Evidence map›Paper›PMID 40677752›Full record

ArticlePeerJ2025

Spatiotemporal prediction of soil organic carbon density in Europe (2000-2022) using earth observation and machine learning.

Xuemeng Tian, Sytze de Bruin, Rolf Simoes, Mustafa Serkan Isik, Robert Minarik, Yu-Feng Ho, Murat Şahin, Martin Herold, Davide Consoli, Tomislav Hengl

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xuemeng TianOpenGeoHub, Doorwerth, Netherlands.
Sytze de BruinLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Wageningen, Netherlands.
Rolf SimoesOpenGeoHub, Doorwerth, Netherlands.
Mustafa Serkan IsikOpenGeoHub, Doorwerth, Netherlands.
Robert MinarikOpenGeoHub, Doorwerth, Netherlands.
Yu-Feng HoOpenGeoHub, Doorwerth, Netherlands.
Murat ŞahinDepartment of Geosciences & Engineering, Delft University of Technology, Delft, Netherlands.
Martin HeroldLaboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Wageningen, Netherlands.
Davide ConsoliOpenGeoHub, Doorwerth, Netherlands.
Tomislav HenglOpenGeoHub, Doorwerth, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes a comprehensive framework for soil organic carbon density (SOCD, kg/m

Indexed as

CarbonEnvironmental MonitoringMachine LearningSoilEuropeSpatio-Temporal AnalysisCarbonSoilData transformationEarth observationMachine learningModel interpretabilityRandom forestShapley valueSoil organic carbon densitySpatial aggregationTime seriesUncertainty

Identifiers

PMID40677752
PMCPMC12269785

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.