10.11588/data/7NEEKFKreyenberg, Philipp J.Philipp J.KreyenbergInstitute of Environmental Physics (IUP), Heidelberg University, GermanyBauser, Hannes H.Hannes H.BauserInstitute of Environmental Physics (IUP), Heidelberg University, Germany; Biosphere 2, University of Arizona, Tucson, AZ, USARoth, KurtKurtRothInstitute of Environmental Physics (IUP), Heidelberg University, Germany; Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, GermanyVelocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]heiDATA2019Earth and Environmental SciencesPhysicsKreyenberg, PhilippPhilippKreyenbergInstitute of Environmental Physics (IUP), Heidelberg University, Germany2019-05-212223818018948045166739498664591video/mp4application/zipapplication/ziptext/plain1.0This data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional<br> Neural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the<br> Middlebury .flo file format (<a href="http://vision.middlebury.edu/flow/code/flow-code/README.txt">http://vision.middlebury.edu/flow/code/flow-code/README.txt</a>).<br><p> The data are organized in the following manner:<br> </p> <p> The synthetic data that is generated by the numerical simulation are contained in the ‘numerical_experiment’ zip-archive.<br> The archive contains the training and validation data sets in ‘01_training_data_set’ that are used to train and validate the<br> convolutional neural network. The files ‘img_pair_train_list.txt’ and ‘img_pair_validation_list.txt’ specify the image pairs<br> and the corresponding true velocity fields of the training and validation data set respectively. The directory<br> ‘velocity_field_estimation_on_validation_set’ contains the estimated velocity fields on the validation data set using the convolutional<br> neural network.<br> ‘02_test_data_set’ contains the test data set with the image pairs and the corresponding true velocity fields<br> (also specified in ‘img_pair_test_list.txt’). The directory ‘velocity_field_estimation_on_test_set’ contains the<br> estimated velocity fields on the test data set using the convolutional neural network.<br> ‘03_propagated_concentration_fields’ contain conentration fields that are propagated by either the true or the estimated<br> velocity fields.<br> </p> <p> The data of the laboratory experiment is contained in the ‘laboratory_experiment’ zip-archive. The directory<br> ‘velocity_field_estimation_on_laboratory_experiment’ contains the estimated velocity fields on the laboratory experiment. The<br> estimated velocity fields with time step index i is estimated between the concentrations fields with time step index i and<br> index i+1.<br> </p> <p> The following overview specifies the data underlying the figures in the publication:<br> </p> <p> Figure 2:<br> numerical_experiment /01_training_data_set/0002436_Ra4000_c_h0.ppm<br> numerical_experiment /01_training_data_set/0002436_Ra4000_v_h.flo<br> numerical_experiment/01_training_data_set/velocity_field_estimation_on_validation_set/0002436_FlowNet2-s_edit_ver_13_iter_120000.flo<br> </p> <p> Figure 3:<br> numerical_experiment/02_test_data_set/0000511_Ra5750_c_h0.ppm<br> numerical_experiment/02_test_data_set/0000511_Ra5750_v_h.flo<br> numerical_experiment/02_test_data_set/velocity_field_estimation_on_test_set/0000511_FlowNet2-s_edit_ver_13_iter_120000.flo<br> </p> <p> Figure 4:<br> all files in numerical_experiment/01_training_data_set/velocity_field_estimation_on_validation_set<br> all files in numerical_experiment/02_test_data_set/velocity_field_estimation_on_test_set<br> </p> <p> Figure 5: same files as Figure 2<br> </p> <p> Figure 6: same files as Figure 3<br> </p> <p> Figure 7:<br> numerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_true_concentration_step_01.ppm<br> numerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_true_concentration_step_03.ppm<br> numerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_true_concentration_step_10.ppm<br> numerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_propagated_with_estimated_flow_step_01.ppm<br> numerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_propagated_with_estimated_flow_step_03.ppm<br> numerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_propagated_with_estimated_flow_step_10.ppm<br> laboratory_experiment/propagated_concentration_fields/25_conc_field_0025_true_concentration_step_01.ppm<br> laboratory_experiment/propagated_concentration_fields/26_conc_field_0025_true_concentration_step_02.ppm<br> laboratory_experiment/propagated_concentration_fields/29_conc_field_0025_true_concentration_step_05.ppm<br> laboratory_experiment/propagated_concentration_fields/25_conc_field_0025_propagated_with_estimated_flow_step_01.ppm<br> laboratory_experiment/propagated_concentration_fields/26_conc_field_0025_propagated_with_estimated_flow_step_02.ppm<br> laboratory_experiment/propagated_concentration_fields/27_conc_field_0025_propagated_with_estimated_flow_step_03.ppm<br> </p> <p> Figure 8:<br> laboratory_experiment/conc_field_0029.ppm<br> laboratory_experiment/flow_field_estimation_on_laboratory_experiment/conc_field_0029_v_h.flo<br> </p> <p> Figure 9: all files in laboratory_experiment/propagated_concentration_fields<br> </p> <p> Figure B.1: all files in numerical_experiment/03_propagated_concentration_fields<br> </p>