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952 results for “Noise”
Dataset for Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
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2M++ shot noise
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Synthetic Data for Neutrophil Analysis: Sets one large neutrophil shape and Poisson noise
<p><strong>Synthetic Datasets with one large irregular shape and Poisson noise.</strong></p> <p><strong>Part of the PhagoSight neutrophil tracking and analysis package (Henry, et al., PLOS ONE, 2013):</strong></p> <p> </p> <p>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0072636</p> <p>http://www.phagosight.org</p> <p>https://github.com/phagosight/phagosight</p> <p> </p> <p>A series of synthetic data sets that reproduce different behaviour characteristics of migrating neutrophils were generated in MATLAB. The data sets consisted of one artificial neutrophil that travelled along a path that presented different conditions of tortuosity, times to activation during 98 time frames.</p> <p>Numerous data sets of neutrophils in zebrafish were carefully observed before setting the characteristics. One trajectory was manually determined by setting the row, column positions of the centroid at every time point for 98 time frames. The trajectory was designed so that it would represent different neutrophil behaviours: some moments were very oriented and had movements with uniform distance between time frames, whilst others were less uniform and would move at different velocities, some were tortuous whilst others were straight.</p> <p>Each time frame consisted of 11 slices of z-stack each with 275 x 275 pixels, where the neutrophil was formed by Gaussian distributions of higher intensities than the background and <strong>Poisson noise </strong>(check the corresponding sets with <strong>smaller </strong>regular shapes with Gaussian noise and irregular shapes with Poisson noise).</p> <p> </p> <p>Files corresponding to the sets with irregular shapes and Poisson noise (noise increases from 1 to 5):</p> <ul> <li><strong> Ground Truth syntheticData_L_mat_La </strong></li> <li><strong> First data set syntheticData_L1_mat_Re</strong></li> <li><strong> Second data set syntheticData_L2_mat_Re</strong></li> <li><strong> Third data set syntheticData_L3_mat_Re</strong></li> <li><strong> Fourth data set syntheticData_L4_mat_Re</strong></li> <li><strong> Fifth data set syntheticData_L5_mat_Re</strong></li> </ul> <p> </p> <p>Corresponding GIF files are also included as illustrations of the cells in motion.</p> <p> </p> <p>Main Reference:</p> <p><a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0072636"><strong><em>PhagoSight</em>: An Open-Source MATLAB® Package for the Analysis of Fluorescent Neutrophil and Macrophage Migration in a Zebrafish Model</strong> </a><br> Henry KM, Pase L, Ramos-Lopez CF, Lieschke GJ, Renshaw SA, Reyes-Aldasoro CC. (2013) <em>PhagoSight</em>: An Open-Source MATLAB® Package for the Analysis of Fluorescent Neutrophil and Macrophage Migration in a Zebrafish Model. PLOS ONE 8(8): e72636. <a href="https://doi.org/10.1371/journal.pone.0072636">https://doi.org/10.1371/journal.pone.0072636</a></p>
SNU-B36-50E: AN INTER-FLOOR NOISE DATASET
<p>SNU-B36-50 is an inter-floor noise dataset collected in building 36 at Seoul National University. It is designed for evaluation of an inter-floor noise type/position classifier. The dataset is a part of the conference paper: <a href="https://ieeexplore.ieee.org/abstract/document/8521392">https://ieeexplore.ieee.org/abstract/document/8521392</a> and a convolutional neural networks-based inter-floor noise type/position classifier is evaluated with the expanded version (SNU-B36-50E) in a paper titled "Classification of inter-floor noise type/position via convolutional neural network-based supervised learning” (submitted to <em>Applied Sciences</em>).</p> <p>The inter-floor noises included in the dataset can be classified into 5 noise types and 19 positions.</p> <p>The noise types are</p> <p> - A medicine ball falling on the floor from a height of 1.2 m (MB)</p> <p> - A Hammer dropped from 1.2m above the floor (HD)</p> <p> - Hammering (HH)</p> <p> - Chair dragging (CD)</p> <p> - Running a vacuum cleaner (VC)</p> <p>And the positions ([floor][distance from the origin along the X-coordinate]) are</p> <p> - 1F0m, 1F6m, 1F12m</p> <p> - 2F0m, 2F6m, 2F12m</p> <p> - 3F0m, 3F1m, 3F2m, 3F3m, 3F4m, 3F5m, 3F6m, 3F7m, 3F8m, 3F9m, 3F10m, 3F11m, 3F12m</p> <p>A smartphone microphone was used as a receiver to record the inter-floor noises. The noises were sampled at 44,100Hz for ~5 s.</p> <p>Instructions and related codes are available at the GitHub repository:</p> <p><a href="https://github.com/yodacatmeow/indoor-noise/tree/master/indoor-noise-set/SNU-B36-50E">https://github.com/yodacatmeow/indoor-noise/tree/master/indoor-noise-set/SNU-B36-50E</a></p>
Transient electromagnetic data de-noising
<p>The synthetic datasets for the LSTM-autoencoder training and the field dataset.</p>
Noise impact on NREM sleep: differences in Up and Down state transitions
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Impact of external stimuli on NREM sleep dynamics: noise-driven differences in Up and Down state transitions
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Ambient noise cross-correlation waveforms
<p>The ambient noise cross-correlation waveforms obtained in this study</p> <div> </div> <div> </div> <div></div> <div></div>
ambient noise cross-correlation waveforms
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The Chinese Pulsar Timing Array Data Release I: Single pulsar noise analysis
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Data for MS: Optimization of signal and noise in x-ray phase and dark field imaging with a wire mesh
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A comprehensive model for separating systematic bias and noise in metabolomic timecourse data -- A nonlinear B-spline mixed effect approach
<p>Code for the analysis and validation of the systematic error correction model presented.</p>
Data from: Experience modulates an insect's response to anthropogenic noise
In response to anthropogenic noise, vertebrates express modified acoustic communication signals either through individual plasticity or local population adaptation. In contrast, how insects respond to this stressor is poorly studied. Field crickets Gryllus bimaculatus use acoustic signals to attract and locate mates and are commonly found in noisy roadside environments, offering a powerful system to study the effects of anthropogenic noise on insect communication. Rapid repetition of sexual calls (chirps) is essential to attract females, but calling incurs energetic costs and attracts predators. As a result, males are predicted to reduce calling rates when background noise is high. Here, we combine observations and experimental playbacks to show that the responses of Field cricket males to anthropogenic noise also depend on their previous experience with passing cars. First, we show that males living on highway edges decrease their chirp rate in response to passing cars. To assess whether this behavioural response depends on previous exposure to car noise, we then broadcast recordings of car noise to males located at different distances from the road and, therefore, with different previous exposure to car noise. Although all tested individuals responded to broadcasted traffic noise, males closest to the road decreased their chirp rate less than individuals calling further from the road. These results suggest that regular exposure to anthropogenic noise may decrease individuals' sensitivity and behavioural responses to noise, allowing them to maintain effective signalling rates. Behavioural plasticity modulated by experience may thus allow some insect species to cope with human-induced environmental stressors.
Increased signal to noise ratios within experimental field trials by regressing spatially distributed soil properties as principal components.
<p>Data and scripts used to perform all analyses and produce all figures for publication. </p>
Burkina Faso mobility data with some noise
<p>Human mobility is a core component of human behavior and its quantification is critical for understanding its impact on infectious disease transmission, traffic forecasting, access to resources and care, intervention strategies, and migratory flows. When mobility data are limited, spatial interaction models have been widely used to estimate human travel, but have not been extensively validated in low- and middle-income settings. Geographic, sociodemographic, and infrastructure differences may impact the ability for models to capture these patterns, particularly in rural settings. Here, we analyzed mobility patterns inferred from mobile phone data in four Sub-Saharan African countries to investigate the ability for variants on gravity and radiation models to estimate travel. Adjusting the gravity model such that parameters were fit to different trip types, including travel between more or less populated areas and/or different regions, improved model fit in all four countries. This suggests that alternative models may be more useful in these settings and better able to capture the range of mobility patterns observed.</p>
Data release: Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors
<p>This contains the data release associated to "Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors".</p> <p>We provide the figures, machine-readable json summary files associated to Tables I-IV, scripts and data products used to produce the hyperparameter inference results in this publicatioln. A "lightweight" version is provided which excludes the pickled data products. To reproduce the results, download the full tar file, unzip, enter the scripts directory, and use the Makefile commands. These results where created using bilby v1.1.3 at commit hash <a href="https://git.ligo.org/lscsoft/bilby/-/commit/63c7aacaf30d721e77599bd11f3a9fa2447915cb">63c7aaca</a>.</p>
Filter feeding, deviations from bilateral symmetry, developmental noise and heterochrony of hemichordate and cephalochordate gills
<p><span>We measured gill slit fluctuating asymmetry (FA), a measure of developmental noise, in adults of three invertebrate deuterostomes with different feeding modes: the cephalochordate <i>Branchiostoma floridae </i>(an obligate filter feeder), and the enteropneusts<i> Protoglossus graveolens</i> (a facultative filter feeder / deposit feeder) and <i>Saccoglossus bromophenolosus</i> (a deposit feeder). FA was substantially and significantly low in <i>B. floridae</i><i> </i>and <i>P. graveolens,</i> and high in <i>S. bromophenolosus</i>. Our results suggest that the gills of species that have experienced a relaxation of the filter feeding trait exhibit elevated FA. We found that the timing of development of the secondary collagenous gill bars, compared to the primary gill bars, was highly variable in <i>P. graveolens </i>but not the other two species, demonstrating an independence of gill FA from gill bar heterochrony. We also discovered the occasional ectopic expression of a second set of paired gills posterior to the first set of gills in the enteropneusts, and that these were more common in <i>S. bromophenolosus</i>. Moreover, our finding that gill slits in enteropneusts exhibit bilateral symmetry suggests that the left-sidedness of larval cephalochordate gills, and the directional asymmetry of Cambrian stylophoran echinoderm fossil gills, evolved independently from a bilaterally symmetric ancestor.</span></p>
Datasets and R source code of manuscript "Adding insult to injury: anthropogenic noise intensifies predation risk by an invasive freshwater fish species" by Fernandez Declerck et al.
<p>Datasets and R source code of manuscript "Adding insult to injury: anthropogenic noise intensifies predation risk by an invasive freshwater fish species" by Fernandez Declerck et al. (submitted)</p> <p> Project<br> ├── README<br> ├── data_functional_response.txt<br> ├── data_prey_behaviour.txt<br> ├── R_script.R<br> └── BINV-D-22-00447_Playback.wav</p> <p>Main dataset: 'data_functional_response.txt'. Dataset for the functional response of the predator. Fish behaviour was recorded under two noise conditions (either boat noise or ambient noise). The dataset corresponds to data frame "d" in the script. Variables description:<br> - id: identity of the fish<br> - condition: noise condition, either "boat noise" or "ambient noise"<br> - prey_number: number of chironomid larvae introduced in the tank<br> - prey_captured : number of chironomid larvae consumed<br> - fish_mass : fish body mass (g)<br> - swim_distance: swim distance (m)</p> <p>Secondary dataset: 'data_prey_behaviour.txt'. Dataset for control experiment on prey behaviour. Prey behaviour was recorded under two noise conditions (either boat noise or ambient noise). The dataset corresponds to data frame "f" in the script. We used 20 replicates with 10 replicates for ambient noise condition, and 10 replicates for boat noise condition. Two focal prey larva were observed per replicates. Each prey larva was observed during two time periods (corresponding to two noise sequences). Variables description:<br> - condition: noise condition, either "boat noise" or "ambient noise"<br> - replicate: number of the replicate<br> - unique_id: identity of each focal larva<br> - noise_sequence: number of the noise sequence (either second or third)<br> - prop_inactive: proportion of time spent inactive by the focal larva<br> - prop_active: proportion of time spent active by the focal larva</p> <p>R source code 'code R_script.R'. Complete analysis as one single R script. See comments for additional information.</p> <p>The last file `BINV-D-22-00447_Playback.wav` is an audio file (Waveform Audio File Format). It is the soundtrack used in the playback experiments.</p>
Exploiting the potential of urban DAS grids: Ambient-noise subsurface imaging using joint Rayleigh and Love waves
<p>Ambient-noise cross-correlation functions used in this study.</p> <p>This work can be found at GitHub: <a href="https://github.com/NickJi98/DAS_Love_wave_2024_SRL.git" target="_blank" rel="noopener">https://github.com/NickJi98/DAS_Love_wave_2024_SRL.git</a></p>
Inferring the Astrophysical Population of Gravitational Wave Sources in the Presence of Noise Transients Data Release
<p>Data release for paper "Inferring the Astrophysical Population of Gravitational Wave Sources in the Presence of Noise Transients."</p> <p>To read in one of the result files and obtain the posterior samples, type</p> <pre><code class="language-python">import bilby result = bilby.core.result.read_in_result(filename="contaminant_0_result.json") samples = result.posterior</code></pre> <p> </p>
ScienceDex guides
Understand access before you commit
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.