The shape file contains the raw data from the Global Change Biology article "River types, hydrology, riparian land use, nutrients, toxic substances, ecological status, stressor interactions". General Information Name of the dataset: MultipleStress_RiverEcoStatus.shp Type of dataset: vector data (shape file) Number of polygons: 52.847 Geographic Coordinate System: GCS_WGS_1984 Contact details Metadata / scientific contact person: First, last name: Sebastian Birk Email: sebastian.birk@uni-due.de Institution: University of Duisburg-Essen, Faculty of Biology, Institute of Aquatic Ecology Address: Universitätsstrasse 5 Postal code, city: 45141 Essen Country: Germany Web address: https://www.uni-due.de/aquatic_ecology/ Attribute description m_zhyd_1 Unique identifier of FEC (Functional Elementary Catchment) Data structure: character mars_bt12 Broad river type aggregated Data structure: character eco_stat_2 Ecological status (class) Data structure: character eco_stat_n Ecological status (numeric class) Data structure: integer LoadTPArea Total phosphorous riverine loading (unit: kg km-2 a-1) Decimal separator: comma Data structure: double LoadTN_Are Total nitrogen riverine loading (unit: kg ha-1 a-1) Decimal separator: comma Data structure: double lu_r_urb Percent urban land use in the riparian zone Decimal separator: comma Data structure: double lu_r_agr Percent agricultural land use in the riparian zone Decimal separator: comma Data structure: double hy_maf_abs Alteration of mean annual flow (ratio scale) Decimal separator: comma Data structure: double hy_bfi_abs Alteration of base flow (ratio scale) Decimal separator: comma Data structure: double msPAFP5EC5 Multi-substance Potentially Affected Fraction of species (msPAF-EC50 based on 95th percentile) Decimal separator: comma Data structure: double Further information For more details on the dataset, see (Manuscript accepted, wating for publication at the moment) Acknowledgements This work was funded by the MARS project (Managing Aquatic ecosystems and water resources under multiple stress), funded by the European Union under the 7th Framework Programme, contract no. 603378.