DaRUS

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publicationDate: 2022

21 to 30 of 5,569 Results

dichasus-cf06.tfrecords Apr 12, 2024 - CSI Dataset dichasus-cf0x: Distributed Antenna Setup in Industrial Environment, Day 1 Unknown - 3.3 GB - MD5: 4e174f12d1ad6cc0dd198743c9d7d9df Robot drives along a trajectory with south east-north west meanders (second part).
dichasus-cf07.tfrecords Apr 12, 2024 - CSI Dataset dichasus-cf0x: Distributed Antenna Setup in Industrial Environment, Day 1 Unknown - 14.5 GB - MD5: 0dd3c7c5af4375fdb87eb4bcce9aa74d Robot follows a pseudorandom (hand-drawn) trajectory.
spec.json Apr 12, 2024 - CSI Dataset dichasus-cf0x: Distributed Antenna Setup in Industrial Environment, Day 1 JSON - 4.1 KB - MD5: 6dbfe1a5f81e7db4742d7455ebecee37 Machine-readable description file
PDEBench Datasets Feb 13, 2024 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/DARUS-2986, DaRUS, V8 This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This dataset is intended to progress the scientific ML research area. In ge...
1D_Burgers_Sols_Nu0.01.hdf5 Feb 13, 2024 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: e6d9a4f62baf9a29121a816b919e2770 DATA
1D_Burgers_Sols_Nu0.04.hdf5 Feb 13, 2024 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: 16f4c7afaf8c16238be157e54c9297c7 DATA
1D_Burgers_Sols_Nu1.0.hdf5 Feb 13, 2024 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: 9021eba35332d127306f11ef84c1a60f DATA
1D_Burgers_Sols_Nu2.0.hdf5 Feb 13, 2024 - PDEBench Datasets Hierarchical Data Format - 7.7 GB - MD5: 70fe0c24d9313e70f6059e5212bdb3d7 DATA
PDEBench Pretrained Models Nov 30, 2023 - SciML PDE Benchmark Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/DARUS-2987, DaRUS, V2 This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. In addition the dataset contains the pre-train...
advection_FNO-1.tar Nov 30, 2023 - PDEBench Pretrained Models Plain Text - 1.9 MB - MD5: e80f6e427a3a47802969856ea1ce56b1 DATA

dichasus-cf06.tfrecords

Apr 12, 2024 - CSI Dataset dichasus-cf0x: Distributed Antenna Setup in Industrial Environment, Day 1

Unknown - 3.3 GB -

Robot drives along a trajectory with south east-north west meanders (second part).

dichasus-cf07.tfrecords

Apr 12, 2024 - CSI Dataset dichasus-cf0x: Distributed Antenna Setup in Industrial Environment, Day 1

Unknown - 14.5 GB -

Robot follows a pseudorandom (hand-drawn) trajectory.

spec.json

Apr 12, 2024 - CSI Dataset dichasus-cf0x: Distributed Antenna Setup in Industrial Environment, Day 1

JSON - 4.1 KB -

Machine-readable description file

PDEBench Datasets

Feb 13, 2024 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/DARUS-2986, DaRUS, V8

This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This dataset is intended to progress the scientific ML research area. In ge...

1D_Burgers_Sols_Nu0.01.hdf5

Feb 13, 2024 - PDEBench Datasets

Hierarchical Data Format - 7.7 GB -

DATA

1D_Burgers_Sols_Nu0.04.hdf5

Feb 13, 2024 - PDEBench Datasets

Hierarchical Data Format - 7.7 GB -

DATA

1D_Burgers_Sols_Nu1.0.hdf5

Feb 13, 2024 - PDEBench Datasets

Hierarchical Data Format - 7.7 GB -

DATA

1D_Burgers_Sols_Nu2.0.hdf5

Feb 13, 2024 - PDEBench Datasets

Hierarchical Data Format - 7.7 GB -

DATA

PDEBench Pretrained Models

Nov 30, 2023 - SciML PDE Benchmark

Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Pretrained Models", https://doi.org/10.18419/DARUS-2987, DaRUS, V2

This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. In addition the dataset contains the pre-train...

advection_FNO-1.tar

Nov 30, 2023 - PDEBench Pretrained Models

Plain Text - 1.9 MB -

DATA

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