3,561 to 3,570 of 8,586 Results
Jul 24, 2024 -
Data for: Stimulus Selection Based on Gender Ratios: Gender Ratios are Indicative of Both Stereotypical and Conceptual Gender
Plain Text - 14.2 KB -
MD5: 1fda72810781183d253a1faae58b32a2
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Jul 24, 2024 -
Data for: Stimulus Selection Based on Gender Ratios: Gender Ratios are Indicative of Both Stereotypical and Conceptual Gender
Plain Text - 2.4 MB -
MD5: a4ab681590142558c175e1053c4ec774
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Jul 18, 2024
Bednarek, Patrycja Stella, 2024, "Supplementary Data for: Polymer-based collectors in flotation: A review", https://doi.org/10.18710/IUHE48, DataverseNO, V1
The dataset includes search results from various databases—Scopus, Web of Science, Scilit, Springer, and ACS Publications—using the keywords 'Polymer', 'Collector', and 'Flotation'. The dataset presents the number of publications per year across various databases, illustrating the growing interest in research on polymeric collectors in flotation. E... |
Plain Text - 2.6 KB -
MD5: db6a33e675dd0366f5c8c998033d5f7d
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Comma Separated Values - 257.8 KB -
MD5: 2e816508a7adc3cf57724b59e4ebb70e
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Jul 2, 2024
Otto, Robert, 2023, "Reference-case: μ-CT-based simulation of open porosities - input data", https://doi.org/10.18710/HJSSOK, DataverseNO, V2
As attachment to publication "Voxel-based 3D reconstruction of additively manufactured open porous structures for CFD simulation" the following data are shared: • The original μ-CT data are given as tif-file as Appendix 1. • The STL data after voxelization with VoxTex is given as Appendix 2. • The parameters for the mesh setup with Siemens Simcente... |
Plain Text - 3.4 KB -
MD5: 7773a7270fa46e117bb51df3b6c8745c
Readme file |
Adobe PDF - 114.2 KB -
MD5: 42e7340ffd3db6a0a15d825004d7f8c6
The parameters for the mesh setup with Siemens Simcenter simulation software (Simcenter STAR-CCM+) |
Jul 2, 2024
Guedes Maidana, Renan; Kristensen, Susanna Dybwad; Utne, Ingrid Bouwer; Sørensen, Asgeir Johansen, 2024, "Replication Data for: Risk-based path planning for preventing collisions and groundings of maritime autonomous surface ships", https://doi.org/10.18710/HMF7EE, DataverseNO, V1
Field trials on risk-based path planning with an autonomous surface vehicle. Two field trial experiments were performed to test and demonstrate risk-based path planning with KPRA, a method for dynamic probabilistic risk assessment, and risk evaluation on an autonomous surface vehicle (ASV) from Maritime Robotics. The main objective was to observe t... |
Jul 2, 2024 -
Replication Data for: Risk-based path planning for preventing collisions and groundings of maritime autonomous surface ships
Plain Text - 10.2 KB -
MD5: 9505e2202b89535895557689059979f9
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