ArticleScientific data2026
A comprehensive China topsoil dataset of high-resolution microstructure, topographical characteristics and physical properties.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The Soil-Plant Coupling Principle (SPCP): A Conceptual Framework for Diagnosing Hidden Ecosystem Vulnerability.Plants (Basel, Switzerland) · 2026Article
- A comprehensive China topsoil dataset of high-resolution microstructure, topographical characteristics and physical properties.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Soil microstructure regulates the transport and reaction of air, water, and nutrients within terrestrial ecosystems. However, high-resolution soil microstructural data remain scarce due to the inherent heterogeneity and opacity of soils as well as the technical and financial limitations of advanced imaging. In this study, we present a novel 3D soil microstructure dataset that integrates high-resolution imaging data of soils across China (CHARM3D) with comprehensive measurements of topological and physical properties to quantitatively characterize soil morphological parameters. The dataset comprises high-resolution X-ray computed tomography (XCT) reconstructions of 120 soil samples from 30 sites across six major Chinese ecosystems, with morphological, topological, and physical parameters derived through advanced image processing and pore-scale modeling. A case study analyzing representative samples from six ecosystems illustrates the dataset's ability to provide key parameters for reactive transport modeling, including pore connectivity, permeability, and porosity distribution. The dataset provides a general framework for characterizing porous media structure and supporting the calibration of soil hydraulic models, with potential applicability to other porous materials such as deeper soil horizons and rock samples.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.