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41 results for “spectrogram”
Spectrograms 2018-2020 of multi-position facility for HF Doppler sounding
<p>This dataset contains the processed data used for the publication: MULTI-POSITION FACILITY FOR HF DOPPLER SOUNDING OF IONOSPHERIC INHOMOGENEITIES IN UKRAINE. The dataset contains the spectrograms of received signals of multi-positional Doppler sounding system for 2018-2020 years. HF signal was registered by three stations: Low Frequency Obserwatory (LFO), receiver in the southwestern part of Kharkiv (SWK), S.Y. Braude Radio Astronomical Observatory (RAO). Spectrograms plotted for 24 and 3-hour intervals.</p>
FIGURE 5. Calling song spectrograms. A in New Neotropical species of Hygronemobius Hebard, 1913 (Orthoptera: Grylloidea: Nemobiinae), including a brief discussion of male genitalia morphology and preliminary biogeographic considerations of the genus
FIGURE 5. Calling song spectrograms. A—Hygronemobius indaia sp. n., B—Hygronemobius iperoigae sp. n.
Determining the absolute temporal field of ultra-broadband terahertz-infrared pulses with field-induced second-harmonic spectrograms - Data
<p>Experimental and simulation data from paper "Determining the absolute temporal field of ultra-broadband terahertz-infrared pulses with field-induced second-harmonic spectrograms".</p> <p>See Summary.pdf for description of contents.</p>
Genomic spectrograms of subsamplings from complete sequences of SARS-CoV-2
Open the record for dataset details and reuse information.
Lahar spectrograms from the paper "Lahar Early Warning at Volcano Santiaguito, Guatemala: a Standard and a Deep Learning Approach"
Open the record for dataset details and reuse information.
Supplementary material S31: Averaged spectrograms for the full collection of jolting pulses on each substrate.
<p>A series of spectrograms to demonstrate the filtering parameters chosen for each collection of jolt pulses to improve the alignment process. A selection of pulses from each substrate collection were averaged to produce each panel. This number differed based upon the number of pulses that showcased clarity (petri-dish = 40, honeycomb = 8, brood-comb = 40). Background frequencies were filtered as follows: 19 kHz high-pass (a), 500 Hz high-pass and 12 – 19 kHz band-stop (b), 500-2500 Hz bandpass (c), leaving only the frequencies where strong signal occurs. This then produces cleaner accelerometer data for improved scrutiny of the pulses to identify similarities within each substrate. The colour-coding of each spectrogram is not relevant for this figure as it serves only the purpose of substantiating the filtering choices. </p>
Gunshot sound files and spectrogram images from passive acoustic monitoring data in Vietnam.
<h3><strong>Introduction</strong></h3> <p>This dataset was created to support benchmarking of automated gunshot detection models using 'torch for R'. The data includes recordings collected from Chu Mom Ray National Park in Vietnam combined with an open dataset of gunshots from Belize (Katsis et al. 2022). The dataset is organized into several folders containing .jpg images and their corresponding .wav audio clips. </p> <h3>Data Summary</h3> <p>The dataset is divided into three main categories based on the region and use case:</p> <ol> <li>imagesvietnamunbalanced: Contains spectrogram images and audio data collected from Chu Mom Ray National Park in Vietnam. These data are used for training and evaluating automated gunshot detection models.</li> <li>imagesvietnam_belize: Includes spectrogram images and audio data from both Vietnam and Belize. The data in this folder is used for benchmarking model performance across different geographical regions.</li> <li>testdatacombined: Separate test data to evaluate performance with a large number of noise clips, representing real-world automated detection scenarios.</li> </ol> <p>Each .jpg image in these directories is associated with a .wav file representing a corresponding audio clip. The .wav files were recorded using passive acoustic monitoring and clips were isolated using manual annotations in Raven Pro Software.</p> <p>If used please cite: </p> <p>Vu, T. T., Phan, D. V., Le, T. S., & Clink, D. J. (2024). Investigating hunting in a protected area in Southeast Asia using passive acoustic monitoring with mobile smartphones and deep learning. <em>Ecological Indicators. </em></p> <p>Vu, T. T., Phan, D. V., Le, T. S., & Clink, D. J. (2024). Gunshot sound files and images from passive acoustic monitoring data in Vietnam. [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.13893977" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13893977</a></p> <p>Katsis, Lydia; Hill, Andrew; Piña-Covarrubias, Evelyn; Prince, Peter; Rogers, Alex; Doncaster, C. Patrick; Snaddon, Jake (2022), “Tropical forest gunshot classification training audio dataset”, <em>Mendeley Data</em>, V3, doi: 10.17632/x48cwz364j.3</p>
EEG Spectrogram, Brain Vulnerability and POD
ClinicalTrials.gov study NCT05368272. IPD Sharing: NO. Countries: 1. Publications: 0.
EEG Spectrogram-guided vs. Index-guided Anesthesia for Craniotomy
ClinicalTrials.gov study NCT06244017. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observational of Emergence Time Between Patients Receive General Anesthesia With BIS or Spectrogram EEG Monitor
ClinicalTrials.gov study NCT05208502. IPD Sharing: Not stated. Countries: 1. Publications: 0.
FIG. 1. Call spectrograms for B in CCTV enables the discovery of new barbastelle (Barbastella barbastellus) vocalisations and activity patterns near a roost
FIG. 1. Call spectrograms for B. barbastellus close to the roost. A) Standard pass echolocation, showing lower frequency type 1 and higher frequency type 2 pulses alternating, then followed by type 1 pulses only; B) Approach echolocation pulse group produced by a single bat approaching the roost tree entrance. In each case, pulse analysis was based on the central group of five pulses: pulses 3 to 7 from the left in this case. This example shows a group of lower frequency pulses on the far right, typical of a bat approaching the tree very closely; C) Swarming echolocation recorded with two bats in flight close to the roost. These are broadband pulses with second harmonics. Pulses do not appear in a fixed pattern as with approach echolocation, but tend to be produced in a dynamic group. It is not possible to determine from which bat successive pulses originated; D) Swarming honking recorded with five bats in flight round the roost tree. These are similar to swarming echolocation pulses but with a high amplitude quasi-constant frequency (QCF) tail, apparently to communicate with bats on a collision course; E) Hooked social calls recorded just before swarming activity with five bats. The straighter pulses next to the hooked calls were presumably produced by a different bat
Van Allen Probe A Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) Density and other Parameters derived by digitizing Traces on Spectrograms, Level 4 (L4), 0.5 s Data
Van Allen Probe A, Electric and Magnetic Field Instrument Suite and Integrated Science, EMFISIS, derived Density and other Parameters inferred by digitizing Traces on Spectrograms. The EMFISIS Waves Instrument provides a Measure of the Frequency of the Upper Hybrid Resonance Band thereby providing an accurate Determination of the Electron Density. The Electron Density is most easily and accurately measured by Means of Resonances and Cutoffs in the Wave Spectrum rather than Particle Detector Measurements which are subject to Spacecraft Charging and other complicating Factors.
IMAGE RPI Dynamic Spectrogram data in CDF at NASA CDAWeb
RPI passive wave measurement capturing voltage spectral density of the radio emissions in space as a function of frequency, typically between 3 and 1009 kHz. This operating frequency range was selected by the RPI team to provide optimal temporal resolution of the wave observations. Commonly used in the analysis of noise generators, spectral density is a frequency-dependent characteristic that describes how much power is generated by the emission source in a 1 Hz bandwidth. The original description of emissions was done in terms of thermal noise measurements, though the same approach also applies to non-thermal emissions such as AKR. CDF_DS_PT5M stores calibrated data from all three RPI antennas X, Y, and Z individually and a combined X+Y antenna channel. The data are presented as the Voltage Spectral Density (VSD), which is the root of power spectral density, measured in [V/root-Hz] units. Note that conversion of antenna voltage to electric field strength depends on the effective length of the receive antenna, and such conversion is not performed here. (See spase://SMWG/Instrument/IMAGE/RPI for a time history of the lengths of the three mutually orthogonal RPI dipole antennas.) RPI is capable of detecting input radio emissions above its noise floor of 5 nV/root-Hz, which is determined by the internal white noise of the RPI antenna pre-amplifiers. The VSD in RPI spectrogram data is presented in dB relative to 1 V/root-Hz (logarithmic scale), units of dB(V/root-Hz). The RPI instrument noise floor is 5 nV/root-Hz = -166 dB(V/root-Hz) at the receiver input. Software suggested by the science team for CDF file visualization: (1) Plotting tool at the CDAWeb portal, (2) For analysis beyond static image inspection, including color scale optimization, zooming, text export, alternative data representations in physical units, detailed frequency and time information, overlaid model fpe and fce graphs, and EPS quality figures, use BinBrowser software at UML, http://ulcar.uml.edu/rpi.html
Van Allen Probe B Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) Density and other Parameters derived by digitizing Traces on Spectrograms, Level 4 (L4), 0.5 s Data
Van Allen Probe B, Electric and Magnetic Field Instrument Suite and Integrated Science, EMFISIS, derived Density and other Parameters inferred by digitizing Traces on Spectrograms. The EMFISIS Waves Instrument provides a Measure of the Frequency of the Upper Hybrid Resonance Band thereby providing an accurate Determination of the Electron Density. The Electron Density is most easily and accurately measured by Means of Resonances and Cutoffs in the Wave Spectrum rather than Particle Detector Measurements which are subject to Spacecraft Charging and other complicating Factors.
IHW AMATEUR SPECTROGRAMS OF COMET 1P/HALLEY
Report of spectrograms of comet 1P/Halley taken by amateur astronomers and submitted as part of the International Halley Watch Amateur Network. No digital data are included in these files - only the observational parameters are recorded. The documented photographic plates have not been digitized or included in the archive directly.
THEMIS-B: Solid State Telescope (SST): Energy flux spectrogram, electron/ion ground-calculated fluxes (30 keV - 300 keV).
THEMIS-B: The Solid State Telescope (SST) measures the incoming intensity (flux per solid angle) of superthermal electrons and ions. The spacecraft is fitted with two units (heads), each SST unit has two pairs of opposing ion and electron sensors. Each single sensor covers an angle of 36 degrees. The units are oriented such that one pair is always centered in the rotation plane, the other oriented at a maximum angle of 54 degrees off the plane. Each pair of units are oriented opposite each other allowing both ion and electron sensors to sweep out a maximum of 92% of the sky (45x45 degree required Elevation by Azimuth FOV, 108x22 raw) . The ion and electron sensors primarily measure particles between 30-300 keV and 30-100 keV respectively with a maximum capability of 20-6000 keV and 25-1000 keV. Full distribution data is measured over 128 angles and 16 energy bins, reduced distribution uses 6 angles and 16 energy bins, and burst mode data has 64 angles in 16 energy bins. Matched and paired electron broom magnets produce quadrapole fields reducing magnetic contamination. A mechanical attenuator is used to increase the instruments dynamical range avoiding oversaturation near the plasma sheet edge.
THEMIS-D: Solid State Telescope (SST): Energy flux spectrogram, electron/ion ground-calculated fluxes (30 keV - 300 keV).
THEMIS-D: The Solid State Telescope (SST) measures the incoming intensity (flux per solid angle) of superthermal electrons and ions. The spacecraft is fitted with two units (heads), each SST unit has two pairs of opposing ion and electron sensors. Each single sensor covers an angle of 36 degrees. The units are oriented such that one pair is always centered in the rotation plane, the other oriented at a maximum angle of 54 degrees off the plane. Each pair of units are oriented opposite each other allowing both ion and electron sensors to sweep out a maximum of 92% of the sky (45x45 degree required Elevation by Azimuth FOV, 108x22 raw) . The ion and electron sensors primarily measure particles between 30-300 keV and 30-100 keV respectively with a maximum capability of 20-6000 keV and 25-1000 keV. Full distribution data is measured over 128 angles and 16 energy bins, reduced distribution uses 6 angles and 16 energy bins, and burst mode data has 64 angles in 16 energy bins. Matched and paired electron broom magnets produce quadrapole fields reducing magnetic contamination. A mechanical attenuator is used to increase the instruments dynamical range avoiding oversaturation near the plasma sheet edge.
THEMIS-C: Solid State Telescope (SST): Energy flux spectrogram, electron/ion ground-calculated fluxes (30 keV - 300 keV).
THEMIS-C: The Solid State Telescope (SST) measures the incoming intensity (flux per solid angle) of superthermal electrons and ions. The spacecraft is fitted with two units (heads), each SST unit has two pairs of opposing ion and electron sensors. Each single sensor covers an angle of 36 degrees. The units are oriented such that one pair is always centered in the rotation plane, the other oriented at a maximum angle of 54 degrees off the plane. Each pair of units are oriented opposite each other allowing both ion and electron sensors to sweep out a maximum of 92% of the sky (45x45 degree required Elevation by Azimuth FOV, 108x22 raw) . The ion and electron sensors primarily measure particles between 30-300 keV and 30-100 keV respectively with a maximum capability of 20-6000 keV and 25-1000 keV. Full distribution data is measured over 128 angles and 16 energy bins, reduced distribution uses 6 angles and 16 energy bins, and burst mode data has 64 angles in 16 energy bins. Matched and paired electron broom magnets produce quadrapole fields reducing magnetic contamination. A mechanical attenuator is used to increase the instruments dynamical range avoiding oversaturation near the plasma sheet edge.
THEMIS-A: Solid State Telescope (SST): Energy flux spectrogram, electron/ion ground-calculated fluxes (30 keV - 300 keV).
THEMIS-A: The Solid State Telescope (SST) measures the incoming intensity (flux per solid angle) of superthermal electrons and ions. The spacecraft is fitted with two units (heads), each SST unit has two pairs of opposing ion and electron sensors. Each single sensor covers an angle of 36 degrees. The units are oriented such that one pair is always centered in the rotation plane, the other oriented at a maximum angle of 54 degrees off the plane. Each pair of units are oriented opposite each other allowing both ion and electron sensors to sweep out a maximum of 92% of the sky (45x45 degree required Elevation by Azimuth FOV, 108x22 raw) . The ion and electron sensors primarily measure particles between 30-300 keV and 30-100 keV respectively with a maximum capability of 20-6000 keV and 25-1000 keV. Full distribution data is measured over 128 angles and 16 energy bins, reduced distribution uses 6 angles and 16 energy bins, and burst mode data has 64 angles in 16 energy bins. Matched and paired electron broom magnets produce quadrapole fields reducing magnetic contamination. A mechanical attenuator is used to increase the instruments dynamical range avoiding oversaturation near the plasma sheet edge.
IHW AMATEUR SPECTROGRAMS OF COMET 1P/HALLEY
Report of spectrograms of comet 1P/Halley taken by amateur astronomers and submitted as part of the International Halley Watch Amateur Network. No digital data are included in these files - only the observational parameters are recorded. The documented photographic plates have not been digitized or included in the archive directly.
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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.