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638
datasets available to search
ShareScore release 0.9.0
Dataset results
638 results for “oscillation”
Molecular Adaptation to Ambient Salinity Oscillations in Greater Amberjack (Seriola dumerili): Implications to Aquaculture
GEO Series GSE220485. Seriola dumerili. 12 samples. Type: Expression profiling by high throughput sequencing.
NOTCH-driven oscillations control cell fate decisions during intestinal homeostasis
GEO Series GSE276270. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.
Coupling of cellular processes and their coordinated oscillations under continuous light in cyanothece sp. ATCC 51142, a diazotrophic unicellular cyanobacteria
GEO Series GSE65429. Crocosphaera subtropica ATCC 51142. 48 samples. Type: Expression profiling by array.
Effect of oscillating shear stress on gene expression of endothelial progenitor cells
GEO Series GSE211402. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Genome-scale DNA methylation oscillations in pluripotent cells
GEO Series GSE75975. Mus musculus. 765 samples. Type: Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Cross-modal interactions at the audiovisual cocktail-party revealed by behavior, ERPs, and neural oscillations
<p>This repository contains the raw EEG data sets associated with the following publication:</p> <p>Klatt, L. I., Begau, A., Schneider, D., Wascher, E., & Getzmann, S. (2023). Cross-modal interactions at the audiovisual cocktail-party revealed by behavior, ERPs, and neural oscillations. <em>NeuroImage</em>, <em>271</em>, 120022. https://doi.org/10.1016/j.neuroimage.2023.120022</p> <p>The associated OSF repository, containing the aggregated behavioral and EEG data files (e.g., mean RTs, mean N2ac amplitudes, mean N2pc amplitudes) as well as analysis scripts and JASP files can be found here: https://osf.io/asx5v/</p> <p>Please see the README file in the OSF repository for further information regarding the shared datasets (e.g., the difference between "coded" and "coded_wo_doubleAK" datasets). The data are shared under the following licence: CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/). </p> <p>To obtain access to this Zenodo repository, a data user agreement must be signed.</p>
Diurnal oscillations of MRI metrics in human brains
<p>Restricted access dataset used for the study "Diurnal oscillations of MRI metrics in human brains".</p> <p>Contains subject-level data within the following files:</p> <p>whole_brain_data.csv - average of each MRI metric across the relevant atlas for each time point.</p> <p>processed_ROI_data.csv - average of each MRI metric within each atlas ROI for each time point.</p> <p>whole_brain_techvar_data.csv - average of each MRI metric across the relevant atlas for each time point and back-to-back replicate.</p> <p>weights_kg.csv - body weight at each time point.</p> <p>actigraphy_3day.csv - steps registered by the FitBit device each minute for the 3 days of observation.</p> <p>actigraphy_sleep.csv - sleep intervals registered by the FitBit device during the 3 days of observation.</p> <p> </p>
Dataset for the article "Blindly separated spontaneous network-level oscillations predict corticospinal excitability"
<p>This repository contains a dataset supporting results in the manuscript: Ermolova, M., Metsomaa, J., Belardinelli, P., Zrenner, C., & Ziemann, U. (2024). Blindly separated spontaneous network-level oscillations predict corticospinal excitability. <em>Journal of Neural Engineering</em>, <em>21</em>(3), 036041.</p> <p>REFTEP dataset: TMS-EEG experiment on awake healthy human subjects. Single-pulse TMS was applied in resting state over primary motor cortex, with simultaneous EEG recording from the scalp and EMG recording from hand muscles. </p> <p>The dataset is intended for use by the code published at: https://github.com/mariaermolova/CSPAnalysis. The dataset is structured as follows: each .mat file corresponds to a single subject and contains a matlab structure with the following substructs. </p> <p>1. EEG data from 1.5 sec. before each TMS pulse (<em><strong>eeg</strong></em>). The data was preprocessed: bad trials and channels removed, signals detrended, ICA components corresponding to oculographic artefacts removed. </p> <p>2. EEG channel locations on the scalp (<em><strong>chanlocs</strong></em>) and indices of channels removed during preprocessing (<em><strong>removedChannels</strong></em>). </p> <p>3. Peak-to-peak amplitudes of Motor Evoked Potentials for each trial (<em><strong>mepSize</strong></em>) and excitability labels for each trial based on the amplitude of the corresponding MEP (<em><strong>labels</strong></em>). Labels correspond to high (1) vs low (0) MEP amplitude.</p>
Circadian regulation of Intellectual Disability genes in the hippocampus, a brain oscillator
GEO Series GSE66875. Mus musculus. 12 samples. Type: Expression profiling by array.
Genome wide transcriptional oscillation for Saccharomyces cerevisiae CEN.PK122
GEO Series GSE30054. Saccharomyces cerevisiae; Schizosaccharomyces pombe. 31 samples. Type: Expression profiling by array.
Pharmacological Manipulation of Nested Oscillations in Human iPSC-Derived 2D Neuronal Networks
GEO Series GSE302029. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
How to refocus attention on working memory representations following interruptions—Evidence from frontal theta and posterior alpha oscillations
<p>Interruptions lead to a deterioration of primary task performance. Applied research usually describes a delay in primary task resumption as an essential component of this performance deficit. Here, we investigate this approach using electrophysiological correlates of the focusing of attention within work- ing memory, a process that is fundamental to switching between different tasks. A lateralized working memory task was frequently interrupted by either a high- or low-demanding arithmetic task and a subsequent retrospective cue indicated the working memory item required for later report. The detrimental effect of interruptions on primary task performance was most pronounced for high-demanding interruptions. After retro-cue presentation, fronto-central theta power (4–7 Hz) was lowest following high-demanding interruptions and posterior alpha power (8–14 Hz) was less suppressed in the two interruption conditions. These effects might be related to a deficit in attentional control processes following the retrospective cue. Furthermore, we introduce the sup- pression of posterior alpha power contralateral to the remembered primary task stimuli during the interruption phase as a temporal marker for primary task resumption. Especially for cognitively demanding interruption tasks, this effect seems to overlap in time with the processing of the interruption, which should contribute to the primary task performance deficit.</p>
Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations.
<p>Faes L, Pernice R, Mijatovic G, Antonacci Y, Krohova JC, Javorka M, Porta A. Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200250. doi: 10.1098/rsta.2020.0250. Epub 2021 Oct 25. PMID: 34689619.</p> <p>Abstract</p> <p>While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectral decomposition of multivariate information measures, which provides frequency-specific quantifications of the information shared between a target and two source time series and of its expansion into amounts related to how the sources contribute to the target dynamics with unique, redundant and synergistic information. The framework is illustrated in simulations of linearly interacting stochastic processes, showing how it allows us to retrieve amounts of information shared by the processes within specific frequency bands which are otherwise not detectable by time-domain information measures, as well as coupling features which are not detectable by spectral measures. Then, it is applied to the time series of heart period, systolic and diastolic arterial pressure and respiration variability measured in healthy subjects monitored in the resting supine position and during head-up tilt. We show that the spectral measures of unique, redundant and synergistic information shared by these variability series, integrated within specific frequency bands of physiological interest and reflect the mechanisms of short-term regulation of cardiovascular and cardiorespiratory oscillations and their alterations induced by the postural stress. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.</p>
experimental database for article "Enhancement of photon detection in superconducting nanostructure single photon detector exposed to oscillating magnetic field"
<p>these files contain the experimental database for the article "Enhancement of photon detection in superconducting nanostructure single photon detector exposed to oscillating magnetic field" send for publication in APL.</p>
Dataset accompanying publication: "Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent"
<p>The mat file consists of the following Matlab variables</p> <ol> <li><strong>Electrode Distance</strong>: 3 x 1 cell array containing the arrays (trial x electrode) of distance from stimulating electrode to recording electrode for the three ECoG participants. (First array corresponds to P001, Second array corresponds to P005 and Third array corresponds to P008)</li> <li><strong>Spectra_Electrode_EC</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-closed experiment. nTrial corresponds to number of trials, nFreq corresponds to frequencies at which spectral power is calculated, nChannels corresponds to number of electrodes in the analysis and nEpochs corresponds to “Before Stimulation”, “During Stimulation” and “After Stimulation” epochs.</li> <li><strong>Spectra_Electrode_EO</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-open experiment. The dimensions are the same as above. The first array consists of task-engaged dataset from Participant P001.</li> <li><strong>MI_Summary</strong>: 8 x 1 cell array consisting of 3 x 1 cell arrays of modulation indexes for the three participants. The 8 arrays stand for the modulation indexes in different epochs and different frequencies. Refer <strong>MI_Summary_Names</strong></li> <li><strong>MI_Summary_Names</strong>: 8 x 1 cell array consisting of strings denoting the arrays in <strong>MI_Summary</strong>. <strong>During</strong> in text corresponds to “During Stimulation” epoch and <strong>After</strong> corresponds to “After Stimulation” epoch.</li> <li><strong>f</strong>: Frequencies at which spectral power was estimated.</li> </ol>
Axisymmetric viscous interfacial oscillations - Theory and simulations, Supplementary Files
<p>These files are used to do the following:</p> <p>a) Plot the equation for amplitude as a function of time.</p> <p>b) Integrate the expression for vorticity in upper and lower fluids and plot as a function of space.</p> <p>c) Invert the expression for \tilde{a}_k(a) from Laplace to time domain for arbitrary viscosity ratios.</p> <p>d) Find the roots for the dispersion relation for normal mode analysis.</p> <p>e) Script file for Basilisk simulations.</p> <p>f) Data sheet used in simulations.</p>
Lateralized alpha oscillations are irrelevant for the behavioral retro-cueing benefit in visual working memory
<p>Rawdata of Moessing & Busch (2020). See article at https://peerj.com/articles/9398/</p>
Occipital intermittent-tACS during a visual task impact ongoing neural oscillation power, coherence and LZW complexity
<p>Dataset associated to a journal publication</p>
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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)
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.