Published April 1, 2022 | Version 1.0.0
Dataset Open

Data from: Traces of Genetic but Not Epigenetic Adaptation in the Invasive Goldenrod Solidago canadensis Despite the Absence of Population Structure

Authors/Creators

  • 1. Biodiversity Research/Systematic Botany, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
  • 2. Ecology, Department of Biology, University of Konstanz, Konstanz, Germany,
  • 3. Department of Community Ecology, Helmholtz Centre for Environmental Research–UFZ, Halle (Saale), Germany
  • 4. Institute for Landscape and Open Space, Eastern Switzerland University of Applied Sciences, Rapperswil, Switzerland

Contributors

Contact person:

  • 1. Biodiversity Research/Systematic Botany, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
  • 2. Ecology, Department of Biology, University of Konstanz, Konstanz, Germany,
  • 3. Department of Community Ecology, Helmholtz Centre for Environmental Research–UFZ, Halle (Saale), Germany
  • 4. Institute for Landscape and Open Space, Eastern Switzerland University of Applied Sciences, Rapperswil, Switzerland

Description

General information

This deposition contains the datasets that were used in the statistical analysis of the manuscript entitled Traces of genetic but not epigenetic adaptation in the invasive goldenrod Solidago canadensis despite the absence of population structure published in Frontiers in Ecology and Evolution (doi: 10.3389/fevo.2022.856453).

Uploaded files

  • README file to explain the datasets
  • AFLP/MSAP metadata called EckertHerdenStiftDurkavanKleunenJoshi_2022_FrontEcolEvol_AFLPMSAP_meta_data.txt
  • AFLP scoring dataset called EckertHerdenStiftDurkavanKleunenJoshi_2022_FrontEcolEvol_AFLP_scoring_data.txt
  • MSAP scoring dataset called EckertHerdenStiftDurkavanKleunenJoshi_2022_FrontEcolEvol_MSAP_scoring_data.txt
  • MSAP mix1-scoring dataset called EckertHerdenStiftDurkavanKleunenJoshi_2022_FrontEcolEvol_MSAP_scoring_data_mix1.txt
  • All files were combined in a .zip file

Notes

This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) in the project number 491466077 and with the following grants: KL 1866/10-1 and JO 777/8-1.

Files

EckertHerdenStiftDurkavanKleunenJoshi_2022_FrontEcolEvol_Zenodo_deposition.zip

Files (88.4 kB)

Additional details

Related works

Is cited by
Journal article: 10.3389/fevo.2022.856453 (DOI)