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Nov 23, 2022 - Institute of Organic Chemistry - AK Mastalerz
Yang, Xuan; Elbert, Sven Michael; Rominger, Frank; Mastalerz, Michael, 2022, "A Series of Soluble Thieno-fused Coronene Nanoribbons of Precise Lengths [Data]", https://doi.org/10.11588/data/30AOAT, heiDATA, V1
Among graphene nanoribbons (GNRs), reports on coronene-based GNRs were very rare, despite the unique optoelectronic properties of coronene. Herein, the synthesis of a series of structurally precise and soluble thieno-fused coronene nanoribbons (CR-1 to CR-4) with up to four coron... |
Jul 21, 2022 - 3D Spatial Data Processing
Shinoto, Maria; Doneus, Michael; Haijima, Hideyuki; Weiser, Hannah; Zahs, Vivien; Kempf, Dominic; Daskalakis, Gwydion; Höfle, Bernhard; Nakamura, Naoko, 2022, "3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard", https://doi.org/10.11588/data/TJNQZG, heiDATA, V2
This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data... |
Jun 17, 2022 - Division of Infectious Disease and Tropical Medicine
Herrmann, Yannis; Lainati, Federica; del Mar Castro, María; Mwamba, Chanda; Kumwenda, Moses; Muyoyeta, Monde; Broger, Tobias; Heinrich, Norbert; Olbrich, Lisa; Corbett, Elizabeth; McMahon, Shannon; Engel, Nora; Denkinger, Claudia, 2022, "User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia [data]", https://doi.org/10.11588/data/PLRQCZ, heiDATA, V1
This data set supports the findings of the FujiLAM qualitative study published in PLOS Global Public Health (Titel:"User perspectives and preferences on a novel TB LAM diagnostic (Fujifilm SILVAMP TB LAM) – a qualitative study in Malawi and Zambia"). The repository contains our d... |
Jul 5, 2021 - NATCOOP
Diekert, Florian; Schaap, Robbert-Jan; Eymess, Tillmann, 2022, "NATCOOP dataset", https://doi.org/10.11588/data/GV8NBL, heiDATA, V1, UNF:6:3YvGZs4Tn05DRKwdxpNhwA== [fileUNF]
The NATCOOP project set out to study how nature shapes the preferences and incentives of economic agents and how this in turn affects common-pool resource management. Imagine a group of fishermen targeting a species that requires a lot of teamwork to harvest. Do these fishers bec... |