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5,371 results for “Flow”
Data from: Amazonian rivers are leaky barriers to gene flow in forest understory birds
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Divergence, gene flow, and speciation in eight lineages of trans-Beringian birds
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Assessing gene flow between Dicranum scoparium Hedw. and D. bonjeanii De Not. (Dicranaceae) using single nucleotide polymorphisms (SNPs)
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Estimation of species divergence times in presence of cross-species gene flow
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A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow
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Data from: The utility of information flow in formulating discharge forecast models: a case study from an arid snow-dominated catchment
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Flow augmentation from off-channel storage improves salmonid habitat and survival
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Can environmental flows moderate riparian invasions? The influence of seedling morphology and density on scour losses in experimental floods
Predicting plant mortality during floods remains a key area of uncertainty for both river managers and ecologists, particularly how flood hydraulics and sediment dynamics interact with the plants’ own traits to influence their vulnerability to scour and burial. The three datasets in this archive were collected from a series of flume experiments that took place at the University of California, Berkeley’s Richmond Field Station. The flume experiments are part of a larger study, funded by NSF (EAR#1024820) that quantified reciprocal effects and feedbacks between riparian seedlings and river morphodynamics, using sand-bed rivers in the U.S. Southwest as the reference system. To quantify different plant species’ vulnerability to flooding across a range of plant sizes, patch densities, and sediment condition (equilibrium transport versus sediment deficit), we ran 10 experimental floods using live seedlings of cottonwood and tamarisk, which have contrasting morphologies. The three datasets include: 1. Plant responses (dislodgement or burial) to the experimental floods and plant size (e.g. stem height, root length, and dry weight) for all plants tested during the flume runs (N = 484, comprising 326 cottonwood and 158 tamarisk); 2. Plant morphological traits (e.g. frontal area, bending force, and root diameter) for a random subset of seedlings (n = 90, comprising 47 cottonwood and 43 tamarisk); and 3. Frontal area density for the same seedling subset.
McMurdo Dry Valleys Huey Creek streamflow routing and subsurface water flow, 2006
Huey Creek is a meltwater stream that flows into the north end of Lake Fryxell in Taylor Valley.  We conducted a comparative study to determine flow balances, flow routing in Huey Creek in 2006. The hypothesis is that truncated hydrographs on Huey Creek (and other streams) are related to large subsurface storage potential that fills/empties over the daily flood pulse. The goal of the simulation and experimental data comparison described here  is to use a coupled groundwater / surface flow model to test this hypothesis.  Representative figure: Simulated and observed discharges for (A) the full model; B) kinematic wave routing and subsurface flow, but no anabranching; C) kinematic wave routing, but no subsurface flow, and no anabranching. D) displays the difference between observations and the upstream boundary condition for each simulation.
Flow Direction from Land Surface - Parker and Ipswich Watersheds - ASCII Raster File
This datalayer is a gridded flow direction (i.e. river network) of the watersheds draining to Plum Island Sound. The resolution is 120 m x 120 m. This layer gives the direction of each cell to the next downstream grid cell. The gridded river network is used to explore scientific questions regarding the role of different land uses in defining nutrient loading, and the role of river systems in controlling exports to the coastal zone. Provide the flow direction of materials from source areas on land to downstream aquatic systems for general mapping and display, nutrient loading and routing analysis, and aquatic ecosystem modeling.
Water column dissolved (DSi) and biogenic (BSi) concentrations and fluxes collected from Sweeney (Right), West (Left) and Clubhead along with temperature, salinity, and flow data from 7/2010
Found at the landesea interface, these systems are silica replete with large stocks in plant biomass, sediments, and porewater, and therefore, have the potential to play a substantial role in the transformation and export of silica to coastal waters. In an effort to better understand this role, we measured the fluxes of dissolved (DSi) and biogenic (BSi) silica into and out of two tidal creeks in the PIE LTER salt marsh system. One of the creeks (Sweeney) has been fertilized from May to September for six years allowing us to examine the impacts of nutrient addition on silica dynamics within the marsh.
MOTIVE - tiMe-OpTimized contextual Information flow on unmanned VEhicles project experimental results
<p>The experimentation data were collected during the 6th Fed4FIRE+ Open Call (https://www.fed4fire.eu/) using the mobile nodes of the w-iLab.t (link) testbed. During this Open Call we proposed to evaluate the performance of an optimization model for temporal control of the transmission of messages from an IoT mobile device. This mechanism is based on a network condition model that transits from favourable to adverse conditions and vice versa. All these transitions are monitored and validated through our system (change detection and optimal stopping). If a network is performing properly then the transmission control can be relaxed to exploit available resources.The main contribution of MOTIVE is to apply a sequential decision-making process (DMP) on IoT devices that leverages the on-line derived network statistics to efficiently control their telemetry measurements transmission.</p> <p>Our data collected from the experimentation using the testbed's devices consists of network related information, packet error rate and latency. We collected data from a completely functional mobile node that operates in a saturated network and five mobile nodes in the same circumstances. Saturated conditions were generated by data produced by twenty static sensors for the duration of the each experiment. On each run we collected more than 2 * 105 samples. The comparative assessment we did was based on five different policies of decision making: i) no-policy model, ii) the heuristic threshold based model in which the transmission of the messages is paused when a specific threshold of quality network is below a threshold, iii) TOCP model which overviews the quality of network in normal mode and gets in pausing mode when a change is detected; the pausing period lasts for a specific threshold and then it is activated again, iv) TOCP-DRP and the v) fair TOCP-DRP which enters in pausing mode if a change is indicated by TOCP decision making model.</p> <p>The datasets include the packet error rate and the latency of each device, for each experiment, and the critical areas found during the experiments (most saturated areas).</p> <p>The datatset includes for each scenario(experiment) the participating devices and the Latency and Packet Error Rate(PER) per policy( NoPolicy, Heuristic, TOCP, TOCPDRP, TOCPDRPFAIR), apart from scenarioA(single node) where only four policies are present, since the TOCPDRPFAIR applies with more that one participating nodes.</p>
Subglacial Drainage Evolution Modulates Seasonal Ice Flow Variability of Three Tidewater Glaciers in Southwest Greenland - velocity and plume data
<p>This file contains four datasets:</p> <p>- ice velocity estimates of the area surrounding and including Kangiata Nunata Sermia, southwest Greenland, derived from Landsat imagery and from Sentinel 1 imagery</p> <p>- plume observations in this area</p> <p>- subglacial discharge at the terminus</p> <p>- glacier terminus positions</p> <p>A more complete description of these datasets will be provided in the publication with the same name (currently in review). The methods used to measure glacier terminus positions are described in https://doi.org/10.5194/esurf-6-551-2018 </p>
Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample specific ion distributions
<p>Data generated and analyzed in "Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample specific ion distributions"</p> <p>Boris Sarvin<sup>‡1</sup>, Shoval Lagziel<sup>‡2</sup>, Nikita Sarvin<sup>1</sup>, Dzmitry Mukha<sup>1</sup>, Praveen Kumar<sup>1</sup>, Elina Aizenshtein<sup>3</sup>, Tomer Shlomi *<sup>123</sup></p> <p><sup>1</sup> Faculty of Biology, Technion – Israel Institute of Technology, 32000 Haifa, Israel.</p> <p><sup>2</sup> Faculty of Computer Science, Technion – Israel Institute of Technology, 32000 Haifa, Israel.</p> <p><sup>3</sup> Lokey Center for Life Science and Engineering, Technion – Israel Institute of Technology, 32000 Haifa, Israel.</p> <p><sup>‡</sup> BS and SL contributed equally to this work.</p>
Dataset for Lattice Boltzmann simulation of water flow through rough nanopores
<p>All the datasets used to produce the figures in our paper "<strong>Lattice Boltzmann simulation of water flow through rough nanopores</strong>".</p>
Model Results for "Groundwater Flow to Gale Crater in an Episodically Warm Climate"
<p>Results from the bous_therm code for "Groundwater Flow to Gale Crater in an Episodically Warm Climate"</p> <p>bous_therm code is at doi:10.5281/zenodo.3779418</p> <p>After extraction, the folder goes in the top directory of the bous_therm repository. It can then be read, analyzed, and plotted by scripts in the repository.</p>
Lituya Bay 1958 Tsunami – pre-event bathymetry reconstruction and 3D-numerical modelling utilizing the CFD software Flow-3D
<p>Simulation video, Model code, STL.File of the solid bodies</p>
Mapping the world's free-flowing rivers: CSV Dataset
<p>These data were originally generated by: Grill, G., Lehner, B., Thieme, M. <em>et al.</em> Mapping the world’s free-flowing rivers. <em>Nature</em> 569, 215–221 (2019). <a href="https://doi.org/10.1038/s41586-019-1111-9">https://doi.org/10.1038/s41586-019-1111-9</a>.</p> <p>The dataset here is a CSV generated from the original data curated and generated by Grill <em>et al.</em> to facilitate processing of the data using a variety of computational tools. The attribute table of the data generated in the study were extracted from an ArcGIS geodatabase format using QGIS and converted to a CSV.</p> <p>The description of the variables and attributes can be found in the documentation of the original dataset: <a href="https://figshare.com/articles/Mapping_the_world_s_free-flowing_rivers_data_set_and_technical_documentation/7688801">https://figshare.com/articles/Mapping_the_world_s_free-flowing_rivers_data_set_and_technical_documentation/7688801</a>. </p>
Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" - version 2
<p>This repository contains the experimental and simulation results of the article "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" by Carvalho, V., Rodrigues, N., Ribeiro, R., Costa, P., Lima, R., Teixeira, S., published in <em>Micromachines</em> <strong>11, 6</strong> (2020). https://doi.org/10.3390/mi11060549</p>
Code and dataset for: Cell position fates and collective fountain flow in bacterial biofilms revealed by light-sheet microscopy
<p>Dataset and codes for: Cell position fates and collective fountain flow in bacterial biofilms revealed by light-sheet microscopy.</p> <p>Published online via First Release, <strong>11 June 2020</strong></p> <p>B. Qin et al., Science, 10.1126/science.abb8501 (2020).</p> <p> </p>
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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.