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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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671 to 680 of 716 Results
AG Wittbrodt(Heidelberg University, Centre of Organismic Studies )
Jul 6, 2021
Open research data of the working group Wittbrodt at the Centre for Organismal Studies (COS)
AG Weinhardt(Heidelberg University, Centre of Organismic Studies )
Mar 21, 2024
AG Lindner - Experimental Anesthesiology(Heidelberg University, University Hospital Mannheim)
May 30, 2022
AG Computational Diagnostic(Center of Internal Medicine, Heidelberg University Hospital)
Mar 1, 2023
Research data that helps improving diagnostics via algorithms.
Oct 8, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Ruppenhofer, Josef, 2019, "Affixoid Dataset (DE)", https://doi.org/10.11588/data/QKF4LT, heiDATA, V1, UNF:6:+MGK9lTPTXx7Rclu1BpPnw== [fileUNF]
The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. 1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -go...
May 16, 2023 - Institute of Medical Psychology
Schneider, Ekaterina; Hopf, Dora; Beate Ditzen, 2023, "Affectionate touch and diurnal oxytocin levels: An ecological momentary assessment study [Research Data]", https://doi.org/10.11588/data/WFNWJT, heiDATA, V1, UNF:6:sdjqNLtCHLy4gsSjmLEFfg== [fileUNF]
Abstract: Affectionate touch, which is vital for mental and physical health, was restricted during the Covid-19 pandemic. This study investigated the association between momentary affectionate touch and subjective well-being, as well as salivary oxytocin and cortisol in everyday...
Jan 2, 2024 - SFB 1249: N-Heteropolyzyklen als Funktionsmaterialien - B: Theory & Structure
Wirsing, Sara; Hänsel, Marc; Craciunescu, Luca; Belova, Valentina; Schreiber, Frank; Broch, Katharina; Engels, Bernd; Tegeder, Petra, 2024, "Adsorption Structures Affecting the Electronic Properties and Photoinduced Charge Transfer at Perylene-Based Molecular Interfaces [Data]", https://doi.org/10.11588/data/DYTW8A, heiDATA, V1
Underlying data for figures in the paper "Adsorption Structures Affecting the Electronic Properties and Photoinduced Charge Transfer at Perylene-Based Molecular Interfaces"
Sep 22, 2022 - Bothlab
Hodapp, Alexander; Kaiser, Martin E.; Thome, Christian; Ding, Lingjun; Rozov, Andrei; Klumpp, Matthias; Stevens, Nikolas; Stingl, Moritz; Sackmann, Tina; Lehmann, Nadja; Draguhn, Andreas; Burgalossi, Andrea; Engelhardt, Maren; Both, Martin, 2022, "Activity of AcD and nonAcD cells during high-frequency network oscillations [data]", https://doi.org/10.11588/data/JWLFFZ, heiDATA, V1, UNF:6:IbIOEy1OPRgP05Qd2QIN4w== [fileUNF]
Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the se...
Mar 21, 2024 - AG Weinhardt
Erozan, Ayse; Heuveline, Vincent; Weinhardt, Venera, 2024, "ACSeg: Automated 3D Cytoplasm Segmentation in Soft X-Ray Tomography [Jurkat T cell data]", https://doi.org/10.11588/data/XEBZLL, heiDATA, V1
The structure of cells is a key to understanding cellular function, diagnosing diseases, and developing new treatments. Soft X-ray tomography is uniquely used to access 3D cellular structure of various cells at statistically significant sample sizes. These datasets are reconstruc...
Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Nastase, Vivi; Hitschler, Julian, 2019, "ACL word segmentation correction", https://doi.org/10.11588/data/VK99LU, heiDATA, V1
The data in this collection consists of two parallel directories, one ("raw") containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ("re-segmented") the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used...
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