Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
213
datasets available to search
ShareScore release 0.9.0
Dataset results
213 results for “neural activity”
Active neural coordination of motor behaviors with internal states
Open the record for dataset details and reuse information.
Data from: Low-dimensional spatio-temporal dynamics underlie cortex-wide neural activity
Open the record for dataset details and reuse information.
Data set for Neural-Network-Based Digital Predistortion for Active Antenna Arrays Under Load Modulation
<p>The dataset contains over-the-air measurements on a 64 active antenna array (Anokiwave AWMF-0129) operating at 28 GHz carrier frequency and transmitting a 200 MHz OFDM waveform with FFT size of 4096, 3168 active subcarriers, subcarrier spacing of 60 kHz and 5 times oversampling w.r.t the critical sampling rate. The dataset contains the I/Q samples of the TX waveform as well as the corresponding over-the-air received signals when the electrical beam is steered toward different beamforming directions. This dataset allows to observe and study the so-called beam-dependent load modulation, which is the phenomenon that causes the nonlinear characteristics of the antenna array to change with the beamforming direction. A Matlab script for data visualization is also provided.</p> <p>For further details please refer to the following papers:</p> <p>A. Brihuega <em>et al</em>., "Piecewise Digital Predistortion for mmWave Active Antenna Arrays: Algorithms and Measurements," in <em>IEEE Transactions on Microwave Theory and Techniques</em>, doi: 10.1109/TMTT.2020.2994311.</p> <p>A. Brihuega <em>et al</em>., “Neural-Network-Based Digital Predistortion for Active Antenna Arrays Under Load Modulation,” in <em>IEEE Microwave and Wireless Components Letters, </em>doi: 10.1109/LMWC.2020.3004003</p>
Data from: Neural activation following offensive aggression in Japanese quail
Aggression is a fundamental part of animal social behaviour. In avian species, little is known about its neural representation. In particular, neural activity following offensive aggression has not been studied in detail. Here, we investigated the patterns of brain activation using immediate-early gene (IEG) expression in male Japanese quail that showed pronounced aggressive behaviours during a 30 min male-male interaction and compared them to those of males that did not interact with a conspecific. In aggressive males, we found a massive induction of the IEG zenk in pallial brain structures such as the intermediate medial mesopallium, the caudomedial mesopallium and the intermediate medial nidopallium. To a lesser extent, activation was observed in subpallial areas such as the nucleus taeniae of the amygdala and in the medial portion of the bed nucleus of the stria terminalis. Our data suggest that the modulation of aggressive behaviour involves the integration of multisensory information.
Data from: Stimulus background influences phase invariant coding by correlated neural activity
We recently reported that correlations between the activities of peripheral afferents mediate a phase invariant representation of natural communication stimuli that is refined across successive processing stages thereby leading to perception and behavior in the weakly electric fish Apteronotus leptorhynchus (Metzen et al., 2016). Here, we explore how phase invariant coding and perception of natural communication stimuli are affected by changes in the sinusoidal background over which they occur. We found that increasing background frequency led to phase locking, which decreased both detectability and phase invariant coding. Correlated afferent activity was a much better predictor of behavior as assessed from both invariance and detectability than single neuron activity. Thus, our results not only provide further evidence that correlated activity likely determines perception of natural communication signals, but also provide a novel explanation as to why these preferentially occur on top of low frequency as well as low intensity sinusoidal backgrounds.
Data from: Differential neural processing during motor imagery of daily activities in chronic low back pain patients
Chronic low back pain (chronic LBP) is both debilitating for patients but also a major burden on the health care system. Previous studies reported various maladaptive structural and functional changes among chronic LBP patients on spine- and supraspinal levels including behavioral alterations. However, evidence for cortical reorganization in the sensorimotor system of chronic LBP patients is scarce. Motor Imagery (MI) is suitable for investigating the cortical sensorimotor network as it serves as a proxy for motor execution. Our aim was to investigate differential MI-driven cortical processing in chronic LBP compared to healthy controls (HC) by means of functional magnetic resonance imaging (fMRI). Twenty-nine subjects (15 chronic LBP patients, 14 HC) were included in the current study. MI stimuli consisted of randomly presented video clips showing every-day activities involving different whole-body movements as well as walking on even ground and walking downstairs and upstairs. Guided by the video clips, subjects had to perform MI of these activities, subsequently rating the vividness of their MI performance. Brain activity analysis revealed that chronic LBP patients exhibited significantly reduced activity compared to HC subjects in MI-related brain regions, namely the left supplementary motor area and right superior temporal sulcus. Furthermore, psycho-physiological-interaction analysis yielded significantly enhanced functional connectivity (FC) between various MI-associated brain regions in chronic LBP patients indicating diffuse and non-specific changes in FC. Current results demonstrate initial findings about differences in MI-driven cortical processing in chronic LBP pointing towards reorganization processes in the sensorimotor network.
ChEMBL Data for 'Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models'
Open the record for dataset details and reuse information.
No evidence of neural feature-specific pre-activation during the prediction of an upcoming stimulus
<p>Confusion matrices and decoding accuracy data of the publication "No evidence of neural feature-specific pre-activation during the prediction of an upcoming stimulus". See the publication methods for a detailed description of how these data were derived from the original, downsampled MEG data (available at https://zenodo.org/records/3268713).</p> <p> </p> <p> </p> <p> </p>
Neural correlates of temporal recalibration to delayed auditory feedback of active and passive movements
<p>Data related to the study: "Neural correlates of temporal recalibration to delayed auditory feedback of active and passive movements"</p>
Stimulating Neural Activity to Improve Blood Flow and Reduce Amyloid: Path to Clinical Trials
ClinicalTrials.gov study NCT03543878. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Rhythmic Auditory Stimulation on Neural Activity During Finger-tapping in PD Patients
ClinicalTrials.gov study NCT05839821. IPD Sharing: NO. Countries: 0. Publications: 6.
Activating and Identifying Neural Responses to Social Rejection: a Combined tDCS and fMRI Study
ClinicalTrials.gov study NCT02739789. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Differential neural processing during motor imagery of daily activities in chronic low back pain patients
Open the record for dataset details and reuse information.
Data from: Stimulus background influences phase invariant coding by correlated neural activity
Open the record for dataset details and reuse information.
Average neural activity patterns for safe and risky offers
Open the record for dataset details and reuse information.
Data from: Neural activation following offensive aggression in Japanese quail
Open the record for dataset details and reuse information.
Autofluorescence is a biomarker of neural stem cell activation state [Hippocampus]
GEO Series GSE223092. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Microarray analyses that reveal the population of dendritic RNAs and their redistribution by neural activity
GEO Series GSE6499. Rattus norvegicus. 4 samples. Type: Expression profiling by array.
Loss of Uhrf1 in neural stem cells leads to activation of retroviral elements and delayed neurodegeneration [E16VZ]
GEO Series GSE84547. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Microproteins Simba1 and Simba2 Activate Wingless Signaling during the Reactivation of Neural Stem Cells in Drosophila
GEO Series GSE290649. Drosophila melanogaster. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.