cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15128/r2hx11xf29c
title: Ghost stabilisation of the Material Point Method for stable quasi-static and dynamic analysis of large deformation problems [dataset]

description: Figure data associated with the paper "Ghost stabilisation of the Material Point Method for stable quasi-static and dynamic analysis of large deformation problems"
description: The unstable nature of the material point method is widely documented and is a barrier to the method being used for routine engineering analyses of large deformation problems. The vast majority of papers concerning this issue are focused on the instabilities that manifest when a material point crosses between background grid cells. However, there are other issues related to the stability of material point methods. This paper focuses on the issue of the conditioning of the global system of equations caused by the arbitrary nature of the position of the physical domain relative to the background computational grid. The issue is remedied here via the use of a Ghost stabilisation technique that penalises variations in the gradient of the solution field near the boundaries of the physical domain. This technique transforms the stability of the material point method, providing a robust computational framework for large deformation explicit dynamic and implicit quasi-static analysis.
description: Material Point Method
DOI: 10.5281/zenodo.8131535
title: Data Set For Efficient Calculation of Dispersion Energy for Multireference Systems with Cholesky Decomposition. Application to Excited-state Interactions

description: Data Set to Accompany: "Efficient Calculation of Dispersion Energy for Multireference Systems with Cholesky Decomposition. Application to Excited-state Interactions"
description: Funding: National Science Center of Poland under grants no. 2019/35/B/ST4/01310 and no. 2021/43/D/ST4/02762
DOI: 10.5281/zenodo.8131534
title: Data Set For Efficient Calculation of Dispersion Energy for Multireference Systems with Cholesky Decomposition. Application to Excited-state Interactions

description: Data Set to Accompany: "Efficient Calculation of Dispersion Energy for Multireference Systems with Cholesky Decomposition. Application to Excited-state Interactions"
description: Funding: National Science Center of Poland under grants no. 2019/35/B/ST4/01310 and no. 2021/43/D/ST4/02762
DOI: 10.15468/u4vsyu
title: Zone Atelier Armorique Flora LTER France

description: The surveys were performed according to the same protocol for each sampling year on more than 100 field margins, in Brittany (France). Vegetation was sampled in 25 m long quadrats (one quadrat per margin) placed in the middle of the field margin or stream bank to avoid edge effects from connection with other field margins. Presence–absence of 26 plant species of the herb layer vegetation was recorded. The 26 plant species were selected because they were common, readily identifiable and represent a large range of characteristics: in taxonomy, morphology and life history. Vegetation surveys were conducted in 1994, 1998, 2001, 2007, 2011, 2013 and 2015, exclusively between May 15 and August 15. Nomenclature of vascular plants is according to the Flora Europaea. For more details on protocol, sampling design, see: Alignier A. & Baudry J. (2015) Changes in management practices over time explain most variation in vegetation of field margins in Brittany, France. Agriculture, Ecosystems and Environment, 211, 164-172. Alignier A. & Baudry J. (2016) Is plant temporal beta diversity of field margins related to changes in management practices ? Acta Oecologica, 75, 1-7. Alignier A. (2018) Changes in a field margin vegetation metacommunity over a 21-year interval and the impacts of structural condition and management. Agriculture, Ecosystems and Environment, 251, 1-10
DOI: 10.48366/r600533
title: Review: Detection of anomalies in maritime traffic with machine learning using the database Automatic Identification System

description: Review of research that used the Automatic Identification System database to detect anomalies in maritime traffic using machine learning techniques.
DOI: 10.5522/04/21789161.v1
title: Low-latency Wavelength-switched Clock-synchronized Data Centre Interconnects enabled by Hollow Core Nested Antiresonant Nodeless Fiber

description: The uploaded file is the dataset for our manuscirpt named: "Low-latency Wavelength-switched Clock-synchronized Data Centre Interconnects enabled by Hollow Core Nested Antiresonant Nodeless Fiber", which is submitted and under review. <br> The data is generated through rigorous optical data transmission and optical component characterization experiment. The experimental set-up was built and tested in 2022. MATLAB is used to further process the captured data. The data uploaded is used to plot figures in the submitted manusciprt.
DOI: 10.5522/04/21789161.v2
title: Dataset for Low-latency Wavelength-switched Clock-synchronized Data Centre Interconnects enabled by Hollow Core Nested Antiresonant Nodeless Fiber

description: The uploaded file is the dataset for our manuscript named: "Low-latency Wavelength-switched Clock-synchronized Data Centre Interconnects enabled by Hollow Core Nested Antiresonant Nodeless Fiber", which is accepted for publication in Optics Express. <br> The data is generated through rigorous optical data transmission and optical component characterization experiment. The experimental set-up was built and tested in 2022. MATLAB is used to further process the captured data. The data uploaded is used to plot figures in the submitted manusciprt.
DOI: 10.5281/zenodo.8131745
title: What do We Know about Requirements Management in Software Ecosystems? - Data extraction form

description: Data extraction form.
DOI: 10.5281/zenodo.8131744
title: What do We Know about Requirements Management in Software Ecosystems? - Data extraction form

description: Data extraction form.
DOI: 10.5522/04/19653351
title: Dataset for Communications with Guaranteed Bandwidth and Low Latency using Frequency Referenced Multiplexing

description: The uploaded file is the dataset for our manuscirpt named: "Communications with Guaranteed Bandwidth and Low Latency using Frequency Referenced Multiplexing", which is accepted for publication in Nature Electronics. <br> The data is generated through rigorous optical data transmission and optical clock synchronization characterization experiment. The experimental set-up was built and tested in 2022. MATLAB is used to further process the captured data. The data uploaded is used to plot figures in the submitted manusciprt.
DOI: 10.5522/04/19653351.v2
title: Dataset for Communications with Guaranteed Bandwidth and Low Latency using Frequency Referenced Multiplexing

description: The uploaded file is the dataset for our manuscirpt named: "Communications with Guaranteed Bandwidth and Low Latency using Frequency Referenced Multiplexing", which is accepted for publication in Nature Electronics. <br> The data is generated through rigorous optical data transmission and optical clock synchronization characterization experiment. The experimental set-up was built and tested in 2022. MATLAB is used to further process the captured data. The data uploaded is used to plot figures in the submitted manusciprt.
DOI: 10.5522/04/19653351.v1
title: Communications with Guaranteed Low Latency and Bandwidth using Frequency Referenced Multiplexing

description: This is the dataset for Communications with Guaranteed Low Latency and Bandwidth using Frequency Referenced Multiplexing
DOI: 10.3886/e183301
title: Intra- and inter-brain synchrony oscillations underlying social adjustment

description: Humans naturally synchronize their behaviour to other people. However, although it happens almost automatically, the adjustment of behaviour and the conformity to others is a complex phenomenon whose neural mechanisms are still yet to be completely understood. The goal of the present experiment was to study the oscillatory synchronization mechanisms underlying the automatic dyadic convergence in an EEG hyperscanning experiment. 36 people performed a purely cooperative decision-making task in dyads in which they had to guess the correct position of a point in a line. A reinforcement learning algorithm was used to model the expectancy of convergence among peers. Intra- and inter-connectivity among electrodes was assessed using inter-site phase clustering (ISPC) in three main frequency bands (theta, alpha, beta) using a two-level Bayesian Mixed Modelling approach. Results showed two different oscillatory synchronization dynamics related to attention and executive functions in alpha and reinforcement learning tracked by theta. In addition, inter-brain synchrony was mainly driven by beta oscillations. These results provide initial evidence about the role of inter- and intra- oscillatory synchrony in behavioural adaptation induced by social conformity.
description: EEG was continuously recorded at a sampling rate of 1024Hz using an ANT Neuro ASALab EEG amplifier from 25 scalp electrodes (Fp1/2, Fz, F3/4, F7/8, Fc 1/2, Fc5/6, Cz, C3/4, Cp1/2, Cp5/6, Pz, P3/4, P7/8, POz, Oz), two mastoids (left and right) and two electrodes recording eye movements. A reference electrode was set on the tip of the nose. The electrode impedance was kept at less than 5kΩ throughout the experiment. <br><br>We used EEGLAB under MATLAB for pre-processing. The data was bandpass filtered from 1 to 42Hz. Epochs from –2 to 2 seconds were extracted in each trial and Independent Component Analysis (ICA) was applied to remove the ocular artifacts. Surface Laplacian (Cohen, 2014) spatial filter was applied to the data prior to angle extraction in order to mitigate volume conduction for electrode-level connectivity. We then subtracted the ERP from each single trial to ensure frequency dynamics were task-related but were not driven by the ERP. After that, each trial was convolved using a complex Morlet wavelet. Angles of the wavelet coefficients were extracted for each single trial time-frequency data point and used to compute the synchronization between electrodes by means of inter-site phase clustering (ISPC) procedure (Cohen, 2014) for each frequency across each trial. We then averaged them over frequency ranges ( , 4-8Hz; , 8-13Hz; , 13-25Hz) and in two time ranges, from 0 to 500ms and from 500-100ms to study both early and late processing.
DOI: 10.3886/e183301v1
title: Intra- and inter-brain synchrony oscillations underlying the behavioural adaptation of conformity

description: Humans naturally synchronize their behaviour to other people. However, although it happens almost automatically, the adjustment of behaviour and the conformity to others is a complex phenomenon whose neural mechanisms are still yet to be completely understood. The goal of the present experiment was to study the oscillatory synchronization mechanisms underlying the automatic dyadic convergence in an EEG hyperscanning experiment. 36 people performed a purely cooperative decision-making task in dyads in which they had to guess the correct position of a point in a line. A reinforcement learning algorithm was used to model the expectancy of convergence among peers. Intra- and inter-connectivity among electrodes was assessed using inter-site phase clustering (ISPC) in three main frequency bands (theta, alpha, beta) using a two-level Bayesian Mixed Modelling approach. Results showed two different oscillatory synchronization dynamics related to attention and executive functions in alpha and reinforcement learning tracked by theta. In addition, inter-brain synchrony was mainly driven by beta oscillations. These results provide initial evidence about the role of inter- and intra- oscillatory synchrony in behavioural adaptation induced by social conformity.
description: EEG was continuously recorded at a sampling rate of 1024Hz using an ANT Neuro ASALab EEG amplifier from 25 scalp electrodes (Fp1/2, Fz, F3/4, F7/8, Fc 1/2, Fc5/6, Cz, C3/4, Cp1/2, Cp5/6, Pz, P3/4, P7/8, POz, Oz), two mastoids (left and right) and two electrodes recording eye movements. A reference electrode was set on the tip of the nose. The electrode impedance was kept at less than 5kΩ throughout the experiment. <br><br>We used EEGLAB under MATLAB for pre-processing. The data was bandpass filtered from 1 to 42Hz. Epochs from –2 to 2 seconds were extracted in each trial and Independent Component Analysis (ICA) was applied to remove the ocular artifacts. Surface Laplacian (Cohen, 2014) spatial filter was applied to the data prior to angle extraction in order to mitigate volume conduction for electrode-level connectivity. We then subtracted the ERP from each single trial to ensure frequency dynamics were task-related but were not driven by the ERP. After that, each trial was convolved using a complex Morlet wavelet. Angles of the wavelet coefficients were extracted for each single trial time-frequency data point and used to compute the synchronization between electrodes by means of inter-site phase clustering (ISPC) procedure (Cohen, 2014) for each frequency across each trial. We then averaged them over frequency ranges ( , 4-8Hz; , 8-13Hz; , 13-25Hz) and in two time ranges, from 0 to 500ms and from 500-100ms to study both early and late processing.
DOI: 10.3886/e183301v2
title: Intra- and inter-brain synchrony oscillations underlying social adjustment

description: Humans naturally synchronize their behaviour to other people. However, although it happens almost automatically, the adjustment of behaviour and the conformity to others is a complex phenomenon whose neural mechanisms are still yet to be completely understood. The goal of the present experiment was to study the oscillatory synchronization mechanisms underlying the automatic dyadic convergence in an EEG hyperscanning experiment. 36 people performed a purely cooperative decision-making task in dyads in which they had to guess the correct position of a point in a line. A reinforcement learning algorithm was used to model the expectancy of convergence among peers. Intra- and inter-connectivity among electrodes was assessed using inter-site phase clustering (ISPC) in three main frequency bands (theta, alpha, beta) using a two-level Bayesian Mixed Modelling approach. Results showed two different oscillatory synchronization dynamics related to attention and executive functions in alpha and reinforcement learning tracked by theta. In addition, inter-brain synchrony was mainly driven by beta oscillations. These results provide initial evidence about the role of inter- and intra- oscillatory synchrony in behavioural adaptation induced by social conformity.
description: EEG was continuously recorded at a sampling rate of 1024Hz using an ANT Neuro ASALab EEG amplifier from 25 scalp electrodes (Fp1/2, Fz, F3/4, F7/8, Fc 1/2, Fc5/6, Cz, C3/4, Cp1/2, Cp5/6, Pz, P3/4, P7/8, POz, Oz), two mastoids (left and right) and two electrodes recording eye movements. A reference electrode was set on the tip of the nose. The electrode impedance was kept at less than 5kΩ throughout the experiment. <br><br>We used EEGLAB under MATLAB for pre-processing. The data was bandpass filtered from 1 to 42Hz. Epochs from –2 to 2 seconds were extracted in each trial and Independent Component Analysis (ICA) was applied to remove the ocular artifacts. Surface Laplacian (Cohen, 2014) spatial filter was applied to the data prior to angle extraction in order to mitigate volume conduction for electrode-level connectivity. We then subtracted the ERP from each single trial to ensure frequency dynamics were task-related but were not driven by the ERP. After that, each trial was convolved using a complex Morlet wavelet. Angles of the wavelet coefficients were extracted for each single trial time-frequency data point and used to compute the synchronization between electrodes by means of inter-site phase clustering (ISPC) procedure (Cohen, 2014) for each frequency across each trial. We then averaged them over frequency ranges ( , 4-8Hz; , 8-13Hz; , 13-25Hz) and in two time ranges, from 0 to 500ms and from 500-100ms to study both early and late processing.
DOI: 10.3886/e183301v3
title: Intra- and inter-brain synchrony oscillations underlying social adjustment

description: Humans naturally synchronize their behaviour to other people. However, although it happens almost automatically, the adjustment of behaviour and the conformity to others is a complex phenomenon whose neural mechanisms are still yet to be completely understood. The goal of the present experiment was to study the oscillatory synchronization mechanisms underlying the automatic dyadic convergence in an EEG hyperscanning experiment. 36 people performed a purely cooperative decision-making task in dyads in which they had to guess the correct position of a point in a line. A reinforcement learning algorithm was used to model the expectancy of convergence among peers. Intra- and inter-connectivity among electrodes was assessed using inter-site phase clustering (ISPC) in three main frequency bands (theta, alpha, beta) using a two-level Bayesian Mixed Modelling approach. Results showed two different oscillatory synchronization dynamics related to attention and executive functions in alpha and reinforcement learning tracked by theta. In addition, inter-brain synchrony was mainly driven by beta oscillations. These results provide initial evidence about the role of inter- and intra- oscillatory synchrony in behavioural adaptation induced by social conformity.
description: EEG was continuously recorded at a sampling rate of 1024Hz using an ANT Neuro ASALab EEG amplifier from 25 scalp electrodes (Fp1/2, Fz, F3/4, F7/8, Fc 1/2, Fc5/6, Cz, C3/4, Cp1/2, Cp5/6, Pz, P3/4, P7/8, POz, Oz), two mastoids (left and right) and two electrodes recording eye movements. A reference electrode was set on the tip of the nose. The electrode impedance was kept at less than 5kΩ throughout the experiment. <br><br>We used EEGLAB under MATLAB for pre-processing. The data was bandpass filtered from 1 to 42Hz. Epochs from –2 to 2 seconds were extracted in each trial and Independent Component Analysis (ICA) was applied to remove the ocular artifacts. Surface Laplacian (Cohen, 2014) spatial filter was applied to the data prior to angle extraction in order to mitigate volume conduction for electrode-level connectivity. We then subtracted the ERP from each single trial to ensure frequency dynamics were task-related but were not driven by the ERP. After that, each trial was convolved using a complex Morlet wavelet. Angles of the wavelet coefficients were extracted for each single trial time-frequency data point and used to compute the synchronization between electrodes by means of inter-site phase clustering (ISPC) procedure (Cohen, 2014) for each frequency across each trial. We then averaged them over frequency ranges ( , 4-8Hz; , 8-13Hz; , 13-25Hz) and in two time ranges, from 0 to 500ms and from 500-100ms to study both early and late processing.
DOI: 10.6084/m9.figshare.23617173.v1
title: Supplementary Material for: Undesirable High Astigmatism after Penetrating Keratoplasty in Pseudophakia Corrected with an Add-On Toric Intraocular Lens

description: The purpose of the present case is to report the visual outcomes of a pseudophakic patient with high post-penetrating keratoplasty astigmatism treated with implantation of toric AddOn<sup>®</sup> intraocular lens (IOL) in the sulcus. A 79-year-old man with a ophthalmologic history of pseudoexfoliative glaucoma and Fuchs endothelial dystrophy had a graft failure after Descemet’s stripping automated endothelial keratoplasty procedure on his right eye. Consequently, a penetrating keratoplasty was performed, and a high corneal astigmatism of −9.8 D to 140° resulted in that eye after selective suture removal. A secondary AddOn<sup>®</sup> toric IOL customized for the patient with a manufacturer-calculated power of +11.0 D was implanted to 50° in sulcus of the right eye. Subjective refraction was used for IOL calculation. Final refraction was +1.0 D of sphere and −2.0 D of cylinder power to 105°, with spherical equivalent of 0.0 D. Best corrected visual acuity was logMAR 0.1 (20/25, 0.8 decimal) 1 year after the IOL implant. Our case report demonstrates that the toric AddOn<sup>®</sup> secondary IOL can be effective and safe in correcting residual refractive error of high regular astigmatism after keratoplasty in pseudophakic eyes.
DOI: 10.5281/zenodo.7990008
title: Dataset for "Phosphorus fractionation of recycled fertilizers reveals inadequacy of the SMT protocol"

description: Raw dataset used in the manuscript "Phosphorus fractionation of recycled fertilizers reveals inadequacy of the SMT protocol"
DOI: 10.5281/zenodo.7990007
title: Dataset for "Phosphorus fractionation of recycled fertilizers reveals inadequacy of the SMT protocol"

description: Raw dataset used in the manuscript "Phosphorus fractionation of recycled fertilizers reveals inadequacy of the SMT protocol"
DOI: 10.6084/m9.figshare.22786730.v2
title: <strong>AIMD-Chig: exploring the conformational space of 166-atom protein </strong><em><strong>Chignolin</strong></em><strong> with </strong><em><strong>ab initio</strong></em> <strong>molecular dynamics</strong>

description: Chig-AIMD is an MD dataset including 2 million conformations of 166-atom protein Chignolin sampled at the density functional theory (DFT) level with 7,763,146 CPU hours. 10,000 conformations were initialized covering the whole conformational space of Chignolin, including folded, unfolded, and metastable states. <em>Ab initio</em> simulations were driven by M062X/6-31G* with a Berendsen thermostat at 340K. We reported coordinates, energies, and forces for each conformation.
DOI: 10.5281/zenodo.8059578
title: Dataset related to paper "Preliminary Analysis of Non-destructive Test Methods to Evaluate the Self-healing Efficiency on the Construction Site"

description: Dataset of the study reported in the conference paper ""Preliminary Analysis of Non-destructive Test Methods to Evaluate the Self-healing Efficiency on the Construction Site" presented at the SynerCrete'23 Conference (14-16 June 2023, Milos Island, Greece).
DOI: 10.5281/zenodo.8059579
title: Dataset related to paper "Preliminary Analysis of Non-destructive Test Methods to Evaluate the Self-healing Efficiency on the Construction Site"

description: Dataset of the study reported in the conference paper ""Preliminary Analysis of Non-destructive Test Methods to Evaluate the Self-healing Efficiency on the Construction Site" presented at the SynerCrete'23 Conference (14-16 June 2023, Milos Island, Greece).
DOI: 10.25318/9810036701-eng
title: First official language spoken by mobility status 5 years ago, language used most often at work and highest level of education: Canada, provinces and territories and census metropolitan areas with parts

description: Data on first official language spoken by mobility status 5 years ago, language used most often at work, occupation - National Occupational Classification (NOC) 2021, highest certificate, diploma or degree and age for the population aged 15 years and over who worked since 2020, in private households of Canada, provinces and territories and census metropolitan areas with parts.
DOI: 10.25318/9810036701-fra
title: Première langue officielle parlée selon la mobilité 5 ans auparavant, la langue utilisée le plus souvent au travail et le plus haut niveau de scolarité : Canada, provinces et territoires et régions métropolitaines de recensement y compris les parties

description: Données sur la première langue officielle parlée selon la mobilité fondée sur une période de 5 ans, la langue utilisée le plus souvent au travail, la profession – Classification nationale des professions (CNP) 2021, le plus haut certificat, diplôme ou grade et l'âge pour la population âgée de 15 ans et plus qui travaillait depuis 2020, dans les ménages privés au Canada, dans les provinces et territoires, les régions métropolitaines de recensement et les parties.