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952 results for “Noise”
Data for "Challenges of variational quantum optimization with measurement shot noise"
<p>In this repository, we save all the data used in the article <em>"Challenges of variational quantum optimization with measurement shot noise"</em> <a href="https://doi.org/10.1103/PhysRevA.109.032408" target="_blank" rel="noopener">Phys. Rev. A 109, 032408</a>.</p> <p>For reproducing the same figure as in the article, we provide an interactive notebook 'paper-figure.ipynb' and its HTML version. </p> <p><strong>Data</strong></p> <p>Unzip with</p> <pre><code>tar -xvf data.tar.gz</code></pre> <p>You will find ten data files:</p> <ul> <li> `dataferro.csv` Ferromagnetic model both for VQE and QAOA with random parameters initialization;</li> <li>`datanoise.csv`Ferromagnetic model for VQE with random parameters initialization and circuit noise;</li> <li>`data_spinglass.csv` Disordered model both for VQE and QAOA with random parameters initialization;</li> <li>`data_linopt.csv` Ferromagnetic model for QAOA with annealing-like parameters initialization;</li> <li>`data_lininit_rand.csv` Disordered model for QAOA with annealing-like parameters initialization;</li> <li>`data_spinglass_iter1.csv` Disordered model for QAOA, no optimization and random parameters initialization;</li> <li>`data_opt16shots.csv` Ferromagnetic model for QAOA, no optimization and annealing-like parameters initialization;</li> <li>`datagrad.csv` Ferromagnetic model for VQE with gradient-based optimization;</li> <li>`datagrad_eps05.csv` Ferromagnetic model for QAOA with gradient-based optimization;</li> <li>`grad_epsilon.npz` Ferromagnetic model for QAOA with gradient-based optimization, varying \(\varepsilon\) in the finite differences formula.</li> </ul> <p>Most of the data are CSV sheets, where you can find the aggregate results of the simulations described in our article. </p> <p><strong>Abstract</strong></p> <p>Quantum enhanced optimization of classical cost functions is a central theme of quantum computing due to its high potential value in science and technology.<br>The variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm (QAOA) are popular variational approaches that are considered the most viable solutions in the noisy-intermediate scale quantum (NISQ) era.<br>Here, we study the scaling of the quantum resources, defined as the required number of circuit repetitions, to reach a fixed success probability as the problem size increases, focusing on the role played by measurement shot noise, which is unavoidable in realistic implementations.<br>Simple and reproducible problem instances are addressed, namely, the ferromagnetic and disordered Ising chains. <br>Our results show that: </p> <ol> <li>VQE with the standard heuristic ansatz scales comparably to direct brute-force search when energy-based optimizers are employed. The performance improves at most quadratically using a gradient-based optimizer;</li> <li>When the parameters are optimized from random guesses, also the scaling of QAOA implies problematically long absolute runtimes for large problem sizes;</li> <li>QAOA becomes practical when supplemented with a physically-inspired initialization of the parameters.</li> </ol> <p>Our results suggest that hybrid quantum-classical algorithms should possibly avoid a brute force classical outer loop, but focus on smart parameters initialization.</p>
Dynamic traffic noise levels (LAeq) in the city of Tartu for two times of the day: 04:00 and 16:00
<p>Animations of the dynamic traffic noise levels (LAeq) in the city of Tartu, Estonia, for two times of the day: (a) 04:00 (sparse traffic) and (b) 16:00 (dense traffic). Blue circles represent the location of vehicles. Colours on receiver points represent noise levels according to legend (c).</p>
Datasets for the article "Embedded Digital Phase Noise Analyzer for Optical Frequency Metrology"
<p>These files contain the datasets related to the figures presented in the article Donadello et al. (2023) "Embedded Digital Phase Noise Analyzer for Optical Frequency Metrology", IEEE Transactions on Instrumentation and Measurement, 72, pp. 1–12, Article Sequence Number: 2005412. Available at: https://doi.org/10.1109/TIM.2023.3288255.<br> Each dataset is related to the respective figure number in the article, as indicated in the filename (e.g. "data_fig3a.csv" contains the data used to produce Fig. 3, subplot a).</p> <p>All the files are formatted in the comma-separated format.</p> <p>Description:<br> "data_fig3a.csv": coefficients for IQ demodulation and filtering, with f_int=200kHz.<br> "data_fig3b.csv": frequency response of demodulation filtering, with f_int=200kHz and f_int=10kHz.<br> "data_fig4a.csv": power spectral density (PSD) of frequency signals, at different signal amplitudes.<br> "data_fig4b.csv": overlapping Allan deviation of frequency signals, with either OCXO and maser references.<br> "data_fig4c.csv": measured signal frequency and amplitude as a function of nominal frequency deviation.<br> "data_fig4d.csv": measured signal amplitude as a function of nominal amplitude.<br> "data_fig5.csv": example signals related to the synchronized acquisition of RF inputs.<br> "data_fig7a.csv": synchronized time series of frequency deviation acquired over a fiber link in the self-heterodyne interference scheme.<br> "data_fig7b.csv": PSD of the frequency signals acquired over a fiber link in the self-heterodyne interference scheme.<br> "data_fig8a-without-corr.csv": synchronized time series of frequency deviation acquired over a fiber link in the heterodyne interference scheme without frequency drift correction.<br> "data_fig8a-with-corr.csv": synchronized time series of frequency deviation acquired over a fiber link in the heterodyne interference scheme with frequency drift correction.<br> "data_fig8b.csv": PSD of the frequency signals acquired over a fiber link in the heterodyne interference scheme.</p>
Week-long continuous noise levels measured by an IoT-based device - EcoDecibel, in Sanzhi District, Taiwan, Aug 12 2021 - Aug 18 2021.
Noise pollution is a growing concern in urban and rural environments, impacting public health and quality of life. We conducted a study to check the validation of an IoT based, low cost, noise sensor - EcoDecibel as compared to traditional Class 1 and Class 2 noise meters in indoor as well as outdoor environments. Data was collected continuously over a seven-day period at various sites, including arterial roadways, county highways, and environmental areas. The primary objective was to evaluate the performance of the EcoDecibel device in comparison to the gold standard noise meters which was conducted in different settings in indoor and outdoor environments and then the EcoDecibel device was set up in field to analyse the real world noise measurements.Despite its lower cost, the EcoDecibel device demonstrated a high degree of accuracy with an R2 value of 0.9 when compared to the standard devices. This dataset provides valuable insights into noise pollution levels across different environments and highlights the potential of low-cost noise measurement devices for widespread monitoring and research. The metadata accompanying this dataset includes detailed information on the experimental setup, data collection methods, and analysis procedures. The dataset is openly available for further research and validation, promoting transparency and reproducibility in environmental noise studies.
ASPLOS20-AE Artifact Dataset for 'Noise-Aware Dynamical System Compilation for Analog Devices with Legno'
<p>The empirical model database and dataset for the ASPLOS 2020 Paper 'Noise-Aware Dynamical System Compilation for Analog Devices with Legno'</p>
Supporting data for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences"
<p>Datasets, analysis scripts and simulations for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences".</p> <p>For more information and instructions, see READ ME.txt.</p> <p>For questions, contact Jelmer Boter (j.m.boter@tudelft.nl) or Lieven Vandersypen (l.m.k.vandersypen@tudelft.nl).</p>
Noise files for the DISCO dataset
<p>Post-filtered files of Freesound (https://freesound.org/). The files belong to one of these categories: baby, blender, dishwasher, shaver, fan, frying, printer, vacuum cleaner, washing machine or (flowing / flushing) water.</p> <p>The post filtering consisted in verifying that the files did belong to one of these categories and to filter out parts of them that were too low.</p> <p>If you use this dataset, please cite the following work:</p> <pre>@article{furnon2021dnn, title={DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays}, author={Furnon, Nicolas and Serizel, Romain and Essid, Slim and Illina, Irina}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, volume={29}, pages={2310--2323}, year={2021}, publisher={IEEE} } </pre>
Endocrine disruption: the noise in available data adversely impact the models' performance
<p>This paper is devoted to the analysis of available experimental data and preparation of predictive models for binding affinity of molecules with respect to two nuclear receptors involved in endocrine disruption: the Estrogen (ER) and the Androgen (AR) receptor. The ED-relevant data were retrieved from multiple sources, including the CERAP, CoMPARA, and the Tox21 data challenge projects as well as ChEMBL and PubChem databases. Data analysis performed with the help of Generative Topographic Mapping technique revealed the problem of a low agreement between experimental values issued from different sources.</p> <p>Collected data were used to train both classification models for AR and ER binding activities and regression models for Relative Binding Affinity (RBA) and median Inhibition Concentration (IC50) models. These models displayed relatively poor performance in classification (sensitivities ER = 0.34, AR = 0.49) and in regression (determination coefficient R<sup>2</sup> for the RBA and IC50 models in external validation varied from 0.44 to 0.76). Our analysis demonstrates that low models performances resulted from misinterpreted experimental endpoints or wrongly reported values.</p> <p>Developed models and collected data sets included of 6215 (ER) and 3789 (AR) unique compounds; they are freely available.</p> <p>The repository includes data on estrogen and androgen receptor binding behavior (binder, non-binder), median inhibitory concentration (IC50) and relative binding affinity (RBA). </p> <p><strong>SDF fields:</strong></p> <ul> <li><em>DB</em> = database; where: COMPARA = Collaborative Modelling Project for Androgen Receptor Activity; CERAPP = Collaborative Estrogen Receptor Activity Prediction Project; Tox-DC = data from Tox21 program; PubChem = data from PubChem. </li> <li><em>Set</em> = whether the compound was used in training or test set for the given model</li> <li><em>Receptor</em> = AR stands for Androgen Receptor and ER stands for Estrogen Receptor</li> <li><em>binding_prp</em> = binding behaviour for the classification model (ER and AR). 1 = binder; = non-binder</li> <li><em>IC50 (nM) </em>and <em>logIC50</em> = median inhibitory concentration values in nanoMolar and log.</li> <li><em>RBA(%) </em>and <em>logRBA</em> = relative binding affinity values in % and log.</li> </ul>
Far-field effects of impulsive noise on coastal bottlenose dolphins
<p>Increasing levels of anthropogenic underwater noise have caused concern over their potential impacts on marine life. Offshore renewable energy developments and seismic exploration can produce impulsive noise which is especially hazardous for marine mammals because it can induce auditory damage at shorter distances and behavioural disturbance at longer distances. However, far-field effects of impulsive noise remain poorly understood, causing a high level of uncertainty when predicting the impacts of offshore energy developments on marine mammal populations. Here we used a 10-year dataset on the occurrence of coastal bottlenose dolphins over the period 2009-2019 to investigate far-field effects of impulsive noise from offshore activities undertaken in three different years. Activities included a 2D seismic survey and the pile installation at two offshore wind farms, 20-75 km from coastal waters known to be frequented by dolphins. We collected passive acoustic data in key coastal areas and used a Before-After Control-Impact design to investigate variation in dolphin detections in areas exposed to different levels of impulsive noise from these offshore activities. We compared dolphin detections at two temporal scales, comparing years and days with and without impulsive noise. Passive acoustic data confirmed that dolphins continued to use the impact area throughout each offshore activity period, but also provided evidence of short-term behavioural responses in this area. Unexpectedly, and only at the smallest temporal scale, a consistent increase in dolphin detections was observed at the impact sites during activities generating impulsive noise. We suggest that this increase in dolphin detections could be explained by changes in vocalization behaviour. Marine mammal protection policies focus on the near-field effects of impulsive noise; however, our results emphasize the importance of investigating the far-field effects of anthropogenic disturbances to better understand the impacts of human activities on marine mammal populations.</p>
Data for "Variation in Upper Plate Crustal and Lithospheric Mantle Structure in the Greater and Lesser Antilles from Ambient Noise Tomography"
<p>This is the phase velocity information and the shear wave model for the g-cubed paper:</p> <p>"Variation in Upper Plate Crustal and Lithospheric Mantle Structure in the Greater and Lesser Antilles from Ambient Noise Tomography"</p>
Noise stimuli, control particiants (ACI experiment)
<p>Noise stimuli involved in the Auditory Classification Image experiment (gaussian noise). 10.000 stimuli for each participant. wav format, 48 kHz</p>
Library of simulated root images, with different noise levels
<p>This depository contains the images and associated RSML files used in the paper entitled "Using a structural root system model to evaluate and improve the accuracy of root image analysis pipelines" from the same authors.</p> <p> </p> <p>It contains: </p> <p>- 30.000 simulated root images of 10.000 different root systems, with different noise levels (0=null, 1=medium, 3=high);</p> <p>- 10.000 corresponding RSML files;</p> <p>- .csv files containing the ground-truth data for each modelled root system (500-data.csv);</p> <p>- .csv files containing the image descriptors extracted using RIA-J (500-descriptors.csv);</p> <p> </p> <p>The codes used to generate and analyse this dataset is available here: http://doi.org/10.5281/zenodo.208499</p> <p>Note about the metrics computed from the RSML files (contained in 500-data.csv): the root systems were simulated in a constrained 2D space (rhizotron-like). Therefore, the RSML_reader plugin computed the lengths of the different roots in 2D only (despite the fact that a Z coordinate is present in the the RSML files). </p> <p> </p> <p><strong>CORRECTION</strong>: There is a scale issue in the 500-descriptors.csv file. "area" and "convexhull" columns values should be divided by 10 </p> <p> </p> <p> </p>
PsPM-SCRV7: Skin conductance responses to white noise sounds in quick succession
<p>This dataset includes skin conductance response (SCR) measurements for each of 22 healthy unmedicated participants (11 males and 11 females aged 24.7+/-4.5 years) in response to white noise stimulation (1s length; 10ms ramp; ~85dB) under 5 experimental conditions: single stimuli, double stimuli with ISI of 2.5s, 5.5s or 9s and triple stimuli with ISIs randomly determined to be 2s, 5.5s or 9s.</p>
Rising tones and rustling noises: metaphors in gestural depictions of sounds
<p>Data for the observational and the experimental study. The quality of the video has been downsized to make the sharing tractable. </p> <p>Videos are arranged by referent sound. The filenames follow this format: subject number_referentsound.mp4</p>
Rising tones and rustling noises: metaphors in gestural depictions of sounds. Data
<p>Data for the article. </p> <p>The file ObservationalData.mat contains the following variables:</p> <p>- Data is 4 x 8 x 10 x 3 x 10 matrix. Dimension 1 corresponds to the four annotators. Dimension 2 corresponds to the 8 referent sounds. Dimension 3 corresponds to the 10 imitators. Dimension 4 corresponds to the three response fields. Dimension 5 corresponds to the different possible answers. When the content of the matrix is 0, it means that the annotator has not indicated this answer for this particular sound and response field. When the content of the matrix is 1, this means that the annotator has selected this answer.</p> <p>- Annotators is the list of annotators: 'HS4' 'OH4' 'GL4' 'PS2'</p> <p>- SoundNames is the list of sound names: ‘Upward sweep' 'Downward sweep' 'Stationnary noise' 'Scraping' 'Filling' 'Door' 'Refrigerator' 'Printer'</p> <p>- Imitators are the imitator IDs: '08' '16' '20' '22' '25' '26' '28' '29' '30' '32'</p> <p>- Fields are the field names: 'Main gestural features' 'Main vocal features' 'Direction of the gestures'</p> <p>- NMax are the number of possible answers for each field: 10, 8, 7</p> <p> </p> <p> </p> <p> </p> <p>Data for the experimental study are stored in two files: GesturalDescriptor.txt and VocalDescriptor.txt</p> <p>Each file is a table, where each row is an observation: one imitator imitating one referent sound. The columns correspond to the imitators, the referent sounds, the factors (granularity, profile, and toneless), and the features.</p>
Zebra finches increase social behavior in traffic noise: implications for urban songbirds
<p>Statistical code & datasets for "Zebra finches increase social behavior in traffic noise: implications for urban songbirds" manuscript submitted to <em>Acta ethologica. </em>Also includes audio file for traffic noise playback in described experiment. </p>
Numerical simulation of the equatorial plasma bubble: the effect of seeding by the vertical winds and random background noise perturbations.
<p>A wide variety of small-amplitude waves widely exist in the ionosphere and have significant effects on the evolution of equatorial plasma bubbles. In this paper, we simulated equatorial plasma bubbles (EPB) seeded by vertical neutral wind perturbations with wavelengths of 125 km and 250 km, and compared the morphology characteristics of plasma bubble structures with those under random noise perturbations in the background density. The numerical results showed that both vertical winds and random background noise perturbations can contribute to the growth of plasma bubbles, and the perturbations under additional random background noise can promote the growth of the plasma bubble structures faster. Additionally, several processes of the nonlinear behavior of bifurcated EPB structures, including bifurcation, pinching, and small-scale turbulent structures, were successfully obtained. Our simulation captured supersonic flows within the low-density plasma structures characterized by vertical velocities of about 1.5 km/s, which is consistent with experimental studies found in the literature.</p>
Consistent traffic noise impacts few fitness-related traits in a field cricket
<p>Anthropogenic habitat change is occurring rapidly, and organisms can respond through within-generation responses that improve the match between their phenotype and the novel conditions they encounter. But, plastic responses can be adaptive or maladaptive and are most likely to be adaptive only when contemporary conditions reasonably mimic something experienced historically to which a response has already evolved. Noise pollution is a ubiquitous anthropogenic stressor that accompanies expanding urbanization. We tested whether the amplitude of traffic noise influences a suite of fitness-related traits (e.g. survival, life history, reproductive investment, immunity) and whether that depends on the life stage at which the noise is experienced (juvenile or adult). Our treatments mimic the conditions experienced by animals living in urban roadside environments with variable vehicle types, but continuous movement of traffic. We used the Pacific field cricket, an acoustically communicating insect that was previously shown to experience some negative behavioral and life history responses to very loud, variable traffic noise, as a model system. </p>
zEPHYR - Audio files of recorded and auralized wind turbine noise
<p>Audio files associated with the publication "Wind farm noise prediction and auralization", Andrea P. C. Bresciani, Julien Maillard, Arthur Finez, submitted to Acta Acustica in Dec. 2023.</p> <p>Audio 1: Auralized noise for OC1 and SB1<br>Audio 2: Auralized noise for OC1 and SB2<br>Audio 3: Auralized noise for OC1 and SB3<br>Audio 4: Auralized noise for OC2 and SB1<br>Audio 5: Auralized noise for OC2 and SB2<br>Audio 6: Auralized noise for OC2 and SB3<br>Audio 7: Recorded noise for OC1 and SB1<br>Audio 8: Recorded noise for OC1 and SB2<br>Audio 9: Recorded noise for OC1 and SB3<br>Audio 10: Recorded noise for OC2 and SB1<br>Audio 11: Recorded noise for OC2 and SB2<br>Audio 12: Recorded noise for OC2 and SB3<br>Audio 13: Auralized noise for OC2 and SB2 without amplitude fluctuations</p>
Repository: Rayleigh-wave attenuation and phase velocity maps of the greater Alpine region from ambient noise
<p><br>Repository organized by Henrique Berger Roisenberg for the paper Roisenberg et al. (2024). The files are organized as follows:</p> <p><strong>Folders:</strong></p> <p><strong>-dispersion_curves:</strong><br>inside this folder there is a .zip file that contains all the dispersion curves calculated;</p> <p><strong>-attenuation:</strong><br>comprising three files with the results of attenuation calculations, i.e., the attenuation values, the grid, and the periods;</p> <p><strong>-c:</strong><br>comprising three files with the results of phase velocity calculations, i.e., the phase velocity values, the grid, and the periods;</p> <p><strong>-scripts: </strong><br>contains two python scripts, one called 'figures' to plot the figure 1, 4, and 6 of the paper, and another called 'alparray_computations' to perform the computations with the original alparray data, using seislib, resulting on the figures 2, 3, and 5 of the paper.</p> <p>Inside the folder '<strong>inputs</strong>' there are three folders that serve as input for the figures of the paper, to be used in the scripts. These are:</p> <p><strong>-raster: </strong><br>contains the topography raster used to plot the map of the study area;</p> <p><strong>-shapefiles:</strong><br>contains the shapefiles used in the regionalization analysis;</p> <p><strong>-station locations: </strong><br>contains the latitudes and longitudes of the stations used in this study.</p> <p> </p>
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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.