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21 results for “frequency spectrum”
Solar and interplanetary magnetic field data analyzed in "Optimal frequency-domain analysis for spacecraft time series: Introducing the missing-data multitaper power spectrum estimator"
<p>This dataset contains simultaneous measurements of the interplanetary magnetic field magnitude <B> and the sun's radio flux at 10.7 cm <F10.7>. <B> measurements come from a series of spacecraft located at the L1 point, while <F10.7> was measured by the ongoing monitoring program by Canada's Dominion Radio Astrophysical Observatory. Bartels rotation-averaged data were downloaded from NASA's OMNIWeb, https://omniweb.gsfc.nasa.gov/html/ow_data.html. The file contains other solar wind plasma parameters that were not used in the analysis.</p>
Signal frequency dependence of ionospheric scintillations: An indicator of irregularity spectrum characteristics
<p>The files contain the following data for 11 days in March 2015:</p> <p>1) L-band S4 for the L1 signal from geostationary satellite GSAT-10 recorded at two stations: MUM and TRV.</p> <p> The data columns represent: Indian Standard Time (IST), signal path ELEVATION and AZIMUTH, S4 , S4_corrected , IPP_LATITUDE and IPP_LONGITUDE. The file name contains the day information.</p> <p>2) VHF S4 for the 251 MHz signal from geostationary satellite UFO10 recorded at two stations: MUM and TIR.</p> <p>The data columns represent: Year Month Day IST S4.</p>
Data from: Beyond rhythm - a framework for understanding the frequency spectrum of neural activity
<p>Cognitive and behavioral processes are often accompanied by changes within well-defined frequency bands of the local field potential (LFP i.e., the voltage induced by neuronal activity). These changes are detectable in the frequency domain using the Fourier transform and are often interpreted as neuronal oscillations. However, aside some well-known exceptions, the processes underlying such changes are difficult to track in time, making their oscillatory nature hard to verify. In addition, many non-periodic neural processes can also have spectra that emphasize specific frequencies. Thus, the notion that spectral changes reflect oscillations is likely too restrictive. In this study, we use a simple yet versatile framework to understand the frequency spectra of neural recordings. Using simulations, we derive the Fourier spectra of periodic, quasi-periodic and non-periodic neural processes having diverse waveforms, illustrating how these attributes shape their spectral signatures. We then show how neural processes sum their energy in the local field potential in simulated and real-world recording scenarios. We find that the spectral power of neural processes is essentially determined by two aspects: 1) the distribution of neural events in time and 2) the waveform of the voltage induced by single neural events. Taken together, this work guides the interpretation of the Fourier spectrum of neural recordings and indicates that power increases in specific frequency bands do not necessarily reflect periodic neural activity.</p>
Data from: Beyond rhythm - a framework for understanding the frequency spectrum of neural activity
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Wide spectrum and high frequency of genomic structural variation, including transposable elements, in large double stranded DNA viruses
Our knowledge of the diversity and frequency of genomic structural variation segregating in populations of large double stranded (ds) DNA viruses is limited. Here we sequenced the genome of a baculovirus (AcMNPV) purified from beet armyworm (Spodoptera exigua) larvae at depths >195,000X using both short-read (Illumina) and long-read (PacBio) technologies. Using a pipeline relying on hierarchical clustering of structural variants (SVs) detected in individual short- and long-reads by six variant callers, we identified a total of 1,141 SVs in AcMNPV, including 464 deletions, 443 inversions, 160 duplications and 74 insertions. These variants are considered robust and unlikely to result from technical artifacts because they were independently detected in at least three long reads as well as at least three short reads. SVs are distributed along the entire AcMNPV genome and may involve large genomic regions (30,496 bp on average). We show that no less than 39.9% of genomes carry at least one SV in AcMNPV populations, that the vast majority of SVs (75%) segregate at very low frequency (<0.01%) and that very few SVs persist after 10 replication cycles, consistent with a negative impact of most SVs on AcMNPV fitness. Using short-read sequencing datasets, we then show that populations of two iridoviruses and one herpesvirus are also full of SVs, as they contain between 426 and 1102 SVs carried by 52.4 to 80.1% of genomes. Finally, AcMNPV long reads allowed us to identify 1,757 transposable elements (TEs) insertions, 895 of which are truncated and occur at one extremity of the reads. This further supports the role of baculoviruses as possible vectors of horizontal transfer of TEs. Altogether, we found that SVs, which evolve mostly under rapid dynamics of gain and loss in viral populations, represent an important feature in the biology of large dsDNA viruses.
Data from: Demographic model selection using random forests and the site frequency spectrum
Phylogeographic data sets have grown from tens to thousands of loci in recent years, but extant statistical methods do not take full advantage of these large data sets. For example, approximate Bayesian computation (ABC) is a commonly used method for the explicit comparison of alternate demographic histories, but it is limited by the "curse of dimensionality" and issues related to the simulation and summarization of data when applied to next-generation sequencing (NGS) data sets. We implement here several improvements to overcome these difficulties. We use a Random Forest (RF) classifier for model selection to circumvent the curse of dimensionality and apply a binned representation of the multidimensional site frequency spectrum (mSFS) to address issues related to the simulation and summarization of large SNP data sets. We evaluate the performance of these improvements using simulation and find low overall error rates (~7%). We then apply the approach to data from Haplotrema vancouverense, a land snail endemic to the Pacific Northwest of North America. Fifteen demographic models were compared, and our results support a model of recent dispersal from coastal to inland rainforests. Our results demonstrate that binning is an effective strategy for the construction of a mSFS and imply that the statistical power of RF when applied to demographic model selection is at least comparable to traditional ABC algorithms. Importantly, by combining these strategies, large sets of models with differing numbers of populations can be evaluated.
[Dataset] Difference spectrum fitting of the ion-neutral collision frequency from dual-frequency EISCAT measurements
<p>Dataset used for "Difference spectrum fitting of the ion-neutral collision frequency from dual-frequency EISCAT measurements"</p>
Data from: Demographic model selection using random forests and the site frequency spectrum
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Wide spectrum and high frequency of genomic structural variation, including transposable elements, in large double stranded DNA viruses
Open the record for dataset details and reuse information.
Data from: Signatures of introgression across the allele frequency spectrum
<p>This repository is associated with the article "Signatures of introgression across the allele frequency spectrum" by Simon H. Martin and William Amos, in Molecular Biology and Evolution (<a href="https://doi.org/10.1093/molbev/msaa239">https://doi.org/10.1093/molbev/msaa239</a>)</p> <p>Empirical genotype data from six different taxa are included. All are based on previously published data, but we provide the processed genotype files and frequency spectra used for our analyses for convenience. The repository also contains the plotted values underlying all figures (both empirical and simulated results).</p>
Dataset underlying publication "Optical-comb-based frequency stability transfer across the spectrum with a multi-channel FPGA
<p>This archive contains datasets underlying plots of the publication "Optical-comb-based frequency stability transfer across the spectrum with a multi-channel FPGA".</p> <p>Datasets contain header, and a minimum script to reproduce figures is provided</p> <p>This work was supported by the European Metrology Program for Innovation and Research (EMPIR), Project 20FUN08 Nextlasers, which<br>received funding from the EMPIR programme cofinanced by the Participating States and from the European Union’s Horizon 2020 research and innovation program. </p>
Frequency of FCGR3A Gene Polymorphisms in Patients With Neuromyelitis Optica Spectrum Disorders, Anti-oligodendrocyte Myelin Protein Antibody Disease, and Multiple Sclerosis.
ClinicalTrials.gov study NCT06865274. IPD Sharing: NO. Countries: 1. Publications: 30.
How much does Ne vary among species? Site Frequency Spectrum data
<p><br> This directory contains Site Frequency Spectra (SFS) data analyzed by Galtier & Rousselle 2020, https://www.biorxiv.org/content/10.1101/861849v1</p> <p>All files are in DoFE format (see http://www.lifesci.susx.ac.uk/home/Adam_Eyre-Walker/Website/Software.html), with the additional #unfolded annotation when required.</p> <p>There are four subdirectories:</p> <p>- primates_fruitflies: unfolded SFS from 5 species of primates and 5 species of fruitflies, all mutations and GC-conservative mutations only.<br> - Rousselle_et_al_2019: unfolded SFS from 50 species from 10 groups of animals, all mutations and GC-conservative mutations only.<br> - Chen_et_al_2017: folded SFS from 23 species of animals, all mutations; please note that the Chen et al. 2017 SFS, although folded, are encoded as unfolded for consistency.<br> - Galtier_2016: unfolded SFS from 28 species of animals, all mutations.</p> <p>Example command lines:</p> <p>#Gamma<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model GammaZero -fold<br> #Gamma+lethal, plth=0.6<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model GammaZero -p_lethal 0.6 -fold<br> #Reflected Gamma+lethal, plth=0.6<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model ReflectedGamma -p_lethal 0.6 -fold<br> #Gamma+lethal, plth=0.6, unfolded<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model GammaZero -p_lethal 0.6</p> <p> </p>
Data from: Sharpening coarse-to-fine stereo vision by perceptual learning: asymmetric transfer across the spatial frequency spectrum
Neurons in the early visual cortex are finely tuned to different low-level visual features, forming a multi-channel system analysing the visual image formed on the retina in a parallel manner. However, little is known about the potential 'cross-talk' among these channels. Here, we systematically investigated whether stereoacuity, over a large range of target spatial frequencies, can be enhanced by perceptual learning. Using narrow-band visual stimuli, we found that practice with coarse (low spatial frequency) targets substantially improves performance, and that the improvement spreads from coarse to fine (high spatial frequency) three-dimensional perception, generalizing broadly across untrained spatial frequencies and orientations. Notably, we observed an asymmetric transfer of learning across the spatial frequency spectrum. The bandwidth of transfer was broader when training was at a high spatial frequency than at a low spatial frequency. Stereoacuity training is most beneficial when trained with fine targets. This broad transfer of stereoacuity learning contrasts with the highly specific learning reported for other basic visual functions. We also revealed strategies to boost learning outcomes 'beyond-the-plateau'. Our investigations contribute to understanding the functional properties of the network subserving stereovision. The ability to generalize may provide a key principle for restoring impaired binocular vision in clinical situations.
Data from: The aggregate site frequency spectrum (aSFS) for comparative population genomic inference
Understanding how assemblages of species responded to past climate change is a central goal of comparative phylogeography and comparative population genomics, and an endeavor that has increasing potential to integrate with community ecology. New sequencing technology now provides the potential to gain complex demographic inference at unprecedented resolution across assemblages of non-model species. To this end, we introduce the aggregate site frequency spectrum (aSFS), an expansion of the site frequency spectrum to use single nucleotide polymorphism (SNP) datasets collected from multiple, co-distributed species for assemblage-level demographic inference. We describe how the aSFS is constructed over an arbitrary number of independent population samples and then demonstrate how the aSFS can differentiate various multi-species demographic histories under a wide range of sampling configurations while allowing effective population sizes and expansion magnitudes to vary independently. We subsequently couple the aSFS with a hierarchical approximate Bayesian computation (hABC) framework to estimate degree of temporal synchronicity in expansion times across taxa, including an empirical demonstration with a dataset consisting of five populations of the threespine stickleback (Gasterosteus aculeatus). Corroborating what is generally understood about the recent post-glacial origins of these populations, the joint aSFS/hABC analysis strongly suggests that the stickleback data are most consistent with synchronous expansion after the Last Glacial Maximum (posterior probability = 0.99). The aSFS will have general application for multi-level statistical frameworks to test models involving assemblages and/or communities and as large-scale SNP data from non-model species become routine, the aSFS expands the potential for powerful next-generation comparative population genomic inference.
Data from: Sharpening coarse-to-fine stereo vision by perceptual learning: asymmetric transfer across the spatial frequency spectrum
Open the record for dataset details and reuse information.
Data from: The aggregate site frequency spectrum (aSFS) for comparative population genomic inference
Open the record for dataset details and reuse information.
Signal-noise metrics for RNA binding protein identification reveal broad spectrum protein-RNA interaction frequencies and dynamics
GEO Series GSE235647. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Low-Frequency Radio Catalog of Flat-Spectrum Sources
A well-known property of the gamma-ray sources detected by Cos-B in the 1970s, by the Compton Gamma-Ray Observatory in the 1990s, and recently by the Fermi Gamma-ray Observatory is the presence of radio counterparts, particularly for those associated with extragalactic objects. This observational evidence is the basis of the radio/gamma-ray connection established for the class of active galactic nuclei known as blazars. In particular, the main spectral property of the radio counterparts associated with gamma-ray blazars is that they show a flat spectrum in the GHz frequency range. The authors' recent analysis dedicated to search for blazar-like candidates as potential counterparts for the unidentified gamma-ray sources allowed them to extend the radio/gamma-ray connection in the MHz regime. They also showed that blazars below 1 GHz maintain flat radio spectra. Thus, on the basis of these new results, the authors have assembled a low-frequency radio catalog of flat-spectrum sources built by combining the radio observations of the Westerbork Northern Sky Survey (WENSS) and of the Westerbork in the southern hemisphere (WISH) catalogs with those of the NRAO Very Large Array Sky survey (NVSS). This catalog could be used in the future to search for new, unknown blazar-like counterparts of gamma-ray sources. First, the authors found NVSS counterparts of Westerbork Synthesis Radio Telescope (WSRT) radio sources, and then they selected flat-spectrum radio sources according to a new spectral criterion, specifically defined for radio observations performed below 1 GHz. In their paper, they also describe the main properties of the catalog listing 28,358 radio sources with spectral indices between 1400 and 325/352 MHz between -1.0 and +0.4, and their log N - log S distributions. Finally, a comparison with the Green Bank 6 cm radio source catalog was performed so as to investigate the spectral shape of the low-frequency flat-spectrum radio sources at higher frequencies. This table was created by the HEASARC in July 2014 based on a machine-readable version of Table 1 from the reference paper which was obtained from the ApJS web site. This is a service provided by NASA HEASARC .
Hawkeye Electric and Magnetic Field Radio Frequency Spectrum Analyzer High Time Resolution
The CDF file contains approximately 22 second time resolution Electric and Magnetic field data, average magnetic field magnitude, and orbital position data from Hawkeye 1. The VLF experiment measured electric and magnetic fields using a 42.45-m electric dipole (tip-to-tip) which extended perpendicular to the spin axis and a search coil antenna deployed 1.58 m from the spacecraft. The electric field spectrum measurements were made in 16 logarithmically spaced frequency channels extending from 1.78 Hz to 178 kHz, and dc electric fields were also measured. The bandwidth of these channels varied from 7.5% to 30% depending on center frequency. Channel sensitivity and dynamic range were 1E-6 V/m and 100 dB, respectively. A wideband receiver was also used, with two selectable bandwidth ranges: 0.15 to 10 kHz or 1 to 45 kHz. The magnetic field spectrum was measured in eight discrete, logarithmically spaced channels from 1.78 Hz to 5.62 kHz. The bandwidth of these channels varied from 7.5% to 30% depending on frequency. The dynamic range was 100 dB, and the sensitivity ranged from 0.1 nT at 1.78 Hz to 3.4E-4 nT at 5.62 kHz. The wideband receiver described above could be used with the magnetic antenna. Each discrete channel was sampled once every 11.52 s.
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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.