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11 results for “synchronized measurements”
Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space).
<p>Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space), and figures.</p>
Synchronously recorded gait kinematic data with Inertial Measurement Units and a photogrammetry system for a validation assessment
<h3>Description</h3> <p>A gait database of 32 healthy adult subjects was built , volunteers were between 20 and 63 y.o. (33.64 ± 12.44) and 71.88% were females. Every individual underwent a barefoot walking test recorded simultaneously with Inertial Measurement Units (IMUs) and the photogrammetry system Vicon. The dataset contains the kinematic gait information of the hip, knee, and ankle joints in the three planes of motion: sagittal, frontal, and transversal. </p> <p>The signals recorded by the IMUs are referred to as I(t) and were captured with a sampling frequency of 50 Hz, and those recorded by the photogrammetry system are called V(t) and were captured with a sampling frequency of 100 Hz. To perform a comparative study of both systems, the V(t) signals must be resampled to 50 Hz. Then, the delay between the two signals must be corrected to align them. Finally, gait cycles can be extracted for each pair of trials following the data information provided, obtaining a pair of waveforms for each gait cycle [I(t), V(t)]. A total of 268 synchronous gait cycles [I(t), V(t)] can be recovered and analyzed in the three planes of motion per limb.</p> <h3>Data information</h3> <ul> <li><em>raw_data</em>: folder containing the 32 subjects raw kinematic signals recorded with IMUs (sampling frequency 50 Hz) and photogrammetry system (sampling frequency 100 Hz) synchronously.<br> <ul> <li>For IMUs records: <ul> <li>Z: sagittal plane.</li> <li>X: frontal plane.</li> <li>Y: transversal plane.</li> </ul> </li> <li>For photogrammetry system records: <ul> <li>X: sagittal plane.</li> <li>Y: frontal plane.</li> <li>Z: transversal plane.</li> </ul> </li> </ul> </li> </ul> <ul> <li><em>captures_information.xlsx</em>: table containing the delay correction and the samples corresponding to the events of the gait cycles. The delay correction is the number of samples for which each photogrammetry signal V(t), after being resampled to 50 Hz, must be moved to be completely aligned with its synchronous IMUs signal couple I(t). <ul> <li>If the delay is positive (+) the V(t) signal must be delayed by adding zeros at the beginning.</li> <li>If the delay is negative (-) the V(t) signal must be moved forward by removing zeros at the beginning.</li> </ul> </li> </ul>
Data set for "Measuring synchronization and anticipation between individual investors from their daily performance"
<p>The data stored here is used as a support of the paper "Measuring<br> synchronization and anticipation between individual investors from their<br> daily performance" where a measure based on Mutual Information and<br> Transfer of Entropy is used in order to map investors' behaviour and which<br> ones are following same behavioural patterns.</p> <p>The study linked to this data is published on pre-print Arxiv.org<br> with the following citation:</p> <p><br> Mario Gutiérrez-Roig, Javier Borge-Holthoeffer, Alex Arenas and<br> Josep Perelló. Measuring synchronization and anticipation between<br> individual investors from their daily performance (2018)</p>
Experimental Database of deterministic wave prediction built from synchronous measurements from an X-band pulse radar and met-ocean sensors deployed on the Floatgen floating wind turbine and its vicinity on SEM-REV test site.
<p>This dataset is a deliverable of the FLOATECH project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101007142.<br> The aim of this dataset is a result of the field experiments carried out at the Floatgen FOWT located at the SEM-REV test site.</p>
Self-synchronized cost-effective time-resolved measurements at x-ray free-electron lasers with femtosecond resolution
<p>In compliance with guidelines from SNSF (Swiss National Science Foundation), we upload the raw data that belongs to a publication we submitted to <em>Physical Review Research</em>.<br> The dataset also contains the analysis scripts used to produce the plots we show in the publication.</p> <p>Our software is attached to the dataset. An installation of the well known ELEGANT code is required to run it.</p> <p>Shortly after upload of the first version of this dataset, a bug was found in the analysis software.<br> The second version contains the corrected software.</p>
Data for: Capturing synchronization with complexity measure of ordinal pattern transition network constructed by Crossplot
<p><span>To evaluate the synchronization of bivariate time series has been a hot topic and a number of measures have been proposed. In this work, by introducing the ordinal pattern transition network (OPTN) into the crossplot,</span> <span>a new method for measuring the synchronisation of bivariate time series is proposed.</span> <span>After the crossplot been partitioned and coded, the coded partitions are defined as network nodes and a directed weighted network is constructed based on the temporal adjacency of the nodes. The crossplot transition entropy (CPTE) of the network is proposed as an indicator of the synchronization between two time series. To test the characteristics and performance of the method, it is used to analyse the unidirectional coupled Lorentz model</span> <span>and compared it with existing methods. The results showed the new method had the advantages of easy parameter setting, efficiency, robustness, good consistency and suitable for short time series. Finally, EEG data from auditory evoked potential EEG-Biometric dataset are investigated, and some useful and interesting results are obtained.</span></p>
Data for: Capturing synchronization with complexity measure of ordinal pattern transition network constructed by Crossplot
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Synchronous PIV measurements of a self-powered blood turbine and pump couple for right ventricle support
<p>A blood turbine-pump system (iATVA) was proposed as a self-driven, motorless mechanical right-heart assist device. In this study, the iATVA system is investigated with particular emphasis on the blood turbine flow dynamics. A time-resolved 2D particle image velocimetry (PIV) set-up allowed simultaneous recordings from both the turbine and pump impellers. Results showed that magnetically coupled impellers operated synchronously. As the turbine flow rate increased from 1.6 to 2.4 LPM, the rotational speed and relative inlet flow angle increased from 630 to 900 rpm, and 38 to 55% respectively. At the trailing edges, backflow region spanned 3/5 of the total passage outlet flow, and an extra leakage flow was observed at the leading edge. For this initial turbine design, ~75% of the turbine blade passage was not contributing to the impulse operation mode. The maximum non-wall shear rate was ~2288 s<sup>-1</sup> near to the inlet exit, which is significantly lower than the commercial blood pumps, encouraging further research and blood experiments of this novel concept. Experimental results will improve the hydrodynamic design of the turbine impeller and volute regions and will be useful in computational fluid dynamics validation studies.</p>
Рис. 5. Суточная активность поΑземной поΛевки (на примере синхронной активности ♀ № 1 и № 3, ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 5. Daily activity of the common pine vole (on the example of synchronous activity of ♀ No. 1 and 3, ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology) in Spatial Organization Of Common Pine Vole (Microtus Subterraneus Selys-Longchamps, 1836) Colonies
Рис. 5. Суточная активность поΑземной поΛевки (на примере синхронной активности ♀ № 1 и № 3, ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 5. Daily activity of the common pine vole (on the example of synchronous activity of ♀ No. 1 and 3, ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology)
Acute Effect of Three Neuroactive Drugs Measured by Magnetoencephalography (MEG), Electroencephalography (EEG) and the Synchronous Neural Interaction Test
ClinicalTrials.gov study NCT00972985. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Tinnitus Measured by MEG and Synchronous Neural Interaction™ Test: Template Development
ClinicalTrials.gov study NCT01185990. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.