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.

Advanced Search

61 to 70 of 254 Results
UA.xtc
Oct 16, 2024 - Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"
Unknown - 56.2 KB - MD5: e01009724988b3c1d3347d74367ef824
Trajectory sample
utilities.py
Oct 16, 2024 - Scripts and data for "Calculation of 1H-NMR relaxation rates from a model united-atom alkanes using reverse coarse-graining"
Python Source Code - 17.0 KB - MD5: d295794f87711f8f50f19d1f72f3d497
Python script for converting trajectories
chemotaxis-analysis-checkpoint.ipynb
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Jupyter Notebook - 137.7 KB - MD5: 65d2b4daf4410f698dbbe0be5187240f
find-center-deployment.py
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Python Source Code - 4.3 KB - MD5: 45a4a851a5fda227676dad2aeb6f253f
find-center-deployment.py
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Python Source Code - 5.1 KB - MD5: ae113c6ce9c13b934600c7324dd09ea2
find-center-deployment.py
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Python Source Code - 5.1 KB - MD5: e3feff2ecd3c657ffbc164409a59cbf9
find-center-rl.py
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Python Source Code - 7.6 KB - MD5: 5813873213ca1c0277d4c2b195600fe0
find-center-rl.py
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Python Source Code - 7.6 KB - MD5: a6a6edd188cdb75072d341eeee7d5c6d
find-center-rl.py
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Python Source Code - 6.7 KB - MD5: fbdd12e0d741d8244e68cedbf8a1ff1a
oblate-analysis.ipynb
Aug 2, 2024 - Replication Data for: Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Jupyter Notebook - 865.5 KB - MD5: beaad13182e1f8c9baf065ae41a5ba13
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.