Markus Mauder

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As part of the quality assurance and quality control activities within the CarboEurope-IP network, a comparison of eddy-covariance software was conducted. For four five-day datasets, CO2 flux estimates were calculated by seven commonly used software packages to assess the uncertainty of CO2 flux estimates due to differences in postprocessing. The datasets(More)
This work tackles the management of novel types of inconsistencies in Spatio-Temporal Databases, different from traditional database settings where integrity constraints pertain to the explicitly stored (or, defined via views and aggregates) values. We observe that spatio-temporal data has its specific types of ßemanticconstraints and we aim at(More)
RATIONALE Modern methods in mass spectrometry permit fast accumulation of a huge amount of data. The analysis of multi-isotope data sets of archaeological remains is of increasing importance for the study of palaeobiodiversity. However, common bivariate isotopic data analysis fails to detect certain patterns in a multi-dimensional data set. This problem can(More)
1 University of Bayreuth, Department of Micrometeorology, Bayreuth, Germany 2 University of Edinburgh, Institute of Ecology and Resource Management, Scotland 3 Alterra, Wageningen University and Research Centre, Wageningen, The Netherlands 4 ETH Zurich, Institute of Plant Sciences, Zurich, Switzerland 5 Technische Universität Dresden, Institute of Hydrology(More)
Correlation clustering detects complex and intricate relationships in high-dimensional data by identifying groups of data points, each characterized by differents correlation among a (sub)set of features. Current correlation clustering methods generally limit themselves to linear correlations only. In this paper, we introduce a method for detecting global(More)