envibee developes and maintains the below software packages. Most packages can be run directly from the freely available
R statistical computing environment,
either after download
from R CRAN repositories
or following an installation
from their GitHub repositories.
Other Software, such as enviMass, is available as part of a Software- and Support-Package for commercial usage but available free of charge upon request
for academic users.
envibee can be contracted for data analysis tasks, also in conjunction with the usage of its software packages. Some of these projects are listed in the below portfolio as well.
pattern.search2(). Based on a large set of unique PubChem molecular formulas, quantized (a) m/z, (b) m/z differences, (c) intensity ratios and (d) marker centroids of simulated centroid pairs are listed for one instrument resolution function. Package version 1.1 was contributed 2014 to the CRAN repository while working at Eawag Dübendorf; further instrument-specific data sets are available on demand.
Automated LC/LC- and GC/GC-MS noise removal and signal detection (peak picking). Extension of the above enviPick R package for an additional dimension and for larger raw data sets.
→ Looking for contributors / project partners
Assistance with the data analysis for an international interlaboratory trial of monitoring stations along the Rhine River. Commissioned by the IKSR/SANA.
Suspect screening plus prioritization of industrial emissions. Spatial and process-based data clustering of selected sewage treatment plant effluents. Commissioned by the cantonal department for waste, water, energy and air (Amt für Abfall, Wasser, Energie und Luft, AWEL, Zürich, CH).
Sample data processing and prioritization of known and unknown trace organic compound time series. Summer monitoring campaign at the River Thur catchment, canton St Gallen. Commissioned by the cantonal department for water and energy (Amt für Wasser und Energie, AWE, St Gallen, CH), and in collaboration with the cantonal laboratory for the protection of water and soil (AWA/GBL, Bern, CH).
Industrial partner for a project on outlier detection as part of a bachelor-thesis, in collaboration with the Institute of Data Analysis and Process Design at the ZHAW School of Engineering, Winterthur, CH.