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.
6,002
datasets available to search
ShareScore release 0.7.1
Dataset results
6,002 results for “sleep”
Reward biases spontaneous neural reactivation during sleep
Open the record for dataset details and reuse information.
Dataset of The distinct influence of different maternal mental health symptom profiles on infant sleep during the first year postpartum: a cross-sectional survey
<p>The distinct influence of different, but comorbid, maternal mental health difficulties, such as postpartum depression, anxiety, or childbirth-related posttraumatic stress disorder (CB-PTSD) on infant sleep is unknown, although maternal mental health was reported to be associated with infant sleep. This paper first aimed to associations between maternal mental health symptoms and infant sleep. Second, it aimed to exploratory obtain maternal mental health symptom profiles from maternal mental health symptoms. Finally, it aimed to investigate the distinct influence of these maternal mental health symptom profiles on infant sleep, when including mediators (i.e., maternal perception of infant temperament and method to fall asleep) and moderators (maternal educational level and infant age).</p> <p>This dataset contains data on the mental health (i.e., CB-PTSD, depression, anxiety) of 410 mothers with an infant aged between 3 to 12 months old. Information on infant sleep and temperament (negative emotionality) was collected via standardised maternal-report questionnaires (City BiTS, EPDS, HADS, BISQ, and IBQ-R very short form). Sociodemographic data such as maternal age, marital status, educational level, infant age, and week of gestation are reported.</p> <p>This dataset is related to: Sandoz, V.; Lacroix, A.; Stuijfzand, S.; Bickle Graz, M.; Horsch, A. Maternal Mental Health Symptom Profiles and Infant Sleep: A Cross-Sectional Survey. <em>Diagnostics</em> <strong>2022</strong>, <em>12</em>, 1625. https://doi.org/10.3390/diagnostics12071625. </p>
The Stockholm Sleepy Brain Study: Effects of Sleep Deprivation on Cognitive and Emotional Processing in Young and Old
Open the record for dataset details and reuse information.
Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells
<p>Raw data of the publication "Enhanced Biosafety of the Sleeping Beauty Transposon System by Using mRNA as Source of Transposase to Efficiently and Stably Transfect Retinal Pigment Epithelial Cells".</p> <p>Abstract: Neovascular age-related macular degeneration (nvAMD) is characterized by choroidal<br> neovascularization (CNV), which leads to retinal pigment epithelial (RPE) cell and photoreceptor<br> degeneration and blindness if untreated. Since blood vessel growth is mediated by endothelial cell<br> growth factors, including vascular endothelial growth factor (VEGF), treatment consists of repeated,<br> often monthly, intravitreal injections of anti-angiogenic biopharmaceuticals. Frequent injections are<br> costly and present logistic difficulties; therefore, our laboratories are developing a cell-based gene<br> therapy based on autologous RPE cells transfected ex vivo with the pigment epithelium derived factor<br> (PEDF), which is the most potent natural antagonist of VEGF. Gene delivery and long-term expression<br> of the transgene are enabled by the use of the non-viral Sleeping Beauty (SB100X) transposon system<br> that is introduced into the cells by electroporation. The transposase may have a cytotoxic effect and a<br> low risk of remobilization of the transposon if supplied in the form of DNA. Here, we investigated<br> the use of the SB100X transposase delivered as mRNA and showed that ARPE-19 cells as well as<br> primary human RPE cells were successfully transfected with the Venus or the PEDF gene, followed<br> by stable transgene expression. In human RPE cells, secretion of recombinant PEDF could be detected<br> in cell culture up to one year. Non-viral ex vivo transfection using SB100X-mRNA in combination<br> with electroporation increases the biosafety of our gene therapeutic approach to treat nvAMD while<br> ensuring high transfection efficiency and long-term transgene expression in RPE cells.</p>
Divergent evolution of sleep functions - Joyce et al 2024 Dataset - Part 1 of 4
<p>This is the full experimental dataset associated to "Divergent evolution of sleep functions" by Joyce et al 2024, Nature Communications. See https://lab.gilest.ro/papers/divergent-evolution-of-sleep-functions/ for more information.</p> <p>The dataset contains 86 zip files for a total of about 170GB. Once uncompressed, they will explode 622 ethoscope db files for a total of 330Gb, covering behavioural analysis of more than 11.000 animals. These are the RAW data as collected from the ethoscopes. A separate zip archive with all the R/Python scripts and the metadata is also provided. This also contains confocal images for BRP analysis.</p> <ul> <li>Part 1 of 4: <a href="https://doi.org/10.5281/zenodo.10554851" target="_blank" rel="noopener">10.5281/zenodo.10554851 (this page) </a></li> <li>Part 2 of 4: <a href="https://doi.org/10.5281/zenodo.10557238" target="_blank" rel="noopener">10.5281/zenodo.10557238</a></li> <li>Part 3 of 4: <a href="https://doi.org/10.5281/zenodo.10557310" target="_blank" rel="noopener">10.5281/zenodo.10557310</a></li> <li>Part 4 of 4: <a href="https://doi.org/10.5281/zenodo.10966461" target="_blank" rel="noopener">10.5281/zenodo.10966461 </a></li> </ul>
SAAM Sleep Coaching User Feedback
<p>The data set was collected within the SAAM Project (Supporting Active Aging through Multimodal coaching, https://saam2020.eu/), and was used to develop a preference learning methodology with the aim of improving user's acceptance of coaching actions. The data set contains a set of sleep quality coaching actions and userćs feedback for each of them.</p>
Yannoulis Chalepas (Γιαννούλης Χαλεπάς), Sleeping Female Figure (Κοιμωμένη), 1878
<p><strong>Three-dimensional model of Sleeping Female Figure, by Yannoulis Chalepas.</strong></p> <p><em>Yannoulis Chalepas (</em><em>Γιαννούλης </em><em>Χαλεπάς), Sleeping Female Figure (</em><em>Κοιμωμένη), 1878, 77 x 178 x 76 cm<sup>3</sup>, 1st Cemetery of Athens.</em></p> <p>This dataset contains a textured 3D model of the sculpture "Sleeping Female Figure", by Yannoulis Chalepas. The "Sleeping Female Figure" was created by Yannoulis Chalepas in marble for the grave of eighteen-year-old Sofia Afentaki in the 1st Cemetery of Athens. The 3D model is encoded as a mesh of 1831256 textured triangular faces and 3660969 vertices, stored in the Wavefront Technologies OBJ format. The texture is encoded in four 8192 x 8192 pixel<sup>2</sup> images. An MP4 video file that renders texture and non-textured visualizations of the model is also provided.</p> <p>Yannoulis Chalepas (Greek: Γιαννούλης Χαλεπάς, August 14, 1851 – September 15, 1938) was a Greek sculptor from the Island of Tinos, Greece, a significant figure of Modern Greek Art, and a practitioner of Tinian marble craftsmanship (Inscription 10.COM 10.b.17 in the UNESCO Representative List of the Intangible Cultural Heritage of Humanity, <a href="https://ich.unesco.org/en/RL/tinian-marble-craftsmanship-01103">https://ich.unesco.org/en/RL/tinian-marble-craftsmanship-01103</a>, <a href="https://ich.unesco.org/en/decisions/10.COM/10.B.17">https://ich.unesco.org/en/decisions/10.COM/10.B.17</a> )</p> <p>For any questions please contact Xenophon Zabulis at <a href="mailto:zabulis@ics.forth.gr">zabulis@ics.forth.gr</a></p>
Memory reactivation in slow wave sleep enhances relational learning
<p>EEG raw files in Brain Product format (3 files per participant). Sleep EEG recordings from healthy volunters under TMR stimulation. </p> <p>Two conditions: up-going slow oscillation stimulation / down-going oscillation stimulations</p> <p>Two type of sounds: experimental (they hear them before) and control (completely new)</p> <p>Triggers: 100-112 up experimental sounds / >112 up control sounds / 1-12 down experimetal sounds / 12-100 down control</p> <p>Please cite:</p> <p>"Memory reactivation in slow wave sleep enhances relational learning" ( https://doi.org/10.1101/2022.03.29.486197 )</p> <p> </p>
Related Works for the National Science Foundation of Sri Lanka and the National Sleep Foundation retrieved from the DataCite Commons.
<p>These data were retrieved in order to help understand the use of funder identifiers associated with common acronyms like NSF. They include the following fields: doi, registrationAgency, type, publisher, publicationYear, funderName, funderIdentifier, and awardNumber retrieved from DataCite Commons using the query</p> <div> <div>{organization(id: "' + ror + '") {id name works(first:2000) { totalCount pageInfo {endCursor hasNextPage} nodes {doi type registrationAgency {name} publisher {name} publicationYear fundingReferences {funderName funderIdentifier awardNumber}}}}}'</div> <div> </div> <div>The files are identifier with RORs:</div> <div><a href="../api/records/11116776/draft/files/00zc1hf95_relatedWorks_20240505_10.csv/content" target="_blank" rel="noopener noreferrer">00zc1hf95_relatedWorks_20240505_10.csv</a> are data for the National Sleep Foundation</div> <div><a href="../api/records/11116776/draft/files/010xaa060_relatedWorks_20240505_10.csv/content" target="_blank" rel="noopener noreferrer">010xaa060_relatedWorks_20240505_10.csv</a> are data for the National Science Foundation of Sri Lanka</div> <div> </div> <div>A blog post describing this work is at https://metadatagamechangers.com/blog/2024/4/12/funder-acronyms-are-still-not-enough</div> <div> </div> </div>
Effects of sleep restriction and light intensity on mental effort during cognitive challenge Study 2
<p>This repository contains the data of Study 2 of the manuscript "Effects of sleep restriction and light intenisty on mental effort during cognitive challenge" by Larissa Wüst and Ruta Lasauskaite.</p>
Sleep and Dream Database
<p>This repository duplicates the entire <a href="https://sleepanddreamdatabase.org" target="_blank" rel="noopener">Sleep and Dream Database (SDDb)</a>, a public collection of dream reports. The purpose of this repository is (a) to provide a convenient access point for the dream reports, and (b) to provide a system of SDDb version control so that analysis of these dream reports can be replicated even when the official SDDb undergoes modifications. It contains all SDDb dream reports <em>as of the date of download</em> (see "Dates" section of this repository). No additional processing was applied.</p>
Dautan et al 2024 " Gut-Initiated Alpha Synuclein Fibrils Drive Parkinson's Disease Phenotypes: Temporal Mapping of non-Motor Symptoms and REM Sleep Behavior Disorder"
<p><span>Parkinson’s disease (PD) is characterized by progressive motor as well as less recognized non-motor symptoms that arise often years before motor manifestation, including sleep and gastrointestinal disturbances. Despite the heavy burden on the patient’s quality of life, these non-motor manifestations are poorly understood. To elucidate the temporal dynamics of the disease, we employed a mice model involving injection of alpha-synuclein (αSyn) pre-formed fibrils (PFF) in the duodenum and antrum as a gut-brain model of Parkinsonism. Using anatomical mapping of αSyn PFF propagation and behavioral and physiological characterizations, we unveil a correlation between post-injection time the temporal dynamics of αSyn propagation and non-motor/motor manifestations of the disease. We highlight the concurrent presence of aggregates in key brain regions, expressing acetylcholine or dopamine and their functions in sleep duration, wakefulness, and particularly REM-associated atonia corresponging to REM behavioral disorder-like symptoms. This study presents a novel and in-depth exploration into the multifaceted nature of PD, unraveling the complex connections between α-synucleinopathies, gut-brain connectivity, and the emergence of non-motor phenotypes.</span></p>
Closed-loop auditory stimulation targeting alpha and theta oscillations during REM sleep induces phase-dependent power and frequency changes
<p>This repository contains raw data, sleep scoring, and data to create the figures for the paper:</p> <p><strong>"Closed-loop auditory stimulation targeting alpha and theta oscillations during REM sleep induces phase-dependent power and frequency changes"</strong></p> <p>by Valeria Jaramillo, Henry Hebron, Sara Wong, Giuseppe Atzori, Ullrich Bartsch, Derk-Jan Dijk*, Ines R. Violante* (* contributed equally).</p> <p>Journal article has been published in SLEEP and can be found here: <a href="https://doi.org/10.1093/sleep/zsae193">https://doi.org/10.1093/sleep/zsae193</a></p> <p>Code can be found here: <a href="https://gitlab.surrey.ac.uk/nemo/RSN">https://gitlab.surrey.ac.uk/nemo/RSN</a></p> <p>Please cite as indicated under 'Citation' on this page.</p> <p>More information on the datafiles can be found in the README.</p>
Mobile Sleep Lab: Comparison of polysomnographic parameters with a conventional sleep laboratory
<div> <p><span><span> </span></span><span><span>In</span></span> <span><span>remote areas</span></span><span><span>,</span></span><span><span> visiting a laboratory for sleep testing</span><span> is inconvenient</span></span><span><span>.</span></span><span><span> We</span></span><span><span>,</span></span><span><span> therefore</span></span><span><span>,</span></span><span><span> developed a Mobile Sleep Lab in a bus powered by fuel cells with two sleep measurement chambers. As the environment in the bus could affect sleep, we examined whether sleep testing in the Mobile Sleep Lab was as </span><span>feasible</span><span> as in a conventional sleep laboratory (Human Sleep Lab). We tested 15 healthy adults for four nights using polysomnography (</span><span>the </span><span>first two nights at the Human Sleep Lab or Mobile Sleep Lab with a switch to the other facility for the next two nights). Sleep variables of the four measurements were used to assess the </span><span>discrepancy</span><span> of </span><span>different </span><span>place</span><span>s</span><span> or different nights.</span></span> <span><span>N</span><span>o </span><span>significant differences </span><span>were found </span><span>between the laboratories other than the percentage of total sleep time in stage N3. </span><span>Next, we analyzed the intraclass correlation coefficient to evaluate the test-retest reliability. The intraclass correlation coefficient between these two measurements</span></span><span><span>:</span></span><span><span> the Human Sleep Lab and Mobile Sleep Lab showed similar reliability for the same sleep variables. The intraclass correlation coefficient revealed that several sleep indexes, such as </span><span>total sleep time</span><span>, sleep efficiency, wake after sleep onset, percentage of stage N1, and stage R </span><span>latency, </span><span>showed </span><span>poor </span><span>reliabilit</span><span>ies (</span><span><0.5) based on Koo and Li’s criteria</span><span>. In contrast, the percentage of stage N3 showed </span><span>moderate</span></span><span><span> (</span></span><span><span>0.5–0.75</span><span>) or </span><span>good </span></span><span><span>(</span></span><span><span>0.75–0.9</span></span><span><span>) </span></span><span><span>reliabilit</span><span>ies</span></span><span><span>. </span></span><span><span>As </span><span>almost all</span><span> sleep variables </span><span>showed no difference </span><span>and same level of test-retest reliability</span></span> <span><span>between the </span><span>Mobile Sleep Lab </span><span>and </span><span>Human Sleep Lab</span></span><span><span>,</span> </span><span><span>the Mobile Sleep Lab might be suitable</span><span> for conducting polysomnography</span><span> as a conventional sleep laboratory. </span><span>The reduction in N3 in the Mobile Sleep Lab should be scrutinized in the larger sample, including sleep disorders</span></span><span><span>. </span></span><span><span>Practical</span><span> application of the Mobile Sleep Lab can transform sleep medicine in remote areas.</span></span><span> </span></p> </div>
Transparency dataset of "Noradrenergic circuit control of non-REM sleep substates"
<p>Raw transparency data file containing the information used the study “Noradrenergic circuit control of non-REM sleep substates” (Osorio-Forero, Cardis, Vantomme, Guillaume-Gentil, Katsioudi, Devenoges, Fernandez, Lüthi).</p> <p>Here you can find the raw data used for the effects of blockage of in-vivo or in-vitro noradrenergic signaling in the thalamus in sleep spindles clustering and cellular mechanisms. The effects on sleep spindles and sigma activity upon optogenetic stimulation of Locus coeruleus (LC) cells bodies, thalamic or somatosensory cortical LC terminals during non-rapid-eye movement sleep as well as the optogenetic inhibition of the LC bodies. Additionally, you can find the Information about the LC fiber density within the thalamus and somatosensory cortex. The effects on heart rate upon optogenetic stimulation of LC cell bodies is also included in the dataset. </p>
DATASET OF "Impact of short-acting vs. standard anaesthetic agents on obstructive sleep apnoea: a randomised, controlled, triple-blind trial"
<p>Sleep apnoea is associated with negative outcomes following general anaesthesia. Current recommendations suggest using short-acting anaesthetic agents in preference to standard agents to reduce this risk, but there is currently no evidence to support this. This randomised controlled triple-blind trial tested the hypothesis that a combination of short-acting agents (desflurane-remifentanil) would reduce the postoperative impact of general anaesthesia on sleep apnoea severity compared with standard agents (sevoflurane-fentanyl). Sixty patients undergoing hip arthroplasty under general anaesthesia were randomised to anaesthesia with desflurane-remifentanil or sevoflurane-fentanyl. Respiratory polygraphy was performed before surgery and on the first and third postoperative nights. The primary outcome was the supine apnoea-hypopnoea index on the first postoperative night. Secondary outcomes were the supine apnoea-hypopnoea index on the third postoperative night, and the oxygen desaturation index on the first and third postoperative nights. Additional outcomes included intravenous morphine equivalent consumption and pain scores on postoperative days 1, 2 and 3. Pre-operative sleep study data were similar between groups. Mean (95%CI) values for the supine apnoea-hypopnoea index on the first postoperative night were 18.9 (12.7–25.0) and 21.4 (14.2–28.7) events.h<sup>-1</sup>, respectively, in the short-acting and standard anaesthesia groups (p=0.64). Corresponding values on the third postoperative night were 28.1 (15.8–40.3) and 38.0 (18.3–57.6) events.h<sup>-1</sup> (p=0.34). Secondary sleep- and pain-related outcomes were generally similar in the two groups. In conclusion, short-acting anaesthetic agents did not reduce the impact of general anaesthesia on sleep apnoea severity compared with standard agents. These data should prompt an update of current recommendations.</p>
SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data
<p>This dataset includes three high-density sleep EEG recordings of healthy participants, downsampled to 250 Hz and stored in FIF format:</p> <ol> <li>Nap recording of a young adult participant</li> <li>Overnight recording of a young adult participant</li> <li>Overnight recording of an older adult participant</li> </ol> <p>Additionally, the dataset includes three text files for each recording:</p> <ul> <li>bad_channels.txt: Indexes of noisy channels</li> <li>annotations.txt: Onset and duration of noisy temporal intervals</li> <li>staging.txt: Sleep staging vector</li> </ul> <p>The corresponding package can be found on <a href="https://github.com/NirLab-TAU/sleepeegpy">GitHub.</a></p> <p>For citation, please use:<br>Falach, R., G. Belonosov, J. F. Schmidig, M. Aderka, V. Zhelezniakov, R. Shani-Hershkovich, E. Bar, and Y. Nir. "SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data." Computers in Biology and Medicine 192 (2025): 110232.<br><a href="https://doi.org/10.1016/j.compbiomed.2025.110232" rel="nofollow">https://doi.org/10.1016/j.compbiomed.2025.110232</a></p>
Temporal cluster-based organisation of sleep spindles underlies motor memory consolidation
<p><span>Sleep benefits motor memory consolidation, which is mediated by sleep spindle activity and associated memory reactivations during non-rapid eye movement (NREM) sleep. However, the particular role of NREM2 and NREM3 sleep spindles and the mechanisms triggering this memory consolidation process remai<span>n unclear. Here, sim</span>ultaneous electroencephalographic and functional magnetic resonance imaging (EEG-fMRI) recordings were collected during night-time sleep following the learning of a motor sequence task. Adopting a time-based clustering approach, we provide evidence that spindles iteratively occur within clustered and temporally organised patterns during both NREM2 and NREM3 sleep. However, the clustering of spindles in trains is related to motor memory consolidation during NREM2 sleep only</span><span>. Altogether</span><span>,</span><span> our findings suggest t</span><span>hat</span><span> spindles' clustering and </span><span>rhythmic occurrence </span><span>during NREM2 sleep may serve as an intrinsic rhythmic sleep mechanism for the timed reactivation and subsequent consolidation of motor memories, through synchronised oscillatory activity within a subcortical-cortical network involved during learning</span>.</p>
Data from: Sleep and subjective age: Protect your sleep if you want to feel young
<p>The current studies examined the impact of insufficient sleep and sleepiness on the subjective experience of age. Study 1, a cross-sectional study of 429 participants (282 females (66%), 144 males, 3 other; age range 18-70) showed that for each additional day of insufficient sleep in the last 30 days, subjective age increased by 0.23 years. Study 2, an experimental crossover sleep restriction study (N = 186; 102 females (55%); 84 males; age range 18-46) showed that two nights of sleep restriction (4h in bed/night) made people feel 4.44 years older compared to sleep saturation (9h in bed/night). Additionally, moving from feeling extremely alert (KSS score of 1) to feeling extremely sleepy (KSS score of 9) was associated with feeling 10 years older in both studies. These findings provide compelling support for insufficient sleep and sleepiness to exert a substantial influence on how old we feel, and that safeguarding sleep is likely a key factor in feeling young.<strong> </strong></p>
Scream's roughness grants privileged access to the brain during sleep. - audio files
<p>Audio files played during the experiment described in:</p> <pre>https://doi.org/10.5281/zenodo.8407716</pre> <p>Audio files are identified as follows: N_cond_X_st_Y.wav.</p> <p>X corresponds to the condition, where 1 represents a scream and 2 represents a neutral vocalization.</p> <p>Y corresponds to the identifier of the actor who produced the vocalization.</p> <p> </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.