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Title Creator Institution Body Date Last Updated Resource Type Coverage Related Resources Contributors Keywords Rights management Data & Papers Related Wikis
Ensemble Distributions of Particle Motions Fathel, Siobhan L., David, Furbish J., Schmeeckle, Mark W. Vanderbilt University, Arizona State University

Data here was collected at the River Dynamics Laboratory at Arizona State University.  Measurements of particle motions were obtained using a manual tracking method within the program ImageJ.  The data include 1250 frames or 5 seconds of high-speed imagery, associated coordinates of particle motions, and derived measurements of particle motions (e.g. instantaneous velocities, particle accelerations, hop distances, and travel times).  

Monday, February 6, 2017 collection
Dates Collected: 
Monday, February 6, 2017
Siobhan Fathel
Vanderbilt University
sediment transport, flume, ensemble distributions CC-BY Recirculating Flume – River Dynamics Laboratory at Arizona State UniversityManual Measurements of Distributions of Particle MotionsHigh-Speed Imaging and Manual Tracking of Sediment Transport
Data for Experiments on Massive Deposits in Upper Regime Hernandez Moreira, Ricardo, R. University of South Carolina, Columbia Friday, January 27, 2017 dataset

Geolocation is 33.989864, -81.02733899999998

Dates Collected: 
Friday, January 27, 2017
Hernandez Moreira, Ricardo, R.
University of South Carolina, Columbia
CC-BY University of South Carolina, Columbia Hydraulics Laboratory
Steadiness of dilute, particle-laden density currents Andrews, Benjamin J. Smithsonian Institution

We conducted experiments to examine how steadiness-unsteadiness of source parameters is reflected in density currents in air. We ran experiments with other wise steady supply broken by two intervals (e.g. 30-10-30-10-30, or 30-5-30-5-30, where currents were supplied for 3 intervals of 30 s separated by 10 or 5 second pauses). 

Experiments were monitored using orthgonal laser sheets, with video data recorded in the streamwise vertical and horizontal planes; data have been orthorectified and processed for turbulent timescales and Feature-tracking-velocimetry velocity fields. Temeprature data were recorded at 3 Hz using 0.001" K-type thermocouples. 

Please contact Ben Andrews for access to data:  

Tuesday, January 17, 2017 dataset
Dates Collected: 
Thursday, January 15, 2015 to Wednesday, April 15, 2015
Benjamin Andrews
Smithsonian Institution
density currents, pyroclastic, turbulence Data are property of Smithsonian Institution, but may be used for research and educational purposes with permission of author Smithsonian InstitutionParticle-laden density currents in air
Distribution of particle excursion lengths across a wide range of Rouse numbers Suleyman Naqshband University of Wyoming

Particle motion and travel lengths were measured for a wide range of flow conditions using a recirculating plexiglass flume at the University of Wyoming. The flume was 3.25 m x 0.1 m with an effective measuring section of 2.45 m. A series of 8 video cameras was installed each covering 20.0 cm streamwise distance of the effective measuring length and 15.0 cm in the vertical. Each camera imaged at 25 frames per second with 1080x1920 pixel resolution covering a total length of 1.60 m that provided the basis for tracking particle motions over relatively large distances. The test section of 1.60 m was located 0.80 m downstream from the flow entrance to ensure fully developed turbulence.Experiments were carried out in dark under black lights with fluorescent painted plastic and sand particles.


Sunday, September 18, 2016 dataset
Dates Collected: 
Tuesday, March 1, 2016 to Wednesday, June 1, 2016
Brandon McElroy, Robert C. Mahon
University of Wyoming
particle dynamics, particle motion, excursion length CC-BY University of Wyoming
Experiments on the morphodynamics of alluvial-bedrock transitions Sadegh Jafarinik, Ricardo Hernandez Moreira, Enrica Viparelli University of South Carolina

The data have been measured during mixed bedrock-alluvial experiments at the Hydraulic Laboratory of the University of South Carolina (Oct 15-May 16). The data include water surface elevation, Grain size distribution of the bed surface and parent material, bed surface elevation and some videos showing the alluvial-bedrock transitions and Paralaminations. There is also a powerpoint file which explains all the data in details. 

Monday, September 5, 2016

Geolocation is 33.9899258, -81.02804500000002

Dates Collected: 
Friday, October 2, 2015 to Sunday, May 15, 2016
Sadegh Jafarinik
Universoty of South Carolina
The morphology of mixed bedrock-alluvial low slope systems CC-BY
Grainsize transition with sea-level rise Kim, Wonsuck, Baumanis, Carolina University of Texas, Austin

A set of flume experiments to examine the grain-size transition migration in response to sea level rise. 

Read more about the experiments:

Baumanis, C. and Kim, W. (2016), Reverse migration of lithofacies boundaries and shoreline in response to sea-level rise. Basin Res. doi:10.1111/bre.12209

Thursday, July 21, 2016 dataset

Geolocation is 30.28571386684493, -97.73661732673645

Dates Collected: 
Tuesday, April 7, 2015 to Wednesday, May 27, 2015
Kim, Wonsuck
University of Texas, Austin
delta, flume, experiment, grainsize, sea level, experimental stratigraphy CC-BY
Density Current Confluence Velocity Data Ismail, Hassan, Imran, Jasim, Viparelli, Enrica University of South Carolina

Data collected and processed by H. Ismail et al during density current confluence experiments at the University of South Carolina Hydraulics Lab (2013-2015). In all files, x, y, and z denote down-stream, cross-channel, and vertical coordinates, respectively. The origin is the upstream junction point on the flume bed. u and v denote velocity in the x and y directions, respectively. U and H are depth-averaged velocity and current thickness, respectively.

"vertical-profiles-u.xlsx" contains down-stream (u) velocity versus distance from the bed at 9 locations along the main channel centerline.
"horizontal-u.xlsx" and "horizontal-v.xlsx" contain measurements of down-stream (u) and cross-channel (v) data at 3000 data points located on five horizontal planes in the vicinity of the junction in the main channel.
"layer-averaged.xlsx" contains computed depth-averaged velocity and current thickness for each profile defined by the data in "vertical-profiles-u.xlsx".

Friday, July 1, 2016 dataset

Geolocation is 34.6694235, -82.8269201

Dates Collected: 
Tuesday, January 1, 2013 to Thursday, January 1, 2015
Ismail, Hassan
University of South Carolina
density current, river confluence, sediment transport, seafloor morphology, confluence CC-BY
Fold erosion by an antecedent river Bufe, Aaron Saint Anthony Falls Laboratory, Minneapolis, MN

This collection contains the photographs and the topographic scans of the experiments published in Bufe A., Paola C., Burbank D.W., 2016. Fluvial bevelling of topography controlled by lateral channel mobility and uplift rate. Nature Geoscience., 9(9), 706-710, doi:10.1038/ngeo2773.

For each experiment photographs were taken at regular intervals with a 10.5-mm, f/2.8 fisheye lens mounted on a DSLR camera. Fisheye distortion was removed using the inbuilt lens correction in Photoshop CS6 and were tilted such that the average slope of the alluvial fan is horizontal. Photos taken while the water was not running or when the dye feed was interrupted were not used. Moreover, for Run 4 only photographs from the first 25 h of runtime were processed and uploaded to the repository. All raw unprocessed images can be obtained upon request.

Topographic data of the basin were acquired using a custom built laser scanner that was programmed to cover the entire basin except for its upper ~5% (~25 cm), in six swaths. The scans are provided as .dat file and have 4672 by 3001 mm2 sized pixels.

To open the datafile in MATLAB :


A=fread(id,[4672 3001],'float');


The Metadata for the experiments is summarized in an excel spreadsheet. For each run there are entries about the input parameters as well as the timing of uplift events and the timing of topographic scans.

Sunday, June 12, 2016 dataset
Dates Collected: 
Tuesday, September 30, 2014 to Saturday, November 15, 2014
Bufe, Aaron
University of California Santa Barbara
tectonic geomorphology, fluvial, erosion, Fan, fold, channel mobility CC-BY
Time-lapse images from SEN-CSDMS rigid lid experiment Positive Feedback SEN-CSDMS Group 2

Prograding delta built under a stationary lid to simulate the back-pressure of a backwater effect. Delta built with:

  • Dyed water
  • Plastic, colored sediments

This delta was built in a "desktop experiment" as part of the CSDMS-SEN 2016 meeting.

Wednesday, May 18, 2016 dataset

Geolocation is 40.0096095, -105.24228490000002

Dates Collected: 
Wednesday, May 18, 2016
Wonsuck Kim
University of Texas
Mouth bar, delta, desktop experiment, traveling experiment, time-lapse images, plastic sediments CC-BY Table Top Delta Basin with Rigid Lid, Digital Camera (Canon G1X), Sediment Feeder, Silo, Muto Bottle
Delta Veg Piliouras, Anastasia University of Texas at Austin

Experiments conducted with alfalfa to observe how plants change delta growth and dynamics. There are 6 runs. Runs 1-4 have constant discharge, Runs 5-6 have fluctuating discharge. Runs 1 and 5 are control runs with no plants, and Runs 2-4 and 6 have plants with varying growing conditions. All experiments have 2cm water depth and 150um silica sand. The data and more details can be found on the SEN SEAD page, or contact to obtain the dataset.

Thursday, October 15, 2015
Dates Collected: 
Sunday, January 1, 2012 to Thursday, August 1, 2013
delta, vegetation CC-BY
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