{"dcterms:modified":"2024-01-18","dcterms:creator":"heiDATA","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.0","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.1 build 1590-f5d1299","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://heidata.uni-heidelberg.de/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.11588/data/7NEEKF","ore:describes":{"author":[{"citation:authorName":"Kreyenberg, Philipp J.","citation:authorAffiliation":"Institute of Environmental Physics (IUP), Heidelberg University, Germany"},{"citation:authorName":"Bauser, Hannes H.","citation:authorAffiliation":"Institute of Environmental Physics (IUP), Heidelberg University, Germany; Biosphere 2, University of Arizona, Tucson, AZ, USA"},{"citation:authorName":"Roth, Kurt","citation:authorAffiliation":"Institute of Environmental Physics (IUP), Heidelberg University, Germany; Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany"}],"citation:dsDescription":{"citation:dsDescriptionValue":"This data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional
\r\nNeural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the
\r\nMiddlebury .flo file format (http://vision.middlebury.edu/flow/code/flow-code/README.txt).
"},"citation:datasetContact":{"citation:datasetContactName":"Kreyenberg, Philipp","citation:datasetContactAffiliation":"Institute of Environmental Physics (IUP), Heidelberg University, Germany","citation:datasetContactEmail":"philipp.kreyenberg@iup.uni-heidelberg.de"},"title":"Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]","subject":["Earth and Environmental Sciences","Physics"],"language":"English","citation:notesText":"
\r\nThe data are organized in the following manner:
\r\n
\r\nThe synthetic data that is generated by the numerical simulation are contained in the ‘numerical_experiment’ zip-archive.
\r\nThe archive contains the training and validation data sets in ‘01_training_data_set’ that are used to train and validate the
\r\nconvolutional neural network. The files ‘img_pair_train_list.txt’ and ‘img_pair_validation_list.txt’ specify the image pairs
\r\nand the corresponding true velocity fields of the training and validation data set respectively. The directory
\r\n‘velocity_field_estimation_on_validation_set’ contains the estimated velocity fields on the validation data set using the convolutional
\r\nneural network.
\r\n‘02_test_data_set’ contains the test data set with the image pairs and the corresponding true velocity fields
\r\n(also specified in ‘img_pair_test_list.txt’). The directory ‘velocity_field_estimation_on_test_set’ contains the
\r\nestimated velocity fields on the test data set using the convolutional neural network.
\r\n‘03_propagated_concentration_fields’ contain conentration fields that are propagated by either the true or the estimated
\r\nvelocity fields.
\r\n
\r\nThe data of the laboratory experiment is contained in the ‘laboratory_experiment’ zip-archive. The directory
\r\n‘velocity_field_estimation_on_laboratory_experiment’ contains the estimated velocity fields on the laboratory experiment. The
\r\nestimated velocity fields with time step index i is estimated between the concentrations fields with time step index i and
\r\nindex i+1.
\r\n
\r\nThe following overview specifies the data underlying the figures in the publication:
\r\n
\r\nFigure 2:
\r\nnumerical_experiment /01_training_data_set/0002436_Ra4000_c_h0.ppm
\r\nnumerical_experiment /01_training_data_set/0002436_Ra4000_v_h.flo
\r\nnumerical_experiment/01_training_data_set/velocity_field_estimation_on_validation_set/0002436_FlowNet2-s_edit_ver_13_iter_120000.flo
\r\n
\r\nFigure 3:
\r\nnumerical_experiment/02_test_data_set/0000511_Ra5750_c_h0.ppm
\r\nnumerical_experiment/02_test_data_set/0000511_Ra5750_v_h.flo
\r\nnumerical_experiment/02_test_data_set/velocity_field_estimation_on_test_set/0000511_FlowNet2-s_edit_ver_13_iter_120000.flo
\r\n
\r\nFigure 4:
\r\nall files in numerical_experiment/01_training_data_set/velocity_field_estimation_on_validation_set
\r\nall files in numerical_experiment/02_test_data_set/velocity_field_estimation_on_test_set
\r\n
\r\nFigure 5: same files as Figure 2
\r\n
\r\nFigure 6: same files as Figure 3
\r\n
\r\nFigure 7:
\r\nnumerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_true_concentration_step_01.ppm
\r\nnumerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_true_concentration_step_03.ppm
\r\nnumerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_true_concentration_step_10.ppm
\r\nnumerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_propagated_with_estimated_flow_step_01.ppm
\r\nnumerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_propagated_with_estimated_flow_step_03.ppm
\r\nnumerical_experiment/03_propagated_concentration_fields/0002391_Ra4000_c_h0_propagated_with_estimated_flow_step_10.ppm
\r\nlaboratory_experiment/propagated_concentration_fields/25_conc_field_0025_true_concentration_step_01.ppm
\r\nlaboratory_experiment/propagated_concentration_fields/26_conc_field_0025_true_concentration_step_02.ppm
\r\nlaboratory_experiment/propagated_concentration_fields/29_conc_field_0025_true_concentration_step_05.ppm
\r\nlaboratory_experiment/propagated_concentration_fields/25_conc_field_0025_propagated_with_estimated_flow_step_01.ppm
\r\nlaboratory_experiment/propagated_concentration_fields/26_conc_field_0025_propagated_with_estimated_flow_step_02.ppm
\r\nlaboratory_experiment/propagated_concentration_fields/27_conc_field_0025_propagated_with_estimated_flow_step_03.ppm
\r\n
\r\nFigure 8:
\r\nlaboratory_experiment/conc_field_0029.ppm
\r\nlaboratory_experiment/flow_field_estimation_on_laboratory_experiment/conc_field_0029_v_h.flo
\r\n
\r\nFigure 9: all files in laboratory_experiment/propagated_concentration_fields
\r\n
\r\nFigure B.1: all files in numerical_experiment/03_propagated_concentration_fields
\r\n