4,191 to 4,200 of 4,903 Results
May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 3.2 GB -
MD5: 00bea9cecce7e090822760f17feb3006
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 139.2 GB -
MD5: 6372fa9db493ff6e9cb0a7974337cbd7
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 912.6 MB -
MD5: 77d469c5e9fa18da02fd926b6a3a0c2b
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 2.6 GB -
MD5: f07a3e9f43439809f451a7de7792852a
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May 12, 2025 -
Replication Data for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
XZ Archive - 10.0 GB -
MD5: 52377b58959da16211403e79a5d8b942
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Apr 9, 2025 - PN 6A-4
Álvarez Chaves, Manuel, 2025, "Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models", https://doi.org/10.18419/DARUS-4920, DaRUS, V1, UNF:6:i3yM0uireOQetNHaTVPKfg== [fileUNF]
Hybrid Models for Hydrology This repository contains code for the paper "When physics gets in the way: an entropy-based evaluation of conceptual constraints in hybrid hydrological models" submitted to Hydrology and Earth Systems Science (HESS). In this repository we have included the 'Hy2DL' and 'unite_toolbox' libraries in the versions they used f... |
Apr 9, 2025 -
Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models
Python Source Code - 1.2 KB -
MD5: e004a9c083dc64c468663798f533f932
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Apr 9, 2025 -
Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models
Plain Text - 3.9 KB -
MD5: 11c8aed5b7fec13088ef4782fe909448
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Apr 9, 2025 -
Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models
Tabular Data - 22.8 KB - 5 Variables, 660 Observations - UNF:6:ttbZIdFvT9yece43qHB4kQ==
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Apr 9, 2025 -
Replication Data for: An entropy-based evaluation of conceptual constraints in hybrid hydrological models
Python Source Code - 6.4 KB -
MD5: d11a6f2da4d6aa46b1d461972366cd11
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