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.
274
datasets available to search
ShareScore release 0.9.0
Dataset results
274 results for “wakes”
Circadian VIPergic neurons of the suprachiasmatic nuclei sculpt the sleep-wake cycle
GEO Series GSE154038. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Transcription feedback dynamics in the wake of cytoplasmic degradation shutdown
GEO Series GSE196937. Saccharomyces cerevisiae. 344 samples. Type: Expression profiling by high throughput sequencing.
Sleep-wake driven and circadian contributions to daily rhythms in gene expression and chromatin accessibility in the murine cortex
GEO Series GSE140345. Mus musculus. 123 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Vortex interaction in the wake of a two- and three-bladed wind turbine
<p>Here, the rotor design specifications + experimental results from the article "Vortex interaction in the wake of a two- and three-bladed wind turbine" (Journal of Physics, Conference Series, EERA Deepwind 2020) authored by Jan Bartl, Thomas H. Hansen, W. Ludwig Kuhn, Franz Mühle and Lars Sætran are documented.</p>
Towed chain datasets and input files for simulations used in the manuscript "Increased mixing and turbulence in the wake of offshore wind farm foundations"
<p><strong>Contents</strong></p> <p>1. File S01_S12 Input files for simulations (precursor runs and main runs)</p> <p>2. File S13 Topography file for simulations with monopile</p> <p>2. Data sets ds01 to ds06 (towed chain data collected in May 25, 2015)</p> <p>3. Data sets ds07 to ds14 (towed chain data collected in July 19, 2017)</p> <p>4. Data sets d15 to ds16 (ADCP data collected in May 25, 2015 and July 19, 2017)</p> <p><strong>Introduction </strong></p> <p>This package contains the input parameters used in each of the precursor (S01 - S04) and main runs (S05 - S12) presented in the manuscript “Increased mixing and turbulence in the wake of offshore wind farm foundations”. These input files are found in the PDF file "S01_S12".</p> <p>The main runs, in which the wake of a monopile was simulated (S05, S07, S09, S11), require a topography file, which is a NETCDF-file that has been uploaded separately (S13). All simulations were run using the Parallelized Large-Eddy Simulation Model for atmospheric and oceanic flows (PALM, version 4.0, revision 2504).</p> <p>Further, this package contains the data sets collected using the towed chain in 2015 (ds01-ds06, ds15) and 2017 (ds07-ds14, ds16), which have been uploaded as separate NETCDF-files.</p>
Sleep–wake-driven and circadian contributions to daily rhythms in gene expression and chromatin accessibility in the murine cortex
<p>Dataset associated with Hor et al PNAS 2019 (<a href="https://www.pnas.org/content/116/51/25773">https://www.pnas.org/content/116/51/25773</a>) and code (<a href="https://github.com/jakeyeung/SleepDepAnalysis">https://github.com/jakeyeung/SleepDepAnalysis</a>).</p> <p>It specifically includes "dat_combat_countsfilt.5.5.Robj" which is a 102 MB file which exceeds limits on github.</p> <p> </p> <p> </p>
On the detection of stellar wakes in the Milky Way: a deep learning approach
<p>The machine learning dataset used in the work of "On the detection of stellar wakes in the Milky Way: a deep learning approach". The .tar contains .h5 files for four different subhalo target masses such that each file is generated from a unique simulation seed. Each file contains data from a single simulation run and is comprised of 100 samples which are generated by sampling 1% of all star particles from a particular simulation snapshot. Prior to sampling particles, we split the simulation box into three equal slices in the Z-coordinate and bin the data onto the X-Y plane with 32 bins on each axis. Each sample is then characterised by a 2D histogram of shape (32, 32, 12) with the last dimension containing the training features which are the overdensity, mean X-Y velocity, X-Y velocity dispersion and divergence in X-Y for the three Z-slices.</p>
The Impact of Light, Electrical, and Magnetic Neuroregulation Interventions on Sleep-wake Disorders
ClinicalTrials.gov study NCT06797284. IPD Sharing: Not stated. Countries: 1. Publications: 0.
WaKING: Wnt and checKpoint INhibition in Gastric Cancer
ClinicalTrials.gov study NCT04166721. IPD Sharing: YES. Countries: 1. Publications: 0.
Effect of a Single Nights' Wake Followed by Bright Light Therapy for Severe Depression
ClinicalTrials.gov study NCT02503124. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Effects of Caffeine on Sleep-wake Regulation in Teenagers
ClinicalTrials.gov study NCT04321785. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Attitudes and Knowledge Regarding Clinical Trials in Underserved Populations Receiving Care at the Comprehensive Cancer Center of Wake Forest University
ClinicalTrials.gov study NCT02444754. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sleep-wake Changes of Luteinizing Hormone Frequency in Pubertal Girls With and Without High Testosterone
ClinicalTrials.gov study NCT00930007. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Evolution of Memories Across Wake and Sleep
ClinicalTrials.gov study NCT03227406. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Characterization of the Sleep-Wake Cycle in Traumatic Brain Injury Patients with a Disorder of Consciousness
ClinicalTrials.gov study NCT06766513. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Study to Determine the Signs and Symptoms That Impact Daily Life of Participants With Irregular Sleep-Wake Rhythm Disorder
ClinicalTrials.gov study NCT04300569. IPD Sharing: YES. Countries: 1. Publications: 0.
Relationship Between Sleep-Wake Quality and Nocturnal Medical Orders
ClinicalTrials.gov study NCT07288775. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
An Evaluation of Actigraphy as an Indicator of Sleep and Wake in Children
ClinicalTrials.gov study NCT00928993. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Registration of Skin-Temperatures and Sleep-Wake Behaviour
ClinicalTrials.gov study NCT00319371. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Tasimelteon for the Treatment of Non-24-hour Sleep-Wake Disorder (N24HSWD) in Blind Individuals With no Light Perception
ClinicalTrials.gov study NCT01429116. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.