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Gzip Archive - 42.2 MB - MD5: 5af3957c24011294479da4711d534445
Test case source code containing the actual files to run for the two-scale heat conduction with adaptive model-switching on the micro scale.
Jul 10, 2026
Neubauer, Felix, 2026, "Replication Data for: AI-Assisted RDF Authoring from JSON Data", https://doi.org/10.18419/DARUS-6299, DaRUS, V1, UNF:6:j3H34z5Ux4jb6/he8Hprww== [fileUNF]
This dataset accompanies the paper AI-Assisted RDF Authoring from JSON Data. It contains the metal-organic framework (MOF) synthesis JSON input used in the paper, the natural-language hints submitted to MetaConfigurator's AI assistant, the RML mappings generated from those hints, the RDF (JSON-LD) results obtained by executing the mappings, the SHA...
JSON - 24.3 KB - MD5: 99e780dc5d934240415367072aefd107
Unknown - 11.1 KB - MD5: e4bfb4479d4fac6d3b8ad686fa009f88
Unknown - 16.3 KB - MD5: a97dc13b39733dbb3e49b61cc3e505bd
Plain Text - 4.8 KB - MD5: ef1f052d8cfa4ad537f5900c95da7c08
JSON - 6.8 KB - MD5: 3cb93085c20a10a3a8aaa93fcefc3a5e
Unknown - 5.3 KB - MD5: fe9d623a87ab3d0a95dfff1afe32d469
Plain Text - 26 B - MD5: d64236525eb61bc10a35386eae28a1e9
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