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952 results for “Noise”
Synthesis of National projects on Aviation noise gathered by ANIMA National Focal Points
<p>This bundle gathers synthetic informations on more than hundred projects led at national level in EU countries and their neighbourhood (Switzeland, Ukraine, Serbia...) on aviation noise. This projects are partaking to the EU efforts to update the European Research Roadmap on such aviation noise issues.</p> <p>The bundle has been used for elaboration deliverable ANIMA D6.10 - National Focal Points projects</p>
Noise production by a Savonius type wind turbine- a comparison between single and five segment rotor.
<p>The following data set contains acoustic evaluation results from experimental studies performed on Savonius wind turbine. </p> <p>Noise from a typical single segment Savonius wind turbine has been compared to that of its five segment counterpart. This comparison is mainly conducted for three case:</p> <p> </p> <p>1. when rotor is loaded (giving us max coefficient of performance)</p> <p>2. when the rotor is not loaded (free rotation)</p> <p>3. when the rotor is stopped. </p> <p> </p> <p>Power characteristics of the two rotors have also been plotted, allowing to establish a comparison between noise and power produced.</p> <p> </p> <p> </p> <p> </p>
zEPHYR - Noise and performance correlation of a Savonius type vertical axis wind turbine.
The presented data set consists of noise measurement and performance characteristics obtained as a part of the experimental campaign in the Open Jet Facility (OJF) at Delft University of Technology. The observations have been recorded for a typical Savonius vertical axis wind turbine. Refer to the file "setup" for further experimental campaign details.
Adjoint tomography data for LASSIE array by ambient noise differential adjoint tomography
<p>The LASSIE array shear-wave velocity model from ambient noise differential adjoint tomography. </p><p>If you use this dataset, please cite the article published online: </p><p>Liu, X., Beroza, G.C. & Li, H. Ambient noise differential adjoint tomography reveals fluid-bearing rocks near active faults in Los Angeles. <i>Nat Commun</i> <strong>14</strong>, 6873 (2023). <a href="https://doi.org/10.1038/s41467-023-42536-4">https://doi.org/10.1038/s41467-023-42536-4</a> </p><p>Here are the explanations for each of the five columns of the CSV file:<br>- lat: Latitude is a geographic coordinate <br>- lon: Longitude is a geographic coordinate <br>- depth: Depth from surface of the earth<br>- Vs_init: the initial shear wave velocity from ray theory and layered-cake inversion below each surface location<br>- Vs_adj: the adjoint shear wave velocity tomography result from ambient noise differential adjoint tomography</p><p> </p>
Data and program codes to reproduce the results presented in "Crustal structure beneath Central Kamchatka inferred from ambient noise tomography"
<p>This archive contains the SURF_TOMO code for the surface-wave tomography (<em>Koulakov et al., 2016</em>) and all the necessary files and instructions for reproducing the results presented in the paper “Crustal structure beneath Central Kamchatka inferred from ambient noise tomography” by Igor Egorushkin, Ivan Koulakov, Andrey Jakovlev, Hsin-Hua Huang, Eugeny I. Gordeev, Ilyas Abkadyrov, and Danila Chebrov.</p>
Figure 4 in Natural noise affects conspecific signal detection and territorial defense behaviors in songbirds
Figure 4 Spotted towhee predictors from the AICc top model for PC1approach (a), PC2fly (b), and PC3song (c). (a) Towhees approach more slowly and maintain a greater distance from the speaker as sound level increases. Shading represents 95% CI and rug plot denotes sound level of individual trials. California spotted towhees fly more frequently on control trials (b) and display a weaker song response during treatment-off trials (c) than on all other trials, within and among populations (see [a] for color legend). (b–c) Violins denote kernel density probabilities differentiated by trial type (x axis) and population (color), with means (±1 SE) connected by dotted line; boxplots denote median and quartiles, and whiskers show 1.5 times the interquartile range; points represent individual trials; and asterisks denote significant contrasts corresponding to 95% CIs (see Supplementary Appendix Table A3 for values). Data displayed as untransformed components.
Figure 2 in Natural noise affects conspecific signal detection and territorial defense behaviors in songbirds
Figure 2 Site design schematic of Idaho and California study areas. Tripods represent loudspeaker setups. aAny trial with chorusing cicadas was counted as cicada treatment, regardless of the trial type (treatment-on, treatment-off, control). bControl sites had the same layout as treatment sites, but with mock loudspeaker setups. cWe excluded cicada trials from analysis for spotted towhees due to low sample size.
Figure 3 in Natural noise affects conspecific signal detection and territorial defense behaviors in songbirds
Figure 3 Lazuli bunting predictors from the AICc top model for PC1fly (a) and PC3approach (b) response variables. (a) Buntings fly more as sound level increases in the presence of cicada noise (dashed line) and fly less as sound level increases in the absence of cicada noise (solid line). Rug plot indicates sound level for individual trials differentiated by presence/absence of cicadas (see [b] for color legend). (b) As sound level increases, buntings approach the conspecific speaker more slowly and maintain a greater distance from it. (a & b) Shaded bands denote 95% CIs. Data displayed as untransformed components.
Figure 1 in Natural noise affects conspecific signal detection and territorial defense behaviors in songbirds
Figure 1 Spectrograms (a) of spotted towhee song (left) and lazuli bunting song (right) in quiet control conditions. (b) Power spectra of the three treatments are overlayed with bunting and towhee song power spectra. Power spectra are normalized to a relative peak amplitude of 70 dB (re 1 dimensionless sample units). Treatment noise and song spectra overlap substantially, suggesting high masking potential.
Inequalities in noise will affect urban wildlife
<p>Understanding the extent to which systemic biases influence local ecological communities is essential for developing just and equitable environmental practices. With over 270 million people across the United States living in urban areas, understanding the socio-ecological consequences of racially-targeted zoning, such as redlining, provides crucial information for urban planning. There is a growing body of literature documenting the relationships between redlining and disparities in the distribution of environmental harms and goods, including inequities in green space cover and pollutant exposure. Yet, it remains unknown whether noise pollution is also inequitably distributed, and whether inequitable noise is an important driver of ecological change in urban environments. We conducted 1) a spatial analysis of urban noise to determine the extent to which noise overlaps with the distribution of redlining categories and 2) a systematic literature review to summarize the effects of noise on wildlife in urban landscapes. We found strong evidence that noise is inequitably distributed in cities across the United States, and that inequitable noise may drive complex biological responses across diverse urban wildlife. These findings lay a foundation for future research that advances acoustic and urban ecology by centering equity and challenging systems of oppression.</p>
A self-referenced optical phase noise analyzer for quantum technologies
<p>Raw data used to create plots accompanying the publication. Includes time traces from mixed-domain oscilloscope for COSH analysis as well as pre-processed data directly from commercial phase noise analyzer. Includes README.txt for notes on format and processing.</p>
Pre- and postnatal noise directly impairs avian development, with fitness consequences
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Anthropogenic noise and light alter temporal but not spatial breeding behavior in a wild frog
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Far-field effects of impulsive noise on coastal bottlenose dolphins
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Consistent traffic noise impacts few fitness-related traits in a field cricket
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Data for: Timescales of Autogenic Noise in River Bedform Evolution and Stratigraphy
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Deep-time convergent evolution in animal communication presented by shared adaptations for coping with noise in lizards and other animals
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Data from: Maps made with smartphones highlight lower noise pollution during COVID-19 pandemic lockdown at four locations in Boston
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Echolocation call parameters of Daubenton's bats during exposure to masking noise
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Growing up with chronic traffic noise exposure leads to transient but not long-term noise tolerance in a songbird
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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)
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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.