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      <title>Data from plants and arthropods connected to the root microbiome in Solanum dulcamara across contrasting habitats</title>
      <description>Phenotypic plant data and herbivory intensity data from eight Solanum dulcamara populations in four habitats, and arthropod data from five of these populations collected in pan straps and sticky traps. The phenotypic plant data include measures on growth and reproduction. Herbivory data include measures on lost leaf area.  Arthropod data are divided into different taxa.</description>
      <pubDate>Thu, 03 Sep 2026 12:19:13 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2026-144</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2026-144</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Åsa Lankinen</dc:creator>
      <dc:creator>Kristin Aleklett</dc:creator>
    </item>
    <item>
      <title>Dataset on stormwater bioretention column studies: Impact of temperature, salt and a submerged zone on the removal of metals, nutrients and suspended solids</title>
      <description>This data set presents the full raw data from bioretention column studies conducted at Luleå University of Technology in 2010-2014. The pilot scale columns were watered with synthetic stormwater. Influent and effluent samples were collected and analysed for pollutants including total and dissolved metals, nutrients, pathogens and suspended sediment. Further, supporting parameters (e.g. pH, conductivity) are included. The data enables quantifying the impact of bioretention design factors (submerged zone) and ambient factors (salinity in stormwater inflow, temperature) on the removal of these pollutants by bioretention. All filters utilised the same general column design and filter material as well as stormwater preparation. This enables inter-comparability between the different studies. Synthetic stormwater inflow concentrations and bioretention effluent concentrations are presented in the data set. Further, metal concentrations in the filter material and plant tissue have been analysed. The data set enables further analyses of bioretention performance, comparison with similar work performed elsewhere and can be used in modelling of bioretention removal performance and processes. Scientific papers describing the data have been published (see Publications)

See documentation files:
- SummarisingDescription.pdf - summarising description of experiments incl. an illustration of column design
- SummarisingTable.xlsx - table with overview of studies and included parameters (pollutants) and factors. The table describes the content of each data file.

Further information on experimental design and methods are available in the related scientific journal publications.</description>
      <pubDate>Mon, 22 Aug 2022 12:50:01 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2022-29-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2022-29-1</guid>
      <dc:publisher>Luleå University of Technology</dc:publisher>
      <dc:creator>Godecke-Tobias Blecken</dc:creator>
      <dc:creator>Kerstin Nordqvist</dc:creator>
      <dc:creator>Maria Viklander</dc:creator>
      <dc:creator>Laila Søberg</dc:creator>
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      <title>Post-fire vegetation succession after 5 years in managed pine forests at different time since clearcutting</title>
      <description>To study plant community succession after fire and how it is influenced by time since previous (pre-fire) disturbance, vegetation data were collected in 2019, 5 years after a large (13000 hectare) wildfire in boreal Southern Sweden (county Västmanland). Plant communities were surveyed in severely burnt even-aged pine stands that varied in time since clearcutting (0-123 years) before the wildfire occurred.  Data includes at the plot-level (50x50cm quadrats): vascular and moss species frequency, total cover, dead wood, and canopy openness. At the stand-level: means for all species, community weighted trait means (trait data from databases), and distance to the fire perimeter.

Two files are archived. (1) post_fire_vegetation_TSC_plotlevel_data.csv contains all raw data from each surveyed vegetation plot, (2) post_fire_vegetation_TSC_standlevel_trait_sp_data.csv contains averaged species abundance data and community weighted trait means at the stand level.</description>
      <pubDate>Thu, 25 Feb 2021 13:15:28 GMT</pubDate>
      <link>https://researchdata.se/en/catalogue/dataset/2021-46-1</link>
      <guid>https://researchdata.se/en/catalogue/dataset/2021-46-1</guid>
      <dc:publisher>Swedish University of Agricultural Sciences</dc:publisher>
      <dc:creator>Lena Gustafsson</dc:creator>
      <dc:creator>Victor Johansson</dc:creator>
      <dc:creator>Alexandro Leverkus</dc:creator>
      <dc:creator>Joachim Strengbom</dc:creator>
      <dc:creator>Sofie Wikberg</dc:creator>
      <dc:creator>Gustaf Granath</dc:creator>
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