Data underlying the publication: ‘Effects of E. coli Nissle 1917 on the Porcine Gut Microbiota and Immune System in Early Life’

doi:10.4121/15060177.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15060177
Datacite citation style:
Geervliet. M. (Mirelle); Hugo de Vries; Christine A. Jansen; V.P.M.G. (Victor) Rutten; Hubèrt van Hees et. al. (2022): Data underlying the publication: ‘Effects of E. coli Nissle 1917 on the Porcine Gut Microbiota and Immune System in Early Life’. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15060177.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Wageningen University and Research logo
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geolocation
Swine Research Centre, St. Antonis, The Netherlands
time coverage
September 2018 until November 2018
licence
cc-by-sa.png logo CC BY-SA 4.0
This dataset contains data collected during an in vivo experiment with pigs at the Wageningen University as part of the PhD Thesis Projects of Mirelle Geervliet and Hugo de Vries (first authors of the manuscript). This research project was made possible by The Netherlands Organisation for Scientific Research and Vereniging Diervoeders Nederland (VDN).
history
  • 2022-02-09 first online, published, posted
publisher
4TU.ResearchData
format
Rproj RMD csv pdf xlsx pcrd tif
organizations
Cell Biology and Immunology Group, Wageningen University & Research

Host-Microbe Interactomics Group, Wageningen University & Research

Laboratory of Microbiology, Wageningen University & Research

Department of Biomolecular Health Sciences, Division of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University

Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria

Research and Development, Trouw Nutrition

Department of Biotechnology and Biomedicine, Technical University of Denmark

Department of Cellular, Computational and Integrative Biology, University of Trento

DATA

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