241 to 250 of 25,626 Results
Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
ZIP Archive - 273.2 KB -
MD5: d634ae6b381f2c293ae8517028f212b2
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
JSON - 11.0 KB -
MD5: bd4b8f8c5cea8f5b015a159371234687
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Markdown Text - 4.2 KB -
MD5: 672ae6a65713f76872ee6ccd77b52067
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Tabular Data - 17.2 KB - 6 Variables, 227 Observations - UNF:6:lTTPSsWNdxz0t+kvn9as3A==
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
ZIP Archive - 395.9 KB -
MD5: 18d23266ddbbe66b70171e76c4c1c197
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Tabular Data - 1.6 KB - 12 Variables, 15 Observations - UNF:6:FdDDp7Y46gk5fQfcutW1GQ==
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
JSON - 27.5 KB -
MD5: addcee3e78cc90b3a82a28bf2602b6ef
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Sep 10, 2026 -
Replication data for: Orchestrating Schema Conversions Across Heterogeneous Schema Languages: A Graph-Based, Black-Box Approach
Tabular Data - 2.8 KB - 26 Variables, 15 Observations - UNF:6:PMUp6+IQnE+bKUPfuJalMw==
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Sep 9, 2026 - Projects without PN Affiliation
Herkert, Robin, 2026, "Replication Data for: Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation", https://doi.org/10.18419/DARUS-6155, DaRUS, V2
This dataset includes the code and numerical data to reproduce the results from the paper titled "Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by generalized kernel interpolation" (2026). The data were generated by the provided Python scripts from Hamiltonian test systems and are organized according to the corresp... |
Python Source Code - 1.6 KB -
MD5: cebc576cf59b39041dfa80c759309759
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