DOI: 10.5281/zenodo.3407126
title: Experiments on Grain Size Segregation in Bedload Transport on a steep Slope

description: This dataset is the basis of the publication: Frey, P., Lafaye de Micheaux, H., Bel, C., Maurin, R., Rorsman, K., Martin, T., Ducottet, C., 2020. Experiments on grain size segregation in bedload transport on a steep slope. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2019.103478. Experiments consisted in bedload of two-size spherical glass beads transported at equilibrium by a turbulent supercritical free surface water flow over a mobile bed. Two runs, one with a low rate of large black beads (S6), the other with a higher rate (S20), are considered. This dataset consists in: - temporal sequences of uncompressed tif images corresponding to figure 5 showing small particle concentration : 9 sequences for run S6 (BillesBaumerMicro) and 9 sequences for run S20 (BillesbaumerAmontSequence) - two ‘.mat’ file corresponding to runs S6 (trackData_Micro_S6.mat) and S20 (trackData_Amont_S20.mat) giving all the trajectories of all beads. Trajectories were obtained with a tracking algorithm developed by H. Lafaye de Micheaux et al. (2016,2018) building on Hergault et al. (2010). The code implementing the tracking algorithm is available on https://github.com/hugolafaye/BeadTracking. The files contain the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence giving in particular the coordinate and velocity of each bead. Complete information on data format is given in the file readme.txt in the github BeadTracking package. Parameter files necessary to replicate our results from the images are also available on the BeadTracking package as well as on https://doi.org/10.5281/zenodo.3454628 where a 1000-image ground truth is stored. Important note: Experimental images were grabbed with the flow from right to the left implying for instance negative values for the x-coordinate of velocities. To comply with a traditional convention, images and associated results in the publication are shown from left to the right.
description: Funding by 'Agence nationale de la recherche' project SegSed ANR-16-CE01-0005 and LabEx OSUG@2020 (Investissements d'avenir – ANR10 LABX56)
description: {"references": ["Lafaye de Micheaux, H., Ducottet, C., Frey, P. (2018). Multi-model particle filter-based tracking with switching dynamical state to study bedload transport. Machine Vision and Applications, Springer Nature, 29(5), 735-747. doi: https://doi.org/10.1007/s00138-018-0925-z", "Lafaye de Micheaux, H., Ducottet, C., Frey, P. (2016). Online multi-model particle filter-based tracking to study bedload transport. International Conference on Image Processing (ICIP), IEEE, 3489-3493. doi: https://doi.org/10.1109/ICIP.2016.7533008", "Hergault, V., Frey, P., M\u00e9tivier, F., Barat, C., Ducottet, C., B\u00f6hm, T., Ancey, C. (2010). Image processing for the study of bedload transport of two-size spherical particles in a supercritical flow. Experiments in Fluids, Springer, 49(5), 1095-1107. doi: https://doi.org/10.1007/s00348-010-0856-6", "Frey, P., Lafaye de Micheaux, H., Bel, C., Maurin, R., Rorsman, K., Martin, T., Ducottet, C. (2020). Experiments on grain size segregation in bedload transport on a steep slope. Advances in Water Resources 136, https://doi.org/10.1016/j.advwatres.2019.103478."]}