The database of the EU project MARS contains point data of macroinvertebrates, fish and macrophytes including hydromorphological, physico-chemical and land use information. Most biotic and physico-chemical data have been collected as part of an extensive national monitoring survey. Land use infromation (ATKIS land cover data) was GIS-based generated for fixed buffer strips with different widths and lengths. More information on this dataset can be found in the Freshwater Metadatabase - MARS_14 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=MARS_14).

Replicate macroinvertebrate samples from 12 deep rivers in Northern Ireland and Eire. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_18-R-NCA (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_18-R-NCA).

Contains water chemistry, littoral and profundal invertebrate data, macrophyte data and will soon include fish data. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_70-L-NA (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_70-L-NA).

Point data of macroinvertebrates, macrophytes, fish, physico-chemical parameters. Line data of river/stream location. Data has been collected between 2000-2012 by the waterboard Vechtstromen. More information on this dataset can be found in the Freshwater Metadatabase - MARS_17 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=MARS_17).

Data collection of the Department of Aquatic Ecology, University of Duisburg-Essen based investigations of restored and paired degraded sample sections. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_226-R-DE (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_226-R-DE).

## There is [a newer version](https://doi.org/10.25678/0006CK) of this dataset. This package contains the supplementary information (SI) of chapter 3 of the dissertation of Frederik T. Weiss with the Dissertation No. ETH 27434 (defended: 24th February, 2021), entitled: "Pesticides in a tropical Costa Rican stream catchment: from monitoring and risk assessment to the identification of possible mitigation options". Generally within this thesis the supplementary information (SI) is divided into three parts (SI A, SI B, SI C). For each chapter, SI A section contains background information/data for the reader with quick and easy access added directly after each main chapter. SI B contains raw data, further processed data for analysis, and figures of processed data presented as Excel files. SI C combines the R scripts with information and commands utilized for the statistical analysis. The abstract of chapter 3 reads as follows: "A pesticide monitoring in the Tapezco river catchment region in two subsequent years (2015/2016) revealed that intensive pesticide use leads to contamination of streams. As shown in Chapter 2, 87 pesticide and pesticide transformation products (PPTP), comprising insecticides, herbicides, fungicides and several of their transformation products (TP) were identified by applying sorbent-based passive sampling approaches at the five (2015), respectively eight (2016), sub-catchment (SC) sites. Using these monitoring data as a basis, the first aim of this study was to exploit the measured environmental concentrations (MEC) of the PPTP with regard to their spatio-temporal distribution among the different sampling sites in the Tapezco river catchment. To enable a comparison between the two sampling years, of the 87 detected PPTP, the data set was narrowed down to those which were found in both sampling years, leading to a subset of 62 PPTP. Two MEC-based risk assessment approaches, one relying on Environmental Quality Standards (EQS) and the other on the Toxic Units (TU) concept focusing on invertebrates, were used to identify if the PPTP pose health risks to aquatic biota either singly or in mixture. As well, available macroinvertebrate data for four sites (SC1, SC4, SC5 and SC8) was evaluated in view of the indicated water quality, applying the species at risk pesticide (SPEARpesticide), the Costa Rican Biological Monitoring Working Party (BMWP-CR) Index, and the Ephemeroptera, Plecoptera and Tricoptera (EPT)-taxa richness indices. For the 62 considered PPTP, spatial trends were observed. In more detail, at two connected sites (SC2 and SC3), the average number of PPTP was 2-fold lower compared to the six remaining sites. At all sites, insecticides had the broadest detected spectrum as opposed to the numbers of individual herbicides and fungicides. Conversely, at all sites and periods, fungicides had the highest average %contribution of the average sum-concentration among the individual detected pesticide types. Independent of the risk assessment approach applied, the quality of the water was indicated to be generally poor, pointing at chronic, and even acute effects to be expected for aquatic communities at all sampling sites. Invertebrates were the most affected organism group based on EQS and TU without any apparent time window to recover from pesticide stress during both sampling years. The SPEARpesticide and the BMWP-CR indices both indicated that, despite the continuous pesticide pollution stress at all sites, water quality seemed to be improved at SC5 and reached even a good to regular water quality at the most downstream site (SC8) compared to the other remaining sites (SC1 and SC4) for which macroinvertebrate data was available. The EPT-taxa richness index showed as well an improvement in water quality at SC8. This finding could be due to a larger river stretch upstream to the sampling site with no horticultural land and high share of natural forest. Given that all applied approaches confirmed substantial risks, there is an urgent need for a reduction of pesticides in streams of the Tapezoco catchment to improve the water quality in order to protect aquatic communities in these streams."

The database presented here contains general and specific information for the Sorraia river basin in Portugal, compiled whithin the context of the FP7 MARS Project. The information is based on multiple datasets from multiple sources and contains data on hydrology, climate, water quality, geomorphological pressures and several biotic elements, including fish, macroinvertebrates, macrophytes and diatoms. The main source of information is the Portuguese Environmental Agency (APA) from the Ministry of the Environment, Territory and Energy. More information on this dataset can be found in the Freshwater Metadatabase - MARS_10 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=MARS_10).

Swedish Environmental Protection Agency national monitoring database for lakes. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_67-LR-NCB (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_67-LR-NCB).

collection of sites with both biological and abiotic information - biological data covers all quality elements (macroinvertebrates, macrophytes, diatoms, other benthic algae, fish, and phytoplancton) - abiotic data comprises hydromorphological info (Gew�sserstrukturkartierung), physico-chemical info, and information about landcovering in catchment area primary aim was to aquire complete site information (complete set of environmental data and data from all organism groups), but finally the datasets turned out to be quite fregmentary More information on this dataset can be found in the Freshwater Metadatabase - BF_W_76-R-CAl (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_76-R-CAl).

This dataset contains information about 128 river catchments placed in Wales, compiled over 30 years through different research projects. The majority of these catchments were surveyed at three time points over this period (one spring sample per year at 1984, 1995, 2012/13). A small subset of 14 streams (Brianne streams) have been surveyed continously from 1981-82 to 2014 (one spring sample per year). This dataset contains biological information about aquatic macroinvertebrates (genus and species level), water birds (European dipper) and fish (species level, commercial and non-commercial). As environmental descriptors, GIS catchment information (elevation, geomorphology, lithology), water chemistry (pH, nutrients, suspended solids, etc.) and climatic information are available. More information on this dataset can be found in the Freshwater Metadatabase - MARS_19 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=MARS_19).