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4 results for “frequency amplifications”
Data from: Stay tuned: active amplification tunes tree-cricket ears to track temperature-dependent song frequency
Tree cricket males produce tonal songs, used for mate attraction and male–male interactions. Active mechanics tunes hearing to conspecific song frequency. However, tree cricket song frequency increases with temperature, presenting a problem for tuned listeners. We show that the actively amplified frequency increases with temperature, thus shifting mechanical and neuronal auditory tuning to maintain a match with conspecific song frequency. Active auditory processes are known from several taxa, but their adaptive function has rarely been demonstrated. We show that tree crickets harness active processes to ensure that auditory tuning remains matched to conspecific song frequency, despite changing environmental conditions and signal characteristics. Adaptive tuning allows tree crickets to selectively detect potential mates or rivals over large distances and is likely to bestow a strong selective advantage by reducing mate-finding effort and facilitating intermale interactions.
Data from: Stay tuned: active amplification tunes tree-cricket ears to track temperature-dependent song frequency
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Degree of Benefit From Low-Frequency Acoustic Amplification Using the Advanced Bionics Acoustic Earhook
ClinicalTrials.gov study NCT04041596. IPD Sharing: NO. Countries: 1. Publications: 0.
Data set from "Combining fiber Brillouin amplification with a repeater laser station for fiber-based optical frequency dissemination over 1400 km"
<p>The data set contains the data underlying the fiber link performance evaluation published in Koke et al 2019 New J. Phys. 21 123017 (https://doi.org/10.1088/1367-2630/ab5d95). The experimental setup and the methodology used is explained in this publication.</p> <p>The data is stored in the Matlab(R)-native file format. Although proprietary, import of data from this file format is supported by other numerical computing environments, too. An example script for importing into Python is included.</p> <p>The files 'data_export_campaign_*.mat' contain the timeseries data shown in Figures 2, 3 and 4. Each of these files include variables with the following meaning:<br> 'date_year', 'date_month', 'date_day', 'time_hour', 'time_minute', 'time_second': Timestamp of the data sample in UTC time<br> 'inloop1' and 'inloop2': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the beat signal used for stabilizing the uplink<br> 'aom': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the uplink servo acoustic-optical modulator's drive frequency<br> 'remote1' and 'remote2': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the roundtrip beat signal used for out-of-loop characterization of the frequency transfer error<br> 'no_of_run_in_NJP_21_123017': A flag indicating the measurement runs discussed in the paper. Samples with the same non-zero integer values belong to the same measurement run. Samples marked with 0 did not enter the publication.<br> 'DataCollected_FBAPTBLocked_CavityLocked': Result of our current monitoring of the fulfillment of the prerequisites for fiber link performance evaluation; values of 1/True indicate that data logging was active, the transfer laser was locked to the signal of the ultra-stable cavity, and the lock of the FBA(PTB) pump laser was active.</p> <p>The file 'data_export_uplink_downlink_aom.mat' contains the data underlying the fiber phase noise correlation analysis in Fig. 5.<br> 'aom_uplink': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the uplink servo acoustic-optical modulator's drive frequency<br> 'aom_downlink': $\Lambda_{1s}$ frequency offset from nominal value in Hz of the downlink servo acoustic-optical modulator's drive frequency</p> <p>Since publication of the paper, we discovered a slight inconsistency of the nominal frequencies used in our analysis. Hence, remote fractional frequency offsets published in Koke et al 2019 New J. Phys. 21 123017 have to be corrected by subtracting fractional frequency values of 4.2E-22 (campaigns 2015-06, 2016-03, 2018-03) and 3.3E-22 (campaign 2018-12). This inconsistency does not change the conclusions drawn in the paper as these corrections are well below the associated statistical uncertainties. The correct nominal frequency values have been employed for the uploaded data set.</p>
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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.