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31 to 40 of 302 Results
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 [... |
Jan 5, 2021 - Auditory Cognition Laboratory
Gärtner, Kai; Gutschalk, Alexander, 2021, "Auditory cortex activity related to perceptual awareness versus masking of tone sequences [research data]", https://doi.org/10.11588/data/Y8UEOY, heiDATA, V1
ABSTRACT: Sequences of repeating tones can be masked by other tones of different frequency. When these tone sequences are perceived, nevertheless, a prominent neural response in the auditory cortex is evoked by each tone of the sequence. When the targets are detected based on the... |
Barkhausen, David; Bloching, Sven; Engeler, Hannah, 2023, "Aufweichen, abbremsen, abschirmen – Wirtschaftsmetaphern zwischen politischer Abgrenzung und diskursiven Allgemeinplätzen [Forschungsdaten]", https://doi.org/10.11588/data/PSMYRY, heiDATA, V1
Our study examines the use of metaphors in the German discourse regarding European monetary and fiscal policy. Though this policy area sparked considerable interest among linguists, so far there is a lacuna concerning interdisciplinary comparative studies that examine metaphorica... |
Weis, Cleo-Aron, 2018, "Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset]", https://doi.org/10.11588/data/XJAOC4, heiDATA, V1
Data used for the implementation of the proposed tumor budding detection In the publication “Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome” we described a multistep approach to detect tumor buds i... |
Li, Hao; Zech, Johannes; Ludwig, Christina; Fendrich, Sascha; Shapiro, Aurelie; Schultz, Michael; Zipf, Alexander, 2021, "Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]", https://doi.org/10.11588/data/AAKAF9, heiDATA, V1
DATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571) Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning... |
Trautmann, Stefan T.; Kuilen, Gijs van de, 2014, "Belief Elicitation: A Horse Race among Truth Serums [Dataset]", https://doi.org/10.11588/data/10004, heiDATA, V3, UNF:5:rdLqOxsqtpO3QKanCTJFPw== [fileUNF]
We pit non-incentivized introspection against five revealed preference mechanisms (“truth serums”) in the elicitation of beliefs in a simple two-player game. We measure the additivity, the predictive power for own behaviour, and the accuracy of each method. Beliefs from incentivi... |
Apr 19, 2023 - Koordinierungszentrum für Klinische Studien
Dominick, Friederike; Danner, Sylvia; Kuhn, Gabriele; Schlicksupp, Ricarda; Luntz, Steffen, 2023, "Beteiligung von Patientinnen und Patienten an Klinischen Studien", https://doi.org/10.11588/data/RMTAYC, heiDATA, V1
In diesem Dokument wird anhand von Beispielen und Methoden dargestellt, wie die aktive Beteiligung von Patientinnen und Patienten an Klinischen Studien in unterschiedlichen Projektphasen (Konzeption, Durchführung und Auswertung) geplant und unterstützt werden kann. |
Apr 12, 2021 - Institute of Medical Psychology
Warth, Marco, 2021, "Biographical music therapy in palliative care [dataset]", https://doi.org/10.11588/data/Z4XZQ7, heiDATA, V1, UNF:6:Nt/CiJX5oFRkCInlnHZ+Xw== [fileUNF]
1. PURPOSE: Awareness for the importance of psychological and spiritual needs in patients with terminal diseases has increased in recent years. While clinical trials have demonstrated the potential of psychosocial interventions in cancer populations, it remains a challenge to tra... |
Lochead, Julia; Schessner, Julia; Werner, Tobias; Wölfl, Stefan, 2017, "Bioinformatic Tool for the Analysis of Time-Resolved data: the TReCCA Analyser", https://doi.org/10.11588/data/UYHOBR, heiDATA, V1
The TReCCA Analyser is conceived to facilitate, speed up and intensify the analysis and representation of your time-resolved data, more specically in the case of cell culture assays. Without having to type any formula, it will perform at wish the following calculations: Control c... |
Jul 6, 2017 - Department of Pharmaceutical Biology
Holenya, Pavlo; Heigwer, Florian; Wölfl, Stefan, 2017, "Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks", https://doi.org/10.11588/data/10056, heiDATA, V1
Kinetic Operating Microarray Analyzer (KOMA) enables calibration and high-throughput analysis of quantitative microarray data collected by using kinetic detection protocol. This tool can be also helpful for analyzing data from any other analytical assays employing enzymatic signa... |
