ArticleScientific reports2026
Stratapy: a tool for automated stratigraphic log visualisation.
Article in Scientific reports, 2026. 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.
- Stratapy: a tool for automated stratigraphic log visualisation.Scientific reports · 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
No grant is acknowledged in the PubMed record.
Abstract
Stratigraphic logs are the fundamental interface between geological observations and scientific interpretation. Manual log visualisation is time-consuming and difficult to reproduce, yet existing digitisation tools are limited and often tailored to specific fields and applications, with many unable to provide core functions. We present stratapy: a Python package for rapid, high-quality log digitisation, designed to be accessible for non-programmers. The tool enables scientists across a range of disciplines to rapidly generate publication-quality stratigraphic logs with basic text- or spreadsheet-based inputs. We have designed stratapy to be accessible even to non-programmers while maintaining a high degree of flexibility in both style and function using a simple parameter-based customisation approach. We incorporate standardised lithological patterns and curated geological features and symbology, as well as automatic correlation with the chronostratigraphic column, the addition of sample locations, annotations and more. For more tailored visualisation, stratapy can easily assemble multi-panel or stratigraphically correlated logs to illustrate complex systems. With applications across research and industry, we create a standardised framework for log illustration and digitisation. This tool will modernise scientific workflows, improving the quality of stratigraphic logs and their interpretation, while contributing towards improved digital practices in the Earth sciences.
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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.