51 to 53 of 53 Results
May 21, 2019 - TS-CCEES
Kreyenberg, Philipp J.; Bauser, Hannes H.; Roth, Kurt, 2019, "Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]", https://doi.org/10.11588/data/7NEEKF, heiDATA, V1
This data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the Middlebury .flo file format (http://vision.... |
Mar 10, 2020 - 3D Spatial Data Processing
Bechtold, Sebastian; Höfle, Bernhard, 2020, "VOSTOK - The Voxel Octree Solar Toolkit", https://doi.org/10.11588/data/QNA02B, heiDATA, V1
VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the "SOLPOS.H" libra... |
Jan 7, 2022 - Institut für Politische Wissenschaft - AG Tosun
Tosun, Jale; Rinscheid, Adrian, 2022, "What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]", https://doi.org/10.11588/data/PVQVWW, heiDATA, V1, UNF:6:QwjNtOHS1nnVsCIBHgxPMg== [fileUNF]
This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean ene... |
