cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/nnbb-4c81
title: Data set for Vehicular Network

description: One major vertical for 5G/6G networks is the Internet of Vehicles (IoV), that promises to enhance the driving experience and make roads safer. However, IoV networks face several security research challenges that need to be addressed before deployment. Lightweight authentication mechanism is a vital security element that must be designed, not only to ensure a good security level but also to maintain high authentication rates with low overheads due to the broadcast and time criticality nature of safety messages in IoV. Previous works had adopted the Timed Efficient Stream Loss-tolerant Authentication (TESLA) scheme with Elliptic Curve Digital Signature Algorithm (ECDSA) to fulfil the security requirements of IoV networks. However, these schemes lack an understanding of the dynamic nature of IoV networks, thus they suffer from low authentication rates and high communications overheads. Therefore, in this paper we propose an intelligent lightweight authentication scheme which utilises TESLA and Bloom filters to achieve the necessary security requirements for IoV networks. Furthermore, the Multi-access Edge Computing (MEC) server that covers a certain geographical area plays the security manager role in this design that uses the supervised Machine Learning (ML) algorithms to analyse the network. As such a MEC server generates Bloom filters to be sent to all vehicles for as part of the lightweight authentication process. Additionally, a labelled data set has been generated for this work by adopting the OpenStreetMaps, SUMO and NS-3. The use of such tools ensures that the generated labelled data set is realistic and based on real world roads layouts. Finally, based on extensive simulations we prove that the proposed work achieves higher authentication rates than existing schemes (that are recommended by IEEE and ETSI) at lower costs, while maintaining high level of security.
DOI: 10.5281/zenodo.7516406
title: Voting Behaviour - Knowledge from empirical studies

description: This file contains primary data for our study that compares voting behaviour under first-past-the-post, evaluative voting, approval voting and D21 – Janeček method on the primary dataset consisting of 31 elections in the Czech Republic and secondary dataset of 11 elections from various countries. Our analysis aims to explore how voters use multiple positive and negative votes and what effects these voting rules have on different types of candidates. We also focus on strategic voting and on the factors influencing the number of votes cast by a voter. Our data show significant disparities in use of negative votes under voting methods offering more resources than FPTP but not in the positive votes. Furthermore, there are more misaligned voters under those methods than under plurality voting, however the ratio of strategic votes is comparable. Last but not least, we find that these methods favour medium and unknown candidates instead of polarising and unpopular candidates like plurality voting.
DOI: 10.5281/zenodo.7516405
title: Voting Behaviour - Knowledge from empirical studies

description: This file contains primary data for our study that compares voting behaviour under first-past-the-post, evaluative voting, approval voting and D21 – Janeček method on the primary dataset consisting of 31 elections in the Czech Republic and secondary dataset of 11 elections from various countries. Our analysis aims to explore how voters use multiple positive and negative votes and what effects these voting rules have on different types of candidates. We also focus on strategic voting and on the factors influencing the number of votes cast by a voter. Our data show significant disparities in use of negative votes under voting methods offering more resources than FPTP but not in the positive votes. Furthermore, there are more misaligned voters under those methods than under plurality voting, however the ratio of strategic votes is comparable. Last but not least, we find that these methods favour medium and unknown candidates instead of polarising and unpopular candidates like plurality voting.
DOI: 10.5281/zenodo.7496795
title: EEG (128 ch) on presentation of cardinal and oblique grids

description: <strong>Subjects</strong> The study involved 20 subjects (9 women and 11 men) without signs of pathology, without the absence of complaints and severe neurological symptoms (found by questioning). The average age of volunteers is 22.5±4 years. In all cases, the subjects were informed about the methodology, which was approved by the ethics committee of the Institute of Higher Nervous Activity and Neurophysiology of RAS (protocol No. 5 dated 02.12.2020). Recordings were made in 2020 and 2021. <strong>Registration</strong> Registration was carried out on a 128-channel Geodesic-400 electroencephalograph during the task. The central electrode Cz was used as a reference electrode. For each subject, the positions of the electrodes were recorded using the Geodesic GPS (Geodesic Photogrammetry System) photographic system. MRI was used to calculate the surfaces of the head, skull, and cerebral cortex. <strong>Visual stimulation</strong> During the study, the subjects sat in a comfortable chair in a darkened room at a distance of 57 cm from the screen. Illumination at eye level was 3 lux. After recording the background EEG signal for two minutes at rest with eyes closed, the volunteers began to perform the task. Visual stimuli appeared on the screen in the form of a grid with different inclinations: vertical (90°), horizontal (0°), tilt to the left (135°), tilt to the right (45°) The slope types are grouped into two groups: cardinal (90° and 0°) and oblique (45° and 135°). The size of the stimulus on the screen was 4.7 cm, which at a distance of 57 cm from the screen was 4.71 angular degrees. The duration of each stimulus was 100 ms. The interstimulus interval was changed randomly from 3 to 4 seconds. Each stimulus was presented 34 times, also in random order. The total duration of the experiment was about 9 min. The subject, upon presentation of the stimulus, had to recognize the slope of the lines and choose one of the answer options: cardinal or inclined lines by pressing the appropriate key. <strong>File codes</strong> <strong>Code</strong> <strong>Age</strong> <strong>Sex</strong> <strong>MRI</strong> 1 E01V3 65 m * 2 E02 18 m E02MRI 3 E04 22 m E04MRI 4 E05 18 f E05MRI 5 E06V7 22 f * 6 E07V6 18 f * 7 E08 34 m E08MRI 8 E09 21 f E09MRI 9 E10 23 f E10MRI 10 E11 18 m E11MRI 11 E12 22 m E12MRI 12 E13 23 m E13MRI 13 E14 29 m E14MRI 14 E15V1 23 m * 15 E16 21 f E16MRI 16 E17V4 27 m * 17 E18 21 f E18MRI 18 E19V2 23 f * 19 E20 21 f E20MRI 20 E21 23 f E21MRI * The subject was recorded MEG in 2022. See his data including MRI in another dataset: https://doi.org/10.5281/zenodo.7458233 <strong>Acknowledgments</strong> The reported study was funded by RFBR, project number 20-015-00475.
description: This dataset can be easily loaded into the Brainstorm program. Spontaneous and evoked EEG can be used for source localisation and reconstruction of traveling waves.
DOI: 10.5281/zenodo.7496794
title: EEG (128 ch) on presentation of cardinal and oblique grids

description: <strong>Subjects</strong> The study involved 20 subjects (9 women and 11 men) without signs of pathology, without the absence of complaints and severe neurological symptoms (found by questioning). The average age of volunteers is 22.5±4 years. In all cases, the subjects were informed about the methodology, which was approved by the ethics committee of the Institute of Higher Nervous Activity and Neurophysiology of RAS (protocol No. 5 dated 02.12.2020). Recordings were made in 2020 and 2021. <strong>Registration</strong> Registration was carried out on a 128-channel Geodesic-400 electroencephalograph during the task. The central electrode Cz was used as a reference electrode. For each subject, the positions of the electrodes were recorded using the Geodesic GPS (Geodesic Photogrammetry System) photographic system. MRI was used to calculate the surfaces of the head, skull, and cerebral cortex. <strong>Visual stimulation</strong> During the study, the subjects sat in a comfortable chair in a darkened room at a distance of 57 cm from the screen. Illumination at eye level was 3 lux. After recording the background EEG signal for two minutes at rest with eyes closed, the volunteers began to perform the task. Visual stimuli appeared on the screen in the form of a grid with different inclinations: vertical (90°), horizontal (0°), tilt to the left (135°), tilt to the right (45°) The slope types are grouped into two groups: cardinal (90° and 0°) and oblique (45° and 135°). The size of the stimulus on the screen was 4.7 cm, which at a distance of 57 cm from the screen was 4.71 angular degrees. The duration of each stimulus was 100 ms. The interstimulus interval was changed randomly from 3 to 4 seconds. Each stimulus was presented 34 times, also in random order. The total duration of the experiment was about 9 min. The subject, upon presentation of the stimulus, had to recognize the slope of the lines and choose one of the answer options: cardinal or inclined lines by pressing the appropriate key. <strong>File codes</strong> <strong>Code</strong> <strong>Age</strong> <strong>Sex</strong> <strong>MRI</strong> 1 E01V3 65 m * 2 E02 18 m E02MRI 3 E04 22 m E04MRI 4 E05 18 f E05MRI 5 E06V7 22 f * 6 E07V6 18 f * 7 E08 34 m E08MRI 8 E09 21 f E09MRI 9 E10 23 f E10MRI 10 E11 18 m E11MRI 11 E12 22 m E12MRI 12 E13 23 m E13MRI 13 E14 29 m E14MRI 14 E15V1 23 m * 15 E16 21 f E16MRI 16 E17V4 27 m * 17 E18 21 f E18MRI 18 E19V2 23 f * 19 E20 21 f E20MRI 20 E21 23 f E21MRI * The subject was recorded MEG in 2022. See his data including MRI in another dataset: https://doi.org/10.5281/zenodo.7458233 <strong>Acknowledgments</strong> The reported study was funded by RFBR, project number 20-015-00475.
description: This dataset can be easily loaded into the Brainstorm program. Spontaneous and evoked EEG can be used for source localisation and reconstruction of traveling waves.
DOI: 10.17037/data.00003168
title: MBIRA - Mortality from Bacterial Infections Resistant to Antibiotics study - underlying data

description: Antimicrobial resistance is a major global health concern, but there is limited data linking laboratory resistance testing to clinical outcomes, especially from Low-and-Middle-Income countries, including African nations. This is a project collecting prospective data about bloodstream infections caused by Enterobacterales bacteria in African hospitals in 2020-22. A central focus was the impact of 3rd generation cephalosporin (3GC) resistance on patient mortality. In the main study, n=8 hospitals in eight different countries contributed to this project. Preliminary work involved collection of descriptive information from these 8 hospitals, including access to antibiotics in hospital pharmacies. Information was collected for infected patients and matched non-infected patients in same hospitals. The MBIRA study collected data about hospitals, patients, bacterial isolates and antibiotic use. The “mbira_hospital” dataset contains information collected as a one-off event as part of the “hospital” form and the “mbira_pharmacy” contains information on antibiotic availability in pharmacies that were collected each month. Further datasets will be made available at a later date.
DOI: 10.7910/dvn/4lhqit
title: eTwinning National Support Organisations

description: The NSOs cooperate closely with the Central Support Service (CSS) and other NSOs to foster the European dimension of eTwinning activities. The National Support Organisations are responsible for vetting user registrations, promoting eTwinning in their countries, helping teachers to set up and carry out their projects, rewarding schools for their successful participation in eTwinning projects, organising training sessions for teachers, and ensuring that eTwinning evolves in a way that fits the particular needs of local schools. They receive a grant from the European Commission that covers up to 80 % of their costs. Via: https://villageofwolcott.com/news/3-tips-for-finding-the-perfect-senior-living-facility-for-your-parents.html https://buyglovesonlineinbulk.com/english/4-ways-to-feel-more-relaxed-in-your-own-home.html https://arienhost.com/news/us-doj-announces-seizure-of-55m-robinhood-shares.html https://sway.office.com/e0a8FXZXQ6WGLnWE?Agi0k
DOI: 10.6084/m9.figshare.20219967
title: Activities 1, 2 and 3

description: Kinematics data from all the subjects for flatground walking, walking with random stops and staircase.
DOI: 10.6084/m9.figshare.20219967.v1
title: Activities 1, 2 and 3

description: Kinematics data from all the subjects for flatground walking, walking with random stops and staircase.
DOI: 10.6084/m9.figshare.20219970
title: Activities 4 and 5

description: All the kinematics data for modified CHAMP and the controlled obstacle course.
DOI: 10.6084/m9.figshare.20219970.v1
title: Activities 4 and 5

description: All the kinematics data for modified CHAMP and the controlled obstacle course.
DOI: 10.6084/m9.figshare.20219976
title: Activity 6: Subject xUD001 session 1

description: First session of full body kinematics, egocentric vision and gaze data for the subject xUD001 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20219976.v1
title: Activity 6: Subject xUD001 session 1

description: First session of full body kinematics, egocentric vision and gaze data for the subject xUD001 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20219979
title: Activity 6: Subject xUD001 session 2

description: Second session of full body kinematics, egocentric vision and gaze data for the subject xUD001 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20219994
title: Activity 6: Subject xUD002

description: All the full body kinematics, egocentric vision and gaze data for the subject xUD002 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20219979.v1
title: Activity 6: Subject xUD001 session 2

description: Second session of full body kinematics, egocentric vision and gaze data for the subject xUD001 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20219994.v1
title: Activity 6: Subject xUD002

description: All the full body kinematics, egocentric vision and gaze data for the subject xUD002 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20220144
title: Activity 6: Subject xUD004

description: All the full body kinematics, egocentric vision and gaze data for the subject xUD004 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.20220150.v1
title: Activity 6: Subject xUD007

description: All the full body kinematics, egocentric vision and gaze data for the subject xUD007 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.21614910
title: Example Data for Visualization

description: This is trimmed and subsampled data corresponding to a single trial from the subject xUD004. This can be used to examine the synchronization of vision and kinematics. Move the content of this file to the 'Visualizations' directory on the github repository- https://github.com/abs711/The-way-of-the-future , and run 'custom_humanoid.m' to generate the visualization
DOI: 10.6084/m9.figshare.20220144.v1
title: Activity 6: Subject xUD004

description: All the full body kinematics, egocentric vision and gaze data for the subject xUD004 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.21614976
title: Example Data from 1 trial of unrestricted walking

description: This is a single trial from the subject xUD002, with eye tracker data in the folder 'Pupil', raw motion capture data in 'raw_mvn_HD' and the corresponding processed files in 'unstructured'. The files from the folder 'unstructured' can be used to test the 'data_loading_example' available on the GitHub repository- https://github.com/abs711/The-way-of-the-future
DOI: 10.6084/m9.figshare.21615474
title: Example data from 1 trial of activities 1, 2 and 3

description: This contains 1 trial of each activity 1 (level ground) and activity 2(random stops) and activity 3 (stairs), from the subject xMF04.
DOI: 10.6084/m9.figshare.21615474.v1
title: Example data from 1 trial of activities 1, 2 and 3

description: This contains 1 trial of each activity 1 (level ground) and activity 2(random stops) and activity 3 (stairs), from the subject xMF04.
DOI: 10.6084/m9.figshare.20220150
title: Activity 6: Subject xUD007

description: All the full body kinematics, egocentric vision and gaze data for the subject xUD007 from unrestricted walking in public spaces.
DOI: 10.6084/m9.figshare.21614910.v1
title: Example Data for Visualization

description: This is trimmed and subsampled data corresponding to a single trial from the subject xUD004. This can be used to examine the synchronization of vision and kinematics. Move the content of this file to the 'Visualizations' directory on the github repository- https://github.com/abs711/The-way-of-the-future , and run 'custom_humanoid.m' to generate the visualization
DOI: 10.6084/m9.figshare.21614976.v1
title: Example Data from 1 trial of unrestricted walking

description: This is a single trial from the subject xUD002, with eye tracker data in the folder 'Pupil', raw motion capture data in 'raw_mvn_HD' and the corresponding processed files in 'unstructured'. The files from the folder 'unstructured' can be used to test the 'data_loading_example' available on the GitHub repository- https://github.com/abs711/The-way-of-the-future
DOI: 10.6084/m9.figshare.21615495
title: Example data from 1 trial of activities 4 and 5

description: This contains 1 trial of activity 4 (modified-CHAMP: edgren, illinois, t-test) and activity 5 (controlled obstacle course), from the subject xOA01.
DOI: 10.6084/m9.figshare.21615495.v1
title: Example data from 1 trial of activities 4 and 5

description: This contains 1 trial of activity 4 (modified-CHAMP: edgren, illinois, t-test) and activity 5 (controlled obstacle course), from the subject xOA01.
DOI: 10.5281/zenodo.3988184
title: COLO829 Somatic SV truth set

description: Data for generation of somatic SV truth set using COLO829 cell line. Includes the final truth set and also raw SV calling for each of the datasets, dataset-specific somatic SVs and copy number alterations. Updated with compliant VCFs
DOI: 10.5281/zenodo.3988185
title: COLO829 Somatic SV truth set

description: Data for generation of somatic SV truth set using COLO829 cell line. Includes the final truth set and also raw SV calling for each of the datasets, dataset-specific somatic SVs and copy number alterations.
DOI: 10.5281/zenodo.4716169
title: COLO829 Somatic SV truth set

description: Data for generation of somatic SV truth set using COLO829 cell line. Includes the final truth set and also raw SV calling for each of the datasets, dataset-specific somatic SVs and copy number alterations.
DOI: 10.5281/zenodo.5019338
title: COLO829 Somatic SV truth set

description: Data for generation of somatic SV truth set using COLO829 cell line. Includes the final truth set and also raw SV calling for each of the datasets, dataset-specific somatic SVs and copy number alterations. Updated with compliant VCFs
DOI: 10.5281/zenodo.7515830
title: COLO829 Somatic SV truth set

description: Data for generation of somatic SV truth set using COLO829 cell line. Includes the final truth set and also raw SV calling for each of the datasets, dataset-specific somatic SVs and copy number alterations. Updated with compliant VCFs
DOI: 10.6084/m9.figshare.21430227
title: Data and analysis software to accompany the article "Developmental and acquired brain injury have opposite effects on finger coordination in children", published in Frontiers in Human Neuroscience

description: This is the data and code to accompany the article titled " Developmental and acquired brain injury have opposite effects on finger coordination in children ", by Mimouni-Bloch et al., published in 2023 in Frontiers in Human Neuroscience <br> The data from the control group is from a previous experiment (Shaklai et al., 2017), while the data from the CP and TBI groups are provided here. <br> The matlab files will generate the graphs from the paper (as well as some other graphs). Each participant performed 20 trials of the force task - the first two were not used, and the experimenter visually inspected the rest of the trials and removed those where the task was not performed appropriately. The files "blacklistLeft.mat" and "blaclistRight.mat" contain the trials marked by this process. <br> The R file will generate the statistical analyses (presented as supplementary material). <br>
DOI: 10.6084/m9.figshare.21430227.v2
title: Data and analysis software to accompany the article "Developmental and acquired brain injury have opposite effects on finger coordination in children", published in Frontiers in Human Neuroscience

description: This is the data and code to accompany the article titled " Developmental and acquired brain injury have opposite effects on finger coordination in children ", by Mimouni-Bloch et al., published in 2023 in Frontiers in Human Neuroscience <br> The data from the control group is from a previous experiment (Shaklai et al., 2017), while the data from the CP and TBI groups are provided here. <br> The matlab files will generate the graphs from the paper (as well as some other graphs). Each participant performed 20 trials of the force task - the first two were not used, and the experimenter visually inspected the rest of the trials and removed those where the task was not performed appropriately. The files "blacklistLeft.mat" and "blaclistRight.mat" contain the trials marked by this process. <br> The R file will generate the statistical analyses (presented as supplementary material). <br>
DOI: 10.6084/m9.figshare.21430227.v1
title: Data and analysis software to accompany the article "The effects of developmental and acquired brain injury on finger coordination in children ages 4-12 years"

description: This is the data and code to accompany the article title "The effects of developmental and acquired brain injury on finger coordination in children ages 4-12 years", by Mimouni-Bloch et al. <br> The data from the control group is from a previous experiment (Shaklai et al., 2017), while the data from the CP and TBI groups are provided here. <br> The matlab files will generate the graphs from the paper (as well as some other graphs). Each participant performed 20 trials of the force task - the first two were not used, and the experimenter visually inspected the rest of the trials and removed those where the task was not performed appropriately. The files "blacklistLeft.mat" and "blaclistRight.mat" contain the trials marked by this process. <br> The R file will generate the statistical analyses (presented as supplementary material). <br>
DOI: 10.5281/zenodo.7514975
title: Supreme Military Court in Warsaw 1919-1962 - Query results

description: Zbiór danych przedstawia kolejne etapy kwerendy archiwalnej i bibliotecznej w ramach programu Miniatura 5 pt. Najwyższy Sąd Wojskowy w Warszawie 1919-1962 Nr. 2021/05/X/HS5/01048 finansowanego przez Narodowe Centrum Nauki.
DOI: 10.5281/zenodo.7514974
title: Supreme Military Court in Warsaw 1919-1962 - Query results

description: Zbiór danych przedstawia kolejne etapy kwerendy archiwalnej i bibliotecznej w ramach programu Miniatura 5 pt. Najwyższy Sąd Wojskowy w Warszawie 1919-1962 Nr. 2021/05/X/HS5/01048 finansowanego przez Narodowe Centrum Nauki.