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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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The code and software for trajectory analysis in ichnology: Earth-Science Reviews

Authors: Wang, Zekun; Rindsberg, Andrew; Miguez-Salas, Olmo;

The code and software for trajectory analysis in ichnology: Earth-Science Reviews

Abstract

This repository provides the MATLAB script (Trajectory_all.m), its compiled standalone software (Trajectory_Analysis_Version7.exe), and the benchmark input trajectory dataset (Coordinates1.txt), which are utilized for the quantitative analysis of trace fossil trail geometries. This material serves as a supplement to the paper "The Epistemic Architecture of Palaeontological Reasoning: Trace Fossil Studies as an Example" in Earth-Science Reviews, by Wang et al., 2026. The required input comprises a dual-series coordinate dataset (x, y). If a persistence analysis on concentrated foraging trail is performed, an additional coordinate series (X, Y) defining the outer boundary of the foraging patch must also be provided. For predicting locomotor sizes, the analyzed trajectory does not need to be very long; however, it must encapsulate the sharpest or most abrupt directional change recorded within the trackway to reflect the biomechanical constraints. For smoothness analysis, sampling frequency must not smaller than 2, while 2 or 3 is the optimal choice. For detailed instructions, please refer to the "Read-Me File" embedded within the software.

Keywords

Trace fossil

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average