cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10264145.v1
title: MOESM1 of Optimized sequencing depth and de novo assembler for deeply reconstructing the transcriptome of the tea plant, an economically important plant species

description: Additional file 1: Figure S1. Venn diagram shows the transcripts intersected in different assemblers. Figure S2. Transcripts mapped to coding sequences and genome sequences with different coverage and identity thresholds. Figure S3. Assembly quality of transcripts at different expression levels. Figure S4. Completeness of the assembled transcripts at different expression levels. Figure S5. Comparison of the assembly performances between two replications of datasets randomly selected from eight representative tissues of tea plant. Figure S6. Statistic of the transcriptome assemblies using Bridger with different amount of sequencing data from replicate 2. Table S1. Summary of transcriptome assemblies of tea plant in previous studies. Table S2. Summary of the data used in this study. Table S3. Coverage of transcripts mapped to the reference genome. Table S4. Statistic of the Bridger assembly using different k-mer values. (a) Assembly characteristics; (b) completeness assessment using BUSCO; (c) length distribution. Table S5. Statistics of assembly. (a) Apical bud; (b) flower; (c) fruit; (d) second young leaf; (e) mature leaf in summer; (f) first young leaf; (g) root; (h) stem. Table S6. Length distribution of assembly. (a) Apical bud; (b) flower; (c) fruit, (d) second young leaf; (e) mature leaf in summer; (f) first young leaf; (g) root; (h) stem. Table S7. BUSCO evaluation of assembly. (a) Apical bud; (b) flower; (c) fruit; (d) second young leaf; (e) mature leaf in summer; (f) first young leaf; (g) root; (h) stem. Table S8. Statistic of assembly. (a) Apical bud and first young leaf; (b) apical bud and root. Table S9. Statistic of pooledÂ assembly. (a) Assembly characteristics; (b) length distribution; (c) BUSCO evaluation. Table S10. Runtime (hours) performance for each assembler with different amount of input data. (a) 0.5 Gb; (b) 1 Gb; (c) 3 Gb. Table S11. Completeness of transcriptomes generated in tea plant using PacBio technology.
DOI: 10.6084/m9.figshare.10264133
title: MOESM1 of From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

description: Additional file 1: Table S1. Detailed information of individuals in Cohort 1.
DOI: 10.6084/m9.figshare.10264133.v1
title: MOESM1 of From cytogenetics to cytogenomics: whole-genome sequencing as a first-line test comprehensively captures the diverse spectrum of disease-causing genetic variation underlying intellectual disability

description: Additional file 1: Table S1. Detailed information of individuals in Cohort 1.
DOI: 10.6084/m9.figshare.10264109
title: MOESM1 of Increase of reactive oxygen species contributes to growth inhibition by fluconazole in Cryptococcus neoformans

description: Additional file 1. Raw data corresponding to Figures 1C, 2C, 3C, and 3D that are included in the article.
DOI: 10.6084/m9.figshare.10264109.v1
title: MOESM1 of Increase of reactive oxygen species contributes to growth inhibition by fluconazole in Cryptococcus neoformans

description: Additional file 1. Raw data corresponding to Figures 1C, 2C, 3C, and 3D that are included in the article.
DOI: 10.6084/m9.figshare.10264067
title: MOESM2 of Unique patterns of lower respiratory tract microbiota are associated with inflammation and hospital mortality in acute respiratory distress syndrome

description: Additional file 2. The complete sequences of the QIIME data.
DOI: 10.6084/m9.figshare.10264055
title: MOESM1 of First report of the influence of temperature on the bionomics and population dynamics of Aedes koreicus, a new invasive alien species in Europe

description: Additional file 1: Table S1. Observed Ae. koreicus time series used for model calibration.
DOI: 10.6084/m9.figshare.10264067.v1
title: MOESM2 of Unique patterns of lower respiratory tract microbiota are associated with inflammation and hospital mortality in acute respiratory distress syndrome

description: Additional file 2. The complete sequences of the QIIME data.
DOI: 10.6084/m9.figshare.10264055.v1
title: MOESM1 of First report of the influence of temperature on the bionomics and population dynamics of Aedes koreicus, a new invasive alien species in Europe

description: Additional file 1: Table S1. Observed Ae. koreicus time series used for model calibration.
DOI: 10.6084/m9.figshare.10263980
title: MOESM3 of The role of nitric oxide during embryonic wound healing

description: Additional file 3. File S2 Information about various expression profiles for all genes and a complete list of enriched GO terms in Group 1’-3’
DOI: 10.6084/m9.figshare.10263962
title: MOESM1 of The role of nitric oxide during embryonic wound healing

description: Additional file 1. File S1 Information about various expression profiles for all genes and a complete list of enriched GO terms in Group 1 – 6
DOI: 10.6084/m9.figshare.10263980.v1
title: MOESM3 of The role of nitric oxide during embryonic wound healing

description: Additional file 3. File S2 Information about various expression profiles for all genes and a complete list of enriched GO terms in Group 1’-3’
DOI: 10.6084/m9.figshare.10263962.v1
title: MOESM1 of The role of nitric oxide during embryonic wound healing

description: Additional file 1. File S1 Information about various expression profiles for all genes and a complete list of enriched GO terms in Group 1 – 6
DOI: 10.6084/m9.figshare.10263938
title: MOESM11 of The role of nitric oxide during embryonic wound healing

description: Additional file 11. Table S1 List of primers used for RT-qPCR
DOI: 10.6084/m9.figshare.10263929
title: MOESM10 of The role of nitric oxide during embryonic wound healing

description: Additional file 10. File S3 List of genes used as a background during GO term enrichment analysis
DOI: 10.6084/m9.figshare.10263938.v1
title: MOESM11 of The role of nitric oxide during embryonic wound healing

description: Additional file 11. Table S1 List of primers used for RT-qPCR
DOI: 10.6084/m9.figshare.10263929.v1
title: MOESM10 of The role of nitric oxide during embryonic wound healing

description: Additional file 10. File S3 List of genes used as a background during GO term enrichment analysis
DOI: 10.6084/m9.figshare.10263914
title: MOESM4 of Farmersâ pesticide usage practices in the malaria endemic region of North-Western Tanzania: implications to the control of malaria vectors

description: Additional file 4. Susceptibility test results short rain season Magu.
DOI: 10.6084/m9.figshare.10263914.v1
title: MOESM4 of Farmersâ pesticide usage practices in the malaria endemic region of North-Western Tanzania: implications to the control of malaria vectors

description: Additional file 4. Susceptibility test results short rain season Magu.
DOI: 10.6084/m9.figshare.10263908
title: MOESM3 of Farmersâ pesticide usage practices in the malaria endemic region of North-Western Tanzania: implications to the control of malaria vectors

description: Additional file 3. Susceptibility test results dry season Magu.
DOI: 10.6084/m9.figshare.10263905
title: MOESM2 of Farmersâ pesticide usage practices in the malaria endemic region of North-Western Tanzania: implications to the control of malaria vectors

description: Additional file 2. Susceptibility test results rain season Magu.
DOI: 10.6084/m9.figshare.10263905.v1
title: MOESM2 of Farmersâ pesticide usage practices in the malaria endemic region of North-Western Tanzania: implications to the control of malaria vectors

description: Additional file 2. Susceptibility test results rain season Magu.
DOI: 10.6084/m9.figshare.10263908.v1
title: MOESM3 of Farmersâ pesticide usage practices in the malaria endemic region of North-Western Tanzania: implications to the control of malaria vectors

description: Additional file 3. Susceptibility test results dry season Magu.
DOI: 10.6084/m9.figshare.10263887
title: Additional file 1: of Multiplex proteomics identifies novel CSF and plasma biomarkers of early Alzheimerâ s disease

description: Supplementary Materials, Part 1: Notes S1-S2, Figures S1-S8, and Tables S1-S6. Supplementary Materials, Part 2: Tables S7-S39. (ZIP 789 kb)
DOI: 10.6084/m9.figshare.10263887.v1
title: Additional file 1: of Multiplex proteomics identifies novel CSF and plasma biomarkers of early Alzheimerâ s disease

description: Supplementary Materials, Part 1: Notes S1-S2, Figures S1-S8, and Tables S1-S6. Supplementary Materials, Part 2: Tables S7-S39. (ZIP 789 kb)
DOI: 10.6084/m9.figshare.10263875
title: MOESM2 of WheatCRISPR: a web-based guide RNA design tool for CRISPR/Cas9-mediated genome editing in wheat

description: Additional file 2: Table S2. Experimental corroboration and validation of gRNA efficiency predictions made by WheatCRISPR.
DOI: 10.6084/m9.figshare.10263866
title: MOESM1 of WheatCRISPR: a web-based guide RNA design tool for CRISPR/Cas9-mediated genome editing in wheat

description: Additional file 1: Table S1. The gRNA table for a phytoene desaturase (TraesCS4B02G300100) gene.
DOI: 10.6084/m9.figshare.10263875.v1
title: MOESM2 of WheatCRISPR: a web-based guide RNA design tool for CRISPR/Cas9-mediated genome editing in wheat

description: Additional file 2: Table S2. Experimental corroboration and validation of gRNA efficiency predictions made by WheatCRISPR.
DOI: 10.6084/m9.figshare.10263854
title: MOESM9 of Genetic and metabolic signatures of Salmonella enterica subsp. enterica associated with animal sources at the pangenomic scale

description: Additional file 9. GO-terms enriched by GOEA applied on accessory genes and coregenome variants of Salmonella enterica subsp. enterica serovars (n = 440) associated with animal sources (i.e. avian bovine, swine and fish). The GOEA was performed with the workflow ‘fastGSEA’ based on the parent-child approach integrating hypergeometric tests and Bonferroni corrections. The GOEA input sample is a list of corresponding RefSeq identifiers of accessory genes (i.e. RefSeq from Roary) and coregenome variants (i.e. NP from SNPeff 4.1 g) associated by microbial GWAS. The input universe is a list of RefSeq identifiers of all accessory genes (i.e. RefSeq from Roary) and all core genes (i.e. NP from SNPeff 4.1 g). BP, MF and CC stand for Biological Process, Molecular Function and Cellular Component, respectively.
DOI: 10.6084/m9.figshare.10263866.v1
title: MOESM1 of WheatCRISPR: a web-based guide RNA design tool for CRISPR/Cas9-mediated genome editing in wheat

description: Additional file 1: Table S1. The gRNA table for a phytoene desaturase (TraesCS4B02G300100) gene.
DOI: 10.6084/m9.figshare.10263848
title: MOESM8 of Genetic and metabolic signatures of Salmonella enterica subsp. enterica associated with animal sources at the pangenomic scale

description: Additional file 8. Microbial GWAS results aiming to associate accessory genes and coregenome variants of Salmonella enterica subsp. enterica serovars (n = 440) with animal sources (i.e. avian bovine, swine and fish). The microbial GWAS was performed with the workflow ‘microbial-GWAS’ based on Linear Mixed Model (LMM) for population structure correction and Wald tests for association. The genome dataset includes both genomes assigned to potential mono- and multi-animal sources based on a curated and synthesized version of Enterobase. The associated mutations (i.e. Wald tests) refer to polygenicity with regard to Quantile-Quantile (QQ) plots from microbial GWAS (i.e. p 5%) and low (i.e.
DOI: 10.6084/m9.figshare.10263854.v1
title: MOESM9 of Genetic and metabolic signatures of Salmonella enterica subsp. enterica associated with animal sources at the pangenomic scale

description: Additional file 9. GO-terms enriched by GOEA applied on accessory genes and coregenome variants of Salmonella enterica subsp. enterica serovars (n = 440) associated with animal sources (i.e. avian bovine, swine and fish). The GOEA was performed with the workflow ‘fastGSEA’ based on the parent-child approach integrating hypergeometric tests and Bonferroni corrections. The GOEA input sample is a list of corresponding RefSeq identifiers of accessory genes (i.e. RefSeq from Roary) and coregenome variants (i.e. NP from SNPeff 4.1 g) associated by microbial GWAS. The input universe is a list of RefSeq identifiers of all accessory genes (i.e. RefSeq from Roary) and all core genes (i.e. NP from SNPeff 4.1 g). BP, MF and CC stand for Biological Process, Molecular Function and Cellular Component, respectively.
DOI: 10.6084/m9.figshare.10263848.v1
title: MOESM8 of Genetic and metabolic signatures of Salmonella enterica subsp. enterica associated with animal sources at the pangenomic scale

description: Additional file 8. Microbial GWAS results aiming to associate accessory genes and coregenome variants of Salmonella enterica subsp. enterica serovars (n = 440) with animal sources (i.e. avian bovine, swine and fish). The microbial GWAS was performed with the workflow ‘microbial-GWAS’ based on Linear Mixed Model (LMM) for population structure correction and Wald tests for association. The genome dataset includes both genomes assigned to potential mono- and multi-animal sources based on a curated and synthesized version of Enterobase. The associated mutations (i.e. Wald tests) refer to polygenicity with regard to Quantile-Quantile (QQ) plots from microbial GWAS (i.e. p 5%) and low (i.e.
DOI: 10.6084/m9.figshare.10263818
title: MOESM3 of Genetic and metabolic signatures of Salmonella enterica subsp. enterica associated with animal sources at the pangenomic scale

description: Additional file 3. Samples of Salmonella enterica subsp. enterica serovars studied in the present study (n = 440). The read identifier, serovar, source niche, source detail, BioProject accession number of the European Nucleotide Archive (ENA), date of isolation and country of isolation were retrieved from Enterobase on December 2016. ND stands for not determined and corresponds to three samples added to reach a balanced dataset of genomes.
DOI: 10.6084/m9.figshare.10263818.v1
title: MOESM3 of Genetic and metabolic signatures of Salmonella enterica subsp. enterica associated with animal sources at the pangenomic scale

description: Additional file 3. Samples of Salmonella enterica subsp. enterica serovars studied in the present study (n = 440). The read identifier, serovar, source niche, source detail, BioProject accession number of the European Nucleotide Archive (ENA), date of isolation and country of isolation were retrieved from Enterobase on December 2016. ND stands for not determined and corresponds to three samples added to reach a balanced dataset of genomes.
DOI: 10.6084/m9.figshare.10263263
title: EBI portion-size estimation

description: Prism Graphpad Data Files to correspond with manuscript
DOI: 10.6084/m9.figshare.10263263.v1
title: EBI portion-size estimation

description: Prism Graphpad Data Files to correspond with manuscript
DOI: 10.6084/m9.figshare.10263137
title: Random processing times for scenarios with different number of sequential machines with different variations between pair of machines

description: <b>Description:</b>This random scenarios were generated by applying a normal distribution for processing time of machine 1 (p1). From p2 to pn (processing time of machine n), it was made a random variation up to more or less 20, 50 and 70% from the processing time of the previous machine. Further, the number of machines can be 5, 10 or 15.<br><b>Legend of the files names:</b>[number of machines][number of variation]_Scenarios.xlsxExample:- 0520_Scenarios.xlsx-- Scenarios with 05 machines with 20% of variation- 1550_Scenarios.xlsx-- Scenarios with 15 machines with 50% of variation<br><br><b>Legend of the files colums:</b>- First column is the number of the random scenario;- p1, p2, p3, ..., pn - refers to the processing time of the machine 1, 2, 3, ..., n.- peq - refers to an equivalent processing time, calculated according to [1].- U - number of items to be processed in the machines.<br>[1] da Silva, Ramon Gomes. (2019). Proposição de uma teoria empírica para estimativa de capacidade utilizando as técnicas de lot streaming. [Portuguese][Proposition of an empirical theory for capacity estimation using lot streaming techniques] (Unpublished master's thesis). Pontifical Catholic University of Parana, Curitiba, Brazil. doi:10.13140/RG.2.2.28913.12640. <br>
DOI: 10.6084/m9.figshare.10263137.v1
title: Random processing times for scenarios with different number of sequential machines with different variations between pair of machines

description: <b>Description:</b>This random scenarios were generated by applying a normal distribution for processing time of machine 1 (p1). From p2 to pn (processing time of machine n), it was made a random variation up to more or less 20, 50 and 70% from the processing time of the previous machine. Further, the number of machines can be 5, 10 or 15.<br><b>Legend of the files names:</b>[number of machines][number of variation]_Scenarios.xlsxExample:- 0520_Scenarios.xlsx-- Scenarios with 05 machines with 20% of variation- 1550_Scenarios.xlsx-- Scenarios with 15 machines with 50% of variation<br><br><b>Legend of the files colums:</b>- First column is the number of the random scenario;- p1, p2, p3, ..., pn - refers to the processing time of the machine 1, 2, 3, ..., n.- peq - refers to an equivalent processing time, calculated according to [1].- U - number of items to be processed in the machines.<br>[1] da Silva, Ramon Gomes. (2019). Proposição de uma teoria empírica para estimativa de capacidade utilizando as técnicas de lot streaming. [Portuguese][Proposition of an empirical theory for capacity estimation using lot streaming techniques] (Unpublished master's thesis). Pontifical Catholic University of Parana, Curitiba, Brazil. doi:10.13140/RG.2.2.28913.12640. <br>
DOI: 10.6084/m9.figshare.10263080.v1
title: Data for figures of“Initial cost barrier of ammonia control in central China”in GRL

description: This is the data corresponding to figures of “Initial cost barrier of ammonia control in central China” in Geophysical Research Letters.
DOI: 10.6084/m9.figshare.10263065.v1
title: data for figures of“Initial cost barrier of ammonia control in central China”in GRL

description: This is the data corresponding to figures of “Initial cost barrier of ammonia control in central China” in Geophysical Research Letters.
DOI: 10.26180/5dc35cebf3d7f
title: 4. Priority for On Road PT

description: Lecture 4 Priority for On Road Public Transport
DOI: 10.26180/5dc35c97edc71
title: 2. PT Project Evaluation

description: Lecture 2 PT Project Evaluation
DOI: 10.26180/5dc35cc45c64e
title: 3. PT Performance Monitoring

description: Lecture 3. PT Performance Monitoring
DOI: 10.26180/5dc35c5598a3e
title: 1. PT Demand Forecasting

description: Lecture 1 - PT Demand Forecasting
DOI: 10.6084/m9.figshare.10262639
title: Trees

description: Alignments and Newick files for the phylogenies presented in Moniruzzaman et al., <br>
DOI: 10.6084/m9.figshare.10262738
title: BIOL 3250 Systematic Review Spreadsheet.xls

description: The purpose of this Systematic Review is to analysis the estimated population size of mosquitoes in their specific habitats on a global. I chose this topic because mosquitoes are found in a large portion of the globe and are well known as a disease carrying organisms and a common nuisance around the world. A better understanding of their populations around the world could give us insight to the amount of disease carrying organisms that are present. This meta analysis will begin with 112 papers that were filtered with the following key words: mosquito*, population, mark-release-recapture. This Systematic review will be accumulating data on the following variables: Population, Country of Study, Latitude & Longitude of Study, Common and Latin names of mosquito species, Taxa, Richness, Diversity, Number of Major and Minor Site, Macro and Micro habitats and Hypotheses.
DOI: 10.6084/m9.figshare.10262630
title: raw_proteinortho_output.tsv.tar.gz

description: This is the raw proteinortho output for the orthologous clusters prediction in Moniruzzaman et al., 2019. <br>
DOI: 10.6084/m9.figshare.10262636
title: AAI_stats.txt.gz

description: Raw AAI values for all pairwise comparisons of reference NCLDV genomes and MAGs in Moniruzzaman et al., 2019. <br>
DOI: 10.6084/m9.figshare.10262582
title: final_bins_prot.tar.gz

description: These are the amino acid sequences of the predicted proteins in the NCLDV MAGs presented Moniruzzaman et al., 2019. <br>
DOI: 10.6084/m9.figshare.10262501
title: Codes

description: The codes attached are used to support our study. Each of these codes is exported from ArcMap where they were constructed using ModelBuilder.<br>Our study area focuses on New York City, which provides a data-rich urban environment with extreme variations in local population density and diverse types of input data in which to construct multiple methods. In this study area we can then compare the efficacy of multiple methodologies, which employ a strong binary mask paired with a density variable directly derived from the binary mask. We test the following methodologies: 1. Land areas binary mask 2. Building footprint binary mask 3. Building footprint binary mask and area density variable 4. Building footprints binary mask and volume density variable 5. Residential building footprint binary mask 6. Residential building footprint binary mask and area density variable 7. Residential building footprint binary mask and volume density variable <br><br><br><br>
DOI: 10.6084/m9.figshare.10262738.v2
title: BIOL 3250 Systematic Review Spreadsheet.xls

description: The purpose of this Systematic Review is to analysis the estimated population size of mosquitoes in their specific habitats on a global. I chose this topic because mosquitoes are found in a large portion of the globe and are well known as a disease carrying organisms and a common nuisance around the world. A better understanding of their populations around the world could give us insight to the amount of disease carrying organisms that are present. This meta analysis will begin with 112 papers that were filtered with the following key words: mosquito*, population, mark-release-recapture. This Systematic review will be accumulating data on the following variables: Population, Country of Study, Latitude & Longitude of Study, Common and Latin names of mosquito species, Taxa, Richness, Diversity, Number of Major and Minor Site, Macro and Micro habitats and Hypotheses.
DOI: 10.6084/m9.figshare.10262501.v2
title: Codes

description: The codes attached are used to support our study. Each of these codes is exported from ArcMap where they were constructed using ModelBuilder.<br>Our study area focuses on New York City, which provides a data-rich urban environment with extreme variations in local population density and diverse types of input data in which to construct multiple methods. In this study area we can then compare the efficacy of multiple methodologies, which employ a strong binary mask paired with a density variable directly derived from the binary mask. We test the following methodologies: 1. Land areas binary mask 2. Building footprint binary mask 3. Building footprint binary mask and area density variable 4. Building footprints binary mask and volume density variable 5. Residential building footprint binary mask 6. Residential building footprint binary mask and area density variable 7. Residential building footprint binary mask and volume density variable <br><br><br><br>