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450
datasets available to search
ShareScore release 0.9.0
Dataset results
450 results for “Spatio-temporal”
Spatio-temporal transcriptome maps in the early embryos of Oikopleura dioica
GEO Series GSE139330. Oikopleura dioica. 67 samples. Type: Expression profiling by high throughput sequencing.
Spatio-temporal regulation of circular RNA expression during porcine embryonic brain development
GEO Series GSE71832. Sus scrofa. 14 samples. Type: Expression profiling by high throughput sequencing.
Spatio-temporal transcriptome maps in the early embryos of Halocynthia roretzi
GEO Series GSE195613. Halocynthia roretzi. 24 samples. Type: Expression profiling by high throughput sequencing.
Cell-specific and spatio-temporal controls of the estrogen-responsive trefoil factor (TFF) locus activity.II.
GEO Series GSE23850. Homo sapiens. 18 samples. Type: Expression profiling by genome tiling array.
Retinoic acid, an essential component of the RP organizer, promotes the spatio-temporal segregation of dorsal neural fates
GEO Series GSE261603. Coturnix japonica. 2 samples. Type: Expression profiling by high throughput sequencing.
A spatio-temporal characterization of the transcriptional landscape of epidermal development
GEO Series GSE75931. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Spatio-temporal chromosomal arrangements by late-replicating heterochromatin
GEO Series GSE299498. Cryptococcus neoformans. 6 samples. Type: Other.
Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing
GEO Series GSE243943. Mus musculus. 127 samples. Type: Methylation profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing [RNA-seq]
GEO Series GSE243942. Mus musculus. 125 samples. Type: Expression profiling by high throughput sequencing.
DeepND - Spatio-temporal Brain Co-Expression Networks
<p>DeepND - Spatio-temporal Brain Co-Expression Networks</p>
Spatio-temporal variability among loggerhead turtle, Caretta caretta strandings off southern Brazil
<p>This package contains data and R code for the models of the article Fonseca et al. "Spatio-temporal variability among loggerhead turtle, <em>Caretta caretta</em> strandings off southern Brazil", accepted for publication at ICES Journal of Marine Science. Datasheet "Carettacaretta_strandings_Fonsecaetal2024.csv" contains stranding assessment, necropsy, and biometric information per individual (i.e. Date and time of recording, sex, development stage, size, interaction with anthropogenic activities). All <em>C. caretta </em>stranding data are publicly available in the “Sistema de Informação de Monitoramento da Biota Aquática - SIMBA 1.0.0” platform at <a href="https://simba.petrobras.com.br/simba/web/sistema/" target="_blank" rel="noopener">https://simba.petrobras.com.br/simba/web/sistema/</a>. The specific datasets used in this work can be accessed at:</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/1/individualfaunaoccurrence/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/1/necropsy/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/1/biometric/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/2/individualfaunaoccurrence/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/2/necropsy/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/2/biometric/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/7/individualfaunaoccurrence/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/7/necropsy/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/7/biometric/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/8/individualfaunaoccurrence/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/8/necropsy/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/8/biometric/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/9/individualfaunaoccurrence/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/9/necropsy/</p> <p>https://simba.petrobras.com.br/simba/web/sistema/pmp/9/biometric/</p>
Spatio-temporal Evolution of Near-field Deformation in Analogue Strike-slip Fault Models with Various Locked Segments Length
Open the record for dataset details and reuse information.
The Relationship Between Plantar Fascia and Achilles Tendon Thickness Asymmetry and Spatio-temporal Parameters of Gait
ClinicalTrials.gov study NCT05976542. IPD Sharing: NO. Countries: 0. Publications: 0.
Profiling of spatio-temporally regulated transcripts during cerebral corticogenesis in the mouse
GEO Series GSE15031. Mus musculus. 12 samples. Type: Expression profiling by SAGE.
Deciphering the spatio-temporal transcriptional and chromatin accessibility of human retinal organoid development at the single cell level [Spatial Transcriptomics]
GEO Series GSE235583. Homo sapiens. 24 samples. Type: Other.
Comprehensive assembly and spatio-temporal analysis of the C. elegans 3' UTRome through isolation and sequencing of 3'UTRs in germline-dereived cell types and somatic tissues.
GEO Series GSE33431. Caenorhabditis elegans. 4 samples. Type: Expression profiling by high throughput sequencing.
Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq]
GEO Series GSE166225. Mus musculus. 288 samples. Type: Expression profiling by high throughput sequencing.
Tracking spatio-temporal dynamics of the endothelial niche during fetal hematopoiesis
GEO Series GSE229427. Mus musculus. 216 samples. Type: Expression profiling by high throughput sequencing.
Deciphering the spatio-temporal transcriptional and chromatin accessibility of human retinal organoid development at the single cell level [scRNA-Seq]
GEO Series GSE235582. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Consistency of spatio-temporal patterns of avian migration across the Swiss lowlands
<p>Data used for the publication entitled <em>'Consistency of spatio-temporal patterns of avian migration across the Swiss lowlands'</em> published in <em>Remote Sensing in Ecology and Conservation</em> (<a href="https://doi.org/10.1002/rse2.143">https://doi.org/10.1002/rse2.143</a>).</p> <p><strong>Files</strong></p> <p><strong>========================================================</strong></p> <p><strong>BTR_ATMO.csv</strong>: table containing daily / nightly aggregated ornithological radar and weather data.</p> <p>Headers are (see publication and supplementary information for more details on these variables:</p> <ul> <li><em>site</em>: location of the radar or weather data respectively (<em>GEN</em> = Geneva, <em>SEM</em> = Sempach, <em>WNT</em> = Winterthur)</li> <li><em>season</em>: spring or autumn migration period</li> <li><em>date</em>: date (yyyy-mm-dd)</li> <li><em>dayOrNight</em>: day or night according to civil twilight</li> <li><em>BTR</em>: Bird Traffic Rate per day / night (birds km<sup>-1</sup> h<sup>-1</sup>)</li> <li><em>rho</em>: directional concentration per day / night</li> <li><em>rho.N</em>: number of echoes with information on bird flight direction per day / night</li> <li><em>windprofit</em>: average wind profits per day / night (m s<sup>-1</sup>)</li> <li><em>temp</em>: average temperature per day / night (°C)</li> <li><em>dTemp</em>: 24-h change in average temperature per day / night (°C day<sup>-1</sup>)</li> <li><em>pres</em>: average barometric pressure per day / night (hPa)</li> <li><em>dPres</em>: 24-h change in average barometric pressure per day / night (hPa day<sup>-1</sup>)</li> <li><em>precDurProp</em>: proportion of the day / night with precipitation</li> </ul> <p><strong>========================================================</strong></p> <p><strong>========================================================</strong></p> <p><strong>ECHO.csv</strong>: table containing bird echoes with information on the flight direction that were registered during short pulse mode and within 50 to 1500 meters above ground level.</p> <p>Headers are:</p> <ul> <li><em>site</em>: location of the radar or weather data respectively (<em>GEN</em> = Geneva, <em>SEM</em> = Sempach, <em>WNT</em> = Winterthur)</li> <li><em>season</em>: spring or autumn migration period</li> <li><em>datetime</em>: timestamp of echo</li> <li><em>dateSunset</em>: date and time of civil dawn</li> <li><em>dayOrNight</em>: whether timestamp occurs during day or night based on civil twilight</li> <li><em>altitude</em>: bird flight altitude (meters above ground level)</li> <li><em>direction</em>: bird flight direction (degrees from north clockwise)</li> <li><em>speed</em>: bird ground speed (m s-1)</li> </ul> <p><strong>========================================================</strong></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.