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20 results for “Flow regimes”
Dataset of publication "Investigation of the discharge coefficient in the laminar boundary layer regime of critical flow Venturi nozzles calibrated with different gases including hydrogen"
<p>The attached files contain experimental raw data and fluid properties for the nozzles 1 and 2 mentioned in the paper. The data in the attached files can be used to calculate the Cd values published in the paper.</p>
Data for "Archetypal flow regime change classes and their associations with anthropogenic drivers of global streamflow alterations"
<p>Data repository for "Archetypal flow regime change classes and their associations with anthropogenic drivers of global streamflow alterations"</p>
Data for: Mimicking functional elements of the natural flow regime promotes native fish recovery in a regulated river
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Corrigendum of "Assessment of the Elliptic Blending RSM Turbulence Model on a Wind Turbine-Type Rotor Under Mildly Compressible Blade Tip Flow Regime" and updated dataset
<p>This data accompanies the paper "Assessment of the Elliptic Blending RSM Turbulence Model on a Wind Turbine-Type Rotor Under Mildly Compressible Blade Tip Flow Regime", published in the 18th Brazilian Congress of Thermal Sciences and Engineering (2020): <a href="http://www.sistema.abcm.org.br/articleFiles/download/28958">http://www.sistema.abcm.org.br/articleFiles/download/28958</a>. It includes the corrected integral load values described in the PDF document.</p>
Supplementary videos for "The mechanical origin of snow avalanche dynamics and flow regime transitions"
<p>We are releasing the videos as the supplementary information for our submitted manuscript to The Cryosphere. </p> <p>Movie 1. Velocity of the flows in the four typical flow regimes in Fig. 2(a). Frame rate is 24 FPS.</p> <p>Movie 2. Volumetric plastic strain of the flows in the four typical flow regimes in Fig. 2(a). Frame rate is 24 FPS.</p> <p>Movie 3. Velocity of the flow in transition from cold dense to warm shear regimes in Fig. 2(b). Frame rate is 24 FPS.</p> <p>Movie 4. Volumetric plastic strain of the flow in transition from cold dense to warm shear regimes in Fig. 2(b). Frame rate is 24 FPS.</p>
Data from: Flow-ecology relationships are spatially structured and differ among flow regimes
1. In streams, hydrology is a predominant driver of ecological structure and function. Providing adequate flows to support aquatic life, or environmental flows, is therefore a top management priority in stream systems. 2. Flow regime classification is a widely accepted approach for establishing environmental flow guidelines. However, it is surprisingly difficult to quantify relationships between hydrology and ecology (flow-ecology relationships) while describing how these relationships vary across classified flow regimes. Developing such relationships is complicated by several sources of spatial bias, such as autocorrelation due to spatial design, flow regime classification, and other environmental or ecological sources of spatial bias. 3. We used mixed moving-average spatial stream network models to develop flow-ecology relationships across classified flow regimes and to assess spatial patterns of these relationships. We compared relationships between fish traits and life-history strategies with hydrologic metrics across flow regimes and assessed whether spatial autocorrelation influenced these relationships. 4. Trait-hydrology relationships varied between flow regimes and across all streams combined. Some relationships between traits and hydrologic metrics fit predictions based on life-history theory, while others exhibited unexpected relationships with hydrology. Spatial factors described a large proportion of variability in fish traits and different patterns of spatial autocorrelation were observed in different flow regimes. Synthesis and Applications. Further work is needed to understand why flow-ecology relationships vary across classified flow regimes and why these relationships may not fit predictions based on life-history theories. Managers determining environmental flow standards need to be aware that different hydrologic metrics are often important drivers of fish trait diversity in different flow-regimes. Flow-ecology relationships may therefore be confounded by spatial structure that is inherent in flow regime classification and much existing biological data. Complex patterns of spatial bias should be considered when managing stream systems within an environmental flows framework.
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
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Wall collision of deformable bubbles in the creeping flow regime (Supporting Data)
<p>The dataset contains sample numerical results of a bubble colliding with a solid wall at small Reynolds number, pertaining to the manuscript under the same title, "Wall collision of deformable bubbles in the creeping flow regime", published in the European Journal of Mechanics - B/Fluids.</p>
Exploring functional flow heterogeneity in regulated flow regime: fish species turnover along hydraulic gradients in an artificial waterway network
<p><span>Humans have altered river flows and lateral aquatic habitats. The expansion of agriculture in floodplains has resulted in landscapes dominated by irrigated farmland. A key challenge in water management is to conserve existing ecological communities and habitat heterogeneity, while simultaneously maintaining engineered infrastructure for agriculture. In this study, we focused on an artificial channel network for irrigation with a regulated flow regime and its function as habitat for various fish species. Differences of hydraulic conditions among channels and compositional changes in fish species were examined to clarify functional flow heterogeneity. Species turnover was analyzed using pairwise Simpson dissimilarity among sampling reaches. Species turnover was positively associated with Froude number (flow intensity) differences at intermediate discharges, and with differences in cross-sectional areas (flow magnitude) at low discharges. Drastic changes in inflows should be considered for the effective conservation of flow heterogeneity, even under a regulated flow regime. Improved engineering design to manage the hydraulic environment is one option for maintaining the ecological value of lateral waterbodies in human-dominated landscapes. Our findings provide insights into the importance of functional flow heterogeneity to conserve fish species diversity.</span></p>
Respiration and CO2 evasion dynamics in moving streambeds as a response to flow regimes
<p>This dataset contains both raw and processed data utilized in generating the findings outlined in our research paper titled "Respiration and CO2 Evasion Dynamics in Mobile Streambeds in Response to Different Flow Regimes," which has been submitted to the Journal of Hydrology. Additionally, within this dataset, you will find a collection of movies that are part of our Supporting Information.</p> <p>Within this dataset, you will find a sub-dataset for all nine experimental runs. These experimental runs encompass three distinct flow regimes: a constant flow regime (C), a sinusoidal flow regime (S), and a single peak flow event (F). Each of these flow regimes was conducted three times as repeated measurements (RM).</p> <p>The data subsets contain:</p> <ol> <li> <p>Raw infrared images captured at the sediment-water interface using an infrared camera.</p> </li> <li> <p>A selection of raw infrared images that correspond to the optode images obtained from our optode camera.</p> </li> <li> <p>Preprocessed optode images captured by the optode camera.</p> </li> <li> <p>The original raw planar optode images.</p> </li> <li> <p>A supplementary text file containing essential data information.</p> </li> </ol> <p>Furthermore, the dataset encompasses raw data files related to surface water chemistry data and measurements of CO<sub>2</sub> air concentration and pressure. Also it contains datafiles with all results used in the publication.</p> <p>In the Supporting Information folder, you will find Movies S1 through S18, which visually illustrate the sediment's movement and the dynamic variations in O<sub>2</sub> and CO<sub>2</sub> concentrations within the sediment.</p>
Data from: Flow-ecology relationships are spatially structured and differ among flow regimes
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Data from: Gene flow and population structure of a common agricultural wild species (Microtus agrestis) under different land management regimes
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Data from: Comparison of pollen gene flow among four European beech (Fagus sylvatica L.) populations characterized by different management regimes
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Exploring functional flow heterogeneity in regulated flow regime: fish species turnover along hydraulic gradients in an artificial waterway network
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Productivity of riparian Populus forests: satellite assessment along a prairie river with an environmental flow regime
<p>In semi-arid regions, the growth and survival of cottonwoods (riparian Populus species) depend on river water supplementing the limited precipitation. Indicators of growth and productivity are needed to assess how altered streamflow regimes on regulated rivers impact cottonwood trees and the riparian forest ecosystems they support. Satellite imagery from the Landsat program was used to make historical assessments of ecosystem productivity in a riparian cottonwood forest along a regulated prairie river in southern Alberta, Canada from 1984 to 2020, with an environmental flow regime that increased the minimum flows implemented in 1993. A version of the near-infrared reflectance of vegetation scaled with incoming sunlight (NIRvP) was calculated from Landsat images to provide a proxy for primary production. NIRvP was validated against gross primary production measurements from eddy covariance and cottonwood basal area increment measurements from tree ring analyses. Streamflow and weather data were used to assess what environmental conditions drive year-to-year variations in NIRvP.</p>
Experimental and model-based investigation of the effect of the free- surface flow regime on the detection threshold of warm water inflow
<p>Experimental and numerical injections of warm water into a free surface flow. Different flow regimes were tested and detection thresholds were determined.</p> <p>Experiments were done in an outdoor flume, in June 2016. They were monitored by Fiber-Optic Distributed Temperature Sensing with a double-ended configuration and 20s time resolution. Two flume flow rates Q were tested. For each, a few injection flow rates were done, leading to a total of 10 experiments characterized by an injection ratio R. Only calibrated data are uploaded.</p> <p>Simulations were carried out on HEC-RAS 5.0, a 1D software developed by the US Army Corps of Engineers, and based on the experimental flume geometry. A total of 90 simulations were tested with different flow rates, injection percentage and thermal contrast ∆T between flowing water and injected water.</p> <p>Supplementary data can be found to understand the flume geometry, hydraulic characteristics (Reynolds, Peclet and Froude numbers) and exchanges with the atmosphere for both simulations and experiments.</p>
Productivity of riparian Populus forests: satellite assessment along a prairie river with an environmental flow regime
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Intermittent Negative Pressure to Improve Blood Flow in Patients With Peripheral Artery Disease: Optimal Pulse Pressure Regime
ClinicalTrials.gov study NCT03547817. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Improved Vanadium Flow Battery Performance through a Pulsating Electrolyte Flow Regime
<p><span>The folder contains the processed data of figures 1, 2, 3, 4, S. 7, S. 8, S. 9 and S. 10 that appear in: </span></p> <p><span>R. De Wolf, A. Rossen, M. De Rop, L.F. Arenas, T. Breugelmans, J. Hereijgers, Improved Vanadium Flow Battery Performance through a Pulsating Electrolyte Flow Regime, Batter. Supercaps. 01 (2023) 1–23.</span></p> <p><span><a href="https://doi.org/10.1002/batt.202300382">https://doi.org/10.1002/batt.202300382</a></span></p>
Three-dimensional micro-CT images of UV-frozen flow fronts recorded at different flow regimes
<p>Segmented micro-CT images of flow fronts produced by UV-flow freezing. Front morphologies correspond to capilary-dominated, equilibrated and viscous-dominated flow regimes.</p>
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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.