cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4620967
title: Telecommuting, off-time work, and intrusive leadership in workers' well-being

description: data of the paper "Telecommuting, off-time work, and intrusive leadership in workers’ well-being" to be published in IJERPH
DOI: 10.5281/zenodo.4620966
title: Telecommuting, off-time work, and intrusive leadership in workers' well-being

description: data of the paper "Telecommuting, off-time work, and intrusive leadership in workers’ well-being" to be published in IJERPH
DOI: 10.6084/m9.figshare.14247488
title: Serial section series of Bathymodiolus puteoserpentis plantigrade (1555-27)

description: Serial section series of a non symbiotic <i>Bathymodiolus puteoserpentis</i> plantigrade. The mussel was sampled at the Semenov-2 vent field (13.513 N; 44.962 W) at 2446.5 m water depth in 2016. The mussel was fixed with 2.5% glutaraldehyde stored in PHEM-buffer. Sections (1.5 µm section thickness) were stained with toluidine blue.
DOI: 10.6084/m9.figshare.14247488.v1
title: Serial section series of Bathymodiolus puteoserpentis plantigrade (1555-27)

description: Serial section series of a non symbiotic <i>Bathymodiolus puteoserpentis</i> plantigrade. The mussel was sampled at the Semenov-2 vent field (13.513 N; 44.962 W) at 2446.5 m water depth in 2016. The mussel was fixed with 2.5% glutaraldehyde stored in PHEM-buffer. Sections (1.5 µm section thickness) were stained with toluidine blue.
DOI: 10.6084/m9.figshare.14247616
title: Additional file 2 of Statistical integration of two omics datasets using GO2PLS

description: Additional file 2. The full lists of significant results of gene set enrichment analyses in the TwinsUK study and the CVON-DOSIS study.
DOI: 10.6084/m9.figshare.14247616.v1
title: Additional file 2 of Statistical integration of two omics datasets using GO2PLS

description: Additional file 2. The full lists of significant results of gene set enrichment analyses in the TwinsUK study and the CVON-DOSIS study.
DOI: 10.6084/m9.figshare.14247692
title: Additional file 1 of Deep learning approaches for natural product discovery from plant endophytic microbiomes

description: Additional file 1.
DOI: 10.6084/m9.figshare.14247692.v1
title: Additional file 1 of Deep learning approaches for natural product discovery from plant endophytic microbiomes

description: Additional file 1.
DOI: 10.17033/data.00000223
title: Heating and evaporation of suspended water droplets: experimental studies and modelling

description: The results of a series of experiments focused on investigation of the heating and evaporation of suspended water droplets in a hot air ow (at temperatures up to 800 C) are described. The temperatures inside droplets were estimated based on Planar Laser-Induced Fluorescence (PLIF) imaging. The advantages and limitations of this method are investigated. Typical distributions of temperatures inside droplets at the initial stages of their heating and evaporation are presented. These distributions at various cross-sections are compared. They are shown to be strongly inhomogeneous during the whole period of observation. A new model for heating and evaporation of a suspended droplet, taking into account temperature gradient and recirculation inside the droplet and the effect of a supporting rod, is suggested. It is assumed that the heat transferred from the rod to the suspended droplet is homogeneously distributed inside the droplet; its effect is modelled similarly to the effect of external thermal radiation, using the previously developed model for droplet heating in the presence of this radiation. It is shown that a reasonable agreement between the model predictions and experimental data can be achieved if the reduction of the ambient gas temperature due to the presence of an evaporating droplet is taken into account. The effect of the rod on droplet heating is shown to be most significant for ambient gas tempera-ture equal to 100 C and becomes negligibly small when the gas temperature reaches 800 C.
description: Experimental studies and modelling
DOI: 10.17033/data.00000234
title: Politics, Governance, Experiences and Responses to Flooding from the Locals’ and Migrants’ Perspectives in ASEAN R1608

description: Questionnaire survey data from 3 low income neighbourhoods in a regional coastal city in Indonesia (2013)
description: questionnaire survey
DOI: 10.17033/data.00000231
title: CEREEV

description: The objective of the CEREEV project is to create a centre of research and teaching excellence for hybrid electric vehicles, as a follow-up of the Interreg IV A CHAMP project.
description: Modelling
DOI: 10.17033/data.00000233
title: The fully Lagrangian approach to the analysis of particle/droplet dynamics: implementation into ANSYS Fluent and application to gasoline sprays

description: The fully Lagrangian approach (FLA) to the calculation of the number density of inertial particles in dilute gas-particle flows is implemented into the CFD code ANSYS Fluent. The new version of ANSYS Fluent is applied to modeling dilute gas-particle flow around a cylinder and liquid droplets in a gasoline fuel spray. In a steady-state case, the predictions of the FLA for the flow around a cylinder and those based on the equilibrium Eulerian method (EE) are almost identical for small Stokes number, Stk, and small Reynolds number, Re, (Re = 1, Stk = 0.05). For the larger values of these numbers (Re = 10, 100; Stk = 0.1, 0.2) the FLA predicts higher values of the gradients of particle number densities in front of the cylinder compared with the ones predicted by the EE. For transient flows (Re = 200), both methods predict high values of the number densities between the regions of high vorticity and very low values in the vortex cores. For Stk ≥ 0.1 the maximal values predicted by FLA are shown to be several orders of magnitude higher than those predicted by the EE. An application of FLA to a direct injection gasoline fuel spray has focused on the calculation of the number densities of droplets. Results show good qualitative agreement between the numerical simulation and experimental observations. It is shown that small droplets with diameters dp = 2 μm tend to accumulate in the regions of trajectory intersections more readily, when compared with larger droplets (dp = 10 μm, dp = 20 μm). This leads to the prediction of the regions of high number densities of small droplets.
description: Modelling
DOI: 10.5281/zenodo.4621041
title: Project MONAI 2020 Bootcamp Challenge Dataset

description: Context This data is for the day 3 challenge of the MONAI bootcamp 2020. Given a network to classify images as being normal chest xrays or subjects with pneumonia, develop a new classifier with MONAI to classify as normal (0), pneumonia (1), or a Covid-19 patient (2). Sources Data was acquired from the following sources: https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia https://data.mendeley.com/datasets/fvk7h5dg2p/3 https://www.kaggle.com/bachrr/covid-chest-xray https://www.kaggle.com/nih-chest-xrays/data https://www.kaggle.com/tawsifurrahman/covid19-radiography-database
DOI: 10.6084/m9.figshare.14247869
title: Additional file 11 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 11: Table S1. Values represent Mean ± SD of % bacterial (Shigella flexneri) viability from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247869.v1
title: Additional file 11 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 11: Table S1. Values represent Mean ± SD of % bacterial (Shigella flexneri) viability from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247875
title: Additional file 13 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 13: Table S3. Values represent Mean ± SD of % bacterial (EPEC) adherence from two independent experiments done in duplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247875.v1
title: Additional file 13 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 13: Table S3. Values represent Mean ± SD of % bacterial (EPEC) adherence from two independent experiments done in duplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247878
title: Additional file 14 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 14: Table S4. Values represent Mean ± SD of % bacterial (E. coli) invasion from two independent experiments done in duplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247872
title: Additional file 12 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 12: Table S2. Values represent Mean ± SD of % bacterial (Vibrio cholerae) viability from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247878.v1
title: Additional file 14 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 14: Table S4. Values represent Mean ± SD of % bacterial (E. coli) invasion from two independent experiments done in duplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247881
title: Additional file 15 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 15: Table S5. Values represent Mean ± SD of % bacterial (S. flexneri) invasion from two independent experiments done in duplicates. W: Shirwal; R: Rahata; Da: Dapol
DOI: 10.6084/m9.figshare.14247884
title: Additional file 16 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 16: Table S6. Values represent Mean ± SD of % cholera toxin (CT) production from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247884.v1
title: Additional file 16 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 16: Table S6. Values represent Mean ± SD of % cholera toxin (CT) production from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247887
title: Additional file 17 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 17: Table S7. Values represent Mean ± SD of % CT binding from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247887.v1
title: Additional file 17 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 17: Table S7. Values represent Mean ± SD of % CT binding from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247890
title: Additional file 18 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 18: Table S8. Values represent Mean ± SD of % labile toxin production from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247872.v1
title: Additional file 12 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 12: Table S2. Values represent Mean ± SD of % bacterial (Vibrio cholerae) viability from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.6084/m9.figshare.14247881.v1
title: Additional file 15 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 15: Table S5. Values represent Mean ± SD of % bacterial (S. flexneri) invasion from two independent experiments done in duplicates. W: Shirwal; R: Rahata; Da: Dapol
DOI: 10.6084/m9.figshare.14247890.v1
title: Additional file 18 of 1H nuclear magnetic resonance-based metabolite profiling of guava leaf extract: an attempt to develop a prototype for standardization of plant extracts

description: Additional file 18: Table S8. Values represent Mean ± SD of % labile toxin production from two independent experiments done in triplicates. B: May 2013 collection; C: October 2013 collection; D: March 2014 collection. W: Shirwal; R: Rahata; Da: Dapoli
DOI: 10.17033/data.00000237
title: Modelling of fuel droplet heating and evaporation: recent results and unsolved problems

description: The most recent developments in the modelling of heating and evaporation of fuel droplets, the results of which were published in 2014-2016, are reviewed, and the most important unsolved problems are identified. Basic principles of power law and polynomial approximations and the heat balance method for modelling the heating of non-evaporating droplets are discussed. Several approaches to modelling the heating of evaporating droplets, predicting different heating and evaporation characteristics, are compared. New results in modelling heating and evaporation of spheroidal droplets are identified. Basic principles of the Discrete Component (DC) model and its application to biodiesel fuel droplets are summarised. Main ideas of the Multidimensional Quasi-discrete (MDQD) model and its applications to Diesel and gasoline fuel droplets are discussed. New developments in gas phase evaporation models for multi-component fuel droplets are presented. A selfconsistent kinetic model for droplet heating and evaporation is described. New approaches to the estimation of the evaporation coefficient, including those taking into account quantum-chemical effects, are summarised. Among unsolved problems, the effects of non-spherical droplets, limitations of the ETC/ED model, effects of the interaction between droplets, effects of the moving interface due to evaporation, modelling of complex multi-component droplets, modelling of droplet heating and evaporation in near- and supercritical conditions, development of advanced kinetic and molecular dynamics models and effective approximation of the kinetic effects are discussed.
description: Modelling
DOI: 10.6084/m9.figshare.14247938
title: Additional file 3 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 3. Genomic gaps between MAPK strains and the K-10 strain identified by Mauve analysis.
DOI: 10.6084/m9.figshare.14247938.v1
title: Additional file 3 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 3. Genomic gaps between MAPK strains and the K-10 strain identified by Mauve analysis.
DOI: 10.6084/m9.figshare.14247941
title: Additional file 4 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 4. List of whole genome sequences analyzed in this study.
DOI: 10.6084/m9.figshare.14247941.v1
title: Additional file 4 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 4. List of whole genome sequences analyzed in this study.
DOI: 10.6084/m9.figshare.14247944
title: Additional file 5 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 5. List of pangenome data.
DOI: 10.6084/m9.figshare.14247944.v1
title: Additional file 5 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 5. List of pangenome data.
DOI: 10.6084/m9.figshare.14247950
title: Additional file 7 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 7. Cluster of genes identified as S-, B-, C-type specific.
DOI: 10.6084/m9.figshare.14247950.v1
title: Additional file 7 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 7. Cluster of genes identified as S-, B-, C-type specific.
DOI: 10.6084/m9.figshare.14247956
title: Additional file 9 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 9. List of genes mapped to virulence factor databases (VFDB, PATRIC, and Victors).
DOI: 10.6084/m9.figshare.14247956.v1
title: Additional file 9 of Genomic diversity of Mycobacterium avium subsp. paratuberculosis: pangenomic approach for highlighting unique genomic features with newly constructed complete genomes

description: Additional file 9. List of genes mapped to virulence factor databases (VFDB, PATRIC, and Victors).
DOI: 10.17033/data.00000238
title: Mathematical modelling of heating and evaporation of a spheroidal droplet

description: Most of the currently used models for droplet heating and evaporation are based on the assumption that droplets are perfect spheres. At the same time the shapes of many observed droplets in engineering applications are far from spherical. We have studied the influence of droplet non-sphericity on their heating and evaporation, approximating droplet shapes as prolate and oblate spheroids. The previously developed exact solutions to the heat and mass transfer equations for the gas phase surrounding a spheroidal droplet have been used as boundary conditions for the solutions to these equations in the liquid phase. The temperature gradients inside and at the surface of the droplets, and the changes in their shape during the heating and evaporation process have been taken into account. The effects of surface tension and droplet motion on droplet heating and evaporation are ignored. The results are applied to the analysis of heating and evaporation of an n-dodecane fuel droplet in Diesel engine-like conditions. The effect of droplet non-sphericity is shown to be relatively small for the evaporation time of these droplets with initial eccentricities 2/3 &lt;= e &lt;= 1.5.
description: Modelling
DOI: 10.5258/soton/d1485
title: Dataset for: Probing hole spin transport of disorder quantum dots via Pauli spin-blockade in standard silicon transistors

description: Data set for: Hillier, J. W. et al. (2021). Probing hole spin transport of disorder quantum dots via Pauli spin-blockade in standard silicon transistors. Journal: IOP Nanotechnology
DOI: 10.6084/m9.figshare.14247698
title: Serial section series of Bathymodiolus puteoserpentis pediveliger (1555-28)

description: Serial section series of a symbiotic<i> Bathymodiolus puteoserpentis</i> pediveliger. The mussel was sampled at the Semenov-2 vent field (13.513 N; 44.962 W) at 2446.5 m water depth in 2016. The mussel was fixed with 2.5% glutaraldehyde stored in PHEM-buffer. Sections (1.5 µm section thickness) were stained with toluidine blue.
DOI: 10.6084/m9.figshare.14247698.v1
title: Serial section series of Bathymodiolus puteoserpentis pediveliger (1555-28)

description: Serial section series of a symbiotic<i> Bathymodiolus puteoserpentis</i> pediveliger. The mussel was sampled at the Semenov-2 vent field (13.513 N; 44.962 W) at 2446.5 m water depth in 2016. The mussel was fixed with 2.5% glutaraldehyde stored in PHEM-buffer. Sections (1.5 µm section thickness) were stained with toluidine blue.
DOI: 10.15161/oar.it/73592
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.