cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24612048.v1
title: Supplementary Material for: Sampling from extracorporeal circuit: a step forward for dose monitoring in CRRT

description: Introduction: Continuous renal replacement therapies (CRRT) require constant monitoring and periodic treatment readjustments, being applied to highly complex patients, with rapidly changing clinical needs. To promote precision medicine in the field of renal replacement therapy and encourage dynamic prescription, the Acute Dialysis Quality Initiative (ADQI) recommends periodically measuring the solutes extracorporeal clearance with the aim of assessing the current treatment delivery and the gap from the therapeutic prescription (often intended as effluent dose). To perform this procedure, it is therefore necessary to obtain blood and effluent samples from the extracorporeal circuit to measure the concentrations of a target solute (usually represented by urea) prefilter, post-filter and in the effluent line. However, samples must be collected simultaneously from the extracorporeal circuit ports, with the same suction flow at unknown rate. Methods: The proposed study takes the first steps toward identifying the technical factors that should be considered in determining the optimal suction rate to collect samples from the extracorporeal circuit to measure the extracorporeal clearance for a specific solute. Results: The results obtained identify the low suction rate (i.e., 1 ml/min) as an ideal parameter for an adequate sampling method. Low velocities do not perturb the external circulation system and ensure stable prevailing pressures in the circuit. Higher velocities can be allowed only with blood flows above 120 ml/min preferably in conditions of appropriate filtration fraction. Discussion/Conclusions: The specific value of aspiration flow rate must be proportioned to the prescription of CRRT treatments set by the clinician.
DOI: 10.5281/zenodo.7976289
title: A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing

description: Dataset to produce the results of the publication: "A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing" The dataset contains: Large-Eddy Simulation (LES) model configuration files Selected output data of the LES experiments Data and analysis scripts for the figures The rendered camera images The cloud field, cloud hulls, and reconstructed hulls This research is supported by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID bb1086. The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM.
DOI: 10.5281/zenodo.10143657
title: A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing

description: Dataset to produce the results of the publication: "A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing"


The dataset contains:



	
Large-Eddy Simulation (LES) model configuration files
	
Selected output data of the LES experiments
	
Data and analysis scripts for the figures
	
The rendered camera images
	
The cloud field, cloud hulls, and reconstructed hulls



 


This research is supported by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID bb1086. The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM.
DOI: 10.5281/zenodo.10185345
title: A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing

description: Dataset to produce the results of the publication: "A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing"
The dataset contains:

Large-Eddy Simulation (LES) model configuration files
Selected output data of the LES experiments
Data and analysis scripts for the figures
The rendered camera images
The cloud field, cloud hulls, and reconstructed hulls
A frozen version of the open-source Blender code (version 2.90) as used in this study
For the latest version of Blender, please visit:
www.blender.org
It is important to note that the method was specifically tested only on version 2.90.
 
This research is supported by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID bb1086. The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM.
DOI: 10.5281/zenodo.7976288
title: A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing

description: Dataset to produce the results of the publication: "A Stereo Camera Simulator for Large-Eddy Simulations of Continental Shallow Cumulus clouds based on three-dimensional Path-Tracing"
The dataset contains:

Large-Eddy Simulation (LES) model configuration files
Selected output data of the LES experiments
Data and analysis scripts for the figures
The rendered camera images
The cloud field, cloud hulls, and reconstructed hulls
A frozen version of the open-source Blender code (version 2.90) as used in this study
For the latest version of Blender, please visit:
www.blender.org
It is important to note that the method was specifically tested only on version 2.90.
 
This research is supported by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID bb1086. The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM.
DOI: 10.5281/zenodo.10179395
title: Differential expression analysis of isomiRs in 28 miRNA-seq datasets
DOI: 10.5281/zenodo.10179396
title: Differential expression analysis of isomiRs in 28 miRNA-seq datasets
DOI: 10.4121/29f384af-b426-4c2f-8c5e-33f2ec0d6975
title: Data underlying the publication: Mitigating ecosystem impacts of bottom trawl fisheries for North Sea sole Solea solea by replacing mechanical with electrical stimulation

description: The csv data file “SAR_TBB.csv” contains data on habitat characteristics and fishing effort of the Dutch beam trawl fleet by grid cells of 1 minute longitude * 1 minute latitude in the North Sea used to study the changes in trawling impact on the benthic ecosystem due to the transition from conventional beam trawling to pulse trawling. Habitat variables include %sand, %gravel, %mud, bed shear stress (N.m-2) and level 3 EUNIS habitat type. Fishing effort, expressed as the annual swept area ratio (area swept by the gear in km2 / surface area of the grid cell (km2)), is given for the total Dutch beam trawl fleet and for a subset of vessels holding a pulse license (PLH) when fishing with the conventional beam trawl gear (PLH.T.year) or with the innovative pulse trawl (PLH.P.year).
DOI: 10.4121/29f384af-b426-4c2f-8c5e-33f2ec0d6975.v2
title: Data underlying the publication: Mitigating ecosystem impacts of bottom trawl fisheries for North Sea sole Solea solea by replacing mechanical with electrical stimulation

description: The csv data file “SAR_TBB.csv” contains data on habitat characteristics and fishing effort of the Dutch beam trawl fleet by grid cells of 1 minute longitude * 1 minute latitude in the North Sea used to study the changes in trawling impact on the benthic ecosystem due to the transition from conventional beam trawling to pulse trawling. Habitat variables include %sand, %gravel, %mud, bed shear stress (N.m-2) and level 3 EUNIS habitat type. Fishing effort, expressed as the annual swept area ratio (area swept by the gear in km2 / surface area of the grid cell (km2)), is given for the total Dutch beam trawl fleet and for a subset of vessels holding a pulse license (PLH) when fishing with the conventional beam trawl gear (PLH.T.year) or with the innovative pulse trawl (PLH.P.year).
DOI: 10.6084/m9.figshare.24297025
title: 无标题项目

description: hghuyghjvbn
DOI: 10.6084/m9.figshare.24297025.v3
title: 无标题项目

description: hghuyghjvbn
DOI: 10.6084/m9.figshare.24297025.v2
title: 无标题项目

description: hghuyghjvbn
DOI: 10.18712/nsd-nsd3113-v5
title: Norwegian Citizen Panel Round 25, 2022

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time in the fall of 2013, and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 25, 2022  also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at https://www.uib.no/en/citizen. 

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd3127-v5
title: Norwegian Citizen Panel Round 26, 2023

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time in the fall of 2013, and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 26, 2023 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. Round 26 contains coordinated questions with other panels, and that 'k2' after the round number indicates coordinated questions. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research . The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at uib.no/en/citizen

Some of the questions in wave 26 are part of a system of coordinated surveys (“KODEM Light”), which also collects information about beliefs and convictions of elected representatives (uib.no/representant), and government employees (uib.no/NFP). This mode of data collection enables innovative research of groups that comprise parts of the political body in Norway.

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5281/zenodo.10103922
title: Dataset for "A Family of Di-Glutamate Mucin Degrading Enzymes that Bridges Glycan Hydrolases and Peptidases"

description: This dataset provides the classical and QM/MM MD simulation trajectory data to the manuscript:
A Family of Di-Glutamate Mucin Degrading Enzymes that Bridges Glycan Hydrolases and Peptidases
The data set contains classical MD simulations of  HC7 with substrate peptides, thermodynamics integration (TI) simulations, as well as QM/MM OPES-explore simulations for our manuscript. PDB files for Figure 4f and Figure S21 are also included. A high resolution pdf file of Figure S28 is included, too.
DOI: 10.5281/zenodo.10103923
title: Dataset for "A Family of Di-Glutamate Mucin Degrading Enzymes that Bridges Glycan Hydrolases and Peptidases"

description: This dataset provides the classical and QM/MM MD simulation trajectory data to the manuscript:
A Family of Di-Glutamate Mucin Degrading Enzymes that Bridges Glycan Hydrolases and Peptidases
The data set contains classical MD simulations of  HC7 with substrate peptides, thermodynamics integration (TI) simulations, as well as QM/MM OPES-explore simulations for our manuscript. PDB files for Figure 4f and Figure S21 are also included. A high resolution pdf file of Figure S28 is included, too.
DOI: 10.6084/m9.figshare.24612087
title: Data to run visualization tutorial (https://panpipes-tutorials.readthedocs.io/en/latest/visualization/vis_with_panpipes.html)

description: Preprocessed & clustered subsample of the teaseq dataset.
DOI: 10.25403/upresearchdata.24598980.v1
title: Data analysis of factors influencing South Africans' cybersecurity behaviour

description: This dataset consists of quantitative data collection that was done and used in a Master's dissertation titled "Empirical investigation of the determinants of cybersecurity behaviour among South Africans". The dataset contains the respondents answers to the online questionnaire that was conducted from 1 February 2022 to 15 March 2022. The dataset measured respondents answers in relation to eight factors that were measured (Behavioural Intention, attitude towards good cybersecurity behaviour, subjective norms, self-efficacy, perceived severity, perceived vulnerability, response efficacy, and response cost). Under each factor, there are multiple questionnaire items, which were developed and guided by previous studies. The dataset uses the five-point Likert Scale, where one is strongly disagree and five is strongly agree. The statistical analysis techniques where conducted using IBM AMOS SPSS 28 Graphics and SPSS version 28.
DOI: 10.25403/upresearchdata.24598980
title: Data analysis of factors influencing South Africans' cybersecurity behaviour

description: This dataset consists of quantitative data collection that was done and used in a Master's dissertation titled "Empirical investigation of the determinants of cybersecurity behaviour among South Africans". The dataset contains the respondents answers to the online questionnaire that was conducted from 1 February 2022 to 15 March 2022. The dataset measured respondents answers in relation to eight factors that were measured (Behavioural Intention, attitude towards good cybersecurity behaviour, subjective norms, self-efficacy, perceived severity, perceived vulnerability, response efficacy, and response cost). Under each factor, there are multiple questionnaire items, which were developed and guided by previous studies. The dataset uses the five-point Likert Scale, where one is strongly disagree and five is strongly agree. The statistical analysis techniques where conducted using IBM AMOS SPSS 28 Graphics and SPSS version 28.
DOI: 10.6084/m9.figshare.24557236
title: 番红花（Crocus sativus L.）微生物群落多样性

description: 环境样本描述：番红花叶片、球茎、根和根际土壤的细菌和真菌群落
DOI: 10.6084/m9.figshare.24557236.v1
title: 番红花（Crocus sativus L.）微生物群落多样性

description: 环境样本描述：番红花叶片、球茎、根和根际土壤的细菌和真菌群落
DOI: 10.25403/upresearchdata.24581250
title: Future work-self, goal engagement, goal disengagement and resilience in student career choices

description: The statistical analysis for this study was carried out using IBM SPSS version 28. The dataset uploaded is to be opened using SPSS. The data set contains the anonymised raw data for the variables of future work-self, resilience, goal engagement, and goal disengagement of university students, during a study conducted in November and December 2021. This dataset was cleaned and used to conduct structural equation modelling in a study where the relationships between these constructs were examined. Item level data is available.
DOI: 10.25403/upresearchdata.24581250.v1
title: Future work-self, goal engagement, goal disengagement and resilience in student career choices

description: The statistical analysis for this study was carried out using IBM SPSS version 28. The dataset uploaded is to be opened using SPSS. The data set contains the anonymised raw data for the variables of future work-self, resilience, goal engagement, and goal disengagement of university students, during a study conducted in November and December 2021. This dataset was cleaned and used to conduct structural equation modelling in a study where the relationships between these constructs were examined. Item level data is available.
DOI: 10.26106/2nhe-4h81
title: Research datasets of the article: "The chemistry and histology of sexually dimorphic mental glands in the freshwater turtle, Mauremys leprosa"

description: Two excel files compressed. Database with the amounts (relative areas or ratios) of the compounds is available as a Supplemental File. A second database contains percentages of the compounds and can also be found in the Supplemental Files. In both databases metadata of the samples is available. Compounds were numbered with placeholders and the corresponding compound name is shown in the second sheet of the excel file. Both excel files contain the initial 38 samples, but sample TRT55 was excluded for any further analysis as had only one compound.
DOI: 10.6084/m9.figshare.24434026
title: Supplementary Material for: Alcohol use disorder in the general population in sub-Saharan Africa

description: Introduction: Alcohol use disorder is one of the major risk factors for population health worldwide. In some regions, this disorder remains underdiagnosed. This is particularly the case in sub-Saharan Africa, where data on this disease in the general population remains scarce. The aim of this review was to describe the characteristics of Alcohol Use Disorder in sub-Saharan Africa. Methods: We have conducted a systematic review according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, Web of Science, African Journals Online, PsycINFO, Cochrane, and Scopus were investigated. Studies were included if they were conducted in a general population using a validated assessment tool. Results: A total of 16 articles were selected and were conducted in 8 sub-Saharan African countries. The prevalence of Alcohol Use Disorder ranged from 0.1% to 33.2% in Nigeria. The most commonly used screening tool was the Alcohol Use DIsorders Test and among the factors associated with the AUD, we find mainly male gender, low income, Catholic religion and the presence of a psychiatric comorbidity. Conclusion: In sub-Saharan Africa, too few studies have investigated the Alcohol Use Disorder in the general population with validated diagnostic tools. Prevalence data seem to vary widely between and even within countries. The main factors associated with AUD are those found in the Western literature. The wide variety of assessment tools used to screen for alcohol use disorder makes it difficult to compare prevalences across countries.
DOI: 10.6084/m9.figshare.24434026.v1
title: Supplementary Material for: Alcohol use disorder in the general population in sub-Saharan Africa

description: Introduction: Alcohol use disorder is one of the major risk factors for population health worldwide. In some regions, this disorder remains underdiagnosed. This is particularly the case in sub-Saharan Africa, where data on this disease in the general population remains scarce. The aim of this review was to describe the characteristics of Alcohol Use Disorder in sub-Saharan Africa. Methods: We have conducted a systematic review according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, Web of Science, African Journals Online, PsycINFO, Cochrane, and Scopus were investigated. Studies were included if they were conducted in a general population using a validated assessment tool. Results: A total of 16 articles were selected and were conducted in 8 sub-Saharan African countries. The prevalence of Alcohol Use Disorder ranged from 0.1% to 33.2% in Nigeria. The most commonly used screening tool was the Alcohol Use DIsorders Test and among the factors associated with the AUD, we find mainly male gender, low income, Catholic religion and the presence of a psychiatric comorbidity. Conclusion: In sub-Saharan Africa, too few studies have investigated the Alcohol Use Disorder in the general population with validated diagnostic tools. Prevalence data seem to vary widely between and even within countries. The main factors associated with AUD are those found in the Western literature. The wide variety of assessment tools used to screen for alcohol use disorder makes it difficult to compare prevalences across countries.