Evidence map›Paper›PMID 42062317›Full record

ArticleScientific data2026

Database of Generated Rock Microstructures and their Computed Geometrical and Hydraulic Properties.

Sijmen Zwarts, Winston Lindqwister, Martin Lesueur

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sijmen ZwartsCivil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands. s.zwarts@tudelft.nl.
Winston LindqwisterCivil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands.
Martin LesueurCivil Engineering and Geosciences, Delft University of Technology, Delft, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a strong link between a material's microstructural features and its macroscopic physical properties. However, heterogeneities in real-world rock microstructures often result in strong cross-correlations between the microscopic features, making it difficult to evaluate the influence of individual characteristics. Minkowski functionals (MFs), a set of measures derived from integral geometry, have recently gained attention as a robust way to quantify microstructural features. Recent datasets include the computed MFs to study their influence, but typically lack variation in individual MFs and offer limited ability to isolate specific contributions. Therefore, we present a curated, open-source dataset

Identifiers

PMID42062317
PMCPMC13338205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.