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3,264
datasets available to search
ShareScore release 0.9.0
Dataset results
3,264 results for “FAST”
Expression data from the liver of wild-type and Cnot3+/- mice: Fed vs Fasted
GEO Series GSE18925. Mus musculus. 6 samples. Type: Expression profiling by array.
ChIP-seq analysis of H3K9me3 signal from T-ALL cell line (Jurkat) upon fast CXCL12 stimulation
GEO Series GSE162605. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Transcriptional response of rat skeletal muscle to prolonged fasting
GEO Series GSE149829. Rattus norvegicus. 9 samples. Type: Expression profiling by array.
Vertical sleeve gastrectomy triggers fast β-cell recovery upon overt diabetes
GEO Series GSE174194. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Effect of fasting on human skeletal muscle mRNA levels
GEO Series GSE28016. Homo sapiens. 14 samples. Type: Expression profiling by array.
Diurnal regulation of RNA polymerase III transcription is under the control of both feeding-fasting response and circadian clock [ChIP-Seq]
GEO Series GSE89833. Mus musculus. 100 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Effects of intermittent fasting on the cognitive impairment in Alzheimer's disease mice: the roles of the gut brain axis regulation mechanism
GEO Series GSE164461. Mus musculus. 55 samples. Type: Expression profiling by high throughput sequencing.
The nuclear Bile Acid Receptor FXR is a PKA- and FOXA2- sensitive Activator of Fasting Hepatic Gluconeogenesis [modulated FOXA2/FXR]
GEO Series GSE113549. Mus musculus. 24 samples. Type: Expression profiling by array.
Fasting-induced FGF21 signaling activates hepatic autophagy and lipid degradation via JMJD3 histone demethylase
GEO Series GSE138157. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Hepatic gene expression profiles during fed–fasted–refed state in mice [miRNA-seq]
GEO Series GSE225696. Mus musculus. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Pharmacologic Inhibition of Epidermal Growth Factor Receptor Suppresses Non-alcoholic Fatty Liver Disease in Murine Fast-food Diet Model
GEO Series GSE130528. Mus musculus. 6 samples. Type: Expression profiling by array.
Fasting boosts breast cancer therapy efficacy via glucocorticoid activation
GEO Series GSE260486. Homo sapiens. 85 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Figure 2 in Tyrannosaurus was not a fast runner
Figure 2 Limb orientation used for model Trex_1. The values of mi, the percentage of body mass as extensor muscle acting about each joint (muscle moment action shown as a red arrow) required to maintain static equilibrium at midstance during fast running are shown in red. Actual hindlimb bones were digitized from Tyrannosaurus specimen MOR 555 (Museum of the Rockies; Boseman, Montana).
Figure 3 in Tyrannosaurus was not a fast runner
Figure 3 Estimated extensor muscle mass (T, as a percentage of body mass per leg) required to run quickly. Data are from various models and extant species plotted against log(mbody) to illustrate the scaling of T. Larger runners need a larger fraction of their body allocated to extensor muscle mass.Three shades of grey indicate the likelihood of running ability, based on estimated T. Very low estimated T implies a good chance of being a capable runner. Very high estimated T signals little chance of being a capable runner. Intermediate values of estimated T are inconclusive, and running ability in this case depends on the ratio of actual extensor muscle mass to T. Values of T greater than 50% per leg, or greater than 100% in total, are impossible.The solid line represents the case of scaling a chicken isometrically up to 6,000 kg.
Fast Wavenet - Non-overfitting Results - Speech - Different Speaker
<p>The result is predicted by Fast Wavenet.</p>
Fast Wavenet - Overfitting Results - Speech
<p>The result is predicted by Fast Wavenet.</p>
Fast Wavenet - Non-overfitting Results - Speech
<p>The result is predicted by Fast Wavenet.</p>
FIGURE 2 in How Fast Could Tyrannosaurus rex Run?
FIGURE 2. ESTIMATED EXTENSOR MUSCLE MASS per leg needed to run fast, as a fraction of total body mass. Larger animals need relatively more leg muscle to run. This dependence is illustrated by the solid line, calculated for a chicken scaled up to the size of T. rex. For several models of T. rex anatomy, the estimates (red) all require more leg muscle for running fast than the creature was likely to have had (orange dot). (Adapted from ref. 6.)
Figure 2 in Tyrannosaurus was not a fast runner
Figure 2 Limb orientation used for model Trex_1. The values of mi, the percentage of body mass as extensor muscle acting about each joint (muscle moment action shown as a red arrow) required to maintain static equilibrium at midstance during fast running are shown in red. Actual hindlimb bones were digitized from Tyrannosaurus specimen MOR 555 (Museum of the Rockies; Boseman, Montana).
Dataset from: Wetzel, N., Widmann, A., Scharf, F., "Learning to focus: Distraction of attention by novel sounds in children declines fast"
<p>New task-irrelevant sounds can distract attention. This study specifies the impact of stimulus novelty and of learning on attention control in three groups of children aged 6–7, 8, and 9–10 years and an adult control group. Participants (N=179) were instructed to ignore a sound sequence including standard sounds and novel or repeated distractor sounds, while performing a visual categorization task. Distractor sounds impaired performance in children more than in adult controls, demonstrating the long-term development of attention control. Children, but not adults, were more distracted by novel than by repeated sounds, indicating increased sensitivity to novel information. Children, in particular younger children, were highly distracted during the first presentations of novel sounds compared to adults, while no age differences were observed for the last presentations. Results highlight the age-related impact of auditory novel information on attention and characterize the rapid development of attention control mechanisms as a function of age and exposure to irrelevant novel sounds.</p> <p> </p> <p>The dataset contains the raw data for all completed recordings (csv format; including a description of filenames and columns) and the single trial preprocessed data as used for data analysis (csv format; including a description of preprocessing and columns). For further reference and specifications please also refer to the original publication in Scientific Reports.</p>
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.