24,491 to 24,500 of 25,353 Results
Tabular Data - 388.6 KB - 5 Variables, 7574 Observations - UNF:6:jlP3pZtBY1BpGYRex5PnqA==
Log file of the applied injections and the recorded pressure with time stamps. |
Gzip Archive - 18.1 GB -
MD5: 88867368438b0a8a75fe75103fb30792
ilastik output: probabilities of phase identifiactions: red = glass beads, blue = precipitated calcium carbonate, green = pore space. In 24 bit *.png file format. 2680x2680x2141 voxels with a uniform voxel size of 1.9 µm. |
Gzip Archive - 17.1 GB -
MD5: 3b9bec4bef3b09ad1573a4d07f28a3e8
Projection images (360 deg, angle increment 0.20 deg), dark image (di) and open beam image (ob) in 16 bit *.tif file format. (internal ID: 20201218_01/projections) |
Gzip Archive - 22.8 GB -
MD5: 80deea8fc4472d3b285e8511681048f2
Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2141 voxels with a uniform voxel size of 1.9 µm. (internal ID: 20201218_01/reconstructed) |
Gzip Archive - 686.8 MB -
MD5: 3d8268d3f0d6560959f155eef17a7cc5
Binarized images of the probabilities into glass beads, precipitated calcium carbonate, and pore space, as well as precipitated calcium carbonate and pore space (= initial pore space), each in a subfolder. In 8 bit *.png file format. 2682x2682x1340 voxels with a uniform voxel size of 1.9 µm. |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 518.6 KB -
MD5: 38479648059adc6d77bf7c60911ddc35
Advection pre-trained model (FNO) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 31.1 MB -
MD5: e37c31313eefd5568c11af0c36075834
Advection pre-trained model (Unet) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 518.6 KB -
MD5: 09510743c315a505c42e2da4c5313a9d
Burgers pre-trained model (FNO) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
Unknown - 31.1 MB -
MD5: fedc814f213e17be7338e493c6cffabe
Burgers pre-trained model (Unet) (1D) |
Jun 21, 2022 -
PDEBench Pretrained Models
TAR Archive - 2.6 MB -
MD5: f0ad9bb3bc212fd905038a2cfcb5b190
1D compressible NS eq pretrained model for FNO |
