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Dataset results
59 results for “frequency sensitivity”
Free-field sensitivity of four electro-acoustic measuring chains at 0° incidence angle in the frequency range 0.25 kHz to 100 kHz
<p>This dataset contains calibration data of the free-field sensitivity of four electro-acoustic measuring chains at 0° incidence angle in the frequency range 0.25 kHz to 100 kHz. Each of the four channels consisted of a ¼'' externally polarized free-field measurement microphone of the condenser type GRAS 40 BF, a ¼'' preamplifier GRAS 26AC, a power module GRAS 12AQ and an FFT analyzer Ono Sokki CF-9400. The calibration data was acquired in the laboratory of the Physikalisch-Technische Bundesanstalt (PTB).</p>
Radio-frequency C-V measurements with subattofarad sensitivity: data and analysis script
<p>The attached files include:</p> <ul> <li>QCoDeS database containing all of the raw data underlying the results presented in the publication "Radio-frequency CV measurements with subattofarad sensitivity" by F.K. Malinowski at al. published in Physical Review Applied in 2022</li> <li>Jupyter Notebook file with Python scripts, that processes the raw data and outputs the figures embedded in the publication (except for the schematics of the devices and the rf circuitry).</li> </ul>
Dataset for "Biodegradable materials as sensitive coatings for humidity sensing in S-band microwave frequencies"
<p>This dataset contains the data collected during the SNSF BRIDGE GREENsPACK project (Grant no. 40B2-0_187223) in association with the recent publication entitled “Biodegradable materials as sensitive coatings for humidity sensing in S-band microwave frequencies”.</p> <p>This work aims to study the humidity response of eco-friendly materials in the S-band (2-4GHz) using a microstrip line resonating at 3.3GHz. Several sensors coated with different biodegradable materials were tested and simulations have been performed. The S12 signal of the resonator was measured when varying the humidity. The data that was collected in the frame of this work is present in this repository.</p> <p>More information about the content of the dataset is present in the included README file.</p>
Sensitive dependence of ultrarelativistic electron precipitation on EMIC wave frequency
<p>This is the data set used to create the figures in the paper by Lee (2021) in Journal of Geophysical Research as obtained from numerical calculations of equations of motion for ultrarelativistic electrons under electromagnetic ion cyclotron waves in the Earth's inner magnetosphere. </p>
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
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The more the merrier - Multi-frequency magnetic susceptibility of loess and palaeosols as a sensitive climate proxy
<p>This data set (updated 2025) contains: </p> <p><strong>A) Data</strong></p> <p>1) Summary files of the central data sets as Microsoft Excel worksheets</p> <ul> <li>Multi-frequency DynoMag data for section Khonako-II (<em>KH-II_chiBFD.xlsx)</em></li> <li>Dual-frequency Kappabridge data for section Khonako-II (<em>KH-II_full_profile_Kappa.xlsx</em>)</li> </ul> <p>2) Temperature-dependent magnetic susceptibility data in folder<em> k(T).zip</em></p> <p>3) Remanence measurement data in folder<em> remanence.zip</em></p> <p>4) Temperature-dependent magnetic susceptibility data measured at three frequencies using a Quantum Design Magnetic Properties Measurement System (<em>SQUID.zip</em>)</p> <p>5) Multi-frequncy magnetic susceptibilty data for different sites (<em>MFMS_data.zip</em>)</p> <p>6) Raw data files of dual-frequency DynoMag data for section Khonako-II (<em>KH-II_section.zip)</em></p> <p><strong>B) R code files</strong></p> <p>1) R code to correct hysteresis loops from MPMS data for paramagentic contributions and to extract values of coercivity and exchange bias (<em>magnetic_hysteresis_suppl_mat.R</em>). The data files used in this code are stored in folder <em>mass-corrected_MPMS.zip.</em></p> <p>2) R code to calculate magnetic particle size distributions from multi-frequency magnetic susceptibility data measured on the Dynomag instument and temperature-dependent magnetic susceptibility data measured at three frequencies using a Quantum Design Magnetic Properties Measurement System (<em>particle_size_calculation.R</em>). The data files used in this code are stored in folder <em>particle_size_distribution.zip</em>.</p>
Mode characterization and sensitivity evaluation of an ultra-high-frequency surface acoustic wave (UHF-SAW) resonator biosensor: application to the glial-fibrillary-acidic-protein (GFAP) biomarker detection
<p>Biosensors detect specific bio-analytes by generating a measurable signal from the interaction between the sensing element and the target molecule. Surface acoustic wave (SAW) biosensors offer unique advantages due to their high sensitivity, real-time response capability, and label-free detection. The typical SAW modes are the Rayleigh mode and the shear-horizontal mode. Both present pros and cons for biosensing applications and generally need different substrates and device geometries to be efficiently generated. This study investigates and characterizes ultra-high-frequency (UHF-) SAW resonator biosensors. It reveals the simultaneous presence of the two typical SAW modes, clearly separated in frequency, called slow and fast. The two modes are studied by numerical simulations and biosensing experiments with the glial-fibrillary-acidic-protein (GFAP) biomarker. The slow mode is generally more sensitive to changes in surface properties, such as temperature and mass changes, by a factor of about 1.4 with respect to the fast mode.</p>
Low-frequency hearing thresholds improve as high-frequency hearing sensitivity deteriorates between young adulthood and middle age in normally hearing people
<p>Hearing sensitivity changes throughout a person's lifetime. This work aimed to describe changes in pure-tone audiometric (PTA) thresholds that occur in the transition from young adulthood to middle age in 121 adults with normal or nearly normal hearing. Results showed that older people had worse high-frequency (4000-8000 Hz) thresholds but unexpectedly better low-frequency (125-500 Hz) thresholds than younger individuals, suggesting that hearing sensitivity in the low-frequency range may improve with age. The improvement of low-frequency thresholds may be part of a central compensation for age-related deterioration of high-frequency hearing sensitivity. Further studies of age-related changes in low-frequency hearing sensitivity are needed to confirm our findings.</p>
Data for: Projecting changes in the frequency and magnitude of ozone pollution events under uncertain climate sensitivity
<p>Climate change is projected to worsen ozone pollution over many populated regions, with larger impacts at higher concentrations. More intense and frequent ozone episodes risk setbacks to human health and environmental policy achievements. However, assessing these changes is complicated by uncertain climate sensitivity, closely related to climate model response, and internal variability in simulations projecting climate's influence on air quality. Here, leveraging a global modeling framework that one-way couples a human activity model, an Earth system model of intermediate complexity, and an atmospheric chemistry model, we investigate the role of climate sensitivity in climate-induced changes to high ozone pollution episodes in the United States using multiple greenhouse gas emissions scenarios, representations of climate sensitivity, and initial condition members. We bias correct and evaluate historical model simulations, identifying modeled and observed O<sub>3</sub> episodes using extreme value theory, and extend the approach to projections of mid- and end-century climate impacts. Results show that the influence of climate sensitivity can be as significant as that of greenhouse gas emissions scenario absent precursor emissions changes. Climate change is projected to increase the magnitude of the highest annually occurring O<sub>3</sub> concentrations by over 2.3 ppb on average across the U.S. at mid-century under a high climate sensitivity and moderate emissions scenario, but the increase is limited to less than 0.3 ppb under lower climate sensitivity. Further, we show that areas in the U.S. currently meeting air quality standards risk being pushed into non-compliance due to a climate-induced increase in frequency of high ozone days.</p>
Investigation of Central Sensitization Frequency and Related Factors in Axial Spondyloarthritis Patients
ClinicalTrials.gov study NCT04485078. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
The Frequency of Central Sensitization in Patients With Chronic Musculoskeletal Pain
ClinicalTrials.gov study NCT04765280. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Low-frequency hearing thresholds improve as high-frequency hearing sensitivity deteriorates between young adulthood and middle age in normally hearing people
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Data for: Projecting changes in the frequency and magnitude of ozone pollution events under uncertain climate sensitivity
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Data from: Extremely high frequency sensitivity in a 'simple' ear
An evolutionary war is being played out between the bat, which uses ultrasonic calls to locate insect prey, and the moth, which uses microscale ears to listen for the approaching bat. While the highest known frequency of bat echolocation calls is 212 kHz, the upper limit of moth hearing is considered much lower. Here, we show that the greater wax moth, Galleria mellonella, is capable of hearing ultrasonic frequencies approaching 300 kHz; the highest frequency sensitivity of any animal. With auditory frequency sensitivity that is unprecedented in the animal kingdom, the greater wax moth is ready and armed for any echolocation call adaptations made by the bat in the on-going bat-moth evolutionary war.
Data from: Discrepancies in the spiking threshold and frequency sensitivity in nocturnal moths explainable by biases in the 3222 auditory stimulation method45
The auditory stimulation method used in experiments on moth A cell(s) is generally believed to be adequate to characterize the encoding of bat echolocation signals. The stimulation method hosts, though, several biases. Their compounded effects can explain a range of discrepancies between the reported electrophysiological recordings and significantly alter the current interpretation. To test the hypothesis that the bias may significantly alter our current understanding of the moth's auditory transducer characteristics, papers using the same auditory stimulation method and reporting on either spiking threshold or spiking activity of the moth's A cells were analysed. The consistency of the reported data was assessed. A range of corrections issued from best practices and theoretical background were applied to the data in an attempt to re-interpret the data. We found that it is not possible to apply a posteriori corrections to all data and bias. However the corrected data indicates that the A cell's spiking may be (i) independent of the repetition rate, (ii) maximum when detecting long and low intensity pulses, and (iii) steadily reduce as the bat closes on the moth. These observations raise the possibility that a fixed action pattern drives the moths' erratic evasive manoeuvres until the final moment. In depth investigation of the potential bias also suggest that the auditory transducer's response may be constant for a larger frequency range than thought so far, and provide clues to explain the negative taxis in response to the searching bats' calls detection.
Data from: Frequency tuning and directional sensitivity of tympanal vibrations in the field cricket Gryllus bimaculatus
Female field crickets use phonotaxis to locate males by their calling song. Male song production and female behavioural sensitivity form a pair of matched frequency filters, which in Gryllus bimaculatus are tuned to a frequency of about 4.7 kHz. Directional sensitivity is supported by an elaborate system of acoustic tracheae, which make the ears function as pressure difference receivers. As a result, phase differences between left and right sound inputs are transformed into vibration amplitude differences. Here we critically tested the hypothesis that acoustic properties of internal transmissions play a major role in tuning directional sensitivity to the calling song frequency, by measuring tympanal vibrations as a function of sound direction and frequency. Rather than sharp frequency tuning of directional sensitivity corresponding to the calling song, we found broad frequency tuning, with optima shifted to higher frequencies. These findings agree with predictions from a vector summation model for combining external and internal sounds. We show that the model provides robust directional sensitivity that is, however, broadly tuned with an optimum well above the calling song frequency. We therefore advocate that additional filtering, e.g. at a higher (neuronal) level, significantly contributes to frequency tuning of directional sensitivity.
Data from: Song structure, not high-frequency song content, determines high-frequency auditory sensitivity in nine species of New World sparrows (Passeriformes: Emberizidae)
1. The evolution of vocal signals can be constrained by a host of factors including habitat effects on sound propagation, morphology of sound-producing structures, and phylogenetic relationships among species. Here, we asked whether auditory sensitivity over a broad range of frequencies correlates with the spectral content of conspecific vocalizations, or whether it is constrained by the overall structure of vocalizations, habitat effects on sound propagation, or relatedness among species. 2. We studied nine New World sparrows (Passeriformes: Emberizidae) including three open-habitat species, three scrub-like habitat species, and three forest species. For each habitat, one species had pure trilled songs, another had tonal songs, and another had complex songs with tones, trills, and amplitude-modulated buzzes. 3. As predicted by the acoustic adaptation hypothesis, song spectral properties (specifically frequency and entropy) had the highest values in open-habitat species and the lowest values in forest species. 4. Based on our results from song analyses, and the sender-receiver matching hypothesis, we predicted that open-habitat species would be more sensitive to high-frequency sounds compared to forest species. Contrary to this prediction, habitat and high-frequency song content had little effect on audiogram shape. Song type, however, had a strong effect, with species that produce complex songs showing higher sensitivity to high-frequency sounds than all other species. 5. Our results suggest that the use of song frequency by receivers depends on song structure and not necessarily on song spectral content. Therefore, our current understanding of how signal-processing mechanisms should match signal properties appears to be too simple. When thinking about the evolution of signal-processing mechanisms, the multidimensionality of signals, and how the different dimensions can interact, should be considered.
Data from: Song structure, not high-frequency song content, determines high-frequency auditory sensitivity in nine species of New World sparrows (Passeriformes: Emberizidae)
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Data from: Extremely high frequency sensitivity in a ‘simple’ ear
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Data from: Discrepancies in the spiking threshold and frequency sensitivity in nocturnal moths explainable by biases in the 3222 auditory stimulation method45
Open the record for dataset details and reuse information.
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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.