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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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1 to 10 of 719 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".
3D Matter Made to Order (3DMM2O)(Heidelberg University and Karlsruhe Institute of Technology (KIT))
3D Matter Made to Order (3DMM2O) logo
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...
3D Spatial Data Processing(Heidelberg University - Institute of Geography)
3D Spatial Data Processing logo
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...
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