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ShareScore release 0.9.0
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3 results for “Article Separation”
data set related to article Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach
<p>This record contains raw data related to article Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach</p>
data set related to article Simultaneous and sequential subitizing are separate systems, and neither predicts math abilities
<p>This record contains raw data related to article Simultaneous and sequential subitizing are separate systems, and neither predicts math abilities</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>
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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.