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1 to 10 of 157 Results
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 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...
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.
Sep 7, 2021 - Global Health and Economics
Kohler,Stefan; Sitali, Norman; Paul, Nicolas, 2021, "A framework for assessing import costs of medical supplies and results for a tuberculosis program in Karakalpakstan, Uzbekistan [Research Data]", https://doi.org/10.11588/data/JM2H6I, heiDATA, V1, UNF:6:BWxSViGhUpB/lzuDDa3q/A== [fileUNF]
Data and code
Jul 19, 2022 - Prof. Rohini Kuner's lab
Oswald, Manfred Josef; Han, Yechao; Kuner, Rohini, 2022, "A novel role for the cholinergic basal forebrain nucleus of Meynert in chronic pain via modulation of the prelimbic cortex", https://doi.org/10.11588/data/ET9G9X, heiDATA, V1
This dataset contains all raw electrophysiology data and associated analysis procedures reported in Oswald et al. Cholinergic basal forebrain nucleus of Meynert regulates chronic pain-like behaviour via modulation of the prelimbic cortex. Nat Comm (2022). Abstract: The basal nucl...
Dec 13, 2023 - Auditory Cognition Laboratory
Das, Diptyajit; Shaw, Marnie E.; Hämäläinen, Matti S.; Dykstra, Andrew R.; Doll, Laura; Gutschalk, Alexander, 2023, "A role for retro-splenial cortex in the task-related P3 network [Research Data]", https://doi.org/10.11588/data/YB9SQI, heiDATA, V1
Objective: The P3 is an event-related response observed in relation to task-relevant sensory events. Despite its ubiquitous presence, the neural generators of the P3 are controversial and not well identified. Methods: We compared source analysis of combined magneto- and electroen...
Feb 25, 2022 - Division of Infectious Disease and Tropical Medicine
Brümmer, Lukas E.; Katzenschlager, Stephan; McGrath, Sean; Schmitz, Stephani; Gaeddert, Mary; Erdmann, Christian; Bota, Marc; Grilli, Maurizio; Larmann, Jan; Weigand, Markus A.; Pollock, Nira R.; Macé, Aurélien; Erkosar, Berra; Carmona, Sergio; Sacks, Jilian A.; Ongarello, Stefano; Denkinger, Claudia M., 2022, "Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: an updated systematic review and meta-analysis with meta regression analyzing influencing factors [Research Data]", https://doi.org/10.11588/data/T3MIB0, heiDATA, V1
Background Comprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analys...
Sep 18, 2023 - Functional Neuroanatomy
Johannes Knabbe, 2023, "Accurate classification of major brain cell types using in vivo imaging and neural network processing", https://doi.org/10.11588/data/L3PITA, heiDATA, V1, UNF:6:j36lvBMAVhENUbq1px2P/Q== [fileUNF]
This dataset accompanies the article of the same title in the journal Plos Biology. It includes a) Ground truth datasets for the training of the StarDist neuronal network for nucleus segmentation (StardistTraining.tar.gz) b) The trained Stardist nucleus segmentation model (Stardi...
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...
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