https://researchdata.se/en/catalogue Search results en 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 This dataset contains pseudonymised data on sex, age, clinical manifestations, and comorbidities for 2,280 individuals with invasive pneumococcal disease (IPD) in Region Västra Götaland during the post-introduction period following the inclusion of pneumococcal vaccination in the childhood immunisation programme in 2009 through 2019. Data were retrieved from patient medical records based on information provided by the microbiological laboratories serving all hospitals in the Västra Götaland Region regarding IPD episodes. Fri, 08 May 2026 11:09:31 GMT https://researchdata.se/en/catalogue/dataset/2026-172 https://researchdata.se/en/catalogue/dataset/2026-172 University of Gothenburg Tor Härnqvist Karin Bergman Erik Backhaus Mats Dahl Helena Kolberg Caroline Ström Turesson Malin Olander Staffan Nilsson Rune Andersson Susann Skovbjerg Johanna Karlsson The code presented in this dataset determines the best-fitting geometries (strike and dip angles) of a dipping reflector with a known surface intersection from pre-stack seismic data, using an automated approach implemented in Matlab©. The modelling is first run on a single gather and then iterated on all available gathers. It requires as input shot or receiver gathers in SEG-Y format, along with first-break and reflection traveltime picks in ASCII format. If desired, also a migrated stacked section can be uploaded. In addition to the resulting reflector geometry the output data shows RMS error matrix, modelled pre- and post-stack reflection and azimuth coverage. The data provide also two example cases, a 3D synthetic model and a 2D real case. To use the code, open ReflectionModelling.m on Matlab© and modify the first part of the code with the desired input and variables, then, run the code and enjoy! See ReflectionModelling_Manual.pdf for more details. Wed, 29 Apr 2026 08:20:39 GMT https://researchdata.se/en/catalogue/dataset/2025-206 https://researchdata.se/en/catalogue/dataset/2025-206 Uppsala University Samuel Zappalà Automatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled. Erken Laboratory (2026). Meteorological data from Mälaren - Galten Island, 1999-01-01–2025-12-01 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/MRnUdaWGjQL0RLHXHe-ex0So Tue, 31 Mar 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/sites-mrnudawgjql0rlhxhe-ex0so https://researchdata.se/en/catalogue/dataset/sites-mrnudawgjql0rlhxhe-ex0so Uppsala University Stream water level measurements and discharge calculations from streams participating in the SITES Water and station base program including a constantly validated stream discharge relation curve. For further information on calculations and installation read COMMENT in the header of the data set, which guides to related document. Erken Laboratory (2026). Water balance - stream water level and discharge from Erken Catchment, Kristineholm - inlet, 2006-04-15–2025-12-02 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/QALNkDJOB8hAi2_5M1ZxNzdX Tue, 31 Mar 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/sites-qalnkdjob8hai2-5m1zxnzdx https://researchdata.se/en/catalogue/dataset/sites-qalnkdjob8hai2-5m1zxnzdx Uppsala University Automatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled. Erken Laboratory (2026). Meteorological data from Mälaren - Galten Island, 1999-01-02–2025-11-30 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/ZjqIof7xjkVPTjAwq_DHdF8i Tue, 31 Mar 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/sites-zjqiof7xjkvptjawq-dhdf8i https://researchdata.se/en/catalogue/dataset/sites-zjqiof7xjkvptjawq-dhdf8i Uppsala University Data files and R codes supporting the results presented in the publication. The majority of the data files are based on zonal statistics to analyze the occurrence of land cover, landowner categories and different types of forest on four scales (wind site, planning area, county, and ecoregion). Hence, the data is numeric reflecting pixel (10x10m) abundance of a certain type or category. Data are sorted by county. Wed, 25 Mar 2026 10:10:27 GMT https://researchdata.se/en/catalogue/dataset/2026-22 https://researchdata.se/en/catalogue/dataset/2026-22 Swedish University of Agricultural Sciences Wiebke Neumann Johan Svensson Therese Bjärstig The International Cooperative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems (ICP IM) presents a comprehensive long-term dataset of ongoing integrated ecosystem monitoring from European forested catchments. The dataset encompasses measurements from monitoring stations across 14 European countries, with temporal coverage extending for most sites from the 1990s to 2020. The dataset will be updated with new data once per year. The integrated monitoring approach applies over multiple monitoring subprogrammes to simultaneously measure physical, chemical, and biological properties across ecosystem compartments including atmosphere, precipitation, throughfall, soil, soil water, groundwater, runoff water, vegetation, and biota. All measurements follow standardised protocols detailed in the ICP IM Manual, ensuring data quality and comparability across sites and time periods. The dataset supports research on ecosystem responses to air pollution, climate change impacts, and biogeochemical cycling. Data is provided by sub-programme (all sites and all years with data in one file), geographic co-ordinates for sites are available in a separate file. Historical data from inactive sites in Belarus, Denmark, Iceland and the United Kingdom are currently available by request, as is data from Finland in sub-programmes TF,SF,SC,SW,FC,LF,FD,VG,EP and BV, and data from Poland. The monitoring is done under the framework of the UN Convention on Long-Range Transboundary Air Pollution (CLRTAP) and also has an important role in reporting under the EU national emissions ceiling directive (NECD). Users are strongly encouraged to refer to the ICP IM Monitoring Manual which describes in detail the methods used to make measurements in the field and the laboratory, the data formats used, explanations of column headers and flags used in all subprogrammes and example files. This is provided alongside the data. Thu, 19 Mar 2026 08:16:31 GMT https://researchdata.se/en/catalogue/dataset/2024-180 https://researchdata.se/en/catalogue/dataset/2024-180 Swedish University of Agricultural Sciences James Weldon Wenche Aas Barbara Albiniak Algirdas Augustaitis Ieva Baužienė Camilla Capelli Nicholas Clarke Thomas Cummins Heleen de Wit Thomas Dirnböck Ika Djukic Karin Eklöf Martin Forsius Martyn Futter Ulf Grandin Sergey Gromov Adéla Holubová Šmejkalová Ricardo Ibañez Iveta Indriksone Sara Jutterström Johannes Kobler Heidi Koger Angelika Kölbl Andrzej Kostrzewski Anna Koukhta Pavel Krám Robert Kruszyk Esther Lasheras Kairi Lõhmus Mikołaj Majewski Hampus Markensten Rafael Miranda Michael Mirtl Filip Moldan Giancarlo Papitto Johannes Peterseil Ainis Pivoras Gisela Pröll Pernilla Rönnback Carolina Santamaría Jesus Miguel Santamaría Thomas Plha Krzysztof Skotak David Elustondo Mercedes Valerio Sarah Venier Lieke Vlaar Jussi Vuorenmaa Nicole Wellbrock Liisa Ukonmaanaho Ulla Makkonen The SOM survey in West Sweden has been conducted yearly since 1992. The survey was initially limited to residents of Gothenburg and its surrounding municipalities. In 1998, the survey was extended to include the entire Västra Götaland County plus the municipality of Kungsbacka. The purpose of the regional surveys is to enable SOM researchers to study attitudes and behavior linked to local and regional issues. They emphasise public services and media, although many of the questions are identical with those used in National SOM in order to make the answers comparable both between the regions and with Sweden at large. The Super-West SOM contains data from the SOM survey in West Sweden surveys from 1992. The data contains a selection of questions frequently asked over the years, focusing on time series. The purpose of the regional surveys is to enable researchers to study attitudes and behaviour linked to local and regional issues. The dataset has changed somewhat in relation to the codebook, in order to reduce the risk of re-identification. The following changes have been made: Variables removed: ja15a, ja15b, cb15, pinc2011, hinc1990, hinc1993, hinc1999, hinc2008, hinc2011, ankom, komkod2010, kommun, yearofbirthreg, lkf, sdn The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys The dataset includes data from: The Regional Western Sweden SOM survey 1992; The Regional Western Sweden SOM survey 1993; The Regional Western Sweden SOM survey 1994; The Regional Western Sweden SOM survey 1995; The Regional Western Sweden SOM survey 1996;The Regional Western Sweden SOM survey 1997; The Regional Western Sweden SOM survey 1998; The Regional Western Sweden SOM survey 1999; The Regional Western Sweden SOM survey 2000; The Regional Western Sweden SOM survey 2001; The Regional Western Sweden SOM survey 2002; The Regional Western Sweden SOM survey 2003; The Regional Western Sweden SOM survey 2004; The Regional Western Sweden SOM survey 2005; The Regional Western Sweden SOM survey 2006; The Regional Western Sweden SOM survey 2007; The Regional Western Sweden SOM survey 2008; The Regional Western Sweden SOM survey 2009; The Regional Western Sweden SOM survey 2010; The Regional Western Sweden SOM survey 2011; The Regional Western Sweden SOM survey 2012; The Regional Western Sweden SOM survey 2013; The Regional Western Sweden SOM survey 2014; The Regional Western Sweden SOM survey 2015; The Regional Western Sweden SOM survey 2016; The Regional Western Sweden SOM survey 2017; The Regional Western Sweden SOM survey 2018; The Regional Western Sweden SOM survey 2019; The Regional Western Sweden SOM survey 2020; The Regional Western Sweden SOM survey 2021; The Regional Western Sweden SOM survey 2022; The Regional Western Sweden SOM survey 2023; The Regional Western Sweden SOM survey 2024; Wed, 18 Mar 2026 09:44:04 GMT https://researchdata.se/en/catalogue/dataset/snd1046-1 https://researchdata.se/en/catalogue/dataset/snd1046-1 University of Gothenburg This dataset includes data from: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinions and mass media - and consists of a large number of questions related to politics, society, media and social background, but their areas of focus differ. Every year, the questionnaires are complemented with questions related to current events. Data is collected through postal questionnaires with an option to respond to the survey online, and each survey is conducted under conditions as identical as possible to make the results from the different years comparable. The SOM Institute Cumulative Dataset contains data from the National SOM surveys from 1986. The data contains a selection of questions frequently asked over the years, focusing on time series. A general rule is that questions should have been asked at least four times. The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour. The dataset has changed somewhat in relation to the codebook, in order to reduce the risk of re-identification. The following changes have been made: Variables removed: kommun, pinc2009, pinc2011, hinc1986, hinc1990, hinc1993, hinc1999, hinc2008, hinc2011, ssyk, occupation1986, Variables added: socialgroup Variables aggregated: lan unionm_open The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys This dataset includes data from: The National SOM Survey 1986; The National SOM Survey 1987; The National SOM Survey 1988; The National SOM Survey 1989; The National SOM Survey 1990; The National SOM Survey 1991; The National SOM Survey 1992; The National SOM Survey 1993; The National SOM Survey 1994; The National SOM Survey 1995; The National SOM Survey 1996; The National SOM Survey 1997; The National SOM Survey 1998; The National SOM Survey 1999; The National SOM Survey 2000; The National SOM Survey 2001; The National SOM Survey 2002; The National SOM Survey 2003; The National SOM Survey 2004; The National SOM Survey 2005; The National SOM Survey 2006; The National SOM Survey 2007; The National SOM Survey 2008; The National SOM Survey 2009; The National SOM Survey 2010; The National SOM Survey 2011; The National SOM Survey 2012; The National SOM Survey 2013; The National SOM Survey 2014; The National SOM Survey 2015; The National SOM Survey 2016; The National SOM Survey 2017; The National SOM Survey 2018; The National SOM Survey 2019; The National SOM Survey 2020; The National SOM Survey 2021; The National SOM Survey 2022; The National SOM Survey 2023; The National SOM Survey 2024; Wed, 18 Mar 2026 09:43:07 GMT https://researchdata.se/en/catalogue/dataset/snd0905-1 https://researchdata.se/en/catalogue/dataset/snd0905-1 University of Gothenburg