1 to 10 of 717 Results
May 27, 2024 - Bunz Group
Ahrens, Lukas; Tverskoy, Olena; Weigold, Svenja; Ganschow, Michael; Rominger, Frank; Freudenberg, Jan; Bunz, Uwe H. F., 2024, "(Aza)Pentacenes Clipped into a Ring: Stabilization of Large (Aza)Acenes [data]", https://doi.org/10.11588/data/5VN0H0, heiDATA, V1
A doubly alkylene bridged 6,13-diphenylpentacene and analogously bridged azapentacenes were prepared; they are persistent. The doubly bridged azapentacenes display superior photochemical, oxidative and thermal stabilities compared to azapentacenes protected by bis(TIPS-ethynyl)-s... |
Aug 27, 2020 - Leuschner Lab
Leuschner, Florian, 2020, "(MI)MI Model", https://doi.org/10.11588/data/Y6Y7P0, heiDATA, V1, UNF:6:+YH2Zdq/RGjq2VJMW9SMQQ== [fileUNF]
Source data for 'A minimal-invasive approach for standardized induction of myocardial infarction in mice'. |
Dec 7, 2023 - Carbon Cycle Group
Maier, Fabian; Levin, Ingeborg; Hammer, Samuel; Conil, Sébastien; Preunkert, Susanne, 2023, "14C-based ΔffCO2 estimates for Heidelberg and OPE and input data for the Rhine Valley ffCO2 inversion (2019-2020)", https://doi.org/10.11588/data/GRSSBN, heiDATA, V1
These data files show the Δ14CO2, CO2 and CO measurements as well as the 14C-based ΔffCO2 estimates of the flask samples collected in Heidelberg (HEI, 2019-2020) and at the ICOS site Observatoire pérenne de l'environnement (OPE, Sep. 2020 - Mar. 2021). Moreover, modelled ΔffCO2 a... |
Dec 11, 2018 - KnopLab
Constantinou, Iordania; Jendrusch, Michael; Aspert, Théo; Görlitz, Frederik; Schulze, André; Charvin, Gilles; Knop, Michael, 2018, "3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging [data set]", https://doi.org/10.11588/data/L5J7WO, heiDATA, V1
Accompanying data for the manuscript "3D Focusing in Simple Microfluidic Devices for Continuous-flow Single-cell Imaging". |
May 14, 2021
Data publications from the Cluster of Excellence 3D Matter Made to Order (3DMM2O). The Cluster is a collaboration of Karlsruhe Institute of Technology (KIT) and Heidelberg University. It pursues an interdisciplinary approach through conjunction of natural, engineering, and social... |
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... |
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... |
May 22, 2017
Data publications of the 3D Spatial Data Processing Group at the Institute of Geography at Heidelberg University. |
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... |
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "6D Object Pose Estimation using 3D Object Coordinates [Data]", https://doi.org/10.11588/data/V4MUMX, heiDATA, V1
Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office ba... |