129,431 to 129,440 of 134,238 Results
MS Excel Spreadsheet - 135.4 KB -
MD5: 721e00937042c5030fe63d230987664a
Microsoft Excel version of dataset |
Dec 6, 2019 - UiT The Arctic University of Norway
Aspaas, Per Pippin; Kontler, László; Pataki, Katalin, 2019, "Metadata serving as basis for illustrations of Maximilian Hell's network in the book "Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe" by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020)", https://doi.org/10.18710/CVW8YU, DataverseNO, V1, UNF:6:HGHnvKEvlfyxCrbYYaLHmA== [fileUNF]
The book "Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe" by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020) includes several illustrations, including one visualization of Hell's surviving correspondence and another of sites of observation recorded in the appendices of the Ephemerides Astro... |
Adobe PDF - 411.5 KB -
MD5: 98e8124729fa5f8706b77d84882f4e9c
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Tabular Data - 46.5 KB - 8 Variables, 364 Observations - UNF:6:GrLG+FURgsdlJ84vsb56sQ==
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Plain Text - 41.3 KB -
MD5: b611acc89f3114abed781e767dd71cac
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Tabular Data - 4.2 KB - 5 Variables, 73 Observations - UNF:6:bSfxPmflMTInT3Rjh2oWDg==
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Plain Text - 3.9 KB -
MD5: 752f3dcac0800afedb74fd28bcae0c86
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Adobe PDF - 1004.0 KB -
MD5: df3053f44ced6f62204186ebde98ab1e
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Nov 27, 2019 - NTNU – Norwegian University of Science and Technology
Pastore, Zeudia, 2019, "Replication data for: Multi-step parametric inversion of scanning magnetic microscopy data for modeling magnetization of multidomain magnetite", https://doi.org/10.18710/FZOWBN, DataverseNO, V1, UNF:6:AhmWFlNPESz1tNtrqR2luw== [fileUNF]
The dataset includes magnetic inversion results and high-resolution magnetic scan data of a 30µm thick section of a sample from Modum, Norway. The sample contains large magnetite grains (>100 µm) surrounded by serpentine and carbonate and exhibits a clear multi-domain behavior. Inversion of the data provided an estimation of the fine-scale magnetiz... |
Plain Text - 1.7 KB -
MD5: d121868e5bc2061aff7091596605efd0
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