1
title: Additional file 10 of Hidden biases in germline structural variant detection

description: Additional file 10: Table S9. Distribution of LCL5 singleton SVs across chromosomes for all strategies (mapper, replicate, center, dedup/recal).
DOI: 10.6084/m9.figshare.17305350
title: Additional file 1 of Hidden biases in germline structural variant detection

description: Additional file 1: Table S1. General statistics for the LCL5 sample set pre-filtering requiring an overlap between MetaSV and Parliament2 call sets.
DOI: 10.6084/m9.figshare.17305350.v1
title: Additional file 1 of Hidden biases in germline structural variant detection

description: Additional file 1: Table S1. General statistics for the LCL5 sample set pre-filtering requiring an overlap between MetaSV and Parliament2 call sets.
DOI: 10.6084/m9.figshare.17305356
title: Additional file 2 of Hidden biases in germline structural variant detection

description: Additional file 2: Table S2. Total and average number of SVs with a genic or intergenic only impact.
DOI: 10.6084/m9.figshare.17305356.v1
title: Additional file 2 of Hidden biases in germline structural variant detection

description: Additional file 2: Table S2. Total and average number of SVs with a genic or intergenic only impact.
DOI: 10.6084/m9.figshare.17305362
title: Additional file 3 of Hidden biases in germline structural variant detection

description: Additional file 3: Table S3. Distribution of total and singleton SV types per strategy.
DOI: 10.6084/m9.figshare.17305362.v1
title: Additional file 3 of Hidden biases in germline structural variant detection

description: Additional file 3: Table S3. Distribution of total and singleton SV types per strategy.
DOI: 10.6084/m9.figshare.17305368
title: Additional file 4 of Hidden biases in germline structural variant detection

description: Additional file 4: Table S4. Distribution of total and singleton SV types per strategy by SV size.
DOI: 10.6084/m9.figshare.17305368.v1
title: Additional file 4 of Hidden biases in germline structural variant detection

description: Additional file 4: Table S4. Distribution of total and singleton SV types per strategy by SV size.
DOI: 10.6084/m9.figshare.17305374.v1
title: Additional file 5 of Hidden biases in germline structural variant detection

description: Additional file 5: Table S5. Comparison of variability from centers, replicates, mappers and dedup/recal after stratifying for other contributors.
DOI: 10.6084/m9.figshare.17305374
title: Additional file 5 of Hidden biases in germline structural variant detection

description: Additional file 5: Table S5. Comparison of variability from centers, replicates, mappers and dedup/recal after stratifying for other contributors.
DOI: 10.6084/m9.figshare.17305380
title: Additional file 6 of Hidden biases in germline structural variant detection

description: Additional file 6: Table S6. Comparison of Overlap for LCL5 singleton SVs, family singleton SVs and LCL5 PacBio.
DOI: 10.6084/m9.figshare.17305380.v1
title: Additional file 6 of Hidden biases in germline structural variant detection

description: Additional file 6: Table S6. Comparison of Overlap for LCL5 singleton SVs, family singleton SVs and LCL5 PacBio.
DOI: 10.6084/m9.figshare.17305389.v1
title: Additional file 8 of Hidden biases in germline structural variant detection

description: Additional file 8: Table S7. Distribution of SVs prefiltering by mapper, overlapping across mapper call sets and benchmarked with the long-read PacBio SV call set.
DOI: 10.6084/m9.figshare.17305389
title: Additional file 8 of Hidden biases in germline structural variant detection

description: Additional file 8: Table S7. Distribution of SVs prefiltering by mapper, overlapping across mapper call sets and benchmarked with the long-read PacBio SV call set.
DOI: 10.6084/m9.figshare.17305395
title: Additional file 9 of Hidden biases in germline structural variant detection

description: Additional file 9: Table S8. Distribution of singletons SVs across strategies (mapper, replicate, center, dedup/recal) for LCL5 in 100,000 and 1,000,000 base pair windows.
DOI: 10.6084/m9.figshare.17305395.v1
title: Additional file 9 of Hidden biases in germline structural variant detection

description: Additional file 9: Table S8. Distribution of singletons SVs across strategies (mapper, replicate, center, dedup/recal) for LCL5 in 100,000 and 1,000,000 base pair windows.
DOI: 10.6084/m9.figshare.17305404
title: Additional file 2 of Early experience with an opt-in research register - Scottish Health Research Register (SHARE): a multi-method evaluation of participant recruitment performance

description: Additional file 2. SurveyRaw.xlsx. Raw survey data.
DOI: 10.6084/m9.figshare.17305404.v1
title: Additional file 2 of Early experience with an opt-in research register - Scottish Health Research Register (SHARE): a multi-method evaluation of participant recruitment performance

description: Additional file 2. SurveyRaw.xlsx. Raw survey data.
DOI: 10.6084/m9.figshare.17305449.v1
title: Additional file 2 of An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes

description: Additional file 2: Includes supplementary tables S1, S2, S3, S4, and S5. Table S1. Metadata template form. Table S2. Optimization of bacterial thermolysates generation and DNA extraction. Table S3. Metadata for sequenced isolates, including bioinformatic stats for Salmonella genomes. Table S4. Bespoke 9 bp barcodes for library construction using the LITE pipeline. Table S5. European Nucleotide Archive accession numbers.
DOI: 10.6084/m9.figshare.17305449
title: Additional file 2 of An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes

description: Additional file 2: Includes supplementary tables S1, S2, S3, S4, and S5. Table S1. Metadata template form. Table S2. Optimization of bacterial thermolysates generation and DNA extraction. Table S3. Metadata for sequenced isolates, including bioinformatic stats for Salmonella genomes. Table S4. Bespoke 9 bp barcodes for library construction using the LITE pipeline. Table S5. European Nucleotide Archive accession numbers.
DOI: 10.6084/m9.figshare.17305464
title: Additional file 1 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 1: Table S1. The DEGs and the breast cancer-related genes selected from KEGG, GO terms, MammaPrint, OSbrca and scPrognosis.
DOI: 10.6084/m9.figshare.17305464.v1
title: Additional file 1 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 1: Table S1. The DEGs and the breast cancer-related genes selected from KEGG, GO terms, MammaPrint, OSbrca and scPrognosis.
DOI: 10.6084/m9.figshare.17305476.v1
title: Additional file 3 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 3: Table S3. The breast cancer-specific gene regulatory network with 1142 genes and 6402 edges.
DOI: 10.6084/m9.figshare.17305476
title: Additional file 3 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 3: Table S3. The breast cancer-specific gene regulatory network with 1142 genes and 6402 edges.
DOI: 10.6084/m9.figshare.17305482
title: Additional file 4 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 4: Table S4. The 23 significantly enriched GO terms and some GO terms unique in breast cancer obtained from cancer hallmarks.
DOI: 10.6084/m9.figshare.17305482.v1
title: Additional file 4 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 4: Table S4. The 23 significantly enriched GO terms and some GO terms unique in breast cancer obtained from cancer hallmarks.
DOI: 10.6084/m9.figshare.17305485
title: Additional file 5 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 5: Table S5. The results of univariate and multivariate Cox regression analysis on 72 identified biomarkers.
DOI: 10.6084/m9.figshare.17305485.v1
title: Additional file 5 of Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

description: Additional file 5: Table S5. The results of univariate and multivariate Cox regression analysis on 72 identified biomarkers.
DOI: 10.6084/m9.figshare.17305497
title: Additional file 1 of Identification of a novel KAT6A variant in an infant presenting with facial dysmorphism and developmental delay: a case report and literature review

description: Additional file 1. Candidate variants identified by whole exome sequencing
DOI: 10.6084/m9.figshare.17305497.v1
title: Additional file 1 of Identification of a novel KAT6A variant in an infant presenting with facial dysmorphism and developmental delay: a case report and literature review

description: Additional file 1. Candidate variants identified by whole exome sequencing
DOI: 10.6084/m9.figshare.17305503
title: Additional file 4 of Clinical health issues, reproductive hormones, and metabolic hormones associated with gut microbiome structure in African and Asian elephants

description: Additional file 4. Linear mixed model results for African elephants.
DOI: 10.6084/m9.figshare.17305503.v1
title: Additional file 4 of Clinical health issues, reproductive hormones, and metabolic hormones associated with gut microbiome structure in African and Asian elephants

description: Additional file 4. Linear mixed model results for African elephants.
DOI: 10.6084/m9.figshare.17305509
title: Additional file 5 of Clinical health issues, reproductive hormones, and metabolic hormones associated with gut microbiome structure in African and Asian elephants

description: Additional file 5. Linear mixed model results for Asian elephants.
DOI: 10.6084/m9.figshare.17305509.v1
title: Additional file 5 of Clinical health issues, reproductive hormones, and metabolic hormones associated with gut microbiome structure in African and Asian elephants

description: Additional file 5. Linear mixed model results for Asian elephants.
DOI: 10.6084/m9.figshare.17305518
title: Additional file 1 of In-silico analysis reveals druggable single nucleotide polymorphisms in angiotensin 1 converting enzyme involved in the onset of blood pressure

description: Additional file 1: Table S1. Nonsynonymous Single Nucleotide Polymorphism of ACE1 gene retrieved from NCBI dbSNP database. Table S2. a Deleterious or disease-causing SNPs across the six in silico tools (SNPs&GO, PROVEAN, PhD-SNP, Polyphen-2, PANTHER and SIFT). b SIFT predictive result of deleterious of nsSNPs. c SNPs&GO deleterious nsSNPs prediction. d PROVEAN predictive result of deleterious or disease-causing nsSNPs. e Polyphen-2 predictive result of deleterious or disease-causing nsSNPs. Table S3. a INSP protein stability predictions for nsSNPs in ACE1. b MUpro stability prediction result for MUpro_NN and MUpro_SVM. c I-Mutant prediction result for ACE1 protein stability. d istable server protein stability prediction using MUpro_SVM, MUpro_NN, iPTREE- STAB and I-Mutant. Table S4. Consurf conservation prediction analysis.
DOI: 10.6084/m9.figshare.17305518.v1
title: Additional file 1 of In-silico analysis reveals druggable single nucleotide polymorphisms in angiotensin 1 converting enzyme involved in the onset of blood pressure

description: Additional file 1: Table S1. Nonsynonymous Single Nucleotide Polymorphism of ACE1 gene retrieved from NCBI dbSNP database. Table S2. a Deleterious or disease-causing SNPs across the six in silico tools (SNPs&GO, PROVEAN, PhD-SNP, Polyphen-2, PANTHER and SIFT). b SIFT predictive result of deleterious of nsSNPs. c SNPs&GO deleterious nsSNPs prediction. d PROVEAN predictive result of deleterious or disease-causing nsSNPs. e Polyphen-2 predictive result of deleterious or disease-causing nsSNPs. Table S3. a INSP protein stability predictions for nsSNPs in ACE1. b MUpro stability prediction result for MUpro_NN and MUpro_SVM. c I-Mutant prediction result for ACE1 protein stability. d istable server protein stability prediction using MUpro_SVM, MUpro_NN, iPTREE- STAB and I-Mutant. Table S4. Consurf conservation prediction analysis.
DOI: 10.6084/m9.figshare.17305533
title: Additional file 1 of What evidence exists on the impact of anthropogenic radiofrequency electromagnetic fields on animals and plants in the environment? A systematic map protocol

description: Additional file 1. Roses form.
DOI: 10.6084/m9.figshare.17305533.v1
title: Additional file 1 of What evidence exists on the impact of anthropogenic radiofrequency electromagnetic fields on animals and plants in the environment? A systematic map protocol

description: Additional file 1. Roses form.
DOI: 10.6084/m9.figshare.17305560
title: Additional file 3 of What evidence exists on the impact of anthropogenic radiofrequency electromagnetic fields on animals and plants in the environment? A systematic map protocol

description: Additional file 3. Comprehensiveness of the search test.
DOI: 10.6084/m9.figshare.17305560.v1
title: Additional file 3 of What evidence exists on the impact of anthropogenic radiofrequency electromagnetic fields on animals and plants in the environment? A systematic map protocol

description: Additional file 3. Comprehensiveness of the search test.
DOI: 10.6084/m9.figshare.17305557
title: Additional file 1 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 1: Table S1. Table of the relative abundance of bacterial decay species in the microbiome of all lettuce samples (A) before storage, (B) during storage at 6 °C, and (C) during storage at 24 °C.
DOI: 10.6084/m9.figshare.17305557.v1
title: Additional file 1 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 1: Table S1. Table of the relative abundance of bacterial decay species in the microbiome of all lettuce samples (A) before storage, (B) during storage at 6 °C, and (C) during storage at 24 °C.
DOI: 10.6084/m9.figshare.17305584
title: Additional file 5 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 5: Table S3. Table of lettuce samples with lowest and highest EcO157 survival during 6°C storage, in relation to species richness, decay rating, and relative abundance of various decay species.
DOI: 10.6084/m9.figshare.17305584.v1
title: Additional file 5 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 5: Table S3. Table of lettuce samples with lowest and highest EcO157 survival during 6°C storage, in relation to species richness, decay rating, and relative abundance of various decay species.
DOI: 10.6084/m9.figshare.17305587
title: Additional file 6 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 6: Table S4. Table of bacteria species forming the core microbiome of fall- vs spring-harvested lettuce, before and during storage at 6 °C and 24 °C.
DOI: 10.6084/m9.figshare.17305587.v1
title: Additional file 6 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 6: Table S4. Table of bacteria species forming the core microbiome of fall- vs spring-harvested lettuce, before and during storage at 6 °C and 24 °C.
DOI: 10.6084/m9.figshare.17305596.v1
title: Additional file 8 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 8: Table S5. Average relative abundance of bacteria species in the microbiomes of lettuce cultivars TT and DA by harvest season.
DOI: 10.6084/m9.figshare.17305596
title: Additional file 8 of Seasonality, shelf life and storage atmosphere are main drivers of the microbiome and E. coli O157:H7 colonization of post-harvest lettuce cultivated in a major production area in California

description: Additional file 8: Table S5. Average relative abundance of bacteria species in the microbiomes of lettuce cultivars TT and DA by harvest season.
DOI: 10.6084/m9.figshare.12981167
title: tRF_Reads.sort.bam

description: a bam to ucsc
DOI: 10.6084/m9.figshare.12981167.v2
title: tRF_Reads.sort.bam

description: a bam to ucsc
DOI: 10.6084/m9.figshare.12981167.v1
title: tRF_Reads.sort.bam

description: a bam to ucsc