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235
datasets available to search
ShareScore release 0.9.0
Dataset results
235 results for “Stimulus”
Audiovisual Stimulus During Urodynamics
ClinicalTrials.gov study NCT02670486. IPD Sharing: NO. Countries: 0. Publications: 0.
Study of EEG and Nasal Stimulus in Olfactory Disorders
ClinicalTrials.gov study NCT06589375. IPD Sharing: NO. Countries: 0. Publications: 0.
Serum microRNA expression prior to motion sickness stimulus
GEO Series GSE206921. Homo sapiens; synthetic construct. 15 samples. Type: Non-coding RNA profiling by array.
The Myonuclear DNA Methylome in Response to an Acute Hypertrophic Stimulus
GEO Series GSE144774. Mus musculus. 7 samples. Type: Methylation profiling by high throughput sequencing.
Reversal of Flow-Direction is A Critical Mechanical Stimulus for Full Activation of Endothelial Arteriogenesis Signaling Pathways
GEO Series GSE46248. Homo sapiens. 12 samples. Type: Expression profiling by array.
H3K9 trimethylation in active compartments optimizes stimulus-regulated transcription by restricting usage of CTCF sites in SINE-B2 repeats [ChIP-Seq]
GEO Series GSE189971. Mus musculus. 36 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Functional Immunophenotyping of Children with Critical Status Asthmaticus Identifies Differential Gene Expression Responses in Neutrophils Exposed to a Poly(I:C) Stimulus
GEO Series GSE205151. Homo sapiens. 144 samples. Type: Expression profiling by array.
LEAFY target genes reveal a link between flower development and biotic stimulus response (III)
GEO Series GSE28062. Arabidopsis thaliana. 8 samples. Type: Expression profiling by array.
Impact of a pro-inflammatory stimulus on the miRNA composition of extracellular vesicles (EV) from stem cells from apical papilla (SCAP)
GEO Series GSE208577. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Visual experience-dependent expression of Fn14 is required for retinogeniculate refinement (stimulus single nucleus RNA-Seq)
GEO Series GSE117020. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
TGF-β Signalling Drives Chemotaxis of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Response to MI Stimulus
GEO Series GSE317615. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Visual experience-dependent expression of Fn14 is required for retinogeniculate refinement (stimulus RNA-Seq)
GEO Series GSE117021. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Cognitive evoked potentials based on auditory presentations of a stimulus
<p>This database contains calculated evoked potentials from EEG data of subjects taking a cognitive test. For each EEG channel of each subject, the evoked potential was calculated separately for all stimulus presentations. For each subject, the corresponding folders contain the calculated evoked potentials for the EEG channels in separate files. Each potential has a duration of 3.4 seconds. A description of the EEG setup, subjects, and experimental design is provided below.</p><p>Data were recorded at 250 Hz sampling rate using the conventional monopolar method of registration with two reference points and N = 21 electrodes, located according to the "10–20" scheme. The adhesive Ag/AgCl electrodes in prewired head caps were used to detect EEG signals. Two reference electrodes, A1 and A2, were located on mastoids, while the ground electrode N was placed above the forehead. The EEG signals were filtered by a band-pass filter with cutoff points at 1.5 Hz (HP) and 35 Hz (LP) and a 50 Hz notch filter.</p><p>Children of middle school age participated as study subjects. The biomedical data were processed honoring the confidentiality and anonymity of the study respondents. Experimental work was carried out in compliance with ethical standards and approved by the local committee on research ethics at Saratov State University (Saratov, RF). Prior to the study, written consent of the parents was obtained for conducting neuropsychological experimental work, the subsequent data processing and publication of the results. The parents were present during all experiments in accordance with the requirements of the Russian Federation legislation.</p><p>The following design of experimental work was employed. All experiments were conducted in the mornings, on a typical school day. One of the classrooms was darkened with blinds. Children sat in comfortable chairs, adjusted to their heights to attain a comfortable stable position, leaning back in the chair. Their feet were flat on the floor. The total experimental work time was approximately 25 minutes for each subject.</p><p>The experiment included three short stages: background state of quiet wakefulness with eyes closed (about 3 minutes), simple cognitive test for counting sound signals (about 20 minutes), and repeated background state of quiet wakefulness with eyes closed (about 2 minutes). During the cognitive test, groups of short sounds were given: one to four per group. During listening, the subject was instructed to determine whether he perceived an even or an odd number of sounds in a single stimulus group. Depending on his assessment, the subject pressed the left or right buttons of a special remote control. Between groups of sound signals there was a silent pause lasting 5 to 11 seconds. Each child was analyzing these sound stimuli for 3 minutes, followed by a rest break lasting about 2 minutes.</p><p>The experimental work involved 4 boys 10 years of age (123,2±5,1 months). All children belonged to the health group I the Order of the Ministry of the Russian Federation Healthcare of March 13, 2019, No. 124n. They had no infectious or other acute illnesses one month prior to the experiment. Additionally, all children had no identified chronic diseases.</p>
Cognitive evoked potentials based on visual presentation of a stimulus
<p>This database contains calculated evoked potentials based on EEG data from subjects taking a cognitive test. For each EEG channel of each subject, the evoked potential was calculated separately for all stimulus presentations. For each subject, the corresponding folders in separate files contain the calculated evoked potentials for the EEG channels. Each potential has a duration of 3.4 seconds. In addition to the evoked potentials constructed from all presentations, which are located in files of the form "i_pot.dat", where i is the channel number. Potentials were calculated separately for simpler presentations, when 3 or 4 squares were presented, which are located in files of the form "i_pot_4.dat". And more complex presentations, when 7 or 8 squares were presented, which are in files of the form "i_pot_8.dat". A description of the EEG setup, subjects, and experimental design is provided below.</p><p>Test subjects volunteered to participate in the experiment. The biomedical data were processed honoring the confidentiality and anonymity of the study respondents. All procedures in studies involving human participants were conducted in accordance with the principles of the Declaration of Helsinki and approved by the Research Ethics Committee at Saratov State Medical University. Written informed consent was given by all participants. The participants were diagnosed in compliance with the diagnostic criteria of the International Classification of Headache Disorders (ICHD-3, beta version). We used the migraine questionnaire to evaluate the data on migraine attacks and disease courses. The exclusion criteria were acute headache, other neurological disorders, and intake of medicines targeting the central nervous system (including medications for migraine prophylaxis) within the preceding 24 h, as well as a Beck Depression Inventory (BDI) score >12 points. The sample comprised 24 subjects.</p><p>The study group included patients with chronic and recurrent migraine. The subjects had no other serious health problems, or drug or alcohol addictions. Patients were 27–66 years of age.</p><p>During all experiments, the multichannel EEG data were recorded using the EEG recorder Encephalan-EEGR-19/26 (Medicom MTD, Taganrog, Russian Federation). The data were recorded at a sampling rate of 500 Hz using the conventional monopolar recording technique with two reference electrodes and multiple recording electrodes (n = 31). EEG signals were obtained using special headcaps with prewired Ag/AgCl adhesive electrodes. Two reference electrodes, A1 and A2, were located on the mastoid processes, and the ground electrode (N) was placed above the forehead. EEG signals were filtered using a bandpass filter with cutoff frequencies of 0.5 Hz (high pass filter) and 30 Hz (low pass filter), and a notch filter of 50 Hz. The experiments were carried out in the early afternoon hours at a specially equipped laboratory. During monitoring, the subjects were in a comfortable reclining position in a neurophysiological chair with support for the neck and the back of the head in order to avoid the occurrence of artifacts associated with muscle tension in these areas. The neuropsychological experiment allowed for distinguishing cognitive ERPs. At the beginning and end of the experiment, passive wakefulness was recorded for 10 min each time. In between, the active part of the experiment was recorded for ~40 min. During the active part, short presentations of visual stimuli were delivered in a pseudorandom sequence. For all subjects, the order of stimulus presentation, duration of stimulus presentation, and duration of pauses between stimuli were identical. Each subject observed 350 stimuli. The stimulus was presented for 0.4–0.8 s. After its presentation, during a pause until the next stimulus, the subject saw solely a gray screen. After each stimulus presentation, 0.5 s of the EEG recording was used to build the EP; then 2–10 s were given to rest after the response to the stimulus. Each visual stimulus per se was an image with a different number of squares (3–8). The task of the subject was to estimate an even or odd number of squares and make a choice by pressing one of two buttons on the remote control.</p>
Differential Gene Expression of Enriched Germ Cells Responding to a Short Heat Stimulus
GEO Series GSE7954. Sus scrofa. 6 samples. Type: Expression profiling by array.
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.