DaRUS

Metrics

3,772,624 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Publication Year: 2025

11 to 20 of 6,373 Results

Trained Models on Real Permeability Fields, 4+1 Data Points Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport Pelzer, Julia, 2025, "Trained Models on Real Permeability Fields, 4+1 Data Points", https://doi.org/10.18419/DARUS-5082, DaRUS, V1 Models are trained with Heat Plume Prediction on 4 data points (dp). Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. For inference follow the guidelines of Heat Plume Prediction and applied all 3 steps/models sequentially to your input data. Based...
LGCNN_step1_realK.zip Jul 4, 2025 - Trained Models on Real Permeability Fields, 4+1 Data Points ZIP Archive - 177.4 MB - MD5: 78ca4f2b6f5e1fcb4643b9102b55573a Data
LGCNN_step3_realK.zip Jul 4, 2025 - Trained Models on Real Permeability Fields, 4+1 Data Points ZIP Archive - 87.6 MB - MD5: b8507c67b68f7082cdc1c53ece100ca0 Data
Trained Models on Synthetic Permeability Fields, 3+1 Data Points Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport Pelzer, Julia, 2025, "Trained Models on Synthetic Permeability Fields, 3+1 Data Points", https://doi.org/10.18419/DARUS-5080, DaRUS, V1 Models are trained with Heat Plume Prediction. Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. The vanilla UNet can be applied directly end-to-end, just does not give very good results. For inference follow the guidelines of Heat Plume Prediction...
LGCNN_step1_randomK.zip Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points ZIP Archive - 157.6 MB - MD5: 68fd3a2c83e75684972a2e8dc3cac5ec
LGCNN_step3_randomK.zip Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points ZIP Archive - 135.0 MB - MD5: 12b4c1cf242036e444b22762d056a819
vanillaUNet.zip Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points ZIP Archive - 697.8 MB - MD5: 197acd0a0e1ae1cfe78aa0367dfea382
Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport Pelzer, Julia, 2025, "Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points", https://doi.org/10.18419/DARUS-5064, DaRUS, V1 This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km...
dataset_giant_square_100hp_varyK_101dp.zip Jul 4, 2025 - Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points ZIP Archive - 152.0 GB - MD5: 220d3d6b7c991f7c6ca0c7e9b3492d83 Data
Data for: Intermittent flow paths in biofilms grown in a microfluidic channel Jul 2, 2025 - Publication: Intermittent flow paths in biofilms grown in a microfluidic channel Bozkurt, Kerem; Lohrmann, Christoph; Weinhardt, Felix; Hanke, Daniel; Hopp, Raphael; Gerlach, Robin; Holm, Christian; Class, Holger, 2025, "Data for: Intermittent flow paths in biofilms grown in a microfluidic channel", https://doi.org/10.18419/DARUS-4314, DaRUS, V1 Content: This dataset includes images of 10 different biofilm growth experiments to observe intermittent flow paths in a microfluidic channel. All images taken by optical microscopy per five minutes. The experiments took in avarage 4-5 days. The published data is the raw images of the experiments. The images names were related to the timestamps as...

Trained Models on Real Permeability Fields, 4+1 Data Points

Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport

Pelzer, Julia, 2025, "Trained Models on Real Permeability Fields, 4+1 Data Points", https://doi.org/10.18419/DARUS-5082, DaRUS, V1

Models are trained with Heat Plume Prediction on 4 data points (dp). Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. For inference follow the guidelines of Heat Plume Prediction and applied all 3 steps/models sequentially to your input data. Based...

LGCNN_step1_realK.zip

Jul 4, 2025 - Trained Models on Real Permeability Fields, 4+1 Data Points

ZIP Archive - 177.4 MB -

Data

LGCNN_step3_realK.zip

Jul 4, 2025 - Trained Models on Real Permeability Fields, 4+1 Data Points

ZIP Archive - 87.6 MB -

Data

Trained Models on Synthetic Permeability Fields, 3+1 Data Points

Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport

Pelzer, Julia, 2025, "Trained Models on Synthetic Permeability Fields, 3+1 Data Points", https://doi.org/10.18419/DARUS-5080, DaRUS, V1

Models are trained with Heat Plume Prediction. Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. The vanilla UNet can be applied directly end-to-end, just does not give very good results. For inference follow the guidelines of Heat Plume Prediction...

LGCNN_step1_randomK.zip

Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points

ZIP Archive - 157.6 MB -

LGCNN_step3_randomK.zip

Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points

ZIP Archive - 135.0 MB -

vanillaUNet.zip

Jul 4, 2025 - Trained Models on Synthetic Permeability Fields, 3+1 Data Points

ZIP Archive - 697.8 MB -

Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points

Jul 4, 2025 - Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport

Pelzer, Julia, 2025, "Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points", https://doi.org/10.18419/DARUS-5064, DaRUS, V1

This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 101 data points, each consisting of one simulation run until a quasi-steady state is reached. Each data point measures 12.8 km...

dataset_giant_square_100hp_varyK_101dp.zip

Jul 4, 2025 - Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 101 Data Points

ZIP Archive - 152.0 GB -

Data

Data for: Intermittent flow paths in biofilms grown in a microfluidic channel

Jul 2, 2025 - Publication: Intermittent flow paths in biofilms grown in a microfluidic channel

Bozkurt, Kerem; Lohrmann, Christoph; Weinhardt, Felix; Hanke, Daniel; Hopp, Raphael; Gerlach, Robin; Holm, Christian; Class, Holger, 2025, "Data for: Intermittent flow paths in biofilms grown in a microfluidic channel", https://doi.org/10.18419/DARUS-4314, DaRUS, V1

Content: This dataset includes images of 10 different biofilm growth experiments to observe intermittent flow paths in a microfluidic channel. All images taken by optical microscopy per five minutes. The experiments took in avarage 4-5 days. The published data is the raw images of the experiments. The images names were related to the timestamps as...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications