ArticleScientific data2025
Generating high accuracy multi-layer soil moisture at daily scale in the black soil region of China.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Generating high accuracy multi-layer soil moisture at daily scale in the black soil region of China.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The black soil region of China is one of the four major black soil regions in the world and is an important grain production base. High-accuracy soil moisture data are therefore crucial for understanding the mechanisms of drought and waterlogging on crop yields. Here, we present a 16 years (2008-2023) soil moisture dataset (DMSN) with both high spatiotemporal resolution and multi-layer spatiotemporal consistency (2 km, daily, 0-10, 10-20, 20-50, 50-100 cm),using Community Land Model 3.5 (CLM3.5). The DMSM showed excellent performance, with validation at seven field monitoring sites in the black soil region, the correlation coefficient (R) was generally greater than 0.7, the RMSE varied between 0.035 and 0.07, the MAE ranged from 0.03 to 0.06, and the bias remained between -0.02 and 0.02. The DMSM effectively captured daily, inter-annual, and seasonal soil moisture variations, providing important insights into soil moisture dynamics in this critical black soil region. These results help in understanding the potential drivers of drought and waterlogging and their impact on crop yields.
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.