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ND2AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign., , , , , , and . Computat. and Visualiz. in Science, 17 (1): 1-18 (2015)In-Situ Feature Extraction of Large Scale Combustion Simulations Using Segmented Merge Trees., , , , , , and . SC, page 1020-1031. IEEE, (2014)Efficient I/O and Storage of Adaptive-Resolution Data., , , , , , , , and . SC, page 413-423. IEEE, (2014)Multivariate volume visualization through dynamic projections., , , , and . LDAV, page 35-42. IEEE Computer Society, (2014)Rendering and Extracting Extremal Features in 3D Fields., , , , , and . Comput. Graph. Forum, 37 (3): 525-536 (2018)Topological Feature Extraction for Comparison of Terascale Combustion Simulation Data., , , , , and . Topological Methods in Data Analysis and Visualization, Springer, (2011)Analysis of large-scale scalar data using hixels., , , , , , and . LDAV, page 23-30. IEEE Computer Society, (2011)Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum., , , and . ICASSP, page 5436-5440. IEEE, (2019)A Practical Approach to Two-Dimensional Scalar Topology., and . Topology-based Methods in Visualization, Springer, (2007)Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network., , , , , , , , , and 13 other author(s). HPDC, page 316-319. ACM, (2010)