The download package of the Eawag AGS model. Content: 1. Eawag AGS Model files 2. User guide 3. Sumo project examples 4. Data extraction files 5. R tool 6. Python runner More information on the model can be found here: https://www.eawag.ch/en/department/eng/projects/abwasser/ags-aerobic-granular-slugde-model/

This is the collection associated with the S121 | EAWAGBBD | Curated Transformation Reactions from Eawag-BBD dataset on the NORMAN Suspect List Exchange (NORMAN-SLE).

A set of hand-curated transformation reactions from the Eawag Biocatalysis/Biodegradation Database (Eawag-BBD), collated and curated by Emma Palm from the Eawag-BBD website. DOI: 10.1093/nar/gkp771

This is the collection associated with list S66 EAWAGTPS - Parent-Transformation Product Pairs from Eawag on the NORMAN Suspect List Exchange.

https://www.norman-network.com/nds/SLE/

Parent-Transformation Product Pairs of various micropollutants from Eawag: Swiss Federal Institute for Aquatic Science and Technology (https://www.eawag.ch/en/), described in Schollee et al 2017 DOI:10.1007/s13361-017-1797-6 . Dataset DOI: 10.5281/zenodo.3754449

Update 23/04/2020: fixed names, added synonym columns and classification information.

The University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD) contains information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. The UM-BBD Pathway Prediction System (PPS) predicts microbial catabolic reactions using substructure searching, a rule-base, and atom-to-atom mapping. The PPS recognizes organic functional groups found in a compound and predicts transformations based on biotransformation rules. These rules are based on reactions found in the UM-BBD database. This collection references those rules.

The “National Long-term Surveillance of Swiss Rivers” (NADUF) program was initiated in 1972 as a cooperative project between three institutes: Federal Office for the Environment (FOEN) Swiss Federal Institute of Aquatic Science and Technology (EAWAG) Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) (since 2003) The following institutes participated later: Amt für Umwelt und Energie des Kantons Basel-Stadt (AUE) Federal Institute of Metrology (METAS) With the NADUF program, the chemical-physical state of Swiss rivers as well as intermediate-term and long-term changes in concentration are observed. Furthermore, it provides data for scientific studies on biological, chemical and physical processes in river water. The NADUF network serves as a basic data and sampling facility to evaluate the effectiveness of water protection measures and for various scientific projects.

The University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD) contains information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. The goal of the UM-BBD is to provide information on microbial enzyme-catalyzed reactions that are important for biotechnology. This collection refers to enzyme information.

Customs records of Switzerland are available for EAWAG. Learn about its Importer, supply capabilities and the countries to which it supplies goods

This dataset is about: EAWAG Profiling Ion Analyser Data, Lake Rot, Switzerland (ROT20100914).

Plankton are effective indicators of environmental change and ecosystem health in freshwater habitats, but collection of plankton data using manual microscopic methods is extremely labor-intensive and expensive. Automated plankton imaging offers a promising way forward to monitor plankton communities with high frequency and accuracy in real-time. Yet, manual annotation of millions of images proposes a serious challenge to taxonomists. Deep learning classifiers have been successfully applied in various fields and provided encouraging results when used to categorize marine plankton images. Here, we present a set of deep learning models developed for the identification of lake plankton, and study several strategies to obtain optimal performances, which lead to operational prescriptions for users. To this aim, we annotated into 35 classes over 17900 images of zooplankton and large phytoplankton colonies, detected in Lake Greifensee (Switzerland) with the Dual Scripps Plankton Camera. Our best models were based on transfer learning and ensembling, which classified plankton images with 98% accuracy and 93% F1 score. When tested on freely available plankton datasets produced by other automated imaging tools (ZooScan, FlowCytobot and ISIIS), our models performed better than previously used models. Our annotated data, code and classification models are freely available online.

This is the collection associated with list S7 EAWAGSURF on the NORMAN Suspect List Exchange.

https://www.norman-network.com/nds/SLE/

Updated 21/11/2019 to contain representative explicit structures for species observed in the 2014 study. Note that for some species multiple isomers are possible; only one representative has been added per formula. Structures created using RChemMass (https://github.com/schymane/RChemMass/)

S7: EAWAGSURF: Eawag Surfactants Suspect List

Suspect formulas: CSV, XLSX

CompTox EAWAGSURF List

Schymanski et al. 2014. DOI: 10.1021/es4044374

This MassBank record with Accession MSBNK-Eawag-EA285952 contains the MS2 mass spectrum of Pravastatin with the InChIkey TUZYXOIXSAXUGO-PZAWKZKUSA-N.

This is the collection associated with list S82 | EAWAGPMT | PMT Suspect List from Eawag on the NORMAN Suspect List Exchange.

https://www.norman-network.com/nds/SLE/

A PMT suspect screening list containing >1100 entries from Kiefer et al (2021), DOI: 10.1016/j.watres.2021.116994

This MassBank record with Accession MSBNK-Eawag-EQ317551 contains the MS2 mass spectrum of Propyzamide with the InChIkey PHNUZKMIPFFYSO-UHFFFAOYSA-N.

This MassBank record with Accession MSBNK-Eawag-EQ01155051 contains the MS2 mass spectrum of Succinic acid with the InChIkey KDYFGRWQOYBRFD-UHFFFAOYSA-N.

The dreissenid quagga Dreissena bugensis and zebra D. polymorpha mussels are invasive freshwater mussels in Europe and North America. These species strongly impact aquatic ecosystems, such as the food web through their high abundance, filtration rate. They spread quickly within and between waterbodies, and have the ability to colonize various substrates and depths. The zebra mussel invaded and established in Swiss lakes in the 1960s, whereas the quagga mussel was not detected until 2014. We collected all available data from cantonal as well as local authorities and other institutions to describe the colonization pattern of quagga mussels in Switzerland. We also collected data regarding the distribution of larval stages of the mussels, the so-called veliger larvae. We observed that in lakes colonized by the quagga mussel, veligers are present the whole year round, whereas they are absent in winter in lakes with only zebra mussels. Additionally, we present detailed information about the invasion and colonization pattern of quagga mussels in Lake Constance. Quagga mussels colonized the lakeshore within a few years (~ 2016-2018) and outcompeted zebra mussels, and have reached densities > 5000 ind. m-2 in the littoral zone, even at 80 m densities above 1000 ind. m-2 were found at some locations. At the end of the article, we discussed possibilities on how the spread of quagga mussels within and among northern perialpine lakes should be monitored and prevented in the future.

This MassBank record with Accession MSBNK-Eawag-EQ331604 contains the MS2 mass spectrum of Linoleic acid with the InChIkey OYHQOLUKZRVURQ-HZJYTTRNSA-N.

This MassBank record with Accession MSBNK-Eawag-EQ01145951 contains the MS2 mass spectrum of 8-2-FTCA with the InChIkey XTBXSCIWOVSSGB-UHFFFAOYSA-N.

This MassBank record with Accession MSBNK-Eawag-EQ365204 contains the MS2 mass spectrum of Ethoxyquin with the InChIkey DECIPOUIJURFOJ-UHFFFAOYSA-N.

This MassBank record with Accession MSBNK-Eawag-EA080451 contains the MS2 mass spectrum of 3,5-Dibromo-4-hydroxybenzoic acid with the InChIkey PHWAJJWKNLWZGJ-UHFFFAOYSA-N.

This MassBank record with Accession MSBNK-Eawag-EQ00355204 contains the MS2 mass spectrum of Pyraflufen-ethyl with the InChIkey APTZNLHMIGJTEW-UHFFFAOYSA-N.