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: 10.4121/21294510

Floriana Anselmucci (2023): Dataset of X-ray Computed Tomography Reconstructions of Partially Saturated Vegetated Sand. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21294510.v2

Dataset

x choose version: version 1 - 2022-10-11

• Civil Engineering
• Artificial Intelligence and Image Processing
• Interdisciplinary Engineering
• Engineering
• Information and Computing Sciences

image processing protocols, Image Segmentation, Partially saturated soil, Root system architecture, X-ray computed tomography (X-ray CT)

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Floriana Anselmucci

  

The dataset contains the raw data of 4 reconstructed images from x-ray computed tomography. The content of the images represents the 4D in-vivo evolution of a vegetated sand microstructure. The pixel size is 60 microns and equal for all the 3D images. The samples are partially saturated, with a relative density of 30%, and Maize root system growing in it (Day 2 and Day 6 post germination). The sand used are two different granulometry of Hostun sand. One set of data refers to Hostun_1.5-2, with D50=1.9mm, the other refers to Hostun_31, with D50=0.33mm.

The dataset can be used to recreate the image processing protocol to segment the root system and the soil matrix, as presented in Anselmucci at al, 2021a,b.

The data is intended to be used with the purpose to develop an automated root-segmentation tool.

• 2022-10-11 first online

• 2023-06-26 published, posted

4TU.ResearchData

tif file

Imaging local soil kinematics during the first days of maize root growth in sand

• https://doi.org/10.1038/s41598-021-01056-1
• https://doi.org/10.1680/jgele.20.00114

University of Twente, Faculty of Engineering Technology (ET), Chair of Soil Micro Mechanics (SMM)