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11 to 20 of 87 Results
Trautmann, Stefan T.; Kocher, Martin; Pahlke, Julius, 2015, "An Experimental Study of Precautionary Bidding [Dataset]", https://doi.org/10.11588/data/10060, heiDATA, V2, UNF:5:RnlzAG0nN9/oXQdIQt8fdA== [fileUNF]
Auctions often involve goods exhibiting a common-knowledge ex-post risk. In such auctions, precautionary bidding predicts that under expected utility, DARA bidders reduce their bids by more than the appropriate risk premium. Because the degree of riskiness of an auctioned good an... |
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... |
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... |
Jun 16, 2014 - Statistical Natural Language Processing Group
Sokolov, Artem; Jehl Laura; Hieber Felix; Ruppert, Eugen; Riezler, Stefan, 2014, "BoostCLIR: JP-EN Relevance Marked Patent Corpus", https://doi.org/10.11588/data/10001, heiDATA, V1
BoostCLIR is a bilingual (Japanese-English) corpus of patent abstracts, extracted from the MAREC patent data, and the data from the NTCIR PatentMT workshop collections, accompanied with relevance judgements for the task of patent prior-art search. Important: The English side of t... |
Paul, Nicolas; Limprecht-Heusner, Marcus; Eichenauer, Jutta; Scheichenbauer, Christel; Bärnighausen, Till; Kohler, Stefan, 2024, "Burnout among midwives and attitudes toward midwifery: a cross-sectional study from Baden-Württemberg, Germany [Research Data]", https://doi.org/10.11588/data/ZEWLBS, heiDATA, V1, UNF:6:RsKNuUPDKVAakYDF4Z/3Sg== [fileUNF]
Introduction: Midwifery services are a cornerstone of maternal care, but the mental health of midwives is at risk in many work settings. The aim of this study was to assess burnout and attitudes toward midwifery among midwives in Baden-Württemberg, Germany. Methods: A cross-secti... |
Dec 20, 2016 - AWI Experimental Economics
Krawczyk, Michal; Trautmann, Stefan T.; van de Kuilen, Gijs, 2016, "Catastrophic Risk: Social Influences on Insurance Decisions [Dataset]", https://doi.org/10.11588/data/10096, heiDATA, V1
We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choic... |
Nov 29, 2023 - Kaessmann Lab
Sepp, Mari; Leiss, Kevin; Murat, Florent; Okonechnikov, Konstantin; Joshi, Piyush; Leushkin, Evgeny; Spänig, Lisa; Mbengue, Noe; Schneider, Céline; Schmidt, Julia; Trost, Nils; Schauer, Maria; Khaitovich, Philipp; Lisgo, Steven; Palkovits, Miklós; Giere, Peter; Kutscher, Lena M.; Anders, Simon; Cardoso-Moreira, Margarida; Sarropoulos, Ioannis; Pfister, Stefan M.; Kaessmann, Henrik, 2021, "Cellular development and evolution of the mammalian cerebellum [Research Data]", https://doi.org/10.11588/data/QDOC4E, heiDATA, V3
The expansion of the neocortex, a hallmark of mammalian evolution1,2, was accompanied by an increase in cerebellar neuron numbers3. However, little is known about the evolution of the cellular programs underlying cerebellum development in mammals. In this study, we generated sing... |
Dengler, Sebastian; Gerlagh, Reyer; Trautmann, Stefan T.; van de Kuilen, Gijs, 2019, "Climate policy commitment devices [Dataset]", https://doi.org/10.11588/data/R8HGIB, heiDATA, V1, UNF:6:G5JiC8JlmlC3TYlJ68qogw== [fileUNF]
We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interven... |
Jan 26, 2019 - Computer Assisted Clinical Medicine
Gaa, Tanja; Neumann, Wiebke; Sudarski, Sonja; Attenberger, Ulrike I.; Schönberg, Stefan O.; Schad, Lothar R.; Zöllner, Frank G., 2017, "Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]", https://doi.org/10.11588/data/NULJJR, heiDATA, V2
Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were... |
