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Aug 11, 2020 -
Data analysis of the phd work: "Experimental realization of U(1) gauge invariance in ultracold atomic mixtures"
ZIP Archive - 1.2 GB -
MD5: d428bff6f35d78050b267180db851e5b
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
PNG Image - 27.2 KB -
MD5: 8369d19a3d16117c0f68de8dd2547a18
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
PNG Image - 25.0 KB -
MD5: 18b0d6cc3185cc2151cfa3038628bb9b
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
JPEG Image - 476.3 KB -
MD5: a56208e558a72303a968a5a660a4c84b
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
TIFF Image - 33.0 MB -
MD5: 3cbb52face4cfe5b5c467e440baf0aec
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
JPEG Image - 486.7 KB -
MD5: 6012ae2eec6942b532c26df8b95bb3c1
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
TIFF Image - 33.0 MB -
MD5: 41276168cf582087ea79ed58501f50de
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
TIFF Image - 33.0 MB -
MD5: 41276168cf582087ea79ed58501f50de
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Jan 15, 2020 - 3D Spatial Data Processing
Herfort, Benjamin; Anders, Katharina; Marx, Sabrina; Eberlein, Stefan; Höfle, Bernhard, 2020, "3D Micro-Mapping of Subsidence Stations [Source Code and Data]", https://doi.org/10.11588/data/OU8YA1, heiDATA, V1
This dataset comprises the source code to reproduce the 3D micro-mapping tool for plane adjustment at subsidence stations. In this project, users adjust a plane (height and orientation) at the positions of fixed poles, so-called subsidence stations, to provide information on the... |
Aug 4, 2017 - 3D Spatial Data Processing
Herfort, Benjamin; Eberlein, Stefan, 2017, "3D-MAPP: 3D-MicroMapping of Big 3D Geo-Datasets in the Web", https://doi.org/10.11588/data/Y4V85F, heiDATA, V1
The research project 3D-MAPP develops a web-based methodology to obtain digital geodata via the combination of data analysis by human and machine. Through a quick and easy-to-use 3D Web visualization users are able – in a few seconds – to solve 3D micro mapping tasks, which can h... |