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33 results for “spatio-temporal patterns”
Supplementary Information: Human populations in the world's mountains: spatio-temporal patterns and potential controls
<p>Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022)</p>
Data from: Drivers of spatio-temporal patterns of salinity in Spanish rivers: a nationwide assessment
The salinization of freshwaters is a global water quality problem that leads to the biological degradation of aquatic ecosystems. However, little is known about the spatial extent of freshwater salinization and the relative contribution of each human activity (e.g. agriculture, urbanization, mining or shale-gas extraction). Here, we investigated environmental factors that explain spatio-temporal patterns of water salinity and examined the causes, the extent and the degree of salinization of Spanish rivers. Results showed a strong variation in water salinity among river typologies and between river reaches in good and poor ecological status according to the Water Framework Directive. The variation in water salinity was largely explained by a combination of natural (i.e. climate and geology) and anthropogenic (i.e. land use) factors. By contrast, land use factors as urbanization and agriculture were the main drivers of salinization, which affected more than one quarter of the rivers and streams in Spain, especially those in the most arid regions (central and southern regions) and in the main courses of the largest rivers such as the Ebro, Douro and Tajo rivers. The information provided here can be relevant to set priority regions and actions to ameliorate freshwater salinization.
Data from: Drivers of spatio-temporal patterns of salinity in Spanish rivers: a nationwide assessment
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Data from: Extracting spatio-temporal patterns in animal trajectories: an ecological application of sequence analysis methods
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Data from: Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes
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A spatio-temporally constrained gene regulatory network directed by PBX1/2 acquires limb patterning specificity via HAND2 [ATAC-seq]
GEO Series GSE197855. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A spatio-temporally constrained gene regulatory network directed by PBX1/2 acquires limb patterning specificity via HAND2 [single-cell RNA-seq]
GEO Series GSE197858. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
A spatio-temporally constrained gene regulatory network directed by PBX1/2 acquires limb patterning specificity via HAND2
GEO Series GSE197859. Mus musculus. 33 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Figure 1 in Spatio-temporal distribution patterns of Chironomidae communities in the wadis of Northern Tunisia
Figure 1. Map of the study area showing location of the sampling sites (North of Tunisia).
Observational Study of Spatio-Temporal Patterns of New Cases of Acute Myeloid Leukemia
ClinicalTrials.gov study NCT03433521. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A spatio-temporally constrained gene regulatory network directed by PBX1/2 acquires limb patterning specificity via HAND2 [ChIP-seq]
GEO Series GSE197856. Mus musculus. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A spatio-temporally constrained gene regulatory network directed by PBX1/2 acquires limb patterning specificity via HAND2 [bulk RNA-seq]
GEO Series GSE197857. Mus musculus. 13 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
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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.