cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cptf8c5h74.1
title: Steady State 2D Regularized Lid-Driven Cavity Low-resolution Spatiotemporal Snapshots - Part 1

description: This data was generated using the pseudo-spectral DNS method outlined in Lee, Dowell, and Balajewicz CNSNS (2017). Filenames denote Reynolds number. Each file contains a velocity snapshot matrix where each column is sampled at a different timestep. Original simulations had a factor of 100 higher temporal resolution than do these matrices; the snapshots provided here were spaced 0.1 nondimensional time units apart. Each column comprises both horizontal and vertical velocity data with the former stacked atop the latter. A provided convertCavitySnapshot.m function converts a single cavity snapshot into non-stacked organization. cheb.m builds the x-vector (y is identical) and differentiation matrix D where dx(square_snapshot) = matmul(-square_snapshot,D.transpose) and dy(square_snapshot) = matmul(D,square_snapshot). plotSnapshot.m likewise plots a snapshot for user viewing. All data in this repository is discretized as 130 points in both the x and the y directions, viz. the 'res' variable passed to convertCavitySnapshot.m would be 130.
DOI: 10.17632/h3gtdx4mpz.1
title: SOM

description: GFDL SM2.1, Slabcntl (run1) slab ocean control experiment output for IPCC AR4 and US CCSP
DOI: 10.17632/k3pcdvdzj2.1
title: Software Quality Grades for MI Software

description: The data provides a summary of the state of the practice for Medical Imaging (MI) software (as of August 2021). The summary is based on grading a set of 29 MI products using a template of 103 questions based on 9 software qualities. The raw data obtained by measuring each software product and the template used to grade the software are found in the SoftwareGrading-MI.xlsx file. We use the first section of the template to collect general information, such as the name, purpose, platform, programming language, publications about the software, the first release and the most recent change date, website, and source code repository of the product, etc. Information in this section helps us understand the projects better and may be helpful for further analysis, but it does not directly affect the grading scores. We designed the following nine sections in the template for the nine software qualities. For each quality, we ask several questions and the typical answers are among the collection of "yes'', "no'', "n/a'', "unclear'', a number, a string, a date, a set of strings, etc. Each quality needs an overall score between 1 and 10 based on all the previous questions. All the last three sections are about the empirical measurements. For some qualities, the empirical measurements also affect the score. We use tools to extract information from the source code repositories. For projects held on GitHub, we manually collect additional metrics, such as the stars of the GitHub repository, and the numbers of open and closed pull requests.
DOI: 10.17632/x38rgrxrv5.1
title: Uncertainty of Claims Provisions from the Analysis of Financial Statements

description: Data sheet used to develop the Article "Uncertainty of Claims Provisions from the Analysis of Financial Statements" to be published in a future edition of the RAC (Revista de Administração Contemporânea). The data used in the runoff triangles were obtained from Financial Statements of different insurance companies in Brazil. The calculus was based on a spreadsheet publicly available from CAS (Casualty Actuarial Society) to implement the bootstrap method described in England & Verrall paper, "Analytic and Bootstrap Estimates of Prediction Errors in Claims Reserving". Since the model involves Bootstrap simulation, the spreadsheet is constantly updated in order to obtain new simulations. Thus, it is not possible to obtain the exact results of the 10,000 simulations carried out for the data of each insurer in the paper. For more details about the methodology used, please consult the paper.
DOI: 10.17632/ctn5k77ttr.1
title: Pacific_Clim_tau

description: CM2p1_CTL1860_overrideTau_climPac15S-15N
DOI: 10.17632/rv3k4nzgcj.1
title: Waveforms before and after propagating through an artificial humid filled joint

description: This data was acquired by electronizing the published data (Wu W, Zhao J (2014) Effect of Water Content on P-Wave Attenuation Across a Rock Fracture Filled with Granular Materials. Rock Mechanics and Rock Engineering 48:867-871). The data is related to the incident wave and transmitted waves through an artificial single joint filled with humid quartz sand. The infill had a thickness of 2 mm and a water content of 15%. The frequency of the incident stress wave was about 2 kHz, and the amplitude was about 120 microstrain. The incident and transmitted waveforms were nomorlized. The first column is the time, the second column is the incident wave, the third column is the transmitted wave.
DOI: 10.17632/b5yc9sw7y9.1
title: The Mediating Role of Self-leadership on Basic Psychological Needs, Academic Self-efficacy and Career Adaptability When Life Satisfaction is Controlled

description: In this study, a structural model was tested to investigate the mediator role of self-leadership in the relationships between basic psychological needs and career adaptability and academic self-efficacy and career adaptability. When testing the model, the effect of life satisfaction was controlled. 404 university students [67.3% females and 32.7% males] participated in the study. The participants responded to measures of basic psychological needs satisfaction, academic self-efficacy, self-leadership, career adaptability, and life satisfaction. The data was collected online by way of Google Forms in July 2021. The participants were accessed by sharing the study link with certain explanations on a few social media accounts, which university students follow, such as Facebook groups or Whatsapp (a message communication application), and requested to share the link with their friends.
DOI: 10.17632/b94xgzxsdm.2
title: Rapidly developable low cost and power efficient portable turbine-based emergency ventilator

description: Use of ventilators has always been common in medical scenarios but very expensive to procure or develop; mainly because of expensive components precise instrumentation. Our paper attempts to mitigate that problem by proposing a novel way to rapidly develop a low cost and power efficient portable turbine-based emergency ventilator that uses 3D printing technology and off-the-shelf components. This turbine and valve-based ventilator features most commonly used modes. A unique servo-based pressure release mechanism has been designed that makes the system around 36 times more efficient than solenoid-based systems. Reliability and efficiency have been increased further through the absence of electromechanical component in our novel positive end expiratory pressure (PEEP) valve. Effective algorithms such as feed-forward and PID are used alongside our unique ‘Sensor data filtration Methodology’. It provides an interactive GUI through an app that can be installed on any readily found tablets while the firmware manages the breathing detection algorithm using flow sensor. This modular, portable, energy-efficient and low-noise system ventilator also features swappable battery that can run for 5.6 hours at a stretch and also holds the ability to even run-on solar power. Design files description: 1. 'Assembly 3D Model Files' folder containing 3D models' files for viewing and generating 3D printing files 2. 'Electronics' folder for getting the modular integration instructions 3. 'Firmware' folder for all the necessary codes to be uploaded into the microcontroller 4. 'Project Gallery' folder for system architectures and block diagrams 5. 'Android Application' zipped folder for the Android app development files 6. 'Design Files and BOM.xlsx' spreadsheet file containing details regarding design files and bill of materials including sources. 7. 'LICENSE' containing our license for the Open-Source. 8. 'Project Description and Build Instructions.pdf' containing detailed project description and steps to reproduce the system.
DOI: 10.17632/hhyd7dkdct.1
title: Data for the online self-compassion training to reduce self-criticism and pain endurance in people with Non-suicidal self-injury ideation

description: Study examined the efficacy of a online brief self-compassion training in reducing NSSI correlates after a single session, post 1 week training and at the 2 week follow up. Dataset includes self-criticism, self-compassion, implicit self-criticism, pain endurance and inclination to self-injure scores at baseline (T0), T1, T2 and T3.
DOI: 10.17632/mbx34thp2y.1
title: Steady State 2D Regularized Lid-Driven Cavity High-resolution Spatiotemporal Snapshots

description: This data was generated using the pseudo-spectral DNS method outlined in Lee, Dowell, and Balajewicz CNSNS (2017). Filenames denote Reynolds number. Each file contains a velocity snapshot matrix where each column is sampled at a different timestep. Original simulations had a factor of 100 higher temporal resolution than do these matrices; the snapshots provided here were spaced 0.1 nondimensional time units apart. Each column comprises both horizontal and vertical velocity data with the former stacked atop the latter. A provided convertCavitySnapshot.m function converts a single cavity snapshot into non-stacked organization. cheb.m builds the x-vector (y is identical) and differentiation matrix D where dx(square_snapshot) = matmul(-square_snapshot,D.transpose) and dy(square_snapshot) = matmul(D,square_snapshot). plotSnapshot.m likewise plots a snapshot for user viewing. All data in this repository is discretized as 258 points in both the x and the y directions, viz. the 'res' variable passed to convertCavitySnapshot.m would be 258.
DOI: 10.17632/dp7g8rntyb.1
title: Research Data

description: Antibiogram and gene resistance
DOI: 10.17632/zx6d2272w9.1
title: Utilizing unsupervised learning, multi-view imaging, and CNN-based attention facilitates cost-effective wetland mapping

description: The dataset and related code refer to the experiment in the paper of "Utilizing unsupervised learning, multi-view imaging, and CNN-based attention facilitates cost-effective wetland mapping". Due to the storage limit in the Mendeley Data Repository, the data in the &gt;Auto-UNet++&gt;dataset&gt;mvImage&gt;MVfeature directory is not intact. While the data in this directory is only immediate features, all the basic data to implement the Auto-UNet++ from scratch have been fully incorporated in this dataset. Please follow the coding instruction in Appendix E in the paper and go through the demo code to produce the whole data. To ensure successful implementation, please copy the whole dataset to the local disk and do not change the directory structure from the Auto-UNet++ folder (including Auto-UNet++). Please contact us by email, If you encounter any problems while running the demo. Qiao Hu: qiao@huskers.unl.edu Zhenghong Tang: ztang2@unl.edu
DOI: 10.17632/hdhcsyvjbh.2
title: Raw EMG data recorded from biceps femoris muscle of the rats

description: Raw EMG data recorded from biceps femoris muscle of the rats
DOI: 10.17632/7tnhcwykpc.2
title: Enhancing students’ digital competencies within the Employability module of the University of Europe’s skills-based curricula

description: The onset of the coronavirus has catalyzed an acceleration in the adoption of digital teaching practices that have been trending in Higher Education for over a decade. The most obvious of these has been the abrupt switch to online training. Given the speed at which this transition from in-person instruction has taken place, many instructors' natural first inclination has been to maintain teaching styles as similar as possible to those employed in person, including the traditional lecture format. However, a growing body of research is confirming what instructors across the educational spectrum are observing: namely, that student behaviour, the psychological effect of the medium, participation levels, attention span and learning outcomes online can vary widely from those demonstrated in traditional classroom settings. It is becoming increasingly clear that conditions such as "Zoom fatigue" are very real, and that, if teaching is to be effective, different methodologies based on digital learning experiences should be added to educators' repertoires that take the particular challenges and new opportunities of the online environment into consideration. This paper will examine how some of these new online-based methodologies and digital tools are being developed and introduced at the University of Europe within the undergraduate students' Employability module to enhance the student online experience as well as learning outcomes. The module spans three semesters; here the authors will focus on implementations within the first semester, Employability I: English and the second semester, Employability II: Soft Skills to nurture relevant skills and to ensure that learning environments remain fit-for-purpose for the digital age.
DOI: 10.48370/ofd/zjw4xa
title: Przetacznik ożankowy (Veronica chamaedrys L. s. str.), 1129

description: Herbarium
DOI: 10.21335/nmdc-181814768
title: Echinoids in Corals Images – raw data

description: The data are used to document a correlation between bamboo coral polyp loss and colony death with large densities of suspension feeding deep-sea urchin Dermechinus horridus on the Discovery Seamounts off South Africa (Atlantic Ocean).
DOI: 10.6084/m9.figshare.15140955
title: Involvement modulates the effects of deception on memory in daily life

description: The detailed description please see our relative paper
DOI: 10.6084/m9.figshare.15140955.v1
title: Involvement modulates the effects of deception on memory in daily life

description: The detailed description please see our relative paper
DOI: 10.5281/zenodo.4695404
title: Data from: Two-dimensional hybrid model of gradient drift instability and enhanced electron transport in a Hall thruster

description: The numerical data for plotting Figs. 5 6, 7, and 8 in "Two-dimensional hybrid model of gradient drift instability and enhanced electron transport in a Hall thruster."
DOI: 10.5281/zenodo.4695403
title: Data from: Two-dimensional hybrid model of gradient drift instability and enhanced electron transport in a Hall thruster

description: The numerical data for plotting Figs. 5 6, 7, and 8 in "Two-dimensional hybrid model of gradient drift instability and enhanced electron transport in a Hall thruster."
DOI: 10.5281/zenodo.5163181
title: The transverse and longitudinal elastic constants of pulp fibers in paper sheets

description: Data and MATLAB code to generate the results and figures presented in The transverse and longitudinal elastic constants of pulp fibers in paper sheets, In prep. 2021. Instructions: 1. Make sure MATLAB is installed on your system. Tested on MATLAB 2021a. 2. Download all the files, unzip the zipped data folders. 3. Run the code, starting with mainCzibulaBrandberg2021.m 4. Intermediate results can be recalculated by changing the pointer from the saved .MAT files to the outputs of new runs. See the intermediate functions (e.g. indentationMain.m ). Should something not work, please do get in touch with the authors! /A. Brandberg, 2021-08-06<br>
DOI: 10.6084/m9.figshare.14822553
title: Supplementary Material for: Health literacy in Glomerulonephritis and Renal Vasculitis attending Nephrology Clinics

description: Medicine
DOI: 10.6084/m9.figshare.14879580
title: Data from Lawson et al. Biology Letters 2021

description: These are the supporting data for Lawson et al. Biology Letters MS submitted in 2021.
DOI: 10.6084/m9.figshare.14879580.v1
title: Data from Lawson et al. Biology Letters 2021

description: These are the supporting data for Lawson et al. Biology Letters MS submitted in 2021.
DOI: 10.25345/c5kv72
title: MassIVE MSV000087963 - Endophyte_project_part1_molecular_networking_10082021
title: Test analysis_endophytes_10082021_seri1_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
DOI: 10.5281/zenodo.5024992
title: Data for Manuscript: Instrumental Validity of the Motion Detection Accuracy of a Smartphone Based Training Game

description: <strong>Background: </strong>In the project TRIMOTEP we developed a low-cost augmented reality training game. Aim of the training game ist to support patients after total hip replacement in their rehabilitation. The project was funded by the Austrian Research Promotion Agency (FFG, grant number 862050). As hardware the training game uses a headset, an android smartphone and a step board. The goal of the training game is to dodge animals and objects while performing exercises. A current version of the training game can be downloaded here: https://trimotep.fh-joanneum.at/exer-game-ar_walker/ . The training game is based on Google ARCore and uses a movement detection approach to recognise different exercises. To detect movements ARCore uses the smartphone inbuilt inertial measurement unit and the front camera (https://developers.google.com/ar/discover). In order to investigate the possibilities of the training game, it is necessary to examine the accuracy of movement detection in more detail. <strong>Data: </strong>To investigate the accuracy, comparative measurements were carried out with 30 healthy subjects. During the measurements, the subjects motion was recorded simultaneously with the training game and an optoelectronic motion capture system (Vicon). Two trials were recorded with each subject. First Trial: subjects followed a protocol Second Trial: subjects played the training game for one minute The training game measures the movement of the smartphone (and therefore of the headset and the head). The optoelectronic motion capture system uses a marker set consisting of four markers. Those markers are labeled HMD_F, HMD_B, HMD_R, HMD_L. Markers HMD_R and HMD_L as well as HMD_B and HMD_F form an axis in a karthesian coordinate system. This coordinate system is rotated by 8 degrees compared to the training game along the transversal axis. <strong>Structure of the Data Set:</strong> The data set includes an excel sheet with general data of the subjects and a figure showing the tilt between the two coordinate systems. Further one folder contains the measurement data of the training game as json files. Another folder contains the measurement data of the optoelectronic motion capturing system as csv files. For further information or help to process the data please contact: Bernhard Guggenberger, bernhard.guggenberger2@fh-joanneum.at
DOI: 10.5281/zenodo.5024991
title: Data for Manuscript: Instrumental Validity of the Motion Detection Accuracy of a Smartphone Based Training Game

description: <strong>Background: </strong>In the project TRIMOTEP we developed a low-cost augmented reality training game. Aim of the training game ist to support patients after total hip replacement in their rehabilitation. The project was funded by the Austrian Research Promotion Agency (FFG, grant number 862050). As hardware the training game uses a headset, an android smartphone and a step board. The goal of the training game is to dodge animals and objects while performing exercises. A current version of the training game can be downloaded here: https://trimotep.fh-joanneum.at/exer-game-ar_walker/ . The training game is based on Google ARCore and uses a movement detection approach to recognise different exercises. To detect movements ARCore uses the smartphone inbuilt inertial measurement unit and the front camera (https://developers.google.com/ar/discover). In order to investigate the possibilities of the training game, it is necessary to examine the accuracy of movement detection in more detail. <strong>Data: </strong>To investigate the accuracy, comparative measurements were carried out with 30 healthy subjects. During the measurements, the subjects motion was recorded simultaneously with the training game and an optoelectronic motion capture system (Vicon). Two trials were recorded with each subject. First Trial: subjects followed a protocol Second Trial: subjects played the training game for one minute The training game measures the movement of the smartphone (and therefore of the headset and the head). The optoelectronic motion capture system uses a marker set consisting of four markers. Those markers are labeled HMD_F, HMD_B, HMD_R, HMD_L. Markers HMD_R and HMD_L as well as HMD_B and HMD_F form an axis in a karthesian coordinate system. This coordinate system is rotated by 8 degrees compared to the training game along the transversal axis. <strong>Structure of the Data Set:</strong> The data set includes an excel sheet with general data of the subjects and a figure showing the tilt between the two coordinate systems. Further one folder contains the measurement data of the training game as json files. Another folder contains the measurement data of the optoelectronic motion capturing system as csv files. For further information or help to process the data please contact: Bernhard Guggenberger, bernhard.guggenberger2@fh-joanneum.at
DOI: 10.6084/m9.figshare.15140991
title: A high spatial resolution aboveground biomass estimate of coastal wetlands over the Bohai rim,China

description: We developed a best possible aboveground biomass (AGB) model for predicting coastal wetland AGB in the Bohai rim coastal zone, based on multiple high spatial resolution remote sensing data, topography data, and climate data. Using the model and emerging free available, high spatial resolution remote sensing data, we generated a AGB map of the Bohai rim coastal wetlands in 2019 at 10 m spatial resolution.
DOI: 10.6084/m9.figshare.15140991.v1
title: An aboveground biomass estimate of coastal wetlands over the Bohai rim,China

description: We developed a best possible aboveground biomass (AGB) model for predicting coastal wetland AGB in the Bohai rim coastal zone, based on multiple high spatial resolution remote sensing data, topography data, and climate data. Using the model and emerging free available, high spatial resolution remote sensing data, we generated a AGB map of the Bohai rim coastal wetlands in 2019 at 10 m spatial resolution.
DOI: 10.25959/b14t-w737
title: Carinascincus ocellatus transcriptome

description: Transcriptomes from high (MIena) and low (Orford) populations of Carinascincus ocellatus. 3 males and 3 females at each population. Tissues analysed include brain and gonad.
DOI: 10.12755/shr.res.2007.1
title: การพัฒนาคุณภาพการปฏิบัติงานด้านบริการของบุคลากรในสำนักงานประธานวุฒิสภา
DOI: 10.14457/cu.the.1970.2
title: การคาดคะเนความสูญหายของการศึกษาในวัฏจักรการศึกษา 2512-2523
DOI: 10.14457/cu.the.1971.2
title: สัมฤทธิ์ผลทางการเรียนวิชาวิทยาศาสตร์ของนักเรียนฝึกหัดครูระดับประกาศนียบัตรวิชาการศึกษาในภาคต่างๆ
DOI: 10.14457/cu.the.1971.3
title: การศึกษาอนุกรมวิธานและการแพร่กระจายของแอมฟิอ๊อกซัสบางชนิดตามชายฝั่งทะเลของประเทศไทยด้านมหาสมุทรอินเดีย
DOI: 10.14457/cu.the.1971.4
title: การวิเคราะห์แบบเรียนวิชาภูมิศาสตร์ชั้นมัธยมศึกษาตอนต้น
DOI: 10.14457/cu.the.1971.5
title: การประเมินผลงานในองค์การธุรกิจเอกชน
DOI: 10.14457/cu.the.1970.3
title: การศึกษาวงจรชีวิตของไร Tetranychus sp. Dufour (Acarina : Tetranychidae)
DOI: 10.14457/cu.the.1971.6
title: ระบบบริหารโรงเรียนราษฎร์ฝ่ายคริสตศาสนาในพระนครและธนบุรี
DOI: 10.11583/dtu.14494380
title: Turbulence measurements from the Sprogoe masts

description: This dataset consists of time series and statistics of wind speed and wind direction measurements from two 70m masts at Sprogoe, Great belt, Denmark. The period includes more than 500 hours of measurements from 1990-1991.<br>Detailed site documentation is available here.<br><br>Public data (NetCDF format); 1) sprogoe_all.nc 2) sprogoe_concurrent.nc<br><br> Raw time series each with a duration of 600 sec, sampled with 2 and 10 Hz:3) sprogoe.zip<br>