Managing and visualising geochemical data for tephra correlation with the IntChron Integration Tool

ABSTRACT There is now a wealth of glass‐shard geochemical data for volcanic ash (tephra) layers from a wide range of volcanoes and eruptions, providing invaluable datasets for tephrochronology. However, compilation of published data to assess tephra correlations leads to large files and requires careful management. Here, we show that a project within the IntChron Integration Tool (Ramsey et al., 2019), an open‐access and versatile online application, can be used to effectively store and manage tephra information, geochemical data and relevant metadata, while also providing visualisation and statistical tools. The visualisation functionality allows sites to be plotted on a variety of base maps, enables the plotting of tephra shard concentrations through a sequence and generates biplots of major and trace elements. The statistical tools are similarly invaluable for investigating compositional variability and relationships, and for assessing the probability that datasets correlate. An IntChron Integration Tool project supports the entire workflow, from sample and data collection through analysis and interpretation, to the generation of publication‐ready plots. Here, we present an example project to show the functionality using published data from distal tephra layers in the Lake Suigetsu core, and proximal eruption deposits from volcanoes across Japan. This project contains over 7000 geochemical analyses from 12 publications, demonstrating the power of the IntChron Integration Tool to manage, visualise and archive geochemical datasets.

Authors

Institutions

Publication Details

Journal
Journal of Quaternary Science
Published
2026-09-04
DOI
https://doi.org/10.1002/jqs.70111
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Managing and visualising geochemical data for tephra correlation with the IntChron Integration Tool

Christopher Bronk Ramsey, Daniel McLean, Emma L. Horn, Vicki Smith et al.
Journal of Quaternary Science
Geochemistry and Geologic Mapping
article

Managing and visualising geochemical data for tephra correlation with the IntChron Integration Tool

Christopher Bronk Ramsey, Daniel McLean, Emma L. Horn, Vicki Smith, Eloise Wilkinson-Rowe, Gavin Kane
article en

Abstract

ABSTRACT There is now a wealth of glass‐shard geochemical data for volcanic ash (tephra) layers from a wide range of volcanoes and eruptions, providing invaluable datasets for tephrochronology. However, compilation of published data to assess tephra correlations leads to large files and requires careful management. Here, we show that a project within the IntChron Integration Tool (Ramsey et al., 2019), an open‐access and versatile online application, can be used to effectively store and manage tephra information, geochemical data and relevant metadata, while also providing visualisation and statistical tools. The visualisation functionality allows sites to be plotted on a variety of base maps, enables the plotting of tephra shard concentrations through a sequence and generates biplots of major and trace elements. The statistical tools are similarly invaluable for investigating compositional variability and relationships, and for assessing the probability that datasets correlate. An IntChron Integration Tool project supports the entire workflow, from sample and data collection through analysis and interpretation, to the generation of publication‐ready plots. Here, we present an example project to show the functionality using published data from distal tephra layers in the Lake Suigetsu core, and proximal eruption deposits from volcanoes across Japan. This project contains over 7000 geochemical analyses from 12 publications, demonstrating the power of the IntChron Integration Tool to manage, visualise and archive geochemical datasets.

Journal of Quaternary Science
University of Oxford (GB), Oxford Archaeology (GB)
Johns Hopkins University, UK Research and Innovation, Leverhulme Trust, University of Oxford, Natural Environment Research Council
Openalex Percentile: Top 8%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.