Data set showing the development of a hyperspectral imaging technique using LA-ICP-MS to determine the spatial distribution of nutrients in soil cores

Muhammad Zaeem; Muhammad Nadeem; Thu Huong Pham; Waqar Ashiq; Waqas Ali; Syed Shah Mohioudin Gillani; Eric R D Moise; Heather Leier; Vanessa Kavanagh; Lakshman Galagedara; Mumtaz Cheema; Raymond Thomas

doi:10.1016/j.dib.2021.107677

Data set showing the development of a hyperspectral imaging technique using LA-ICP-MS to determine the spatial distribution of nutrients in soil cores

Data Brief. 2021 Dec 5:40:107677. doi: 10.1016/j.dib.2021.107677. eCollection 2022 Feb.

Authors

Affiliations

¹ School of Science and the Environment, Grenfell Campus, Memorial University of Newfoundland, Corner Brook, A2H 5G4, Canada.
² School of Environmental Sciences, University of Guelph, N1G 2W1, Guelph, Ontario, Canada.
³ Natural Resources Canada, Canadian Forest Service - Atlantic Forestry Centre, 26 University Drive, Corner Brook, Newfoundland and Labrador, Canada, A2H 5G4.
⁴ Department of Art, University of Calgary Alberta, Canada, T2N 1N4.
⁵ Department of Fisheries, and Land Resources, Government of Newfoundland and Labrador, A0L 1K0, Canada.

Abstract

This data in brief article represents the data set associated with a research article published in Geoderma [1]. The data set represents figures showing the spatial distribution of selected macro and micronutrients, and their quantification in different crop or nutrient management systems practiced in the boreal ecosystem. Spatial distribution of nutrients was measured by laser ablation inductively coupled plasma mass spectrometry (LA‒ICP‒MS), using the new techniques we developed to visualize nutrient distribution in intact soil cores representative of the root rhizosphere. This data article supports the findings published in the main article [1]. This work also demonstrates that LA-ICP-MS is a valuable technique to image the spatial distribution of macro and micronutrients in intact soil cores as affected by different crop management practices.

Keywords: Elemental imaging; Imaging mass spectrometry; Nutrient mapping; Soil core nutrient imaging; Spatial mineral distribution.