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Title Creator Institution Body Date Last Updated Resource Type Coverage Related Resources Contributors Keywords Rights management Data & Papers Related Wikis
2d bedload transport experiments with glass spheres Martin, Raleigh L. University of Pennsylvania
Experiments with marbles in Penn Sediment Dynamics flume.  Steady water and particle feed for each experiment, but variations in particle feed rate among experiments.
 
Channel width ~19 cm, particles only slightly smaller (D1 ~ 12 mm, D2 ~ 16 mm).  Thus, dynamics are quasi-2d.
 
Three types of image data captured:
1. High speed videos (with frame rates ranging from 240-1000 Hz) captured with Phantom High Speed camera.  These were intended to capture dynamics of particle collisions and damage propogation.
 
2. Time lapse photos (with frame rates ranging from 0.1-0.5 Hz) captured with Nikon D5000 (for experiments up to 26Jan2013) and Nikon D5200 (for subsequent experiments).  These were intended to explore evolution of the sedimentary bed and particle waiting times through time.
 
3. Webcam videos (with frame rate of 30 Hz) captured with Logitech webcam.  The webcam was set up at the end of the flume, and it is hoped that these videos can help to extract the particle flux.
 
Not all types of data were collected for all experiments.  The details of the individual experiments can be found in the "Notes" files with the associated dates of the experiments.
 
The "RawData" folders contain the original images from the various cameras (as well as the associated settings files for creating these images).  The "ProcessedData" folders contain processed images (cropped and rotated) for the relavant imaging area.  They also contain esimates of bed surface elevations and particle centroids determined by image analysis.
 
The experiments with TimeLapse have been renamed for publication, with the title including the feed rate for the experiments.  These are:
S12 -- 16Jul2013
S30 -- combined 2Nov2012 and 13Nov2012
S60 -- 26Jan2013
S90 -- 09Aug2013
S120 -- 31Jul2013
 
The "ProcessedData" folders also contain the scripts used for processing the data.  This has been done by a combination of Fiji (.ijm), Python (.py), and MATLAB (.m) scripts.  The '09Aug2013' folder contains the latest scripts for analysis of timelapse experiments.  The important ones are:
 
MODULE_images.py -- a module to be called by other Python scripts when processing the images
process_timelapse.py -- rotates and crops images, then spits them back out into "ProcessedImages" folder as .jpgs.  Note: need to look at some raw images to get parameters for processing.
extract_bedsurface.py -- reads in processed images and estimates bed surface elevation (in pixels), spits out text files into "BedSurface" with bed surface elevations. Note, need to look at some processed to get parameters for processing.
particles_FIJI.ijm -- reads in processed images and determines centroids (in pixels) of all particles.  Avoids particles on edges of image.  Spits out .csv files with these coordinates into "Particles" folder.  Note, need to look at some raw images to get parameters for processing.
BedSurfaceMATLABimport.m -- reads in .txt bed surface pixel elevations and converts to bed surface elevations in mm in a single .mat file which can be used for subsequent analysis
ParticlesMATLABimport.m -- reads in .csv particle files and links together into particle trajectories, saving as a single .mat file with all positions trajectories in mm.
 
The two "useful" processed data files are "[DATE]_BedSurface.mat" (with bed surface elevations) and "[DATE]_Particles.mat" with particle trajectories.
 
See the '26Jan2013' processed data folder for most up-to-date scripts for processing high-speed videos.  Probably, it would be better to use some of the scripts described above for these data, but I just haven't had the chance to revisit the high-speed videos in a while.  The functions of the scripts are pretty self-explanatory from the titles.  The data contained in the folder are:
 
'V[].mat' contains particle trajectory information.  Similar to the "[DATE]_Particles.mat" file described above for time-lapse.  'V[].xls' contains the particle centroids determined by Fiji image analysis.  'V[]_bedsurface.mat' contains bed surface elevations, similar to file described above for time-lapse.  'V[]_movie.mat' and '....tif' contain movies of particle motions as cartoons with hollow spheres and particle identifiers instead of the raw images.  Useful for locating particle indices when looking at the trajectory files for analysis.
 
Friday, January 10, 2014 dataset
Location: 

Geolocation is 39.9507247, -75.191285

Dates Collected: 
Friday, November 2, 2012 to Wednesday, July 31, 2013
Name: 
Martin, Raleigh L.
Institution: 
University of Pennsylvania; University of California Los Angeles
contributor_email: 
sediment transport, bed load, bed evolution CC-BY
Project Kinect C# version Kline, Greg The University of Texas at Austin

A freeware C# version of a highly successful LabVIEW VI by the same author.  Lets any Windows Kinect be turned into a topography scanner.

Saturday, December 21, 2013 Software
Location: 

Geolocation is 30.2861062, -97.7393634

Dates Collected: 
Saturday, December 21, 2013
Name: 
Greg Kline
Institution: 
The University of Texas at Austin
contributor_email: 
CC-BY
Community Experiment: Stratodynamics 2013 Sediment Experimentalists

Delta growth on differential bathymetry

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 32.7861288, 129.86465859999998

Dates Collected: 
Wednesday, August 28, 2013
Name: 
Sediment Experimentalist
contributor_email: 
delta CC-BY
Vertical sorting in bed forms Blom, Astrid WL Delft Hydraulics, The Netherlands

Two sets of flume experiments were conducted to examine grain size selective transport and vertical sorting in conditions with migrating bed forms and bed load transport. In the two sets of experiments we used a sediment mixture from the river Rhine and a trimodal mixture, respectively. The vertical sorting profiles showed a downward coarsening trend within the bed forms, and in some experiments an essentially immobile coarse bed layer formed underneath the migrating bed forms.

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 51.9987925, 4.3755870999999615

Dates Collected: 
Saturday, December 21, 2013
Name: 
Astrid Blom
Institution: 
WL Delft Hydraulics, The Netherlands
contributor_email: 
CC-BY
Morphodynamics on ice Naito, Kensuke Hokkaido University, Japan

Experiments to study boundary waves formed on ice surfaces.

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 43.0721697, 141.3418792

Dates Collected: 
Saturday, January 1, 2011 to Sunday, January 1, 2012
Name: 
Naito, Kensuke
Institution: 
Hokkaido University, Japan
contributor_email: 
CC-BY
Experimental alluvial fan evolution: Channel dynamics, slope controls, and shoreline growth Reitz, Meredith University of Pennsylvania

We describe the growth of a series of experimental alluvial fans composed of a noncohesive grain mixture bimodal in size and density. We impose conditions that simulate a gravel/sand fan prograding into a static basin with constant water and sediment influx, and the resulting fans display realistic channelization and avulsion dynamics. Collected at the Penn Sediment Dynamics Laboratory.

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 39.9507247, -75.191285

Dates Collected: 
Tuesday, January 1, 2008 to Thursday, January 1, 2009
Name: 
Meredith Reitz
Institution: 
Lamont-Doherty Earth Observatory, Columbia University
contributor_email: 
CC-BY
Community Experiment: Experimental Stratigraphy 2012 Sediment Experimentalists

STEP basin experiment with two different wavelengths of sediment discharge fluctuations. Community experiment at the first Sediment Experimentalists Workshop. University of Texas at Austin, Morphodynamics Lab, Sediment Transport and Earth-surface Processes (STEP) Basin

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 30.3855901, -97.7236211

Dates Collected: 
Monday, December 10, 2012 to Wednesday, December 12, 2012
Name: 
Wonsuck Kim
Institution: 
University of Texas at Austin
contributor_email: 
delta CC-BY
Deltas with Waves and Tides Abeyta, Antoinette; Baumgardner, Sarah University of Minnesota

Construction of deltas with different materials and wave and tide conditions.

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 44.9823831, -93.25481289999999

Dates Collected: 
Saturday, January 1, 2011 to Sunday, January 1, 2012
Name: 
Antoinette Abeyta
Institution: 
University of Minnesota
contributor_email: 
,
Name: 
Sarah Baumgardner
Institution: 
University of Minnesota
contributor_email: 
delta CC-BY
Dynamics of Steady-State Drainage Basins: An Experimental Approach Les Hasbargen University of Minnesota

Time lapse imagery of small experimental landforms, and statistics on land form and erosion rates.

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 44.9824832, -93.25508589999998

Dates Collected: 
Sunday, July 1, 2001 to Wednesday, August 1, 2001
Name: 
Les Harbargen
Institution: 
SUNY Oneonta
contributor_email: 
CC-BY
Meandering in coarse-bedded rivers Christian Braudrick University of California, Berkeley

We report an experiment in which meandering with near-constant width was maintained during repeated cutoff and regeneration of meander bends. Measurements include discharge, channel width, sinuosity change, and channel position through time.

Saturday, December 21, 2013 dataset
Location: 

Geolocation is 37.9169912, -122.32991520000002

Dates Collected: 
Monday, January 1, 2007 to Tuesday, January 1, 2008
Name: 
Christian Braudrick
Institution: 
University of California, Berkeley
contributor_email: 
CC-BY
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