cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5557954
title: pruned-6-gene_phylogeny_Beast.xml

description: This is the input XML file (generated in BEAUti) for Bayesian inference of the "pruned" six-gene dataset.
DOI: 10.6084/m9.figshare.5557963
title: ITS_phylogeny_ML.result

description: This is the resulting ITS_phylogeny_ML.result file from Maximum Likelihood inference of the ITS dataset, providing evidence for the separation of a new taxon, Herpomyces shelfordellae (parasite of Shelfordella lateralis).
DOI: 10.6084/m9.figshare.5557963.v1
title: ITS_phylogeny_ML.result

description: This is the resulting ITS_phylogeny_ML.result file from Maximum Likelihood inference of the ITS dataset, providing evidence for the separation of a new taxon, Herpomyces shelfordellae (parasite of Shelfordella lateralis).
DOI: 10.6084/m9.figshare.5557966.v2
title: 3-gene_phylogeny_ML.result

description: This is the resulting 3-gene_phylogeny_ML.result file of the Maximum Likelihood phylogenetic reconstruction using the three-gene dataset (SSU+ITS+LSU) as input.
DOI: 10.6084/m9.figshare.5557954.v1
title: pruned-6-gene_phylogeny_Beast.xml

description: This is the input XML file (generated in BEAUti) for Bayesian inference of the "pruned" six-gene dataset.
DOI: 10.6084/m9.figshare.5557966.v1
title: 3-gene_phylogeny_ML.result

description: Maximum Likelihood result file
DOI: 10.6084/m9.figshare.5557933
title: ITS_dataset.nex

description: This is the input NEXUS file for Maximum Likelihood inference of the ITS dataset, including isolates of the new taxon Herpomyces shelfordellae (parasite of Shelfordella lateralis).
DOI: 10.6084/m9.figshare.5557948
title: 3-gene_dataset.nex

description: This is the three-gene input dataset (NEXUS format) used for Maximum Likelihood analysis and Bayesian inference.
DOI: 10.6084/m9.figshare.5557951
title: 3-gene_phylogeny_Beast.xml

description: This is the input XML file for the three-gene (SSU+ITS+LSU) phylogenetic reconstruction in BEAST.
DOI: 10.6084/m9.figshare.5557801
title: Practices and documentation in the Open Source community

description: Responses and analysis code to a questionnaire asking open source developers about their practices in open source software, and their beliefs about documentation's role in the community.
DOI: 10.6084/m9.figshare.5557948.v1
title: 3-gene_dataset.nex

description: This is the three-gene input dataset (NEXUS format) used for Maximum Likelihood analysis and Bayesian inference.
DOI: 10.6084/m9.figshare.5557801.v1
title: Practices and documentation in the Open Source community

description: Responses and analysis code to a questionnaire asking open source developers about their practices in open source software, and their beliefs about documentation's role in the community.
DOI: 10.6084/m9.figshare.5557951.v1
title: 3-gene_phylogeny_Beast.xml

description: This is the input XML file for the three-gene (SSU+ITS+LSU) phylogenetic reconstruction in BEAST.
DOI: 10.6084/m9.figshare.5556628
title: Dataset from Defector clustering is linked to cooperation in a pathogenic bacterium

description: Experimental data
DOI: 10.6084/m9.figshare.5556628.v1
title: Dataset from Defector clustering is linked to cooperation in a pathogenic bacterium

description: Experimental data
DOI: 10.6084/m9.figshare.5555908
title: Lidar_07.mat from Symmetric rearrangement of groundwater-fed streams

description: A LIDAR map of the Bristol, Florida network used for spectral analyses.
DOI: 10.6084/m9.figshare.5555839
title: Table S1 - Gene Names from Admixture mapping in a hybrid zone reveals loci associated with avian feather coloration

description: Gene names that are associated with one of five plumage traits. Gene ID includes ID from the warbler genome annotation (NCBI Genbank Assembly Accession#GCA_001746935.1), the gene abbreviation, the position in the zebra finch genome, whether the plumage associated SNP was in or within 20kb of the gene, and the zebra finch ensemble gene ID.
DOI: 10.6084/m9.figshare.5555908.v1
title: Lidar_07.mat from Symmetric rearrangement of groundwater-fed streams

description: A LIDAR map of the Bristol, Florida network used for spectral analyses.
DOI: 10.6084/m9.figshare.5555749
title: Particle Clearance Spreadsheet from Microencapsulated diets to improve bivalve shellfish aquaculture

description: Data spreadsheet for use with particle clearance R script
DOI: 10.6084/m9.figshare.5555752
title: Particle Size Selectivity Spreadsheet from Microencapsulated diets to improve bivalve shellfish aquaculture

description: Data spreadsheet for use with particle size selectivity R script
DOI: 10.6084/m9.figshare.5555752.v1
title: Particle Size Selectivity Spreadsheet from Microencapsulated diets to improve bivalve shellfish aquaculture

description: Data spreadsheet for use with particle size selectivity R script
DOI: 10.6084/m9.figshare.5555839.v1
title: Table S1 - Gene Names from Admixture mapping in a hybrid zone reveals loci associated with avian feather coloration

description: Gene names that are associated with one of five plumage traits. Gene ID includes ID from the warbler genome annotation (NCBI Genbank Assembly Accession#GCA_001746935.1), the gene abbreviation, the position in the zebra finch genome, whether the plumage associated SNP was in or within 20kb of the gene, and the zebra finch ensemble gene ID.
DOI: 10.6084/m9.figshare.5555743
title: Particle Size Selectivity R Script from Microencapsulated diets to improve bivalve shellfish aquaculture

description: R script for particle size selectivity figure creation and statistical analyses
DOI: 10.6084/m9.figshare.5555749.v1
title: Particle Clearance Spreadsheet from Microencapsulated diets to improve bivalve shellfish aquaculture

description: Data spreadsheet for use with particle clearance R script
DOI: 10.6084/m9.figshare.5555743.v1
title: Particle Size Selectivity R Script from Microencapsulated diets to improve bivalve shellfish aquaculture

description: R script for particle size selectivity figure creation and statistical analyses
DOI: 10.6084/m9.figshare.5555731
title: Particle Clearance R Script from Microencapsulated diets to improve bivalve shellfish aquaculture

description: R script for particle clearance figure creation and statistical analyses
DOI: 10.6084/m9.figshare.5555395
title: Wild-type6 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type6
DOI: 10.6084/m9.figshare.5555389
title: Wild-type4 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type4
DOI: 10.6084/m9.figshare.5555392
title: GIS Modelling

description: The current Geographic Information System (GIS) modeling work is to analysis the shortest and fastest route among the city of Allahabad’s routes. These alternative routes save time, fuel and money and are the best for driving, which is especially important for emergency case. Allahabad city is the seventh most populaces place in the state of Uttar Pradesh and has recognized the fastest growing cities. Although, a number of roads connect almost the all stoppages and stations and the vast population leads the city very busy and vibrant, as a result chaos occurs very often on roads, where one can easily get confused to find the best and convenient way to reach the destination. The inconvenience is even worst when the roads are very long time taken and passed through much traffic hold areas, however at the same time some short roads are available to reach a station from a stoppage and these alternative routes may free from the traffic noise. Purpose of present research work is to extract these alternative routes with the help of ARC GIS software. There are 23 stations and 69 stoppages selected in the city of Allahabad. In present work station is hospital and stoppage is an accident spot. The current Geographic Information System (GIS) modeling work is to analysis the shortest and fastest route among the city of Allahabad’s routes. These alternative routes save time, fuel and money and are the best for driving, which is especially important for emergency case. Allahabad city is the seventh most populaces place in the state of Uttar Pradesh and has recognized the fastest growing cities. Although, a number of roads connect almost the all stoppages and stations and the vast population leads the city very busy and vibrant, as a result chaos occurs very often on roads, where one can easily get confused to find the best and convenient way to reach the destination. The inconvenience is even worst when the roads are very long time taken and passed through much traffic hold areas, however at the same time some short roads are available to reach a station from a stoppage and these alternative routes may free from the traffic noise. Purpose of present research work is to extract these alternative routes with the help of ARC GIS software. There are 23 stations and 69 stoppages selected in the city of Allahabad. In present work station is hospital and stoppage is an accident spot. Key words- ARC GIS, Fastest and Shortest route,
DOI: 10.6084/m9.figshare.5555386
title: Wild-type5 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type5
DOI: 10.6084/m9.figshare.5555389.v1
title: Wild-type4 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type4
DOI: 10.6084/m9.figshare.5555383
title: Wild-type3 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type3
DOI: 10.6084/m9.figshare.5555383.v1
title: Wild-type3 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type3
DOI: 10.6084/m9.figshare.5555386.v1
title: Wild-type5 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type5
DOI: 10.6084/m9.figshare.5555305
title: OIM+AFSCs4 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs4
DOI: 10.6084/m9.figshare.5555296
title: Wild-type2 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type2
DOI: 10.6084/m9.figshare.5555296.v1
title: Wild-type2 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type2
DOI: 10.6084/m9.figshare.5555302
title: OIM+AFSCs6 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs6
DOI: 10.6084/m9.figshare.5555305.v1
title: OIM+AFSCs4 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs4
DOI: 10.6084/m9.figshare.5555287
title: OIM5 3D

description: 3D microCT reconstruction of mouse tibiae-OIM5
DOI: 10.6084/m9.figshare.5555293
title: OIM6 3D

description: 3D microCT reconstruction of mouse tibiae-OIM6
DOI: 10.6084/m9.figshare.5555290
title: Wild-type1 3D

description: 3D microCT reconstruction of mouse tibiae-wild-type1
DOI: 10.6084/m9.figshare.5555302.v1
title: OIM+AFSCs6 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs6
DOI: 10.6084/m9.figshare.5555284
title: OIM2 3D

description: 3D microCT reconstruction of mouse tibiae-OIM2
DOI: 10.6084/m9.figshare.5555287.v1
title: OIM5 3D

description: 3D microCT reconstruction of mouse tibiae-OIM5
DOI: 10.6084/m9.figshare.5555293.v1
title: OIM6 3D

description: 3D microCT reconstruction of mouse tibiae-OIM6
DOI: 10.6084/m9.figshare.5555275
title: OIM1 3D

description: 3D microCT reconstruction of mouse tibiae-OIM1
DOI: 10.6084/m9.figshare.5555278
title: OIM3 3D

description: 3D microCT reconstruction of mouse tibiae-OIM3
DOI: 10.6084/m9.figshare.5555281
title: OIM4 3D

description: 3D microCT reconstruction of mouse tibiae-OIM4
DOI: 10.6084/m9.figshare.5555278.v1
title: OIM3 3D

description: 3D microCT reconstruction of mouse tibiae-OIM3
DOI: 10.6084/m9.figshare.5555281.v1
title: OIM4 3D

description: 3D microCT reconstruction of mouse tibiae-OIM4
DOI: 10.6084/m9.figshare.5555272
title: OIM+AFSCs5 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs5
DOI: 10.6084/m9.figshare.5555275.v1
title: OIM1 3D

description: 3D microCT reconstruction of mouse tibiae-OIM1
DOI: 10.6084/m9.figshare.5555263
title: OIM+AFSCs8 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs8
DOI: 10.6084/m9.figshare.5555266
title: OIM+AFSCs7 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs7
DOI: 10.6084/m9.figshare.5555266.v1
title: OIM+AFSCs7 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs7
DOI: 10.6084/m9.figshare.5555269
title: OIM+AFSCs9 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs9
DOI: 10.6084/m9.figshare.5555272.v1
title: OIM+AFSCs5 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs5
DOI: 10.6084/m9.figshare.5555263.v1
title: OIM+AFSCs8 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs8
DOI: 10.6084/m9.figshare.5555245
title: OIM+AFSCs2 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs2
DOI: 10.6084/m9.figshare.5555248
title: OIM+AFSCs1 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs1
DOI: 10.6084/m9.figshare.5555269.v1
title: OIM+AFSCs9 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs9
DOI: 10.6084/m9.figshare.5555242
title: OIM+AFSCs3 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs3
DOI: 10.6084/m9.figshare.5555245.v1
title: OIM+AFSCs2 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs2
DOI: 10.6084/m9.figshare.5555248.v1
title: OIM+AFSCs1 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs1
DOI: 10.6084/m9.figshare.5555242.v1
title: OIM+AFSCs3 3D

description: 3D microCT reconstruction of mouse tibiae-OIM+AFSCs3
DOI: 10.6084/m9.figshare.5555227
title: DataSynthesis.xls from Multiscale tarsal adhesion kinematics of freely-walking dock beetles

description: Data file
DOI: 10.6084/m9.figshare.5555227.v1
title: DataSynthesis.xls from Multiscale tarsal adhesion kinematics of freely-walking dock beetles

description: Data file
DOI: 10.6084/m9.figshare.5555161
title: Data used in this publication from Weapon damage is associated with contest dynamics but not mating success in fallow deer (<i>Dama dama</i>)

description: Antlers function as primary weapons during fights for many species of ungulate. We examined the association between antler damage and (i) contest dynamics: the behavioural tactics used during fighting including fight duration, and (ii) mating success, fighting rate and dominance. Structural damage of the antlers was associated with contest dynamics: damage was negatively associated with jump clash attacks by individuals with damaged antlers, whereas opponents were more likely to physically displace individuals with damaged antlers during fighting. We found a positive association between dominance and damage indicating that high-ranking individuals were likely to have breaks to their antlers. We found no evidence that damage was associated with either mating success or the number of fights individuals engaged in. Our study provides a new perspective on understanding the association between contest dynamics and weapon structure, while also showing that damage has limited fitness consequences for individuals.
DOI: 10.6084/m9.figshare.5555161.v1
title: Data used in this publication from Weapon damage is associated with contest dynamics but not mating success in fallow deer (<i>Dama dama</i>)

description: Antlers function as primary weapons during fights for many species of ungulate. We examined the association between antler damage and (i) contest dynamics: the behavioural tactics used during fighting including fight duration, and (ii) mating success, fighting rate and dominance. Structural damage of the antlers was associated with contest dynamics: damage was negatively associated with jump clash attacks by individuals with damaged antlers, whereas opponents were more likely to physically displace individuals with damaged antlers during fighting. We found a positive association between dominance and damage indicating that high-ranking individuals were likely to have breaks to their antlers. We found no evidence that damage was associated with either mating success or the number of fights individuals engaged in. Our study provides a new perspective on understanding the association between contest dynamics and weapon structure, while also showing that damage has limited fitness consequences for individuals.
DOI: 10.6084/m9.figshare.5555131
title: Fig 6 from Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data

description: Aortic dissection (AD) is a vascular condition with high morbidity and mortality rates. Computational fluid dynamics (CFD) can provide insight into the progression of AD and aid clinical decisions; however, oversimplified modelling assumptions and high computational cost compromise the accuracy of the information and impede clinical translation. To overcome these limitations, a patient-specific CFD multi-scale approach coupled to Windkessel boundary conditions and accounting for wall compliance was developed and used to study an AD patient. A new moving boundary algorithm was implemented to capture wall displacement and a rich <i>in vivo</i> clinical dataset was used to tune model parameters and for validation. Comparisons between <i>in silico</i> and <i>in vivo</i> data showed that this approach successfully captures flow and pressure waves for the patient-specific AD and is able to predict the pressure in the false lumen (FL), a critical variable for the clinical management of the condition. Results showed regions of low and oscillatory wall shear stress which, together with higher diastolic pressures predicted in the FL, may indicate risk of expansion. This study, at the interface of engineering and medicine, demonstrates a relatively simple and computationally efficient approach to account for arterial deformation and wave propagation phenomena in a three-dimensional model of AD, representing a step forward in the use of CFD as potential tool for AD management and clinical support.
DOI: 10.6084/m9.figshare.5555131.v1
title: Fig 6 from Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data

description: Aortic dissection (AD) is a vascular condition with high morbidity and mortality rates. Computational fluid dynamics (CFD) can provide insight into the progression of AD and aid clinical decisions; however, oversimplified modelling assumptions and high computational cost compromise the accuracy of the information and impede clinical translation. To overcome these limitations, a patient-specific CFD multi-scale approach coupled to Windkessel boundary conditions and accounting for wall compliance was developed and used to study an AD patient. A new moving boundary algorithm was implemented to capture wall displacement and a rich <i>in vivo</i> clinical dataset was used to tune model parameters and for validation. Comparisons between <i>in silico</i> and <i>in vivo</i> data showed that this approach successfully captures flow and pressure waves for the patient-specific AD and is able to predict the pressure in the false lumen (FL), a critical variable for the clinical management of the condition. Results showed regions of low and oscillatory wall shear stress which, together with higher diastolic pressures predicted in the FL, may indicate risk of expansion. This study, at the interface of engineering and medicine, demonstrates a relatively simple and computationally efficient approach to account for arterial deformation and wave propagation phenomena in a three-dimensional model of AD, representing a step forward in the use of CFD as potential tool for AD management and clinical support.
DOI: 10.6084/m9.figshare.5555119
title: Table S2 from The Ndc80 complex targets Bod1 to human mitotic kinetochores

description: Kinetochore and centromeric proteins detected as interactors of Bod1-GFP in mitotic HeLa cells
DOI: 10.6084/m9.figshare.5555119.v1
title: Table S2 from The Ndc80 complex targets Bod1 to human mitotic kinetochores

description: Kinetochore and centromeric proteins detected as interactors of Bod1-GFP in mitotic HeLa cells
DOI: 10.6084/m9.figshare.5555107
title: Fig 5 from Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data

description: Aortic dissection (AD) is a vascular condition with high morbidity and mortality rates. Computational fluid dynamics (CFD) can provide insight into the progression of AD and aid clinical decisions; however, oversimplified modelling assumptions and high computational cost compromise the accuracy of the information and impede clinical translation. To overcome these limitations, a patient-specific CFD multi-scale approach coupled to Windkessel boundary conditions and accounting for wall compliance was developed and used to study an AD patient. A new moving boundary algorithm was implemented to capture wall displacement and a rich <i>in vivo</i> clinical dataset was used to tune model parameters and for validation. Comparisons between <i>in silico</i> and <i>in vivo</i> data showed that this approach successfully captures flow and pressure waves for the patient-specific AD and is able to predict the pressure in the false lumen (FL), a critical variable for the clinical management of the condition. Results showed regions of low and oscillatory wall shear stress which, together with higher diastolic pressures predicted in the FL, may indicate risk of expansion. This study, at the interface of engineering and medicine, demonstrates a relatively simple and computationally efficient approach to account for arterial deformation and wave propagation phenomena in a three-dimensional model of AD, representing a step forward in the use of CFD as potential tool for AD management and clinical support.
DOI: 10.6084/m9.figshare.5555110
title: Table S1 from The Ndc80 complex targets Bod1 to human mitotic kinetochores

description: Table of proteins significantly enriched in Bod1-GFP affinity purifications
DOI: 10.6084/m9.figshare.5555089
title: List of Abbreviations from Measurement of micro-scale soil deformation around roots using four-dimensional synchrotron tomography and image correlation

description: List of Abbreviations
DOI: 10.6084/m9.figshare.5555107.v1
title: Fig 5 from Computational tools for clinical support: a multi-scale compliant model for haemodynamic simulations in an aortic dissection based on multi-modal imaging data

description: Aortic dissection (AD) is a vascular condition with high morbidity and mortality rates. Computational fluid dynamics (CFD) can provide insight into the progression of AD and aid clinical decisions; however, oversimplified modelling assumptions and high computational cost compromise the accuracy of the information and impede clinical translation. To overcome these limitations, a patient-specific CFD multi-scale approach coupled to Windkessel boundary conditions and accounting for wall compliance was developed and used to study an AD patient. A new moving boundary algorithm was implemented to capture wall displacement and a rich <i>in vivo</i> clinical dataset was used to tune model parameters and for validation. Comparisons between <i>in silico</i> and <i>in vivo</i> data showed that this approach successfully captures flow and pressure waves for the patient-specific AD and is able to predict the pressure in the false lumen (FL), a critical variable for the clinical management of the condition. Results showed regions of low and oscillatory wall shear stress which, together with higher diastolic pressures predicted in the FL, may indicate risk of expansion. This study, at the interface of engineering and medicine, demonstrates a relatively simple and computationally efficient approach to account for arterial deformation and wave propagation phenomena in a three-dimensional model of AD, representing a step forward in the use of CFD as potential tool for AD management and clinical support.
DOI: 10.6084/m9.figshare.5555110.v1
title: Table S1 from The Ndc80 complex targets Bod1 to human mitotic kinetochores

description: Table of proteins significantly enriched in Bod1-GFP affinity purifications