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29 results for “Bandwidth”
Variable Optical True Time Delay Line Breaking Bandwidth-Delay Constraints - Dataset
<p>Dataset for the Letter "Variable Optical True Time Delay Line Breaking Bandwidth-Delay Constraints", in Optics Letters</p>
WP4_SIM_linewidth&bandwidth_V1
<p>WP4_SIM_LO-linewidth&frequencyDeviation_V1.docx</p> <p>WP4_SIM_photodiodeBandwidth_V1.xlsx</p> <p>Simulations results evaluating the performance of a coherent detector as a function of local oscillator (LO) frequency drifts and non-negligible LO linewidths, with different PD electrical bandwidths.</p> <p>The received signal is obtained by direct modulation with DMT of a SC-long wavelength VCSEL.</p>
Bandwidth and Service Placement data from the CityLab testbed
<p>A dataset that contains bandwidth data from the nodes of Fed4Fire+ CityLab testbed in Antwerp, Belgium. </p>
UAV exposed to Ultra Bandwidth Noise Recorded using HEIST
<p>Noise was recorded on an SBUS communication link on a UAV while exposed to UWB noise. HEIST is recording the data using an FPGA.</p> <p> </p> <p>https://github.com/MaSkr09/heist_datalog.git</p>
Dataset: Bandwidth Inc. (BAND) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Examining the Effects of Resolution Bandwidth when Measuring Compound Radar Waveforms Data
<p>Data used by NTIA/ITS TR-23-566 Examining the Effects of Resolution Bandwidth when Measuring Compound Radar Waveforms.</p>
COLOURATION IN 2.5D LOCAL WAVE FIELD SYNTHESIS USING SPATIAL BANDWIDTH-LIMITATION -- Data
<p>This data set contains stimuli and results from an experiment for human perception of colouration in Stereophonics, Wave Field Synthesis, Near-Field-Compensated Higher-Order Ambisonics and Local Wave Field Synthesis simulated via binaural synthesis using head related impulse responses (HRIRs). The corresponding binaural room scanning (BRS) files for the binaural simulation can be found in the directory `brs`. The employed stimuli is contained in `stimuli`. The Multiple Stimulus with Hidden Reference and Anchor (MUSHRA) ratings are stored in `results` together with a text file to describe the content in more detail. The `analysis` directory includes scripts for the statistical evaluation in the publication. The source code is licensed under GPL v3.</p> <p>Abstract of the Publication:</p> <p>Sound Field Synthesis techniques, such as Wave Field Synthesis aim at a physically accurate reproduction of a desired sound field inside an extended listening area. This area is surrounded by loudspeakers individually driven by their respective driving signals. Due to practical limitations, artefacts impair the synthesis accuracy resulting in a perceivable change in timbre compared to the desired sound field. Recently, an approach for so-called Local Wave Field Synthesis was published which enhances the reproduction accuracy in a limited region by applying a spatial bandwidth limitation in the circular/spherical harmonics domain to the desired sound field. This paper reports on a listening experiment comparing conventional Sound Field Synthesis techniques with the mentioned approach. Also the influence of the different parametrisations for Local Wave Field Synthesis is investigated. The results show that the enhanced reproduction accuracy in Local Wave Field Synthesis leads to an improvement with regard to the perceived colouration.</p>
Supplementary material S21: Averaged jolting pulses on petri-dish that exhibit lower frequency bandwidths.
<p>The average spectrogram of the ten <em>Varroa</em> jolting pulses registered on the petri-dish that exhibit a mid-frequency bandwidth. The amplitude of acceleration is in logarithmic (to the base 10) where the average highest magnitude is dark red (2.5x10<sup>-2</sup> m/s<sup>2</sup>) and the lowest magnitude is dark blue (forced to be 1/30 of the maximum). The maximum is here forced to be that found in the averaged mite pulse, as this figure is simply to demonstrate the presence of the lower frequency bandwidth. Therefore, the absolute values of the colour-coding are not relevant in this case.</p>
Data and data analysis codes for Palacios et al. "Single-domain Bose condensate magnetometer achieves energy resolution per bandwidth below ℏ"
<p>Data and data analysis codes for the article "Single-domain Bose condensate magnetometer achieves energy resolution per bandwidth below ℏ" by S. Palacios, et al. https://arxiv.org/abs/2108.11716</p>
Cryogenic electron ptychographic single particle analysis with wide bandwidth information transfer
<p>Advances in cryogenic transmission electron microscopy have revolutionised the determination of many macromolecular structures at atomic or nearatomic resolution. This method is based on conventional defocused phase contrast imaging. However, it has limitations of weaker contrast for small biological molecules embedded in vitreous ice, in comparison with cryo-ptychography, which shows increased contrast. Here we report a single-particle analysis based on the use of ptychographic reconstruction data, demonstrating that three dimensional reconstructions with a wide information transfer bandwidth can be recovered by Fourier domain synthesis. Our work suggests future applications in otherwise challenging single particle analyses, including small macromolecules and heterogeneous or flexible particles. In addition structure determination in situ within cells without the requirement for protein purification and expression may be possible.</p>
Wide-Bandwidth Open Canal Hearing Aid For Better Multitalker Speech Understanding
ClinicalTrials.gov study NCT00582946. IPD Sharing: NO. Countries: 1. Publications: 1.
Towards human-resolution haptics: A high bandwidth, high density, wearable tactile display
Open the record for dataset details and reuse information.
Enhancement of microwave absorption bandwidth of MXene nanocomposites through macroscopic design
<p><span>MXene, the new family of 2D materials having numerous nanoscale layers, is being considered as a novel microwave absorption material. However, MXene/functionalized MXene loaded polymer nanocomposites exhibit narrow reflection loss (RL) bandwidth (RL ≤ -10 dB). In order to enhance the microwave absorption bandwidth of <span>MXene hybrid-matrix materials</span>, for the first time, macroscopic design approach is carried out for TiO<sub>2</sub>-Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene and Fe<sub>3</sub>O<sub>4</sub>@TiO<sub>2</sub>-Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> MXene hybrids through simulation. The simulated results indicate that use of pyramidal meta structure of MXene can significantly tune the RL bandwidth. For optimized <span>MXene hybrid-matrix materials</span> pyramid pattern, the bandwidth enhances to 3-18 GHz. Experimental RL value well matched with the simulated RL. On the other hand, for optimized Fe<sub>3</sub>O<sub>4</sub>@TiO<sub>2</sub>-Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> hybrid exhibits two specific absorption bandwidths viz. 3-18 GHz (minimum RL value - 47 dB). Compared to other 2D nanocomposites such as graphene or Fe<sub>3</sub>O<sub>4</sub>-graphene, <span>MXene hybrid-matrix materials</span> shows better microwave absorption bandwidth in macroscopic pattern. </span></p>
Post-layout simulation results of a 0.13 µm SiGe Limiting Amplifier with 14.6 THz Gain-Bandwidth-Product
<p>This data set contains post-layout simulation results of a SiGe limiting amplifier. The circuit is presented in the paper "Design of a 0.13 µm SiGe Limiting Amplifier with 14.6 THz Gain-Bandwidth-Product" in the open-access journal "Advances in Radio Science" .</p>
Bandwidth Investigation of Spread Spectrum Singals
Open the record for dataset details and reuse information.
Data and code from "Full bandwidth electrophysiology of seizures and epileptiform activity enabled by flexible graphene micro-transistor depth neural probes"
<p>Data and python code for reproducing the main results of the paper "Full bandwidth electrophysiology of seizures and epileptiform activity enabled by flexible graphene micro-transistor depth neural probes."</p>
James Webb Space Telescope S-band recording with Allen Telescope Array (320 kHz bandwidth)
<p>This dataset contains a recording of the S-band telemetry downlink of James Webb Space Telescope. The recording was done on 2021-12-26, roughly one day after launch, using Allen Telescope Array antenna 2e in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2e was connected to RFCB LO d, which was tuned to a frequency of 2270.5 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. After recording, the data was decimated to 320 ksps and converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. By using 320 ksps, residual carrier and 80 kbaud PCM/PM/NRZ telemetry modulation are still present in decimated recording. However, the sequential ranging tones are outside of the decimated recording passband. An excerpt of the full 3.84 Msps recording, which contains the sequential ranging tones, is published as the dataset "<a href="https://zenodo.org/record/5812277#.YdHytoqCGCg">James Webb Space Telescope S-band recording with Allen Telescope Array (wideband excerpt)</a>". Detached metadata files, with .hdr extension, contain the metadata for the original 3.84 Msps recording.</p>
GATEMAN project -- Wide-bandwidth, high-precision GNSS and jammer raw data
<p>This dataset contains high quality GNSS and jammer raw data generated during the in-lab validation activities of jamming detection and localization performed in the frame of the GATEMAN project. These files are grouped for each type of validation scenario defined. The scenarios are combinations of three different GNSS and three different jamming signals.</p> <p><strong>Content:</strong></p> <p>The archive contains a folder for each validation scenario. Each folder contains two files. One contains the GNSS data and the second file contains jamming data. A function to read the data with GNU Octave/Matlab is also included.</p> <p>├── GALE1+AMtone<br> │ ├── AMtone@20MSps.bin<br> │ └── GALE1@20MSps.bin<br> ├── GALE1+Chirp10MHz<br> │ ├── Chirp10MHz@20MSps.bin<br> │ └── GALE1@20MSps.bin<br> ├── GALE1+Chirp20MHz<br> │ ├── Chirp20MHz@20MSps.bin<br> │ └── GALE1@20MSps.bin<br> ├── GPSL1+AMtone<br> │ ├── AMtone@20MSps.bin<br> │ └── GPSL1@20MSps.bin<br> ├── GPSL1+Chirp10MHz<br> │ ├── Chirp10MHz@20MSps.bin<br> │ └── GPSL1@20MSps.bin<br> ├── GPSL1+Chirp20MHz<br> │ ├── Chirp20MHz@20MSps.bin<br> │ └── GPSL1@20MSps.bin<br> ├── GPSL5+AMtone<br> │ ├── AMtone@20MSps.bin<br> │ └── GPSL5@20MSps.bin<br> ├── GPSL5+Chirp10MHz<br> │ ├── Chirp10MHz@20MSps.bin<br> │ └── GPSL5@20MSps.bin<br> ├── GPSL5+Chirp20MHz<br> │ ├── Chirp20MHz@20MSps.bin<br> │ └── GPSL5@20MSps.bin<br> └── readBinData.m</p> <p> </p> <p><strong>Data format:</strong></p> <p>Each file stores the received baseband samples as an array of complex, 16-bit signed integer data (range -32,768 to 32,767) of the corresponding signal. The data is stored in Big-endian, network order format, i.e. the most-significant byte occupies the lowest memory address. The real and imaginary components of the data correspond to the in-phase (I) and quadrature-phase (Q) data, respectively. I and Q-samples are interleaved [I, Q, I, Q, ...] in the array.</p> <p> </p> <p><strong>Data:</strong></p> <p>The recorded data of each validation scenario consists of two files, one containing the GNSS signal (L1, L5 or E1 band), the other one containing the jamming signal (tone, chirp 10 & 20 MHz bandwidth). The RF GNSS signal was generated with a GNSS signal generator, it contains only a single spreading sequence. The RF jamming signal was generated with a Vector Signal Transceiver. Both signals of a scenario were recorded synchronously with an USRP at an I\Q rate of 20 MS/s.</p> <p>GNSS signals:</p> <ul> <li>Startime: 30.05.2018 at 12:00 (approximately)</li> <li>Latitude: N 50 deg, 50.4864 min</li> <li>Longitude: E 4 deg, 21.3499 min</li> <li>Altitude: 50m</li> <li>Trajectory: Static</li> <li>Ephemeris file: brdc1500.18.n</li> </ul> <p><br> GNSS band PRN Elevation (deg) Azimuth (deg) Power (dBm)<br> GPS L1 4 85 187 -70<br> GPS L5 4 85 193 -70<br> Galileo E1 E14 66 274 -68.5</p> <p>Jamming signals:</p> <ul> <li>The tone is simple a sinosoidal waveform in the centre of the GNSS bands.</li> <li>The chirps are linear frequency modulated waveforms (sawtooth) in the centre of the GNSS bands with sweep range of 10 MHz and 20 MHz and sweep period of 8.64 µs.</li> </ul> <p> </p> <p> </p> <p>The data uploaded here are a truncated samples. Longer samples of data are available upon request.</p>
Influence of Feedback Phase on Time Delay Signature and Chaos Bandwidth in a Laser subject to Dual Optical Feedback
<p>This archive provides all the data and information needed to reproduce the simulation results from the paper titled "Influence of Feedback Phase on Time Delay Signature and Chaos Bandwidth in a Laser subject to Dual Optical Feedback". You can access the paper on ArXiv: https://arxiv.org/abs/2311.14449</p> <p> </p> <p> </p>
Data Processing Pipeline and Products from the NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths
<p>This Zenodo dataset contains the data processing pipeline, as well as the data products, corresponding to the scientific journal paper "NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths". The processing pipeline is structured as follows:</p> <ol> <li>1_fit_dispersion_3terms.py reads the .tim files (containing the times-of-arrival), creates the broadband and narrowband datasets, and fits a dispersion model to both datasets using three parameters.</li> <li>2_plot_fits_differences.py creates the residual plots showing the differences in the fitted values of the parameters.</li> <li>3_autocovariance.py calculates the autocovariance function of the differences in the fitted values, and creates the corresponding plots.</li> <li>All the files starting with "plot" are convenience scripts for creating the plots presented in the paper.</li> <li>All the files starting with "sophia" are utility functions created by the authors that are used in the main pipeline.</li> <li>The folder "NANOGrav_12yv4" contains the dataset analyzed in this work.</li> <li>The folder "NG_timing_analysis" contains utility functions created by the NANOGrav collaboration that are used in the main pipeline.</li> </ol> <p>Please do not hesitate to send all your questions, concerns, or commentaries to sophia.sosa@nanograv.org</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.