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11 to 20 of 157 Results
Activity of AcD and nonAcD cells during high-frequency network oscillations [data]
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...
Affectionate touch and diurnal oxytocin levels: An ecological momentary assessment study [Research Data]
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...
AG Computational Diagnostic(Center of Internal Medicine, Heidelberg University Hospital)
Mar 1, 2023
Research data that helps improving diagnostics via algorithms.
AG Lindner - Experimental Anesthesiology(Heidelberg University, University Hospital Mannheim)
May 30, 2022
AG Weinhardt(Heidelberg University, Centre of Organismic Studies )
Mar 21, 2024
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)
Allosteric Activation of Vinculin by Talin [data]
Jun 1, 2023 - HITS MBM
Gräter, Frauke; Franz, Florian; Winograd-Katz, Sabina; Tapia-Rojo, Rafael; Boujemaa-Paterski, Rajaa; Li, Wenhong; Unger, Tamar; Albeck, Shira; Aponte-Santamaria, Camilo; Garcia-Manyes, Sergi; Medalia, Ohad; Geiger, Benny, 2023, "Allosteric Activation of Vinculin by Talin [data]", https://doi.org/10.11588/data/WZDKT6, heiDATA, V1, UNF:6:32j0OWUdxRAbsyCMzwdFcQ== [fileUNF]
The talin-vinculin axis is a key mechanosensing component of cellular focal adhesions. How talin and vinculin respond to forces and regulate one another remains unclear. By combining single molecule magnetic tweezer experiments, Molecular Dynamics simulations, actin bundling assa...
Anders Group(Center for Molecular Biology of Heidelberg University (ZMBH))
Apr 6, 2020
Data publications from the Anders Group at the Center for Molecular Biology of Heidelberg University (ZMBH)
ARPC5 Isoforms and Their Regulation by Calcium-Cal 1 modulin-N-WASP Drive Distinct Arp2/3-dependent Actin Remodeling Events in CD4 T Cells [Source Data Files]
May 9, 2023 - Integrative Virology
Sadhu, Lopamudra; Tsopoulidis, Nikolaos; Hasanuzzaman, Md; Laket, Vibor; Way, Michael; Fackler, Oliver T., 2023, "ARPC5 Isoforms and Their Regulation by Calcium-Cal 1 modulin-N-WASP Drive Distinct Arp2/3-dependent Actin Remodeling Events in CD4 T Cells [Source Data Files]", https://doi.org/10.11588/data/YVYEO8, heiDATA, V2
This dataset contains the source data files of the article 'ARPC5 Isoforms and Their Regulation by Calcium-Cal 1 modulin-N-WASP Drive Distinct Arp2/3-dependent Actin Remodeling Events in CD4 T Cells' by Sadhu et al. pulished in eLife.
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Feb 7, 2022 - Institute of Pathology Mannheim
Weis, Cleo-Aron, 2022, "Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]", https://doi.org/10.11588/data/JWZ2CK, heiDATA, V1
Test data and models to the paper "Assessment of glomerular morphological patterns by deep learning algorithms". Different, from other groups, defined CNN-models (saved as .pt-files) are trained to identify nine predefined patterns of glomerular changes. The models are: AlexNet [...
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