https://researchdata.se/en/catalogue Search results en This data contains the digital elevation models with 0.5 m resolution and polyline shapefiles with the location of channels from the 12 study areas used in this study. It also has the scripts to generate the datasets used to train the machine learning model to classify channels into ditches and streams, and calculate the hydrological indices. The code to train the model is also included, along with the models obtained. For the ground truth data, the channels were mapped differently based on their type: ditches were manually digitized based on the visual analysis of some topographic indices and orthophotos obtained from the DEM. Streams were mapped by initially detecting all natural channel heads, then tracing the downstream channels, and finally manually editing them based on orthophotos. We recommend using Docker to set the environment. Tue, 23 Jun 2026 08:38:56 GMT https://researchdata.se/en/catalogue/dataset/2025-170 https://researchdata.se/en/catalogue/dataset/2025-170 Swedish University of Agricultural Sciences Mariana Busarello William Lidberg Anneli Ågren Florian Westphal 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. Tue, 19 May 2026 07:31:12 GMT https://researchdata.se/en/catalogue/dataset/2025-256 https://researchdata.se/en/catalogue/dataset/2025-256 Swedish University of Agricultural Sciences Anna Lackner Emil Back ***The CLEO project database*** The dataset contains data from the research project 'CLEO - CLimate change and Environmental Objectives'. It's aim was to investigate how climate change affects the ability to meet the environmental goals set for 2020. The project sought to answer the following questions: "How should the next generation of environmental targets for 2050 be formulated in view of climate change, changes in land use and the disposal of pollutants?" and "How should strategies for reducing emissions be developed so that we maximize synergies in order to achieve the environmental targets?". The project was conducted at SLU starting in 2010 and ending in 2015. It was financed by the Swedish Environmental Protection Agency and carried out in collaboration with IVL Swedish Environmental Research Institute, SMHI Swedish Meteorological and Hydrological Institute, and Lund University. The CLEO database was put together by SLU in collaboration with SMHI and published on SLU's website in 2015. In 2026 the data and documentation for CLEO was moved to Researchdata.se. To achieve the goals of CLEO related to runoff chemistry from the Swedish forested landscape, a uniquely comprehensive database of water quality together with supporting climate and catchment information has been created. At the center of this database are 9 well-studied forest catchments where the CLEO water quality modelling effort has been focused. The data for these streams was derived from Integrated Monitoring (IM) programme, which is part of SLU's environmental monitoring and assessment. This has resulted in an ensemble of simulations decades back in time and predictions decades into the future. Furthermore, a database that includes runoff, chemistry, climate, and associated catchment GIS information has been compiled for another 215 larger catchments from national and regional monitoring programs. The information (observed and modelled) of the 9 reference catchments as well as of the 215 larger streams and rivers are made publicly available below. A detailed overview of all data included in the CLEO-database can be found in the documentation file "information-to-data.pdf". The file "translation-table---database.xlsx" containing explanations for common abbreviations used in the datafiles. The data is split into 10 zipped folders. Data for the 9 reference catchments is stored in the folders: **catchment_information.zip (1.16 MB)** The file contains four files providing information on the nine catchments. - Map of Sweden.jpg: 84 KB; Map of the location of the 9 sites in Sweden - maps-soil-sampling-location-topography.ppt: 918 KB; Maps with information on soil, topography, bedrock, sampling locations from Kindla, Aneboda and Gårdsjön - svartberget-catchment.pptx: 559 KB; Maps with information on catchment, vegetation and soil from Svartberget - catchment-information---database1.xlsx: 11 KB; Various catchment information for all sites, e. g. program, geographic location, different codes, X, Y, N, E, overview vegetation (partly information in Swedish) **hydrology.zip (548 KB)** - Observed runoff (runoff-for-all-sites---database.xls, 2 Mb) Runoff observed Site, timeperiod: Gårdsjön F1, 1979 - 2009 Gårdsjön G2, 1992 - 2005 Berg (Pipbäcken Nedre), 1985 - 2008 Aneboda, 1997 - 2008 Stubbetorp (Dammen), 1985 - 1997 Kindla, 1997 - 2008 Sniptjärn, 1977 - 1997 Ammarnäs skog (Lillbäcken), 1985 - 2000 Svartberget, 1981 - 2008 **chemistry.zip (1.28 MB)** - Observed stream chemistry (vattenkemi-cleo-prio-1--database.xlsx, 2 Mb) Site, time period: Gårdsjön F1, 1989 - 2009 Gårdsjön G2, 1989 - 2009 Berg (Pipbäcken Nedre), 1984 - 2009 Aneboda, 1996 - 2009 Stubbetorp (Dammen), 1983 - 1997 Kindla, 1994 - 2009 Sniptjärn, 1976 - 2008 Ammarnäs skog (Lillbäcken), 1984 - 2000 Svartberget, 1986 – 2009 **climate.zip (56 Mb)** - Modelled PTHBV precipitation and temperature (1961-2009) for all sites (precipitation_temperature-pthbv.xlsx, 3 Mb) - Daily relative humidity (RH) and wind speed data for all sites from different climate stations (rhwind-speed-cleo-prio1---database.xls, 8 Mb) - Daily precipitation, wind speed, global radiation, air temperature, air humidity and wind direction data from 'Mast station' at Gårdsjön, site Gårdsjön F1, Gårdsjön G2 and Aneboda (gardsjon_aneboda-meteorological-data---database.xls, 4,1 Mb) - Hourly values of different solar radiation parameters from various climate stations (sol-radiation-files---database.xlsx, 52 Mb) **deposition.zip (514 Kb)** - deposition (deposition_database.xlsx, 528 Kb) Deposition observed/modelled OF = open field deposition, TF = throughfall deposition Site, frequency, OF time series, TF time series: MATCH model, annual, - , 2006-2008 Gårdsjön, annual/monthly, OF 1996-2008, TF 1996-2008 Berg, monthly, OF 1983-2004 Aneboda, monthly, OF 1983-2008, TF 1996-2005 Kindla, monthly, OF, 1996-2008, TF 1996-2005 Ammarnäs, monthly, 1983-2009+1991-2000, TF 1991-2009 Svartberget, monthly, OF 2002-2007, TF 1983-1997 **soil.zip (2.25 Mb)** - Soil/ water temperature, moisture and groundwater level data: Aneboda, Gardsjön and Kindla (soil_water-temp_groundwater_streamwater-level---database.xlsx, 1.26 Mb) - Soil chemistry data: Aneboda, Kindla and Gardsjön file (soil-chemistry-aneboda-kindla-gardsjon_database.xls, 205 Kb) - Soil physics data: Aneboda and Kindla (soil-physics-aneboda-kindla---database1.xls, 89 Kb) - Soil water (SW) chemistry data: Aneboda and Kindla (soil-water-chemistry---database.xls, 1 Mb) - Ground water (GW) chemistry data: Aneboda and Kindla (ground-water-chemistry---database.xls, 895 Kb) Detailed information on SW and GW sampling locations and depths: Aneboda, Kindla and Gardsjön (details-to-groundwater-and-soilwater-sampling.doc, 97 Kb) Note: Soil data files above may contain some inconsistencies Soil data from the S-transect: Svartberget (1995): - Soil parameters and background information of the sampling sites: Svartberget (soil-chemistry-svartberget---database.doc, 126 Kb) - Loss on Ignition (s-transect-svartberget---database.xls, 162 Kb) - Hydr. Conductivity (hydr-conductivity-svartberg---database.xls, 42 Kb) - Particle size distribution (particle-size-svartberget---database.xls, 138 Kb) - pF-curve (pf-curve-svartberget---database.xls, 97 Kb) **litterfall.zip (10 Kb)** - Yearly litterfall chemistry data from 1998-2009 for Aneboda and Kindla (litterfall_yearlychemistry----database.xls, 28 Kb) **vegetation.zip (39.5 Mb)** All files contain a comprehensive explanation of column headings. Years when inventories were carried out are specified. Moreover, Aneboda, Gårdsjön, and Kindla maps are included within the files where data from these catchments are available. - Algae and lichens on young spruce - Aneboda, Gårdsjön, and Kindla (01algae_and_lichens_on_young_spruce-cleo_database.xlsx, 5.5 Mb) - Circular plots: Soil - Aneboda, Gårdsjön, and Kindla (02circular_plots_soil-cleo_database.xlsx, 5.5 Mb) - Circular plots: Trees - Ammarnäs, Aneboda, Gårdsjön, and Kindla (03circular_plots_trees-cleo_database.xlsx, 6.5 Mb) - Circular plots: Trees (basal area) - Ammarnäs and Gårdsjön (04circular_plots_trees_basal_area-cleo_database.xlsx, 2.6 Mb) - Circular plots: Trees (small trees) - Ammarnäs and Gårdsjön (05circular_plots_trees_small_trees-cleo_database.xlsx, 2.6 Mb) - Circular plots: Vegetation layers - Ammarnäs, Aneboda, Gårdsjön, and Kindla (06circular_plots_vegetation_layers-cleo_database.xlsx, 6.0 Mb) - Intensive plots: Trees - Ammarnäs, Aneboda, Gårdsjön, and Svartberget (07intensive_plots_trees-cleo_database.xlsx, 5.1 Mb) - Intensive plots: Understorey vegetation - Ammarnäs, Aneboda, Gårdsjön, Kindla, and Svartberget (08intensive_plots_understorey_vegetation-cleo_database.xlsx, 6.2 Mb) - Forest damage - Gårdsjön and Kindla (09forest_damage-cleo_database.xlsx, 3.3 Mb) - Tree cover on intensive plots - Aneboda, Gårdsjön, and Kindla (10tree_cover_on_intensive_plots-cleo_database.xlsx, 5.5 Mb) - Epiphytes on tree trunks - Ammarnäs, Gårdsjön, and Svartberget (11epiphytes_on_tree_trunks-cleo_database.xlsx, 66 kb) ** 215_streams_and_rivers.zip (131 Mb)** - S-Hype modelled daily runoff for all sites (1990-2010) (runoff-s-hype-all-sites---database.xlsx, 70 MB) - Various monthly collected parameters for all sites (1990-2010) (water-chemistry-all-sites---database.xlsx, 5,4 MB) - PTHBV modelled daily temperature and precipitation for all sites (1990-2010) (precipitation-and-temperature-all-sites---database.xlsx, 62 MB) - Information regarding location, soil type, and land use; and some statistics from chemical, hydrological, and climatic variables for all sites (catchment-information---database.xlsx, 321 KB) - Map with location of all 215 sites within Sweden (overviewmap_sites215.jpg, 55 KB) Thu, 26 Feb 2026 08:56:11 GMT https://researchdata.se/en/catalogue/dataset/2026-25 https://researchdata.se/en/catalogue/dataset/2026-25 Swedish University of Agricultural Sciences Johan Temnerud L. Andersson Berit Arheimer Kevin Bishop Lage Bringmark Lars Lundin Stefan Löfgren Filip Moldan Torbjörn Nilsson This dataset includes three csv files (PLS_data.csv, 145 rows × 244 columns, High_Resolution_Data_PCA.csv, 145 rows × 73 columns, Soil_moisture_composition.csv, 145 rows × 82 columns) and one .rmd file. The csv files contain catchment characteristics derived from conventional spatial data ( land use, soil type, mean climatic variables, etc...) and high resolution spatial data (stream and ditch network and SLU soil moisture map). The .rmd takes the data for these 145 catchments and performs statistical analysis using PCA and PLS regression. For the .rmd file R is necessary to run the script. For more detailed information, see the readme.md file. Information about the R session is in sessionInfo.txt. Mon, 01 Dec 2025 14:13:46 GMT https://researchdata.se/en/catalogue/dataset/2024-112 https://researchdata.se/en/catalogue/dataset/2024-112 Swedish University of Agricultural Sciences Anna Lackner The Swedish Bypassed River Reaches Register (SBRRR) is a dataset containing descriptive information about 968 unique bypassed river reaches located at Swedish diversion hydropower stations. These are formerly natural river reaches currently more or less devoid of water due to hydropower operations. The dataset contains information about the intrinsic hydrogeographical characteristics (i.e. prior to hydropower development) of these reaches such as channel slope, altitude, natural flow regime, catchment geology and soil characteristics, etc. The dataset also contains information about the size of the bypassed reaches (length, area), current management practices in terms of allocation of water as minimum discharge and any other implemented restoration measures (e.g. fishways, habitat enhancement) and additional pressures on the aquatic ecosystem of the bypassed reach (i.e. anthropogenic land use in the catchment area). The datafile itself consists of 57 columns and 968 rows. Fri, 24 Oct 2025 13:47:36 GMT https://researchdata.se/en/catalogue/dataset/2025-260 https://researchdata.se/en/catalogue/dataset/2025-260 Swedish University of Agricultural Sciences Joel Segersten Roland Jansson Erik Degerman Serena Donadi Åsa Widén Birgitta Malm-Renöfält Brendan G. McKie This dataset was used to assess pre-treatment conditions of 6 sites that were selected to undergo riparian thinning experiment. All sites were in riparian forests along small streams in central Sweden, and the riparian forests were middle-age production forests, dominated by spruce. All forests were in the age for thinning. Before thinning was applied, riparian conditions, including forest structure (species composition, size of trees), ground vegetation (vascular plants and bryophytes), large wood (species composition, size, decomposition stage) and microlimate conditions (soil moisture and temperature, air humidity and temperature, incoming radiation) were assessed. The pre-thinning raw data from the summer-autumn of 2022 (June-October) are included in this data set. Tue, 26 Aug 2025 11:07:22 GMT https://researchdata.se/en/catalogue/dataset/2024-25 https://researchdata.se/en/catalogue/dataset/2024-25 Swedish University of Agricultural Sciences Lenka Kuglerová Eva Ring Eliza Maher Hasselquist Emelie Fredriksson Physicochemical and biological data 110 national monitoring lakes for the years 1992 to 2022 were downloaded from the data host https://miljodata.slu.se/MVM/. Climate data were extracted from Climate Research Unit gridded Time Series dataset (version 4.06; Harris et al., 2020; https://crudata.uea.ac.uk/cru/data/hrg/) Eight data sets were compiled: 1. Physicochemical variables from surface water samples (10 variables): EU id Year Colour_absorbance_420nm Ca mg/l Conductivity_mS/m pH TOC mg/l C DIN_ µg/l_N TP_ µg/l_P Water_Temperature_°C. Lake physicochemical and climate data were log10(x + 1) transformed to approximate normal distribution prior to the analyses. 2. Climate data: annual mean air temperature (°C) and precipitation (mm per month for each lake in each year) extracted from the interpolated Climate Research Unit gridded Time Series dataset (version 4.06; Harris et al., 2020; https://crudata.uea.ac.uk/cru/data/hrg/) 3. Phytoplankton taxon abundances (biovolumes) for individual taxa collected in August (n = 780 taxa). Biovolumes were Hellinger transformed. 4. Phytoplankton metrics (n=5): number of taxa, taxon biovolumes, diversity (Hills N2), % cyanobacteria and between-year Euclidean distance*. 5. Littoral taxon abundances (numbers per unit effort) for samples collected in October/November (n=681 taxa). Abundances were Hellinger transformed. 6. Littoral metrics (n=4): number of taxa, total abundance, diversity (N2) and between-year Euclidean distance 7. Profundal taxa abundances (individual per m2) for samples collected in October/November (n=321 taxa). Abundances were Hellinger transformed. 8. Profundal metrics (n=4): number of taxa, total abundance, diversity (N2) and between-year Euclidean distance. * Between-year Euclidean distances were calculated using detrended correspondence analysis axes 1-3 as as d=√((x2 – x1)² + (y2 – y1)²) + (z2 – z1)²), where x1, y1, z1 represent DC axis scores one, two and three, respectively, at any year and x2, y2, z2 represent DC axis scores one, two and three, respectively, for the previous year. Tue, 10 Jun 2025 11:03:00 GMT https://researchdata.se/en/catalogue/dataset/2025-136 https://researchdata.se/en/catalogue/dataset/2025-136 Swedish University of Agricultural Sciences Richard Johnson This dataset presents the concentrations of a wide range of substances in urban streams in Sweden. Contaminant concentrations in the water phase were measured during both dry and wet weather conditions in three Swedish urban streams: Fyrisån in Uppsala, Ljurabäck in Norrköping, and Storån in Söderköping. Sediment samples were also collected from these three streams, along with an additional stream: Kättstabäcken, a stream near Stockholm Arlanda Airport that receives stormwater discharges through a pond system.The collected data included 34 targeted PFAS, 13 phthalates, 10 organotin compounds (OTCs), 16 polycyclic aromatic hydrocarbons (PAHs), and 9 phenols (i.e., nonylphenols, octylphenols and -ethoxylates) in water phase. Bottom sediment data included analysis results for 35 targeted PFAS as well as 30 PFAS precursors (by using TOP assay), 13 phthalates, 10 OTCs, 16 PAHs, and 8 phenols (excluding BPA). For detailed information about the sampling sites and sampling occasions, please refer to "Data_description_v3.pdf" Thu, 05 Jun 2025 09:31:41 GMT https://researchdata.se/en/catalogue/dataset/2024-619 https://researchdata.se/en/catalogue/dataset/2024-619 Luleå University of Technology Suna Ekin Kali Heléne Österlund Maria Viklander Godecke-Tobias Blecken Nine riparian sites along a boreal first-order stream were sampled for the purposes of assessing the percentage of biodegradable dissolved organic carbon (bDOC) in soil, groundwater, streamwater and lake water across 8 occasions between July to October 2022. These sites were sampled to encompass the variation in riparian hydrogeomorphology present within boreal headwaters, and to investigate bDOC concentrations within a land to water continuum. All water samples and soil solutions from extractions were also analysed for dissolved organic carbon, dissolved nutrients and optical properties. All soils were analysed for bulk organic matter content, extracellular enzyme activity (total of 5 enzymes) and phospholipid fatty acid (PLFA) content. This data was collected from the Stortjärnbäcken stream reach in the Krycklan Catchment Study within the Svartberget Research Station (64°14ʹN, 19°46ʹE, Vasterbottens lan, Sweden) in collaboration with the Swedish University of Agricultural Sciences (SLU). Wed, 26 Feb 2025 16:23:16 GMT https://researchdata.se/en/catalogue/dataset/2024-636 https://researchdata.se/en/catalogue/dataset/2024-636 Umeå University Melissa Reidy About 100 headwater streams in SE Sweden were sampled during three consecutive seasons (Summer, autumn, and spring) in 2016 and 2017, to monitor seasonal changes in the geochemical composition of the stream waters. All water samples were analysed for their geochemical element composition (70+ elements). Water samples in southeastern Sweden were taken in August/September 2016, November, and December 2016 and March, and April 2017. The water samples were taken in headwater streams no longer than 2.5 km, without lakes and urban areas, and with less than 5% agricultural land in the catchment (more details can be found in Löfgren et al., 2014 (10.1007/s10661-014-4054-5) and Conrad et al., 2019 (10.1021/acsearthspacechem.9b00237). The data contain more than 70 element concentrations on mostly unfiltered water samples, measured with ICP-MS. Wed, 04 Sep 2024 08:19:15 GMT https://researchdata.se/en/catalogue/dataset/2022-254-1 https://researchdata.se/en/catalogue/dataset/2022-254-1 Luleå University of Technology Sarah Conrad