cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-857049
title: Gaining Consensus on Emotional Wellbeing Themes and Preferences for Digital Intervention Type and Content To Support the Mental Health of Young People With Long-Term Health Conditions: A Delphi Study, 2022

description: Background: Young people (YP) with long-term conditions (LTCs) are at greater risk of psychological distress than those without LTCs. Despite this, there is a scarcity of quality digital interventions designed to help improve mental well-being in this population The aim of this study was to determine what YP, parents and health professionals preferred for future interventions. 
Methods: 26 YP with asthma, diabetes and/or epilepsy (the 3 most common LTCs in YP), 23 parents of YP with LTCs and 10 health professionals mainly in paediatric specialisms (total n= 59) took part in an online Delphi study to gain consensus (set at 75% agreement) on 4 questions across 3 rounds. Participants ordered psychological themes that may be experienced by YP with LTCs by importance and ranked digital intervention types and delivery modes by importance or usefulness. The most common results were reported if no consensus was reached by round 3.
Results: Participants preferred a mobile phone app (73% agreement) and a mixture of one-on-one and group support for an intervention (75% agreement). The two highest ranked psychological themes were anxiety (44%) and wanting to appear normal (38%), and the top intervention type was ‘general counselling’ (54% agreement). 
Conclusion: There was a clear desire for an app to help with the psychological aspects of living with LTCs and for a combination of one-to-one and group intervention elements. Anxiety and wanting to appear ‘normal’ might be two closely linked psychological challenges that could be addressed by a single intervention. 
Implications: The results will be important to consider for a future intervention, although further consultation will be needed for app development. 
Patient or Public Contribution: 2 YP with a LTC provided feedback on the study protocol including the aims and procedures of the project. Another 6 YP with LTCs were consulted on an early draft of the study questionnaire (the 4 questions) which was subsequently revised. Once the project began, a PPI group consisting of two young people with LTCs and one parent of a YP with a LTC gave feedback on the research process, lay report of the results and dissemination plan.
DOI: 10.5281/zenodo.10837518
title: Membrane mesh and tomogram with SARS-CoV-2 intact virions

description: Membrane mesh and tomogram with SARS-CoV-2 intact virions. These data were originally published in Ke et al., Nature, 2020. The tomograms were accessed from the Cryo-ET Data Portal. Raw data is available from EMPIAR-10493. The membrane segmentation was created using MemBrain-seg.
DOI: 10.5281/zenodo.10837519
title: Membrane mesh and tomogram with SARS-CoV-2 intact virions

description: Membrane mesh and tomogram with SARS-CoV-2 intact virions. These data were originally published in Ke et al., Nature, 2020. The tomograms were accessed from the Cryo-ET Data Portal. Raw data is available from EMPIAR-10493. The membrane segmentation was created using MemBrain-seg.
DOI: 10.5281/zenodo.10837498
title: THE IMPACT OF DIGITAL TECHNOLOGY IN OPERATION OF ECONOMIC ORGANIZATION
DOI: 10.5281/zenodo.10837499
title: THE IMPACT OF DIGITAL TECHNOLOGY IN OPERATION OF ECONOMIC ORGANIZATION
DOI: 10.6084/m9.figshare.24769494
title: Untitled Item

description: This repository includes all code and data for causal inference over the knowledge graph, it includes experiments over four datasets: the synthetic review dataset, the open review dataset, the subset of DBpedia related to the writer, the MIMIC-III (we don't offer the data due to confidential issue).
DOI: 10.5281/zenodo.10837613
title: ОЦЕНКА ПРИРОСТА КОНЕЧНОГО КОЭФФИЦИЕНТА ИЗВЛЕЧЕНИЯ НЕФТИ
DOI: 10.5281/zenodo.10837614
title: ОЦЕНКА ПРИРОСТА КОНЕЧНОГО КОЭФФИЦИЕНТА ИЗВЛЕЧЕНИЯ НЕФТИ
DOI: 10.6084/m9.figshare.25434874
title: Regenerated that compile (Infer)

description: Regenerated that compile (Infer)
DOI: 10.6084/m9.figshare.25434874.v1
title: Regenerated that compile (Infer)

description: Regenerated that compile (Infer)
DOI: 10.6084/m9.figshare.25434880
title: Regenerated that compile (Mopsa)

description: Regenerated that compile (Mopsa)
DOI: 10.6084/m9.figshare.25434880.v1
title: Regenerated that compile (Mopsa)

description: Regenerated that compile (Mopsa)
DOI: 10.5281/zenodo.10837627
title: MECHANISM OF BUDGET POLICY IMPLEMENTATION IN ENSURING MACROECONOMIC BALANCE IN OUR COUNTRY
DOI: 10.5281/zenodo.10837628
title: MECHANISM OF BUDGET POLICY IMPLEMENTATION IN ENSURING MACROECONOMIC BALANCE IN OUR COUNTRY
DOI: 10.5281/zenodo.10837641
title: O'ZBEKISTONDA MUSIQA VA SAN'AT TURIZMINING SHAKLLANISHI VA UNI RIVOJLANTIRISH.
DOI: 10.5281/zenodo.10837642
title: O'ZBEKISTONDA MUSIQA VA SAN'AT TURIZMINING SHAKLLANISHI VA UNI RIVOJLANTIRISH.
DOI: 10.5281/zenodo.10837631
title: Dataset Internal Communication and Job Satisfaction 2019-2024
DOI: 10.5281/zenodo.10837632
title: Dataset Internal Communication and Job Satisfaction 2019-2024
DOI: 10.25345/c5df6kf0v
title: MassIVE MSV000094356 - GCC-SPE_oligosaccharides_extracts_seawater_LC-MS
title: HILIC-MS dataset of oligosaccharide standards and non-porous graphitised carbon cartridge solid-phase extracts (GCC-SPE) from filtered seawater collected from the surface and deep ocean on two research cruises.
DOI: 10.5281/zenodo.10588072
title: Deep Learning-Based Prediction of Global Ionospheric TEC during Storm Periods: Mixed CNN-BiLSTM Method
DOI: 10.5281/zenodo.10588071
title: Deep Learning-Based Prediction of Global Ionospheric TEC during Storm Periods: Mixed CNN-BiLSTM Method
DOI: 10.5281/zenodo.10837607
title: Deep Learning-Based Prediction of Global Ionospheric TEC during Storm Periods: Mixed CNN-BiLSTM Method
DOI: 10.5281/zenodo.10837659
title: ORGANIZATIONAL ACTIVITY OF THE DEPARTMENT OF PHYSICS, MATHEMATICS AND TECHNICAL SCIENCES OF THE UZBEKISTAN ACADEMY OF SCIENCES
DOI: 10.5281/zenodo.10837660
title: ORGANIZATIONAL ACTIVITY OF THE DEPARTMENT OF PHYSICS, MATHEMATICS AND TECHNICAL SCIENCES OF THE UZBEKISTAN ACADEMY OF SCIENCES
DOI: 10.5281/zenodo.4075043
title: Community Docker Hub images and the third-party (JavaScript, Python and Ruby) packages installed in them

description: This dataset comes with the replication package provided for a study that we carried out on third-party JavaScript, Python and Ruby packages installed in DockerHub images.

The replication package can be found in: https://github.com/neglectos/3dPartyPackages_Docker/
DOI: 10.5281/zenodo.4075044
title: Community Docker Hub images and the third-party (JavaScript, Python and Ruby) packages installed in them

description: This dataset comes with the replication package provided for a study that we carried out on third-party JavaScript, Python and Ruby packages installed in DockerHub images.

The replication package can be found in: https://github.com/neglectos/3dPartyPackages_Docker/
DOI: 10.5281/zenodo.10837683
title: THE IMPORTANCE OF TIME MANAGEMENT IN TEACHING PROCESS
DOI: 10.5281/zenodo.10837684
title: THE IMPORTANCE OF TIME MANAGEMENT IN TEACHING PROCESS
DOI: 10.26050/wdcc/precextr100yr
title: Modelled non-stationary kilometer-scale hourly precipitation extremes of a 100-year event under 2 GWL scenarios for Germany

description: Project: Klimawandelanpassung auf lokaler Ebene - The KARE project (https://www.fona.de/de/massnahmen/foerdermassnahmen/RegIKlim/kare.php) investigates the local impact of climate change and the associated consequences for the municipalities of the Bavarian Oberland, particularly concerning heavy rainfall events. The project aims to sensitize the towns and municipalities of Oberland to the consequences of climate change and, together with stakeholders from politics, business, and society, to develop and test practical instruments for municipal heavy rainfall risk management.
The Federal Ministry of Education and Research (BMBF) funded the project and is embedded in the nationwide research initiative RegIKlim (Regional Information on Climate Action).
Summary: Given the importance of sub-daily extreme precipitation events for the occurrence of pluvial floods, it is a key component in climate change adaptation to quantify the likelihood of such extreme events under current and future climate conditions. Such assessments are usually limited by a lack of sufficiently dense and sub-daily precipitation observations, (ii) high-resolution convection-permitting regional climate model (CPM) simulations that realistically represent sub-daily precipitation extremes, and (iii) statistical methods that allow us to extrapolate extreme precipitation return levels under limited data availability and non-stationary conditions (i.e., climate change) based on the main governing physical processes.
We overcome these constraints through the utilization of kilometer-scale hourly radar precipitation estimates (RADKLIM) and spatially disaggregated observed daily temperature data (HYRAS-DE-TAS), and the implementation of a novel CPM ensemble covering the entirety of Germany, obtained from the NUKLEUS project within the BMBF-funded RegIKlim (Regionale Information zum Klimahandeln) initiative. Additionally, we introduce the Temperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX) model, a new approach that integrates daily temperature as a covariate, aligning with observed Clausius-Clapeyron scaling rates. This innovation results in a groundbreaking dataset of hourly extreme precipitation for Germany, marking the first instance of accounting for non-stationary climate conditions, i.e., in a +2K and +3K warmer world. The new dataset contains kilometer-scale hourly precipitation extremes for the return level of a 100-year event. Due to the inherent biases of radar-based estimates compared to ground observations, the precipitation extremes have been bias-adjusted on return level basis using KOSTRA.
DOI: 10.5281/zenodo.10836916
title: Predicting zeta potential of liposomes from their structure: A nano-QSAR model for DOPE, DC-Chol, DOTAP, and EPC formulations

description: Data set for publication:  "Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations."; Computational and Structural Biotechnology Journal 25 (2024) 3–8; https://doi.org/10.1016/j.csbj.2024.01.012
DOI: 10.5281/zenodo.10836917
title: Predicting zeta potential of liposomes from their structure: A nano-QSAR model for DOPE, DC-Chol, DOTAP, and EPC formulations

description: Data set for publication:  "Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations."; Computational and Structural Biotechnology Journal 25 (2024) 3–8; https://doi.org/10.1016/j.csbj.2024.01.012
DOI: 10.5281/zenodo.10837698
title: МАЪНАВИЙ-МАЪРИФИЙ ИШЛАР ВА ЗАМОНАВИЙ ТАРҒИБОТ ТЕХНОЛОГИЯЛАРИ ТУШУНЧАСИ ВА МОХИЯТИ
DOI: 10.5281/zenodo.10837697
title: МАЪНАВИЙ-МАЪРИФИЙ ИШЛАР ВА ЗАМОНАВИЙ ТАРҒИБОТ ТЕХНОЛОГИЯЛАРИ ТУШУНЧАСИ ВА МОХИЯТИ
DOI: 10.5281/zenodo.10837719
title: THE EMERGENCE OF THE GENRE OF "FOLK STAGE DANCE" AND THE STAGES OF ITS DEVELOPMENT AS A SCIENCE
DOI: 10.5281/zenodo.10837720
title: THE EMERGENCE OF THE GENRE OF "FOLK STAGE DANCE" AND THE STAGES OF ITS DEVELOPMENT AS A SCIENCE
DOI: 10.5281/zenodo.10829859
title: Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset

description: Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset.

In the study titled “Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades”, four different types of glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%. Furthermore, these glass fibre types were used to manufacture composite specimens and characterised by static tension tests in fibre and transverse directions. 

This dataset is a collection of 13 Excel files.

The “Glass fibre properties and Weibull analysis” Excel file summarise the single fibre tensile testing of glass fibre types and strength analysis using unimodal 2-parameter Weibull theory. There are four sheets in the Excel files for 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt% glass fibres. 

The Excel files “Single glass fibres-Stress-strain curves-0 %, 1.64 %, 1.90 %, 1.96 %” contains the raw data of individual fibres obtained from the single fibre tensile testing experiments.

There are eight Excel files containing the raw data of static tensile tests in the fibre and transverse direction of the composites made with glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%.
DOI: 10.5281/zenodo.10829860
title: Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset

description: Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset.

In the study titled “Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades”, four different types of glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%. Furthermore, these glass fibre types were used to manufacture composite specimens and characterised by static tension tests in fibre and transverse directions. 

This dataset is a collection of 13 Excel files.

The “Glass fibre properties and Weibull analysis” Excel file summarise the single fibre tensile testing of glass fibre types and strength analysis using unimodal 2-parameter Weibull theory. There are four sheets in the Excel files for 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt% glass fibres. 

The Excel files “Single glass fibres-Stress-strain curves-0 %, 1.64 %, 1.90 %, 1.96 %” contains the raw data of individual fibres obtained from the single fibre tensile testing experiments.

There are eight Excel files containing the raw data of static tensile tests in the fibre and transverse direction of the composites made with glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%.
DOI: 10.6084/m9.figshare.22695634.v1
title: Study of words and icons related to social networks: familiarity, valence and activation in Spanish university students

description: The aim of this study is to create a freely accessible database containing variables of words and icons related to social networks nowadays. The study describes the responses of a sample of students on the familiarity, emotional valence and activation of 42 words related to social networks and their corresponding icons. It also studies 42 animals and their corresponding icons that may be useful as control stimuli in experimental studies. The results obtained show gender differences in the familiarity of some words and icons. In addition, differences in the valuation of words versus their respective icons have been found in words that can be represented pictorially in numerous ways. This suggests that the lack of a direct correlate between a word and its icon might influence participants' ratings. The materials provided by this work allow us to broaden our understanding of the lexicon used in the field of ICT and open up the possibility of manipulating variables in experimental work on the use, abuse or dependence on social networks in Spain.
DOI: 10.6084/m9.figshare.25434892
title: FTT&Walk&SLS_Non_Linear.xlsx

description: Background: Fine and gross motor tasks are usually used to evaluate behavioral dysfunctions and can be applied to diseases of the central nervous system, such as fibromyalgia (FM). Non-linear measures have allowed for deeper motor control analysis, focusing on the process and on the quality of movement. Therefore, to assess uncertainty, irregularity, and structural richness of a time series, different algorithms of entropy can be computed. The aim of this study was to (i) verify the single-scale and multiscale entropy values in fine and gross motor movements and (ii) to verify whether fine and gross motor tasks are sensitive to characterizing FM patients. Methods: The sample consisted of 20 females (46.2 ± 12.8 years) divided in two groups, an experimental group with 10 FM subjects and a control group with 10 subjects without FM. Inertial sensors were used to collect the finger tapping test (FTT), walking, and sit-and-stand task data. Results: Regarding fine motor skills, patients with FM showed a loss of structural richness (complexity), but they had information processing with greater control in the FTT, probably to simplify task execution and for correction of the movement. On the other hand, people without FM seemed to have more automatic control of the movement when performed with the preferred hand and exhibited similar difficulties to the FM group when performed with the non-preferred hand. Gross motor tasks showed similar entropy values for both groups. Conclusions: The results show that FM patients have movement controls primarily at the level of the motor cortex, whereas people without FM perform movement at the medullary level, especially in fine motor tasks, indicating that the FTT is sensitive to the presence of FM, especially when performed with the preferred hand.
DOI: 10.6084/m9.figshare.25434892.v1
title: FTT&Walk&SLS_Non_Linear.xlsx

description: Background: Fine and gross motor tasks are usually used to evaluate behavioral dysfunctions and can be applied to diseases of the central nervous system, such as fibromyalgia (FM). Non-linear measures have allowed for deeper motor control analysis, focusing on the process and on the quality of movement. Therefore, to assess uncertainty, irregularity, and structural richness of a time series, different algorithms of entropy can be computed. The aim of this study was to (i) verify the single-scale and multiscale entropy values in fine and gross motor movements and (ii) to verify whether fine and gross motor tasks are sensitive to characterizing FM patients. Methods: The sample consisted of 20 females (46.2 ± 12.8 years) divided in two groups, an experimental group with 10 FM subjects and a control group with 10 subjects without FM. Inertial sensors were used to collect the finger tapping test (FTT), walking, and sit-and-stand task data. Results: Regarding fine motor skills, patients with FM showed a loss of structural richness (complexity), but they had information processing with greater control in the FTT, probably to simplify task execution and for correction of the movement. On the other hand, people without FM seemed to have more automatic control of the movement when performed with the preferred hand and exhibited similar difficulties to the FM group when performed with the non-preferred hand. Gross motor tasks showed similar entropy values for both groups. Conclusions: The results show that FM patients have movement controls primarily at the level of the motor cortex, whereas people without FM perform movement at the medullary level, especially in fine motor tasks, indicating that the FTT is sensitive to the presence of FM, especially when performed with the preferred hand.
DOI: 10.6084/m9.figshare.19609586
title: Computational methods for a copula-based Markov chain model with a binomial time series

description: A copula-based Markov chain model can flexibly capture serial dependence in a time series. However, the computational developments for copula-based Markov models remain insufficient for discrete marginal models compared with continuous ones. In this article, we develop computational methods for a binomial time series under the Clayton and Joe copulas. The methods include the data-generation, parameter estimation, model selection, and goodness-of-fit tests. We implement the methods in our R package <i>Copula.Markov</i> (https://CRAN.R-project.org/package=Copula.Markov). We conduct simulations to see the performance of the developed methods. Finally, the proposed method is illustrated by a real dataset.
DOI: 10.6084/m9.figshare.19425218
title: Single-stage sampling procedure for heteroscedasticity in multiple comparisons with a control

description: Given <i>k</i> (≥2) independent and normally distributed populations with unknown means and unknown (and possibly unequal) variances, we used the single-stage sampling procedure for multiple comparison with a control to the problem of unequal sample sizes. A simulation of the family-wise error type I was conducted to validate the quality of the procedure and a numerical example was provided for illustrating this procedure. We provided a user-friendly interface by <i>R</i> shiny to obtain the critical values for the practitioners.
DOI: 10.6084/m9.figshare.19609586.v1
title: Computational methods for a copula-based Markov chain model with a binomial time series

description: A copula-based Markov chain model can flexibly capture serial dependence in a time series. However, the computational developments for copula-based Markov models remain insufficient for discrete marginal models compared with continuous ones. In this article, we develop computational methods for a binomial time series under the Clayton and Joe copulas. The methods include the data-generation, parameter estimation, model selection, and goodness-of-fit tests. We implement the methods in our R package <i>Copula.Markov</i> (https://CRAN.R-project.org/package=Copula.Markov). We conduct simulations to see the performance of the developed methods. Finally, the proposed method is illustrated by a real dataset.
DOI: 10.6084/m9.figshare.19692246
title: The Pareto type I joint frailty-copula model for clustered bivariate survival data

description: Clustered bivariate survival data arise in various fields, such as biology and medicine, when individuals in a dataset are clustered and exhibit two survival outcomes. Recently, the joint frailty-copula model was proposed to analyze clustered bivariate survival outcomes by accommodating the between-cluster heterogeneity via a shared frailty term. In this model, researchers fitted the baseline hazard functions via the nonparametric model, the spline model, or the Weibull model. However, when a population has extremely large survival time, the baseline hazard functions are better modeled by a heavy-tailed distribution. In this paper, we adopt the Pareto type I distribution for the joint frailty-copula model, which is one of the most popular heavy-tailed distributions. We show that the moments of the Pareto type I joint frailty copula model diverge to infinity owing to the heavy right-tail. We develop statistical inference methods based on three types of censoring schemes: (i) bivariate random censoring, (ii) semi-competing risks, and (iii) competing risks. We develop maximum likelihood estimation procedures, and make our computational tools available for users. Simulations are performed to check the accuracy of the proposed method. We finally analyze a real dataset for illustration.
DOI: 10.6084/m9.figshare.19425218.v1
title: Single-stage sampling procedure for heteroscedasticity in multiple comparisons with a control

description: Given <i>k</i> (≥2) independent and normally distributed populations with unknown means and unknown (and possibly unequal) variances, we used the single-stage sampling procedure for multiple comparison with a control to the problem of unequal sample sizes. A simulation of the family-wise error type I was conducted to validate the quality of the procedure and a numerical example was provided for illustrating this procedure. We provided a user-friendly interface by <i>R</i> shiny to obtain the critical values for the practitioners.