Catchment characteristics and water chemistry of over 5000 nationally monitored Swedish lakes
This dataset contains data for catchment characteristics and lake water chemistry for lakes in the Swedish Lake Survey, SLS (omdrevstationer), and trend lake (trendlakestationer) monitoring programs. Both surveys, the Swedish Lake Survey and the trend lake survey, are compiled at the Swedish University of Agricultural Sciences (SLU) as part of the university's environmental monitoring and assessment programme Lakes and Watercourses. This makes up a dataset of 5140 lakes (110 of which are trend lakes monitored 4 times a year and 5030 survey lakes monitored every 6 years, some lakes are in both programs), all >1 ha in lake area. For each of these programs this dataset includes (1) time series of water chemistry for all the stations, (2) shapefile with the catchment delineation and station coordinates, and (3) a file summarizing catchment characteristics. Catchment characteristics include land cover, soil depth, peat coverage, ditch density, ditch density in peat areas, NDVI, lake water chemistry, atmospheric deposition, precipitation, temperature, precipitation as snow, percentage above the high coast line, and runoff. An extra file, 'significance.csv', was added in version 2 of this dataset containing the significance (p-value) of slope estimators, where applicable. This dataset also includes the code used to extract the data used to generate this time series and characteristics. As such this data can be reproduced, and extended from the information contained in the dataset. The following files are included in the dataset: **Documentation** readme_overview.md: An overview of what the dataset contains (further elaborated in readme_data.md) and how it was generated (further elaborated in readme_code.md). readme_data.md: Documentation of the final datasets files, including units, reference to the code used to generate, and original data source. readme_code.md: Documentation of the code and functions used to generate the dataset. A static version can be found in the dataset as git_freeze and a live version of the code can be found at https://github.com/aalackner/DOC_catchments. **Data** chemistry_SLS.csv: 14107 x 46, 4.8MB chemistry_trend.csv: 16018 x 46, 5.1MB characteristics_SLS.csv: 5030 x 81, 6MB characteristics_trend.csv: 110 x 93, 0.16MB significance.csv: 5137 × 27, 1.21 MB SLS.zip: 6194 polygons, 20MB trend.zip: 111 polygons, 0.3MB etc.zip: 114 MB etc.zip is a folder with additional timeseries data used in the calculation of characteristics.
Swedish University of Agricultural Sciences
Department of Aquatic Sciences and Assessment
Förbättring av evidensbasen för förståelsen och hantering av ytvattenbrunifiering
Swedish Research Council for Environment Agricultural Sciences and Spatial Planning
Oceanography, Hydrology and Water Resources
Environmental resources, protection and conservation.
Inland water features, drainage systems and their characteristics.
Water quality refers to the physical, chemical, and biological characteristics of water with respect to its suitability for a particular use. Water chemistry refers to the chemical characteristics of water.
Studies conducted to estimate the quantity and the quality of pollutants, nutrients and suspended solids contained in water bodies and to assess sources and factors associated with agricultural practices, industrial activities or other human activities.
[ENVO] An extent or area of land where surface water from rain and melting snow or ice converges to a single point at lower elevation, usually the exit of the basin, where the waters join another waterbody.
The observation of phenomenon/process/systems over long periods of time
Hydrographic elements, including marine areas and all other water bodies and items related to them, including river basins and sub-basins. Where appropriate, according to the definitions set out in Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy (2) and in the form of networks.