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163 results for “temporal variability”
Figure 10 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 10. Features of various stages of intense cyanobacteria bloom in the South Caspian in September 2008 in Aqua MODIS true color images of: September 18 (a); September 27 (b).
Figure 5 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 5. Monthly average values of Chl-a concentration in the coastal and open sea areas of the Middle and South Caspian, determined from Aqua MODIS data for 2022.
Figure 1 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 1. Map of the Caspian Sea with isobaths in meters. Blue lines show the boundaries between the North, Middle and South Caspian. Red rectangle marks the area of in situ fieldwork.
Comparing Spatial and Temporal Variabilities between the Vaisala AQT530 Monitor and Reference Measurements
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Data from: Temporal changes in genetic variability in three bumblebee species from Rio Grande do Sul, South Brazil
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Data from: Dynamics of bird assemblages in response to temporally and spatially variable resources in arid Australia
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Data from: Temporal intraspecific trait variability drives responses of functional diversity to inter-annual aridity variation in grasslands
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Data from: Adaptation in temporally variable environments: stickleback armor in periodically breaching bar-built estuaries
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Data from: Spatial-temporal variability and related factors of soil organic carbon in Henan province
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Data from: Temporal variability of a single population can determine the vulnerability of communities to perturbations
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Data from: Grizzly bear response to spatio-temporal variability in human recreational activity.
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Data from: Morphological variability in propagules of a desert annual as a function of rainfall patterns at different temporal and spatial scales
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Spatio-temporal variability of tidal-stream energy in north-western Europe
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Variability in intrinsic promoter strength underlies the temporal hierarchy of the Caulobacter SOS response induction
GEO Series GSE311073. Caulobacter vibrioides. 8 samples. Type: Expression profiling by high throughput sequencing.
Data from: Temporal stability of genetic variability and differentiation in the three-spined stickleback (Gasterosteus aculeatus)
Temporal variation in allele frequencies, whether caused by deterministic or stochastic forces, can inform us about interesting demographic and evolutionary phenomena occurring in wild populations. In spite of the continued surge of interest in the genetics of three-spined stickleback (Gasterosteus aculeatus) populations, little attention has been paid towards the temporal stability of allele frequency distributions, and whether there are consistent differences in effective size (Ne) of local populations. We investigated temporal stability of genetic variability and differentiation in 15 microsatellite loci within and among eight collection sites of varying habitat type, surveyed twice over a six-year time period. In addition, Nes were estimated with the expectation that they would be lowest in isolated ponds, intermediate in larger lakes and largest in open marine sites. In spite of the marked differences in genetic variability and differentiation among the study sites, the temporal differences in allele frequencies, as well as measures of genetic diversity and differentiation, were negligible. Accordingly, the Ne estimates were temporally stable, but tended to be lower in ponds than in lake or marine habitats. Hence, we conclude that allele frequencies in putatively neutral markers in three-spined sticklebacks seem to be temporally stable – at least over periods of few generations – across a wide range of habitat types differing markedly in levels of genetic variability, effective population size and gene flow.
Understanding the role of the spatial-temporal variability of catchment water storage capacity and its runoff response using deep learning networks
<p>Abstract</p> <p>Catchment water storage capacity (CWSC) links the atmosphere and terrestrial ecosystems, which is required as spatial parameters for geoscientific models. However, there are currently no available common datasets of the CWSC on a global scale, especially for hydrological models since conventional evapotranspiration-derived estimates cannot represent the extra storage capacity for the lateral flow and runoff generation. Here, we produce a dataset of the CWSC parameter for global hydrological models. Joint parameter calibration of three commonly used monthly water balance models provides the labels for a deep residual network. The global CWSC is constructed based on the deep residual network at 0.5° resolution by integrating 15 types of meteorological forcings, underlying surface properties, and runoff data. CWSC products are validated with the spatial distribution against root zone depth datasets and validated in the simulation efficiency on global grids and typical catchments from different climatic regions. We provide the global CWSC parameter dataset as a benchmark for geoscientific modelling by users.</p> <p>A global terrestrial CWSC dataset with 0.5 spatial resolution is now available. All input factors and the global CWSC data are publicly available as NetCDF files or download from smsc_data.zip at Zenodo. Python codes are available to calculate the basin average CWSC value from grid values in any interested basin on a global scale.</p> <p>The Fortran codes for parameter calibration of semi distributed global monthly water balance models are available at https://github.com/xiekangwhu/CWSC_monthly_water_balance_models. The Python codes of deep residual network we developed for the global reconstruction map of CWSC are available at https://github.com/xiekangwhu/CWSC_deep_residual_network.</p> <p> </p> <p>Major code contributor: Kang Xie (PhD Student, Wuhan University), Liting Zhou (PhD Student, Wuhan University), Shujie Cheng (PhD Student, Wuhan University), and Shuanghong Shen (PhD Student, University of Science and Technology of China)</p> <p> </p> <p>Citations</p> <p>If you find our code to be useful, please cite the following papers:</p> <p>Xie, K. et al. Identification of spatially distributed parameters of hydrological models using the dimension-adaptive key grid calibration strategy - ScienceDirect. Journal of Hydrology 598, doi:10.1016/j.jhydrol.2020.125772 (2020).</p> <p>Xie, K. et al. Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships. Journal of Hydrology 603, doi:10.1016/j.jhydrol.2021.127043 (2021).</p> <p>Xie, K. et al. Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT Models. Journal of Hydrologic Engineering 25, doi:10.1061/(asce)he.1943-5584.0001887 (2020).</p>
A Temporal Variability Study of Remimazolam for General Anesthesia Induction and Maintenance
ClinicalTrials.gov study NCT07079800. IPD Sharing: NO. Countries: 1. Publications: 0.
Does the Structure of the Tendon Relate to the Temporal, Kinetic and Kinematic Jump Variables? Athletes Vs. Non Athletes
ClinicalTrials.gov study NCT06732986. IPD Sharing: NO. Countries: 1. Publications: 0.
Temporal Relationship in Recovery of Muscular Pain and Functional Variables in an Experimental Muscular Pain Model in Hamstrings
ClinicalTrials.gov study NCT03942562. IPD Sharing: NO. Countries: 1. Publications: 0.
Understanding Prefrontal and Medial Temporal Neuronal Responses to Algorithmic Cognitive Variables in Epilepsy Patients
ClinicalTrials.gov study NCT05283811. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.