title: Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping.
abstract: With the implementation of novel automated, high throughput methods and facilities in the last years, plant phenomics has developed into a highly interdisciplinary research domain integrating biology, engineering and bioinformatics. Here we present a dataset of a non-invasive high throughput plant phenotyping experiment, which uses image- and image analysis- based approaches to monitor the growth and development of 484 Arabidopsis thaliana plants (thale cress). The result is a comprehensive dataset of images and extracted phenotypical features. Such datasets require detailed documentation, standardized description of experimental metadata as well as sustainable data storage and publication in order to ensure the reproducibility of experiments, data reuse and comparability among the scientific community. Therefore the here presented dataset has been annotated using the standardized ISA-Tab format and considering the recently published recommendations for the semantical description of plant phenotyping experiments.
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Daniel
authors.identifier: http://orcid.org/0000-0002-2455-5938
authors.initials: D
authors.lastname: Arend
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Matthias
authors.identifier: http://orcid.org/0000-0002-4316-078X
authors.initials: M
authors.lastname: Lange
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Jean-Michel
authors.initials: JM
authors.lastname: Pape
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Kathleen
authors.initials: K
authors.lastname: Weigelt-Fischer
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Fernando
authors.initials: F
authors.lastname: Arana-Ceballos
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Ingo
authors.initials: I
authors.lastname: Mücke
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Klukas
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Thomas
authors.initials: T
authors.lastname: Altmann
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Uwe
authors.identifier: http://orcid.org/0000-0001-6113-3518
authors.initials: U
authors.lastname: Scholz
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Stadt Seeland D-06466, Germany.
authors.forename: Astrid
authors.identifier: http://orcid.org/0000-0002-4656-0308
authors.initials: A
authors.lastname: Junker
mesh_terms: D017360:Arabidopsis / Q000235:genetics*; D029681:Arabidopsis Proteins; D019295:Computational Biology; D018745:Genome, Plant; D023281:Genomics; D048788:Growth and Development; D007091:Image Processing, Computer-Assisted; D016247:Information Storage and Retrieval; D010641:Phenotype; D063245:Plant Development; D018515:Plant Leaves; D018517:Plant Roots; D018520:Plant Shoots; D010944:Plants; D015203:Reproducibility of Results; D012984:Software
chemical_list: D029681:Arabidopsis Proteins