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294
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ShareScore release 0.9.0
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294 results for “temporal pattern”
Figure 7 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 7. The percentage of singleton and doubleton species from the sampling period spring 2001 that are common in other locations (ground fauna, introduced species, another habitat), or during another sampling period (season, previous spring). Unknown fauna cannot be allocated an origin because they are never abundant in the total dataset (>29,000 specimens).
FIG. 1 in Spatial and temporal patterns of territorial mate locating behaviour in Hypolimnas bolina (L.) (Lepidoptera: Nymphalidae)
FIG. 1. Diel regimes of mean proportional shading along transect 1 (top) and transect 2 (bottom). Indicated are the average shading along the whole transect (open circles, solid line), and the average shading in male-occupied 10 m transect segments (open squares, dashed line).
Optic nerve crush induces spatial and temporal gene expression patterns in optic nerve of BALB/cJ mice
GEO Series GSE44705. Mus musculus. 12 samples. Type: Expression profiling by array.
MBD3 expression and DNA binding patterns are altered in a rat model of temporal lobe epilepsy
GEO Series GSE75458. Rattus norvegicus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Generation of cellular diversity through temporal patterning of radial glia during mouse corticogenesis I
GEO Series GSE276209. Mus musculus. 33 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Neocortical temporal patterning by a two-layered regulatory structure
GEO Series GSE204701. Mus musculus. 26 samples. Type: Other; Genome binding/occupancy profiling by high throughput sequencing.
Generation of cellular diversity through temporal patterning of radial glia during mouse corticogenesis II
GEO Series GSE298892. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Temporal gene expression patterns (Next Generation Sequencing) in liver tumourigenesis of hepatocyte-specific deletion of shp2 and/or pten
GEO Series GSE123427. Mus musculus. 99 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>
Trend analysis and random forests models assessing spatial and temporal patterns of wildfire probability for the eastern United States
<p>We used historic fire perimeters from Monitoring Trends in Burn Severity to assess trends and drivers of wildfires in the eastern United States. We used a suite of predictor variables relating to weather, vegetation cover, and human infrastructure to parameterize random forests models predicting fire occurrence. Models were used to project annual burned areas using all selected predictors, and to project the marginal response of annual burned areas to the most important weather predictors. This dataset includes Python scripts, raster maps of fire probability, and tables summarizing analysis results. </p>
Temporal patterns in the transcriptomic response of rainbow trout, Oncorhynchus mykiss, to crude oil
GEO Series GSE19489. Coregonus clupeaformis; Osmerus mordax; Oncorhynchus mykiss; Salmo salar; Oncorhynchus tshawytscha. 57 samples. Type: Expression profiling by array.
The cis-regulatory logic integrating spatial and temporal patterning in the vertebrate neural tube
GEO Series GSE264172. Mus musculus. 184 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Genome‑wideBrain DNAMethylationandGeneExpression Patterns Unravel Epigenetic Reprogramming in Mesial Temporal Lobe Epilepsy
GEO Series GSE272142. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Self-organised pattern formation in the developing dorsal neural tube by a temporal relay of BMP signalling
GEO Series GSE247069. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.
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.