cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8207471
title: Factors Influencing Telehealth Adoption among Consumers in Malaysia

description: This study investigates if effort expectancy, performance expectancy, computer self-efficacy, and trust influence the intention to use telehealth in Malaysia. The research proposes an extension from previous Technology Adoption Model studies, especially the Unified Hypothesis of Acceptance and Use of Technology (UTAUT), by including factors in the field of interest from the researcher.
DOI: 10.25345/c5p26qd6n
title: MassIVE MSV000092571 - GNPS_Creeping_fat_Crohns_disease
title: This dataset consists of plasma, gut and fat tissue from patients with Crohn's disease with data acquired on Orbitrap in positive ionization mode.
DOI: 10.6084/m9.figshare.23467163.v1
title: Analysis Of Carbon Nano Particle Variant As The Propellant Fuel To Increase Specific Impulses Of Rockets

description: This study uses coal and coconut shell nanocarbon variant fuels to compare the precise thrust and impulse parameters of various propellant fuels. The key factors affecting rocket performance are specific impulses and impulses. The fuel type, material composition, heat flow, and burning period characteristics all affect the precise thrust and impulses. It has been demonstrated that nanocarbon has valuable properties and a lengthy combustion time.
DOI: 10.4119/unibi/2979807
title: De novo ONT long read assembly of the A. thaliana f3h/fls1/ans triple mutant

description: We sequenced the genome of the Arabidopsis thaliana f3h/fls1/ans triple mutant (f3h (tt6-2), Col-0 background; fls1 (fls1-2), Nö-0 background; ans (tds4-4), Col-0 background) to fully characterise its insertion alleles with Oxford Nanopore Technologies (ONT) long reads. The DNA that has been sequenced was isolated form rosette leaves. Sequencing was performed on a R9.4.1 flow cell and Basecalling was carried out with Guppy v.4.2.3. The reads were assembled with Canu v2.1.1 and the assembly is available as individual FASTA file.
DOI: 10.5519/qd.hfsr2ojb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (52 records)
DOI: 10.5281/zenodo.8207395
title: single cell RNA seq cell plex and explanation - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Cell Multiplexing Oligo information and explanation of single cell RNA seq for Figure 8A and supplementary Figure 7A small intestine epithelial cells from P3H1 WT and cKO mice 3 mice per genotype and 2 biological replicates per mouse labelled by Cell Multiplexing Oligo cDNA of single cell RNA seq can be found in DOI: https://doi.org/10.5281/zenodo.8191820
DOI: 10.5281/zenodo.8207394
title: single cell RNA seq cell plex and explanation - prolyl hydroxylation of BiP potentiates UPR signaling and regulates Paneth/goblet cell fate specification

description: Cell Multiplexing Oligo information and explanation of single cell RNA seq for Figure 8A and supplementary Figure 7A small intestine epithelial cells from P3H1 WT and cKO mice 3 mice per genotype and 2 biological replicates per mouse labelled by Cell Multiplexing Oligo cDNA of single cell RNA seq can be found in DOI: https://doi.org/10.5281/zenodo.8191820
DOI: 10.5281/zenodo.7765215
title: Cold/warm gas thruster propellant ranking and performance data

description: Datasets list all propellants, and their corresponding propulsion system, mission design, and performance values, considered in the open-access research paper: J. Martinez Martinez and T. Lafleur, "On the selection of propellants for cold/warm gas propulsion systems", Acta Astronautica 212, 54 (2023). In each of the four files, propellants are ranked according to a specific performance metric: Propellant_Ranking_FP.xlsx = Thrust-to-power ratio Propellant_Ranking_Isp.xlsx = Specific impulse (impulse per propellant mass) Propellant_Ranking_Ivol.xlsx = Volumetric impulse (impulse per propellant volume) Propellant_Ranking_Ispstar.xlsx = Effective specific impulse (impulse per propulsion system wet mass; defined in the above paper) Each column in the datasets is labelled and corresponds to a specific variable used in the performance model in the paper above. The last column "Comments (E = extended properties)", highlights whether additional extrapolation of any model input physical/thermodynamic data was required. That is to say, for each propellant considered, physical data (such as the viscosity) is needed and was obtained from existing chemical databases. Such databases typically perform a regression analysis and propose empirical equations for calculating physical/thermodynamic data at a given temperature. The regression coefficients are often only valid within a certain temperature range. The label "E" in the last column indicates that data for that propellant was required at a temperature outside of this validity range. In most cases, the temperature is only just outside the validity range for some properties, and the empirical equation is still used within the model, but the label "E" has been used to signal to the reader that an extension of some empirical equations was needed.
DOI: 10.5281/zenodo.7765214
title: Cold/warm gas thruster propellant ranking and performance data

description: Datasets list all propellants, and their corresponding propulsion system, mission design, and performance values, considered in the open-access research paper: J. Martinez Martinez and T. Lafleur, "On the selection of propellants for cold/warm gas propulsion systems", Acta Astronautica 212, 54 (2023). In each of the four files, propellants are ranked according to a specific performance metric: Propellant_Ranking_FP.xlsx = Thrust-to-power ratio Propellant_Ranking_Isp.xlsx = Specific impulse (impulse per propellant mass) Propellant_Ranking_Ivol.xlsx = Volumetric impulse (impulse per propellant volume) Propellant_Ranking_Ispstar.xlsx = Effective specific impulse (impulse per propulsion system wet mass; defined in the above paper) Each column in the datasets is labelled and corresponds to a specific variable used in the performance model in the paper above. The last column "Comments (E = extended properties)", highlights whether additional extrapolation of any model input physical/thermodynamic data was required. That is to say, for each propellant considered, physical data (such as the viscosity) is needed and was obtained from existing chemical databases. Such databases typically perform a regression analysis and propose empirical equations for calculating physical/thermodynamic data at a given temperature. The regression coefficients are often only valid within a certain temperature range. The label "E" in the last column indicates that data for that propellant was required at a temperature outside of this validity range. In most cases, the temperature is only just outside the validity range for some properties, and the empirical equation is still used within the model, but the label "E" has been used to signal to the reader that an extension of some empirical equations was needed.
DOI: 10.21227/r4w1-fz84
title: A Wireless Synchronization Controller for High-Power Stationary and Semi-Dynamic Wireless Charging of Electric Vehicles: Semi-Dynamic Wireless Synchronization Demonstration

description: This paper presents a vehicle side wireless synchronization controller suitable for high-power inductive power transfer (IPT) systems for electric vehicle (EV) wireless charging under stationary and semi-dynamic conditions. The objective of this work is to enable improved functionality, efficiency, and power density of high-power IPT systems under misaligned conditions. An existing 50 kW LCL-LCL tuned IPT system with dual active bridges (DAB) demonstrates the controller’s performance. The controller utilizes a decoupled auxiliary winding integrated into the vehicle assembly (VA) magnetics to wirelessly obtain the frequency and phase reference of the ground assembly (GA) active bridge to achieve synchronous switching and phase angle control of the VA active bridge. Experiments demonstrate this controller enables a 10.6% increase in power output and a 1.1% efficiency increase in regions of low coupling. Experiments also demonstrate the controller’s suitability for semi-dynamic applications, providing average power output and efficiency increases of 14.1% and 1.8% respectively, over 90% of the dynamic experiment range of magnetic alignments. Speed of synchronization, power output quality, and ease of implementation are discussed. Challenges associated with wireless synchronization in IPT systems are investigated, and recommendations are made regarding how they can be addressed.
DOI: 10.5519/qd.9ccjpeun
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)
DOI: 10.7488/ds/7475
title: Stratified tissue biofabrication by rotational internal flow layer engineering

description: The bioassembly of layered tissue that closely mimics human histology presents challenges for tissue engineering. Existing bioprinting technologies lack the resolution and cell densities necessary to form the microscale cell-width layers commonly observed in stratified tissue, particularly when using low-viscosity hydrogels, such as collagen. Here we present rotational internal flow layer engineering (RIFLE), a novel, low-cost biofabrication technology for assembling tuneable, multi-layered tissue-like structures. Using high-speed rotating tubular moulds, small volumes of cell-laden liquids added to the inner surface were transitioned into thin layers and gelled, progressively building macroscale tubes composed of discrete microscale strata with thicknesses a function of rotational speed. Cell encapsulation enabled the patterning of high-density layers (108 cells/ml) into heterogenous constructs. RIFLE versatility was demonstrated through tunica media assembly, encapsulating human smooth muscle cells in cell-width (12.5µm) collagen layers. Such deposition of discrete microscale layers, facilitates the biofabrication of composite structures mimicking the nature of native stratified tissue. This enabling technology has the potential to allow researchers to economically create a range of representative layered tissue. The dataset relates to the publication Ian Holland, Wenmiao Shu and Jamie A. Davies (2023) "Stratified tissue biofabrication by rotational internal flow layer engineering", Biofabrication 15 045003 ( https://doi.org/10.1088/1758-5090/ace2ed ).
DOI: 10.6084/m9.figshare.23821137
title: Taxonomy and metagenome accessions of 103 microbial genomes from ballast water and sediments

description: supplementary information for Xue et al. 2023. Metagenome sequencing and 103 microbial genomes from ballast water and sediments.
DOI: 10.6084/m9.figshare.23821137.v1
title: Taxonomy and metagenome accessions of 103 microbial genomes from ballast water and sediments

description: supplementary information for Xue et al. 2023. Metagenome sequencing and 103 microbial genomes from ballast water and sediments.
DOI: 10.6084/m9.figshare.23821060.v1
title: Supplementary zip from Reports of deaths are an exaggeration: all-cause and NAA-test-conditional mortality in Germany during the SARS-CoV-2 era

description: Counts of SARS-CoV-2-related deaths have been key numbers for justifying severe political, social and economical measures imposed by authorities world-wide. A particular focus thereby was the concomitant excess mortality (EM), i.e. fatalities above the expected all-cause mortality (AM). Recent studies, <i>inter alia</i> by the WHO, estimated the SARS-CoV-2-related EM in Germany between 2020 and 2021 as high as 200 000. In this study, we attempt to scrutinize these numbers by putting them into the context of German AM since the year 2000. We propose two straightforward, age-cohort-dependent models to estimate German AM for the ‘Corona pandemic’ years, as well as the corresponding flu seasons, out of historic data. For Germany, we find overall negative EM of about <i>due to</i> rather than <i>with</i> CoViD-19; an analysis not provided by the appropriate authority, the RKI. Through 2020 and 2021 combined, our due estimate is at no more than 59 500. Varying NAA test strategies heavily obscured SARS-CoV-2-related EM, particularly within the second year of the proclaimed pandemic. We compensated changes in test strategies by assuming that age-cohort-specific NAA-conditional mortality rates during the first pandemic year reflected a SARS-CoV-2-characteristic constants.
DOI: 10.6084/m9.figshare.23812830.v17
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.6084/m9.figshare.23812830.v16
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.5281/zenodo.8207224
title: Artifacts for ICSE 2024 Paper Submission #1674

description: <strong>This data set is for ICSE 2024 Paper Submission #1674</strong>
DOI: 10.5281/zenodo.8207223
title: Artifacts for ICSE 2024 Paper Submission #1674

description: <strong>This data set is for ICSE 2024 Paper Submission #1674</strong>
DOI: 10.5281/zenodo.8055666
title: Large dataset of infancy and early childhood brain MRIs (T1w and T2w)

description: This dataset contains 833 brain MRI images (T1w and T2w) from infancy and early childhood. The age of the subjects is between 0 months and 36 months. It contains a wide range of pathologies as well as healthy subjects. It is a quite diverse dataset acquired in the clinical routine over several years (images acquired with same scanner, but different protocols). The T1w images are resampled to the shape of the T2w images. Then both are skull stripped. All details about this dataset can be found in the paper "Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans". If you use this dataset please cite our paper: https://pubs.rsna.org/doi/10.1148/ryai.220292 The metadata can be found in the table meta.csv. Description of columns:<br> <strong>myelinisation</strong>: myelin maturation status in terms of delayed, normal or accelerated according to evaluation by an expert radiologist. For more detail please see the paper.<br> <strong>age</strong>: the chronological age (in months) since birth.<br> <strong>age_corrected</strong>: the corrected chronological age (in months), which corrected for the premature babies by the number of month the baby was born before 37 weeks of gestation (in month), hence a preterm newborn gets a negative age.<br> <strong>doctor_predicted_age</strong>: the predicted age (in months) of the myelin maturation by expert radiologist (subjects with delayed myelin maturation will get lower values than their chronological age).<br> <strong>diagnosis</strong>: list of pathologies found in this dataset according to expert radiology reports.
DOI: 10.5281/zenodo.6556134
title: Large dataset of infancy and early childhood brain MRIs (T1w and T2w)

description: This dataset contains 833 brain MRI images (T1w and T2w) from infancy and early childhood. The age of the subjects is between 0 months and 36 months. It contains a wide range of pathologies as well as healthy subjects. It is a quite diverse dataset acquired in the clinical routine over several years (images acquired with same scanner, but different protocols). The T1w images are resampled to the shape of the T2w images. Then both are skull stripped. All details about this dataset can be found in the paper "Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans". If you use this dataset please cite our paper: https://pubs.rsna.org/doi/10.1148/ryai.220292 The metadata can be found in the table meta.csv. Description of columns:<br> <strong>myelinisation</strong>: myelin maturation status in terms of delayed, normal or accelerated according to evaluation by an expert radiologist. For more detail please see the paper.<br> <strong>age</strong>: the chronological age (in months) since birth.<br> <strong>age_corrected</strong>: the corrected chronological age (in months), which corrected for the premature babies by the number of month the baby was born before 37 weeks of gestation (in month), hence a preterm newborn gets a negative age.<br> <strong>doctor_predicted_age</strong>: the predicted age (in months) of the myelin maturation by expert radiologist (subjects with delayed myelin maturation will get lower values than their chronological age).<br> <strong>diagnosis</strong>: list of pathologies found in this dataset according to expert radiology reports.
DOI: 10.25678/0006js
title: Data for: Better understanding in-sewer processes with on-site continuous mass spectrometric analysis of sewer gasses

description: This package contains data regarding on-site continuous mass spectrometric analysis of sewer gasses. A portable mass spectrometer, miniRUEDI (Brennwald et al., 2016) was used for the analysis of noble gasses and CO2, CH4, O2, N2 in the sewer headspace. The monitoring points include a trunck sewer and a sump pump tank next to the experimental hall of Eawag.
DOI: 10.34740/kaggle/dsv/6235528
title: AutoXGB
DOI: 10.6084/m9.figshare.23789642
title: Web of Science Data from The evolutionary ecology of fungal killer phenotypes

description: Data required to produce Figure 3, the Web of Science assessment of past fungal killer phenotype research
DOI: 10.6084/m9.figshare.23789642.v2
title: Web of Science Data from The evolutionary ecology of fungal killer phenotypes

description: Data required to produce Figure 3, the Web of Science assessment of past fungal killer phenotype research
DOI: 10.6084/m9.figshare.23789642.v1
title: Web of Science Data from The evolutionary ecology of fungal killer phenotypes

description: Data required to produce Figure 3, the Web of Science assessment of past fungal killer phenotype research
DOI: 10.5281/zenodo.8206778
title: Eco routing studies database

description: This database provides a comprehensive overview of 30 years research in eco-navigation and eco-traffic assignment strategies (timeline, network topology, enviornomental cirteria, energy and emission savings, word analisys, used models and methods.
DOI: 10.5281/zenodo.8206779
title: Eco routing studies database

description: This database provides a comprehensive overview of 30 years research in eco-navigation and eco-traffic assignment strategies (timeline, network topology, enviornomental cirteria, energy and emission savings, word analisys, used models and methods.
DOI: 10.5281/zenodo.8207610
title: Eco routing studies database

description: This database provides a comprehensive overview of 30 years research in eco-navigation and eco-traffic assignment strategies (timeline, network topology, enviornomental cirteria, energy and emission savings, word analisys, used models and methods.
DOI: 10.5258/soton/d2730
title: Dataset supporting the article: "Low-frequency electrokinetics in a periodic pillar array for particle separation"

description: This dataset supports the publication in the Journal of Chromatography A entitled "Low-frequency electrokinetics in a periodic pillar array for particle separation". This is the original data used to create Figures 5, 6 and 8 in the paper. We also include the original measurements of maximum slip velocity on the surface of particles in the same experimental conditions reported for the original DLD experiments, i.e. 1 um and 3 um Carboxylate particles suspended in a 2.8 mS/m KCl electrolyte solution, and an applied AC field of 60 kV/m of magnitude and 50 Hz of frequency.
DOI: 10.5281/zenodo.8207628
title: Pyrite Trace Element Dataset

description: The dataset used in <em><strong>Interpreting Mineral Genesis Classification with Decision Maps: A Case Study Using Pyrite Trace Elements.</strong> </em>
DOI: 10.5281/zenodo.8207627
title: Pyrite Trace Element Dataset

description: The dataset used in <em><strong>Interpreting Mineral Genesis Classification with Decision Maps: A Case Study Using Pyrite Trace Elements.</strong> </em>
DOI: 10.25345/c5j960m2w
title: MassIVE MSV000092572 - Hymenocardia punctata leaves extract metabolite profiling
title: HRMS/MS data and associated content of the phytochemical study of Hymenocardia punctata
DOI: 10.5281/zenodo.7571201
title: Replication package for: "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment"

description: Adhvaryu, A., Molina, T., Nyshadham, A., and Tamayo, J. (forthcoming). Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment. <em>The Economic Journal</em>
DOI: 10.5281/zenodo.8206694
title: Replication package for: "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment"

description: Adhvaryu, A., Molina, T., Nyshadham, A., and Tamayo, J. (forthcoming). Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment. <em>The Economic Journal</em>
DOI: 10.5281/zenodo.7571200
title: Replication package for: "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment"

description: Adhvaryu, A., Molina, T., Nyshadham, A., and Tamayo, J. (forthcoming). Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment. <em>The Economic Journal</em>
DOI: 10.5281/zenodo.6361423
title: Induced polarization and hydraulic tomography inversion results of the Bolstern aquifer analog

description: These data are supplementary material for the following publication: Römhild, L., Fiandaca, G., Hu, L., Meyer, L., Bayer, P. (2022): Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments. Advances in Water Resources, 170, 104322.<br> https://doi.org/10.1016/j.advwatres.2022.104322. The data set presents Induced Polarisation (IP) and Hydraulic Tomography (HT) inversion results achieved from synthetic experiments on the Bolstern aquifer analog. It consists of the original Bolstern data set (hydraulic conductivity and porosity information) as described in Heinz et al. (2003) as well as the IP and HT inversion results with three different spacings (0.25 m, 0.5 m, 1 m) and two additional IP calibration approaches (factor and exponential calibration). All results are given as 2D cross-sections with the corresponding K-information.
description: {"references": ["Heinz, J., Kleineidam, S., Teutsch, G., & Aigner, T. (2003). Heterogeneity patterns of quaternary glaciofluvial gravel bodies (sw-germany): application to hydrogeology. Sedimentary Geology, 158 , 1-23. doi: https://doi.org/10.1016/S0037-0738(02)00239-7"]}