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1,987 results for “mode”
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 3. Hybrid EMD-BP approach for one trail feature extraction
<p>In this work, we propose a direct nonlinear approach to extract the more relevant IMFs corresponding to the different frequency components in the and bands and then obtain the BP in order to use them as features for mental task classification (see Fig. 3). The feature vector p used for the demonstration in this paper is composed, for each sample I, 1 < i < 2048, in a given trial (among a total of 160 trials) of four bandpower, calculated of the rhythms and in positions C3 and C4 Trad et al., 2011).</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 4b. The EMD decomposition results for subject 2 when he imagines left hand movement
<p>d et al., 2011). Fig. 4 shows the EMD decomposition result of one-trial (left hand movement imagination) for subject 2 in the channels C3 and C4 respectively (the pre-filtered EEG signal used for this illustration is not corrupted by blinking artifact.). Each channel is decomposed into ten IMFs and one residue.</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 6. The general conception of our asynchronous system BCI (offline - online) for reinforcement of a joystick movement
<p>Once the motor imagery is identified, a command may be associated to this mental task in order to control a machine (Prataksita et al., (2014)) (Guger et al., 1999). In this work, we constructed a new Simuhnk/MathWork model to translate on-line the EEG signals into low-level commands. Fig. 6 shows our experimental EEG-based BCI System </p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 1. General architecture of an online (BCI)
<p>One major challenge of our BCI system is to describe the signals EEG by a few relevant values called features i.e. step 3 in Fig (1). The success of the mental imagery classification depends on the choice of features used to characterize the raw EEG signals. These features can then be used in step 4 in order to classify the user’s mental state. Several approaches for feature extraction have been proposed in literature. </p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 3. Hybrid EMD-BP approach for one trail feature extraction
<p>In this work, we propose a direct nonlinear approach to extract the more relevant IMFs corresponding to the different frequency components in the and bands and then obtain the BP in order to use them as features for mental task classification (see Fig. 3). The feature vector pi used for the demonstration in this paper is composed, for each sample I, 1 < i < 2048, in a given trial (among a total of 160 trials) of four bandpower, calculated of the rhythms and in positions C3 and C4 (Trad et al., 2011).</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 2. Timing of one trial of the experiment with continuous feedback (Guger et al, 2001)
<p>At the beginning of each trial (t = 0 s), a fixation cross appeared on the black screen. After two seconds a warning stimulus was given in the form of a beep. From 3 to 4.25s, an arrow (cue stimulus), pointing to the left or right, was shown on the screen. The subject was instructed to imagine a left or right hand movement until the end of the trial, depending on the direction of the arrow. The EEG was sampled and classified on line throughout the session. Between 4.25 and 8s, the classification result was used to give a continuously updated feedback stimulus in the form of a horizontal bar that appeared in the center of the screen. The paradigm is illustrated in fig (2).</p>
Optimal modes for wavefront sensorless adaptive optics. Turbulence- and oocyte-induced phase screens and Mathematica notebooks.
<p>This notebook and phase screens constitute a numerical experiment to calculate the error of the wavefront approximation using first N modes of the a) Zernike and b) Lukosz-Braat polynomials, c) SVD modes obtained with respect to the gradient-dot product, and the d) eigenfunctions of the Laplace operator with the Neumann boundary conditions. It's a complementary material to a paper submitted to Optics Express.</p>
Data from Figures in "Selection rules for cavity-enhanced Brillouin light scattering from magnetostatic modes"
<p>Data from figures in our paper "Selection rules for cavity-enhanced Brillouin light scattering from magnetostatic modes" in Physical Review B. The figures are in an Origin file (OriginPro 2016). Matlab code (R2016b) that can be used to generate plots of the magneto-static modes is also included.</p>
Scalasca analysis report for SPEC MPI.2007 benchmark 132.zeump2 on 512 processes in virtual-node mode on Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca 1.x parallel analyzer of a measurement of the SPEC MPI 2007 benchmark 132.zeusmp2 (ZeusMP/2) executed in virtual-node mode on 512 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P with manually annotated iterations
<p>A Cube3 performance analysis report written by the Scalasca parallel analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 294,912 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH. The measurement includes system topology information and manual annotations of the twelve iterations.</p>
Erosion threshold and mode of failure of biofilm surrogates
<p>This dataset provides the raw data from laboratory experiments investigating the failure mechanisms and erosion thresholds of surrogate biofilms. The experiments were conducted as part of HYDRALAB+ JRA 1 RECIPE. More than 60 erosion experiments were carried out at the FZK (Forschungszentrum Küste) using different mixtures of Xanthan Gum and sand fractions. </p>
Concrete mixed mode fracture test CARPIUC Benchmark « Predefined loadings » NP2 & P4
<p>The following data can be used for <strong>benchmarking numerical simulations of crack propagation test on quasi-brittle materials</strong>.</p> <p>Two crack propagation tests are proposed here, close to the well-known Nooru-Mohamed tests, but with modern instrumentation so that they provide trustworthy data. They present <strong>initiation and propagation</strong>. The goal is to compare your simulation results with the measured <strong>crack paths</strong> and <strong>force-displacement curves</strong>.</p> <p>The input data consists in specimen geometry, experimentally determined material properties (Young modulus, tensile strength, compressive strength and fracture energy) and the <strong>measured boundary conditions</strong>.</p>
Concrete mixed mode fracture test CARPIUC Benchmark « Interactive loadings » IT1, IT2 & IT3
<p>The following data can be used for <strong>benchmarking numerical simulations of crack propagation test on quasi-brittle materials</strong>.</p> <p>Three crack propagation tests are proposed, inspired to some extent by the well-known Nooru-Mohamed tests. They present <strong>initiation, propagation, reorientation, link-up and branching</strong>. The goal is to compare your simulation results with the measured <strong>crack paths</strong> and <strong>force-displacement curves</strong>.</p> <p>The input data consists in specimen geometry, experimentally determined material properties (Young modulus, tensile strength, compressive strength and fracture energy) and the <strong>measured boundary conditions</strong>.</p>
Very low latitude whistler-mode data
<p>Very low latitude whistler-mode data as zipped text. Newer version at: doi.org/10.5281/zenodo.3381090</p>
Buoyancy Waves in Earth's Nightside Magnetosphere: Normal-Mode Oscillations of Thin Filaments
<ul> <li>A theory has been developed for small oscillations of a thin filament in the magnetosphere.</li> <li>For the lowest-frequency even modes, the eigenfunctions are essentially buoyancy waves in the plasma sheet, but they are more like slow modes in the inner magnetosphere.</li> <li>For the lowest-frequency even modes, the eigenfrequencies (radians/s) have peak values of approximately 0.07 s<sup>-1</sup> between the inner plasma sheet and plasmapause, for an average magnetospheric field. </li> <li>This includes software and model data used in this paper.</li> <li>Submitted to JGR for review</li> </ul>
Text-fig. 5. Free living colonies, showing a mode of preservation which does not allow for precise determination but clearly exhibiting features characteristic for Smittipora and/or Cupuladria and/or Reusirella. (note the clear intrazooecial buds). Specimen deposited in NM Prague under number T 3319. A – imprint, B – counterpart to fig A. C – Specimen deposited in SNM under number Z 37724. Optic photography. Scale bar 1 mm. in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications
Text-fig. 5. Free living colonies, showing a mode of preservation which does not allow for precise determination but clearly exhibiting features characteristic for Smittipora and/or Cupuladria and/or Reusirella. (note the clear intrazooecial buds). Specimen deposited in NM Prague under number T 3319. A – imprint, B – counterpart to fig A. C – Specimen deposited in SNM under number Z 37724. Optic photography. Scale bar 1 mm.
Text-fig. 4. Reteporella sp., deposited in NM Prague under number T 3318. A – Large colony suggesting very short transport. Scale bar 10 mm. Optic photography. B – the detail of branch showing the mode of preservation (no original skeleton preserved). Scale bar 1 mm. SEM photography (BSE detector). in The Priabonian Bryozoan-Decapod Association From The Borové Formation (The Ďurkovec Quarry, Ne Slovakia) And Its Palaeoecological Implications
Text-fig. 4. Reteporella sp., deposited in NM Prague under number T 3318. A – Large colony suggesting very short transport. Scale bar 10 mm. Optic photography. B – the detail of branch showing the mode of preservation (no original skeleton preserved). Scale bar 1 mm. SEM photography (BSE detector).
Fig. 5 in Evidence for cryptic diversity in the Neotropical water snake, Helicops angulatus (Linnaeus, 1758) (Dipsadidae, Hydropsini), with comments on its ecology, facultative reproductive mode, and conservation
Fig. 5. Illustration of the holotype of Coluber surinamensis Shaw. From Sebae (1735, Vol. 2, pl. 59, Fig. 2).
Fig. 3 in Evidence for cryptic diversity in the Neotropical water snake, Helicops angulatus (Linnaeus, 1758) (Dipsadidae, Hydropsini), with comments on its ecology, facultative reproductive mode, and conservation
Fig. 3. Best Maximum Likelihood tree based on the data set of concatenated 12S and 16S rDNA, and c-mos sequences. The red clade depicts the Helicops angulatus group. On the left and right sides of a slash (/) are values indicated at nodes for Maximum Likelihood bootstraps (> 75%) and Bayesian Posterior probability values (> 95%), respectively. Green clades represent the paraphyly of Helicops angulatus. The name Helicops pictiventris is currently a junior synonym of H. infrataeniatus, but it appears in the tree exactly as the pertinent sequences appear in the GenBank dataset.
Fig. 1 in Evidence for cryptic diversity in the Neotropical water snake, Helicops angulatus (Linnaeus, 1758) (Dipsadidae, Hydropsini), with comments on its ecology, facultative reproductive mode, and conservation
Fig. 1. The distribution of Helicops angulatus in the Neotropics. Locality data is from the VertNet and GBIF databases, as well as the literature. Diamonds (green oviparous, yellow viviparous): specimens reported in Appendix B of Braz et al. (2016); red stars represent localities where Helicops was sampled for DNA; small black markers: localities from Helicops angulatus map in Nogueira et al. (2019). As currently defined Helicops angulatus occurs in Freshwater Ecoregions: 301 North Andean Pacific Slopes, Rio Atrato; 302 Magdalena, Sinu; 304 South America Caribbean Drainages, Trinidad; 307 Orinoco Llanos; 308 Orinoco Guiana Shield; 311 Guianas; 313 Western Amazon Piedmont; 317 Ucayali, Urubamba Piedmont; 318 Mamore, Madre de Dios Piedmont; 319 Guapore, Itenez; 320 Tapajos, Juruena; 321 Madeira Brazilian Shield; 323 Amazonas Estuary and Coastal Drainages; 324 Tocantins, Araguaia; 325 Parnaiba; and 328 Northeastern Mata Atlantica.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.