A dataset of µCT images of small samples of constructed Technosol from bioretention cells

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-10-24 DOI:10.1016/j.dib.2024.111066
Petra Marešová , John Koestel , Aleš Klement , Radka Kodešová , Michal Sněhota
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Abstract

The dataset represents micro computed tomography (µCT) images of undisturbed samples of constructed Technosol, obtained by sampling from the top layer of the biofilter in two bioretention cells. A bioretention cell is a stormwater management system designed to collect and temporarily retain stormwater runoff and treat it by filtering it through a soil media called a biofilter. Soil samples were collected at 7, 12, 18, 23, and 31 months after the establishment of bioretention cells. The constructed Technosol was composed of 50% sand, 30% compost, and 20% topsoil. The bioretention cell 1 (BC1) was designed to collect water from the nearby building roof, and bioretention cell 2 (BC2) was without regular inflow for possible irrigation events. This allowed for the capture of the dynamics of early soil structure development. The dataset comprises a total of 120 three-dimensional µCT images. The 16-bit µCT images obtained by industrial scanner have resolutions of 12 and 20 µm. The characteristics of total porosity, volumetric weight of the dry sample and field capacity were determined in the laboratory for each sample. The generated dataset captures the soil structure development within the biofilter during the initial years of operation of bioretention cells with two distinct water regimes. Originally produced to describe the development of the macropore system during early biofilter evolution, this extensive and high-quality dataset can be reused for further studies on constructed Technosol evolution, focusing on soil structure or hydraulic properties. It is particularly beneficial for research into macropore network development and changes in hydraulic properties in constructed soils. The dataset can support model validation and improve understanding of soil property variability in bioretention systems. It serves as a valuable resource for researchers who lack the means to collect and scan their own samples.
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从生物滞留池中提取的小样本技术溶胶的 µCT 图像数据集
该数据集代表了从两个生物滞留池中的生物滤池顶层取样获得的未受干扰的已建 Technosol 样品的微型计算机断层扫描 (µCT) 图像。生物滞留池是一种雨水管理系统,旨在收集和暂时滞留雨水径流,并通过称为生物滤池的土壤介质进行过滤处理。在生物滞留池建成后的 7、12、18、23 和 31 个月收集土壤样本。构建的 Technosol 由 50% 的沙子、30% 的堆肥和 20% 的表土组成。生物滞留池 1(BC1)的设计目的是收集附近建筑物屋顶的水,生物滞留池 2(BC2)则没有为可能发生的灌溉事件提供定期流入水。这样就可以捕捉到早期土壤结构发展的动态变化。数据集共包括 120 幅三维 µCT 图像。工业扫描仪获得的 16 位 µCT 图像分辨率分别为 12 和 20 微米。每个样本的总孔隙率、干样本的体积重量和田间容量等特征都是在实验室测定的。生成的数据集捕捉到了生物滞留池在两种不同水系下运行最初几年中生物滞留池内土壤结构的发展情况。该数据集最初用于描述生物滤池早期演化过程中大孔隙系统的发展情况,其广泛而高质量的数据集可重新用于对构造型技术溶胶演化的进一步研究,重点关注土壤结构或水力特性。它尤其有利于研究构建土壤中大孔隙网络的发展和水力特性的变化。该数据集可支持模型验证,并加深对生物滞留系统中土壤特性变化的理解。对于没有能力自行采集和扫描样本的研究人员来说,它是一个宝贵的资源。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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