Constarium
← Search

Data · dataset · 2026

Catchment characteristics and water chemistry of over 5000 nationally monitored Swedish lakes

Listed in Researchdata.se

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.

Description

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.

Read the rest (3 more)

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 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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Hydrology 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:2025-256/210 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata seconnector:researchdata_se@1.0.0
concepts[field].anzsrc:group:3707enrichment · researchdata setaxonomy-embedding@1.1.0title+keywords+description (75%)
concepts[field].local:field:earth-environmentalmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · researchdata seconnector:researchdata_se@1.0.0
descriptionsource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/description
licensesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/rights
publication_datesource · researchdata seconnector:researchdata_se@1.0.0
spatialsource · researchdata seconnector:researchdata_se@1.0.0
titlesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/title