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5,371 results for “Flow”

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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 →
edi44/100

Debris Flow Carbon Mobilization Table

This file contains the Tongass National Forest Landslide Inventory ID, planimetric area, aboveground carbon amount, and soil carbon amount mobilized by each landslide. Carbon amounts were determined using two aboveground carbon models and a soil carbon model, available at (https://databasin.org/people/brianbuma/). These values were used to estimate the amount of carbon mobilized by debris flow type landslides in SE Alaska, within the Tongass National Forest.

openCC0Feb 2021View details →
edi44/100

Flow accumulation grid generated from 10 meter DEM, Andrews Experimental Forest, 1998

Flow accumulation grid generated from 10 meter DEM, Andrews Experimental Forest. This grid is useful for determining the area of land that drains to a point. The user selects a point on the grid, and the value of that point represents the area (in 100 square meters) that drain to the point. This grid can also be used for generating watershed boundaries and stream networks.

openCustomJul 2005View details →
edi44/100

Flow direction grid at 1 kilometer resolution for North Slope drainage basins, Alaska

We derived and evaluated a 1 kilometer spatial resolution flow direction grid for the terrestrial drainage of the North Slope of Alaska. The region is resolved by 182,722 grid cells and the associated connectivity. It is bounded by the Brooks Range and Beaufort Sea coast, and extends from the northern Chukchi Sea coast eastward to the small rivers near 140 degrees West. The dataset is provided in raster and tabular format, with the latter including coordinates, river basin identifier, and downstream reach and direction for each grid cell in the region. Over three dozen river basins are identified by name in an associated lookup table. This new mapping resolves the terrestrial drainages for rivers exporting freshwater, nutrients, and other materials to Elson, Simpson, Jago, Kaktovik, and other coastal lagoons at a resolution that captures important processes linked to surface and subsurface hydrological flows. Our analysis suggests that the mapping exhibits notable similarity in basin area boundaries relative to the benchmark USGS National Hydrography Dataset.

openCC0Jan 2020View details →
edi44/100

BNZ Stream Flow Data for submission to EcoTrends

This datafile if a product dataset that is for submission to the EcoTrends project with the LTER program. Data for a selected site was checked for quality issues and aggregated to a single daily average value. The source data can be accessed in the dataset Caribou-Poker Creeks Research Watershed: Daily Flow Rates for C2, C3, C4 (http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=142).

openOpenAug 2008View details →
edi44/100

Picophytoplankton and bacteria abundances analyzed with flow cytometry (FCM) from CCE-CalCOFI Augmented cruises in the California Current System, 2004 - 2023 (ongoing).

Picophytoplankton populations and non-pigmented prokaryotes are sampled within the California Current Ecosystem (CCE) for abundances from 3 to 8 depths at CalCOFI stations. Seawater is collected from Niskin bottles and cells are fixed in the field aboard the survey cruises (since 2004, ongoing) with paraformaldehyde, and stained with a DNA-specific dye back in the laboratory. The cells are enumerated by an Altra flow cytometer (with a syringe pump for volumetric sample delivery) simultaniously with argon ion lasers, to distinguish three major populations of photoautotrophs (Prochlorococcus, Synechococcus, and pico-eukaryotes) and the assemblage of heterotrophic prokaryotes collectively referred to as H-Bact.

openCC0Jun 2025View details →
edi44/100

Picophytoplankton and bacteria total carbon estimates from cell counts analyzed with flow cytometry (FCM) from CCE-CalCOFI Augmented cruises in the California Current System, 2004 - 2023(ongoing).

Picophytoplankton populations and non-pigmented prokaryotes are sampled within the California Current Ecosystem (CCE) for abundances from 3 to 8 depths at CalCOFI stations. Seawater is collected from Niskin bottles and cells are fixed in the field aboard the survey cruises (since 2004, ongoing) with paraformaldehyde, and stained with a DNA-specific dye back in the laboratory. The cells are enumerated by an Altra flow cytometer (with a syringe pump for volumetric sample delivery) simultaniously with argon ion lasers, to distinguish three major populations of photoautotrophs (Prochlorococcus, Synechococcus, and pico-eukaryotes) and the assemblage of heterotrophic prokaryotes collectively referred to as H-Bact. FCM abundance estimates for each are converted to carbon biomass equivalents using mixed-layer estimates.

openCC0Jun 2025View details →
edi44/100

Stage, flow, and suspended sediment data from nine "intensive" Coweeta-LTER watershed study sites from August 2010 to October 2011

Automated water samplers were deployed at nine "intensive" Coweeta-LTER watershed study sites from August 2010 to October 2011. They were set to record stream stage every 15 minutes. During six storm events, the samplers were set to collect 1000mL water samples hourly for 24 hours in order to sample suspended sediment during the rising and falling limbs of the hydrograph during storm flow.

openCustomJan 2020View details →
edi44/100

Water Level, Water Temperature, and Flow Measurements from the Ball Creek weir house #9, Coweeta Hydrologic Laboratory, Otto, NC.

This data set contains water level, water temperature, and calculated discharge values from the Ball Creek weir house #9, Coweeta Hydrologic Laboratory, Otto, NC. Using a pressure transducer, measurements are taken every 60 seconds with the average, minimum, and maximum values for water pressure and water temperature saved to the output data table hourly. Water level and discharge are calculated using the hourly average water pressure, and saved to the online data files.

openCustomJan 2020View details →
edi44/100

Bedload data (deposition from overland flow) measured at the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2010

This data package contains measurements of bedload samples (suspended particles) collected during overland flow events in the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2010. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). To collect water from overland flow events, four to six belowground catchment containers were installed in upslope and downslope buffer zones at each study plots. Bedload containers were monitored monthly 2008, 2009, and 2010. Bedload material collected by the containers during overland flow events was weighed and analyzed for organic matter content by the loss on ignition method. This study is complete and was the pilot study to the newer Cross Scale Interactions Study.

openCC (other)Jan 2020View details →
edi44/100

Microplankton counts from discrete water column samples using flow imaging microscopy (FlowCam) from Lakes Fryxell and Hoare, McMurdo Dry Valleys, Antarctica (2007-2011)

This data package consists of microplankton counts from discrete water column samples collected at various depths in Lake Fryxell and Lake Hoare in the McMurdo Dry Valleys region of Antarctica. Samples were collected and preserved during the austral summer-autumn transition in 2007-2008 and in addition to routine McMurdo Dry Valley Long Term Ecological Research (LTER) core limnological sampling in November and December of 2008, 2010, and 2011. Data were imaged using flow cytometry (FlowCam VS-IV) and classified with statistical image-based software (Visual Spreadsheet, v4.17.14). These data include haptorian ciliates, filamentous cyanobacteria, and coccoidal algae particle counts per milliliter that were automatically classified from user-built libraries and statistical filters based on the morphological characterizations of the plankton.

openCC (other)Mar 2024View details →
edi44/100

Haptorian ciliate measurements from discrete water column samples using flow imaging microscopy (FlowCam) from Lakes Fryxell and Hoare, McMurdo Dry Valleys, Antarctica (2007-2020)

This data package consists of particle diameter and biovolume data for haptorian ciliates classified from discrete water column samples collected at various depths in Lake Fryxell and Lake Hoare in the McMurdo Dry Valleys region of Antarctica. Samples were collected and preserved between November 2007 and January 2020 in Lake Fryxell and between November 2007 and March 2008 in Lake Hoare. Samples were collected and analyzed as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) core limnological sampling. Data were imaged using flow cytometry (FlowCam VS-IV) and imaged particles were classified with statistical image-based software (Visual Spreadsheet, v4.17.14). Diameter and biovolume was generated for each particle using FlowCam’s area-based diameter (ABD) algorithm.

openCC (other)Mar 2024View details →
edi44/100

MCR LTER: Coral Reef: Effects of Flow and Temperature on Growth and Photophysiology of Scleractinian Corals in Moorea, French Polynesia

To test for threshold effects in the response of coral physiology to increasing seawater flow, field and laboratory experiments were conducted in Moorea. First, the growth of juvenile massive Porites spp. and branching P. irregularis was compared among habitats differing in water motion. Growth of massive Porites spp. responded to flow in a pattern consistent with a threshold effect, whereas growth of P. irregularis increased linearly with flow. Second, a recirculating flume was used to test the effect of flow on photophysiology (ΔF⁄Fm'), effective photochemical efficiency) for massive Porites spp.; ΔF⁄Fm' displayed a threshold response at 23 cm/sec and 28 °C, but not at 31 °C. Finally, intra-colony variation in the response of ΔF⁄Fm' to flow and temperature was explored to evaluate the functional significance of colony shape in small corals. ΔF⁄Fm' on the top and upstream surfaces of massive Porites spp. responded with a threshold effect of flow at 28 °C (but not 31 °C), but ΔF⁄Fm' on downstream surfaces was unresponsive to flow. ΔF⁄Fm' for P. irregularis was less responsive to flow than for massive Porites spp., suggesting that the photophysiological response of corals to varying flow speeds may differ between species and morphologies. Together, these results emphasize that flow can have diverse effects on the physiology of corals, with the outcome depending on flow speed, temperature, location on the colony, and perhaps morphology. These data were published in The Biological Bulletin and were part of the masters thesis of W. Goldenheim (2011).

openCC (other)Dec 2012View details →
edi44/100

Biogeochemical rate data and sediment properties of samples used for a controlled flow through experiment testing the effect of nitrate on organic matter decomposition, PIE LTER, Plum Island Sound estuary, Massachusetts.

In this dataset, we used a controlled flow-through reactor (FTR) experiment to test the role of nitrate as an electron acceptor, and its effect on organic matter decomposition and the associated microbial community in salt marsh sediments. Organic matter decomposition significantly increased in response to nitrate, even at sediment depths typically considered resistant to decomposition. The use of isotope tracers suggests this pattern was largely driven by stimulated denitrification. Nitrate addition also significantly altered the microbial community and decreased alpha diversity, selecting for taxa belonging to groups known to reduce nitrate and oxidize more complex forms of organic matter. Fourier Transform-Infrared Spectroscopy further supported these results, suggesting that nitrate facilitated decomposition of complex organic matter compounds into more bioavailable forms. Taken together, these results suggest the existence of organic matter pools that only become accessible with nitrate and would otherwise remain stabilized in the sediment. The existence of such pools could have important implications for carbon storage, since greater decomposition rates as N loading increases may result in less overall burial of organic-rich sediment. Given the extent of nitrogen loading along our coastlines, it is imperative that we better understand the resilience of salt marsh systems to nutrient enrichment, especially if we hope to rely on salt marshes, and other blue carbon systems, for long-term carbon storage.

openCC (other)Jan 2020View details →
edi44/100

SBC LTER: Beach: Distribution of terrestrial organic material in intertidal and nearshore marine sediment due to debris flow response efforts

These data describe the distribution and processing of terrestrial organic material observed in the Santa Barbara Channel (Goleta Bay) during the spring of 2018. Specifically, beach, slough, and marine sediments were sampled during and after the debris disposal event that took place between January and February 2018 following the Thomas Fire and the subsequent Montecito Debris Flow. Data are contained in one table, including organic carbon, carbon isotope, lignin phenol, and pyrogenic carbon measurements analyzed from sediment cores collected at different depths and locations in the nearshore region.

openCC (other)Jun 2022View details →
edi44/100

Flow dynamics and pump kinematics in polychaete burrows constructed in a transparent mud analog

We used Particle Tracking Velocimetry (PTV) to measure fluid flow within burrows constructed by the polychaete Alitta succinea in a transparent mud analog. We also measured the kinematics of the undulatory pumping by the polychaete that drives flow through the burrow. The flow velocity data is presented in the spreadsheet worm_burrow_particle_tracking_data.csv and consists of the x and y coordinates (in mm) of each tracked particle, the time at which it was tracked (in seconds) and the velocity of the particle at that time (in mm per second). The ClipID is the reference of the video clip the data is from, and is a unique identifier. The SequenceID is retained between the pump dynamics data and the particle tracking data, because worm kinematics and flow dynamics were recorded simultaneously. Each tracked particle in a given sequence has a unique TrackID. The worm kinematics data consists of the track of the peak of the undulatory wave created as an individual polychaete ventilates its burrow and is presented in the spreadsheet worm_burrow_pump_dynamics_data.csv. The variables included are the x and y coordinates of the wave peak (in mm), the time at which the point was taken (in seconds) and the instantaneous velocity of the wave peak at that time (in mm per second). The ClipID is the reference of the video clip the data is from, and is a unique identifier. The SequenceID is retained between the pump dynamics data and the particle tracking data, because worm kinematics and flow dynamics were recorded simultaneously. Each tracked wave in a given sequence has a unique TrackID. The metadata, in the spreadsheet worm_burrow_metadata.csv, gives the polychaete Individual ID (a unique identifier for each specimen used) for each Clip ID and Sequence ID from the data spreadsheets, the location in the burrow at which the video was taken (between the head of the worm and the burrow entrance is "ahead", between the tail of the worm and the burrow exit is "behind", and a video of

openCustomMay 2024View details →
zenodo40/100

Simulation data and scripts for CFD-DEM simulation of saturated bi-disperse granular flows

<ul> <li>Data set 1 - contains the raw data required to replicate and validate all plots in the main article.&nbsp;</li> <li>Sample case - a .zip file which includes codes which are needed to simulate a CFD-DEM case of a steady granular flow in water with cyclic boundaries in the stream wise direction. Also enclosed is a ReadMe.txt file detailing the&nbsp;implementation instructions for&nbsp;both Esys particle and OpenFOAM codes. Download links for Esys particle and OpenFOAM are also included</li> <li>Geo file generator - a .zip file which&nbsp;includes Esys particle codes that can be used to generate a .geo file&nbsp;specifying&nbsp;the initial position of the particles used in the test simulations. A ReadMe.txt file is enclosed with more detailed implementation instructions.</li> </ul>

opencc-by-4.0Feb 2020View details →
zenodo40/100

Seagrass biomechanics and flow-seagrass interactions data

<p>This data package provides post-processed data used in the manuscript &ldquo;Temporal variability in biomechanics and within-plant heterogeneity regulate flow-seagrass interactions&rdquo;authored by Davide Vettori and Timothy I. Marjoribanks. The data package contains data obtained from direct measurement of maximum quantum yield of fluorescence, morphological characteristics and mechanical properties of the seagrass species <em>Zostera marina</em> collected in the Rodsand lagoon (DK). Further, data of seagrass drag force, biomass height, and deflected height computed by using a numerical model of flow-seagrass interactions are provided. The numerical model was parameterized using data from direct measurements.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Data on spatial distribution of tracers for optical sensing of stream surface flow

<p>Here, we present the numerical and field data used in the manuscript entitled <em>Spatial distribution of tracers for optical sensing of stream surface flow</em>. Numerical data were synthetically generated considering different values of seeding density and aggregation levels of tracers for image-velocimetry analyses. In total, 33,600 synthetic images were generated. Field data correspond with the Basento River case study located in southern Italy. The respective footage at 12 fps, pre-processed and stabilised frames, and reference velocity data are provided in this dataset.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Alya Eulerian LES results fire extinction nozzle low mass flow rate (paraview files)

<p>The present data complements the&nbsp;Deliverable 5.2. Toolchain V2 to couple CFD and multiple&nbsp;droplet and continuous droplet models.It includes a paraview file (*pvd)&nbsp;for the&nbsp;continuous droplet model (Eulerian-Eulerian) with&nbsp;an inlet mass flow rate of &nbsp;0.05 kg/s.&nbsp;</p> <p>The unstructured mesh employed to simulate the injector system is composed by 81.6&nbsp;million tetrahedrons that include the internal ow in the nozzle and the discharged atmosphere. Three levels of refinement are considered to characterize the internal ow and&nbsp;the near eld after the expansion, the jet penetration up to 15D (being D=2mm, the&nbsp;diameter of the nozzle) and the surrounding air with mesh resolution of 0.1, 0.3 and 1.5&nbsp;mm respectively.&nbsp;A conservative level set is used in combination a a second order low dissipation finite element scheme and the LES model Vreman.&nbsp;</p> <p>Considered variables are:&nbsp;</p> <p>&nbsp; &nbsp; &nbsp;&nbsp;&lt;PDataArray type=&quot;Float64&quot; Name=&quot;AVD32_average&quot;/&gt; : average&nbsp;particle size distribution</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;AVDEN_average&quot;/&gt; : average density</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;AVL&nbsp; _average&quot;/&gt; : average liquid fraction</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;AVL2 _average&quot;/&gt;: average square liquid fraction&nbsp;</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;AVS&nbsp; _average&quot;/&gt;:&nbsp;average surface density</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;AVS0 _average&quot;/&gt;:&nbsp;average surface density 0</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;CON01_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;CON02_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;CON03_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;CON04_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;D32&nbsp; _average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;DENSI_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;PRESS_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;SIGM0_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;SIGMA_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;TURBU_average&quot;/&gt;: not relevant (instantaneous values)</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;VELOC_average&quot; NumberOfComponents=&quot;3&quot;/&gt;: average velocity</p> <p>&nbsp; &nbsp; &nbsp; &lt;PDataArray type=&quot;Float64&quot; Name=&quot;VISCO_average&quot;/&gt;: not relevant (instantaneous values)</p>

opencc-by-4.0Apr 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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