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25 results for “tidal flows”

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edi44/100

UCSB SONGS Mitigation Monitoring: Wetland Survey - Tidal Volumetric Flow Rate

These data describe annual estimates of tidal volumetric flow rate collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands in San Diego County, CA. The tidal volumetric flow rate into the wetland between low and high tide was sampled 24 times annually along a cross section transect of the main channel located 0.9 km from the inlet.

openCC (other)Jun 2025View details →
zenodo40/100

Morphodynamic stability of river and tidal bifurcations around bars tested in the Fast Flow Facility

<p>Multithread rivers such as the Jamuna and Mekong have networks of channels and bars that change with every flood. Tidal systems such as the Scheldt, Humber and Columbia estuaries and short tidal basins in the Wadden Sea and in Florida, have perpetually changing and interacting channels and shoals formed by ebb and flood currents. Current models fail to forecast these natural dynamics, yet main channels are economically important shipping fairways, whilst shoal areas that emerge and submerge daily are ecologically valuable habitats. Human interference, changing river discharge and sealevel rise threaten all functions. Furthermore, there are strong indications that fairway deepening leads to reduced urban safety due to enhanced flow resistance by groynes in rivers and enhanced tidal range in estuaries (e.g. Bolla Pittaluga et al. 2015 in AWR, Seminara et al., in EH 2011). This enhances dike failure risk during low water level and flooding during high water level. We urgently need dynamic forecasting models to optimise management strategies for these multiple functions (Wang et al. 2012 in Ocean Coastal Manage., Coco et al. 2013 in Mar. Geol.).</p> <p>Here we target firstly river bifurcations and secondly the mutually evasive ebb- or flood-dominated channels that form around bars and are found in all sandy tidal systems in the world (van Veen 1950/2002 in J. R. Dutch Geograph. Soc.). The cause for the mutual evasion is still incompletely understood despite the fact that they also appear in our numerical model results and experiments (Canestrelli et al., in JGR 2010; Kleinhans et al. 2015 in JGR). The nodes where ebb and flood channels connect can be seen as asymmetric bifurcations where one channel is preferred during ebb and the other during flood. Such bifurcations are critical elements that partition flow and sediment through the channel network, govern bar merging and splitting and are locations where bed steps form in shipping lanes, as in river bifurcations. Stability and equilibrium configurations are mostly unknown for tidal bifurcations except for one recent theory (Wang et al in prep.). In particular, we have a fair understanding of the tidal dynamics, but this is incomplete for the morphodynamics, especially related to understanding the sediment division at the bifurcation.</p> <p>We take advantage of the better but yet incomplete understanding of river bifurcations. The stability of river bifurcations has been studied for two decades in fieldwork, experimentation, linear stability theory and numerical modelling (e.g. Wang et al. 1995, JHR, see review in Kleinhans et al. 2013, ESPL) and our recent theory (Bolla Pittaluga et al. 2015 in GRL) synthesises many of the earlier results as follows: In bedload-dominated rivers, symmetrical bifurcations are unstable and develop towards a highly asymmetrical division of discharge and sediment. The same is the case for suspended sediment-dominated rivers, but the theory predicts stable bifurcations for intermediate sediment mobility. However, there is very little data for conditions intermediate between low and high mobility rivers. Moreover, we have no idea whether bifurcations in reversing tidal flow are unstable for similar configurations and conditions as in rivers. Here we mean configurations that are entirely free of topographic forcings on the flow: straight channels split into two channels over some length and depth.</p> <p>Our objective was therefore to experimentally investigate bifurcation stability in a range of sediment mobilities in unidirectional flow and reversing tidal flow ceteris paribus.</p>

opencc-by-4.0Dec 2017View details →
zenodo40/100

Dataset for "Tidal control of the flow through long, narrow straits: a modeling study for the Seto Inland Sea"

<p>This dataset contains simulated results used to draw figures in the following paper.</p> <p>Kurogi, M. &amp; Hasumi, H. Tidal control of the flow through long, narrow straits: a modeling study for the Seto Inland Sea, Sci. Rep. 9, 11077 (2019).</p> <p>==== List of data</p> <p>&nbsp;dep_T.nc: Depth of tracer point<br> &nbsp;dep_V.nc: Depth of velocity point<br> &nbsp;ssh.nc: Sea Surface Height for TIDE (hourly snapshots of July 2012)<br> &nbsp;ubt_TIDE.nc: Eastward barotropic velocity for TIDE (monthly mean)<br> &nbsp;vbt_TIDE.nc: Northward barotropic velocity for TIDE (monthly mean)<br> &nbsp;ubt_NTIDE.nc: Eastward barotropic velocity for NTIDE (monthly mean)<br> &nbsp;vbt_NTIDE.nc: Northward barotropic velocity for NTIDE (monthly mean)<br> &nbsp;ubt_NTIDE_DV0.nc: Eastward barotropic velocity for NTIDE_DV0 (monthly mean)<br> &nbsp;vbt_NTIDE_DV0.nc: Northward barotropic velocity for NTIDE_DV0 (monthly mean)<br> &nbsp;ubt_NTIDE_D.nc: Eastward barotropic velocity for NTIDE_D (monthly mean)<br> &nbsp;vbt_NTIDE_D.nc: Northward barotropic velocity for NTIDE_D (monthly mean)<br> &nbsp;ubt_NTIDE_DV.nc: Eastward barotropic velocity for NTIDE_DV (monthly mean)<br> &nbsp;vbt_NTIDE_DV.nc: Northward barotropic velocity for NTIDE_DV (monthly mean)<br> &nbsp;ubt_NTIDE_DVA.nc: Eastward barotropic velocity for NTIDE_DVA (monthly mean)<br> &nbsp;vbt_NTIDE_DVA.nc: Northward barotropic velocity for NTIDE_DVA (monthly mean)<br> &nbsp;ubt_inout.nc: Eastward barotropic velocity for the inflow-outflow model (monthly mean)<br> &nbsp;vbt_inout.nc: Northward barotropic velocity for the inflow-outflow model (monthly mean)<br> &nbsp;amv_TIDE.nc: Vertical average of vertical viscosity for TIDE (monthly mean)<br> &nbsp;ahv_TIDE.nc: Vertical average of vertical diffusivity for TIDE (monthly mean)<br> &nbsp;amv_NTIDE.nc: Vertical average of vertical viscosity for NTIDE (monthly mean)<br> &nbsp;ahv_NTIDE.nc: Vertical average of vertical diffusivity for NTIDE (monthly mean)<br> &nbsp;ke.nc: Vertical average of kinetic energy per unit mass for TIDE (monthly mean)<br> &nbsp;ke_bt.nc: Vertical average of barotropic kinetic energy per unit mass for TIDE (monthly mean)</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2018View details →
zenodo40/100

Text-fig. 1. A. Location of the sites of Capo di Fiume, Palena and Pollenzo near Alba. B. Capo di Fiume stratigraphic section. Facies of coastal-transitional marine associations – a. Freshwater marsh and tidal creeks interval, b. Swamp interval, c1–c4. Facies of eustarine bay associations, d1–d6. Facies of open shelf marine associations. Symbols: "black star" – fossiliferous horizon with plant material studied here, 1. mottled grey to dark-brown marls and clayey marls, 2. fissile dark-grey marls and shaly marls, 3. limestones, 4. marly limestones and limey marls, 5. bio-lithoclastic calcarenites, 6. lime conglomerate, 7. massive muddy deposit produced by mass-flow mechanism, 8. diatomitic marls, 9. "terra rossa" soil (modified after Carnevale et al. 2011). in Feather Palm Foliage From The Messinian Of Italy (Capo Di Fiume, Palena And Pollenzo Near Alba) Within The Framework Of Northern Mediterranean Late Miocene Flora

Text-fig. 1. A. Location of the sites of Capo di Fiume, Palena and Pollenzo near Alba. B. Capo di Fiume stratigraphic section. Facies of coastal-transitional marine associations – a. Freshwater marsh and tidal creeks interval, b. Swamp interval, c1–c4. Facies of eustarine bay associations, d1–d6. Facies of open shelf marine associations. Symbols: "black star" – fossiliferous horizon with plant material studied here, 1. mottled grey to dark-brown marls and clayey marls, 2. fissile dark-grey marls and shaly marls, 3. limestones, 4. marly limestones and limey marls, 5. bio-lithoclastic calcarenites, 6. lime conglomerate, 7. massive muddy deposit produced by mass-flow mechanism, 8. diatomitic marls, 9. "terra rossa" soil (modified after Carnevale et al. 2011).

opencc-by-4.0Dec 2015View details →
dryad40/100

Going with the flow? Relative importance of riverine hydrologic connectivity versus tidal influence for spatial structure of genetic diversity and relatedness in a foundational submersed aquatic plant

Open the record for dataset details and reuse information.

publicMay 2025View details →
zenodo36/100

Observations and Modeling of a Buoyant Plume Exiting into a Tidal Cross-flow and Exhibiting Along-front Instabilities

<p>This post-processed dataset contains the&nbsp;sUAS imagery and numerical modeling output used in the paper &quot;Observations and Modeling of a Buoyant Plume Exiting into a Tidal Cross-flow and Exhibiting Along-front Instabilities&quot;. The provided code details the frontal processing routine used for both&nbsp;the observations and modeling results.&nbsp;&nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

Wake vortices and dissipation in a tidally modulated flow past a three-dimensional topography

<p>LES simulation data of tidally modulated flow past an abyssal hill. Data used in the figures are available</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

The data files for the article "Impact of the core deformation on the tidal heating and flow in Enceladus' subsurface ocean"

<p>The data are given for each figure and each file contains a header regarding information on the columns in the data files.&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Wave, Flow, and Sediment Dynamics under Strong Winds on a tidal beach

<p>The data are saved as matlab data file.</p> <p>1)&nbsp;ssc_fit.mat is used for producing figure 2.</p> <p>2)&nbsp;Reynolds_shear_stress.mat&nbsp;is used for producing figures 3&nbsp;and 10.</p> <p>3)&nbsp;hydrodynamics.mat&nbsp;is used for producing figure&nbsp;4.</p> <p>4)&nbsp;shear_stress_&amp;_ssc.mat is uesd for producing figures 5 and 8.</p> <p>5)&nbsp;SSF.mat&nbsp;is used for producing figures 6 and 11.</p> <p>6)&nbsp;breaking_wave_criteria.mat&nbsp;is used for producing figure&nbsp;7.</p> <p>7)&nbsp;mob_number.mat is used for producing figure 9.</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov36/100

Correlation of Peak Tidal Inspiratory Flow Measured Before and After Extubation in Adult Patients With Hypoxemia

ClinicalTrials.gov study NCT04971148. IPD Sharing: YES. Countries: 2. Publications: 10.

controlledIPD-YESFeb 2026View details →
dryad36/100

Data for: Lessons learned from the design and operation of a small-scale cross-flow tidal turbine

Open the record for dataset details and reuse information.

publicMay 2025View details →
zenodo32/100

Three-layer exchange flow patterns driven by differential stratification in a micro-tidal fjord

<p>The datasets show transects at the mouth and along the Swedish Gullmar Fjord. They are taken from a realistic 3D model and were used to investigate three-layer exchange flows at the sill of the fjord.</p>

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov32/100

Adaptive Non-invasive Ventilation to Abolish Tidal Flow Limitation

ClinicalTrials.gov study NCT04497090. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Comparison of Patient Work of Breathing and Tidal Volumes With High Flow Nasal Cannula Oxygen Therapy and NIV (Non-Invasive Ventilation) After Extubation in the ICU.

ClinicalTrials.gov study NCT04036175. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Different Tidal Volume Ventilation Strategies on Fontan Flow and Hemodynamics

ClinicalTrials.gov study NCT04633343. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Peak Tidal Inspiratory Flow in Infants With Moderate to Severe Acute Viral Bronchiolitis

ClinicalTrials.gov study NCT03298217. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Normal Variability of Tidal Breathing Flow-volume Curves During Sleep in Healthy Children

ClinicalTrials.gov study NCT03785847. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: How does environment influence fighting? The effects of tidal flow on resource value and fighting costs in sea anemones

An animal's decision to enter into a fight depends on the interaction between perceived resource value (V) and fighting costs (C). Both could be altered by predictable environmental fluctuations. For intertidal marine animals, such as the sea anemone Actinia equina, exposure to high flow during the tidal cycle may increase V by bringing more food. It may also increase C via energy expenditure needed to attach to the substrate. We asked whether simulated tidal cycles would alter decisions in fighting A. equina. We exposed some individuals to still water and others to simulated tidal cycles. To gain insights into V, we measured their startle responses before and after exposure to the treatments, before staging dyadic fights. Individuals exposed to flow present shorter startle responses, suggesting that flowing water indicates high V compared with still water. A higher probability of winning against no-flow individuals and longer contests between flow individuals suggests that increased V increases persistence. However, encounters between flow individuals were less likely to escalate, suggesting that C is not directly related to V. Therefore, predictable environmental cycles alter V and C, but in complex ways.

opencc-zeroDec 2016View details →
ClinicalTrials.gov28/100

The Effect of Oxygen Flow Rate on End-tidal CO2 During Deep Sedation

ClinicalTrials.gov study NCT06824610. IPD Sharing: NO. Countries: 0. Publications: 3.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: How does environment influence fighting? The effects of tidal flow on resource value and fighting costs in sea anemones

Open the record for dataset details and reuse information.

publicMay 2017View details →

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