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Comma Separated Values - 10.5 MB - MD5: d24ba2e82707f285b45b6fa357a8d282
Comma Separated Values - 9.8 MB - MD5: bb1f71fbf22c21862c342f99bf42540d
Comma Separated Values - 10.5 MB - MD5: aeeb3fa958a05095d48cfa4608efc338
Aug 27, 2024
Fabian, Karl, 2024, "Replication Data for: Trapdoor viscous remanent magnetization", https://doi.org/10.18710/ZLJN9X, DataverseNO, V1
Jupyter notebooks to generate several Figures of "Trapdoor viscous remanent magnetization". The programs and functions in the notebooks can be used to vary model parameters and generate your own arbitrary trapdoor VRM model runs.
Plain Text - 1.6 KB - MD5: a6ec720257cc563e0f4a7d2719d833cb
Jupyter Notebook - 145.6 KB - MD5: 7e630296e80c1767d7a879003feb2f9d
Jupyter notebook to generate Figure 2 of "Trapdoor viscous remanent magnetization"
Jupyter Notebook - 123.8 KB - MD5: ab27eaabb3925bd3f50e5a3f558d7494
Jupyter notebook to generate Figure 3 of "Trapdoor viscous remanent magnetization"
Jupyter Notebook - 153.9 KB - MD5: 42e8ab72ed9c2e239d37f7ce1b3b09f1
Jupyter notebook to generate Figure 4 of "Trapdoor viscous remanent magnetization"
ZIP Archive - 5.2 KB - MD5: 884226a93230f3349071fd762bd0b1be
Archive of Python routines from the Jupyter notebooks in ASCII code for easier access.
Aug 1, 2024
Bøe, Andreas Sæter, 2023, "Supplementary data to large-scale fire experiment with exposed cross-laminated timber in ceiling - #FRIC-01", https://doi.org/10.18710/ZIYHH3, DataverseNO, V2
This data set contains raw data, (mainly temperature data)from the large-scale fire experiment, named #FRIC-01, with exposed cross-laminated timber on both the wall and the ceiling. This fire test is among the largest fire experiment conducted to date and gave valuable insights i...
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