1 to 10 of 42 Results
Oct 14, 2026 - Stochastic Simulation and Safety Research for Hydrosystems (LS3)
Wildt, Nils, 2026, "Replication Data for: Fast Karhunen-Loève Expansions via FFT-Accelerated Toeplitz Operators", https://doi.org/10.18419/DARUS-6487, DaRUS, V1, UNF:6:cttgmfUtMm0+M5wmagzMzA== [fileUNF]
For a stationary kernel on an equispaced tensor grid, the covariance matrix is Toeplitz in 1-D and block-Toeplitz-with-Toeplitz-blocks (BTTB) in d dimensions. Embedding it in a circulant array and diagonalizing that embedding with the FFT turns a matrix-vector product into O(N log N) time and O(N) storage, so a Krylov eigensolver finds the leading... |
Oct 7, 2026 - Stochastic Simulation and Safety Research for Hydrosystems (LS3)
Scheurer, Stefania; Frenner, Riccardo; Bruennette, Tim; Oladyshkin, Sergey; Nowak, Wolfgang, 2026, "Replication Data for: Efficient Confidence Interval Computation for Physics-Aware Machine Learning of Diffusion-Sorption Models", https://doi.org/10.18419/DARUS-5967, DaRUS, V1, UNF:6:+gEES8LITw2YkntYAMuceg== [fileUNF]
Supplementary code to replicate key experiments from our paper. The code computes confidence intervals for the Finite Volume Neural Network (FINN), a physics-aware ML model that learns unknown parts of a PDE (here, the retardation function of a diffusion-sorption model). The workflow has four steps: 1. Train FINN on the observations. 2. Learn an em... |
Oct 7, 2026 - Stochastic Simulation and Safety Research for Hydrosystems (LS3)
Scheurer, Stefania; Reiser, Philipp; Bruennette, Tim; Nowak, Wolfgang; Guthke (geb. Schöniger), Anneli; Bürkner, Paul-Christian, 2026, "Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)", https://doi.org/10.18419/DARUS-5670, DaRUS, V1
Supplementary code to replicate key experiments from our paper. The code trains Bayesian polynomial chaos surrogates (PCE/aPC, fitted in Stan via CmdStanPy) and uses them for amortized Bayesian inference with normalizing flows (BayesFlow, JAX backend). It covers standard surrogate-based ABI (SABI) and the uncertainty-aware variant (UA-SABI), which... |
Aug 31, 2026 - Geostatistical Inversion
Xu, Teng, 2024, "Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data", https://doi.org/10.18419/DARUS-2382, DaRUS, V2, UNF:6:vW5NY5+W7Wy1GtNndUOs3Q== [fileUNF]
Description: Dataset published with the paper "Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure and a first comparison". You can use these data to generate the comparisons between the EnKF and the MCMC solution as seen in the paper. Folder structu... |
Aug 13, 2026 - Stochastic Simulation and Safety Research for Hydrosystems (LS3)
Wildt, Nils, 2026, "Replication Data for: CODE: A global approach to ODE dynamics learning", https://doi.org/10.18419/DARUS-5826, DaRUS, V1
Pre-computed experimental results for the paper "CODE: A global approach to ODE dynamics learning" (Wildt, Tartakovsky, Oladyshkin, Nowak, JMLMC 2025). The dataset contains trained model results (JLD2 files) from three data-driven ODE learning approaches — arbitrary polynomial chaos expansion (aPCE/chaos), neural networks (Lux), and Gaussian proces... |
Jul 21, 2026 - Environmental Hydraulics
Schwindt, Sebastian, 2026, "Mesh convergence study "Ering-Fraunstein fishway (2022)"", https://doi.org/10.18419/DARUS-6294, DaRUS, V1
Contains a GCI-based mesh convergence study (slf meshes, per-CPU .sortie logs, and summary report xlsx) for the Ering-Fraunstein fishway, using Telemac2d simulation software. For details refer to README.md. |
Feb 26, 2026 - TRANSFER Danube
Alexandru, Daniel, 2026, "DEM from LP - National Meteorological Administration of Romania", https://doi.org/10.18419/DARUS-5741, DaRUS, V1
This dataset belongs to the EU Interreg project and contains DEM and DSM data from Romanian Pilot Areas (first snapshot); more at https://interreg-danube.eu/projects/transfer-danube |
Feb 23, 2026 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani; Guthke (geb. Schöniger), Anneli; Nowak, Wolfgang, 2026, "Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data", https://doi.org/10.18419/DARUS-3592, DaRUS, V1
This dataset contains the codes for the invasion percolation models and comparison method used in the manuscript: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data |
Feb 23, 2026Environmental Hydraulics
This dataverse contains large datasets produced and used within the European TRANSFER Danube Interreg Project. Background information is available at https://interreg-danube.eu/projects/transfer-danube |
