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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Matlab and R codes and free software for computation of trajectory smoothness of trace fossils

Authors: Wang, Zekun; Gabrielli, Maria Gabriella; Buatois, Luis; Hang, Nianzhi;

Matlab and R codes and free software for computation of trajectory smoothness of trace fossils

Abstract

The MATLAB codes and R codes, along with a free software are uploaded here to help compute trajectory smoothness of the linear trace fossils. This is part of the paper titled "Smoothness analyses of trace fossils: expanding quantitative toolkits to unravel bilaterian movement ecology during the Ediacaran-Cambrian transition" published in Proceedings of the Royal Society B (https://doi.org/10.1098/rspb.2025.0889). Some basic knowledge to vectorize trace fossils and compute deviation angles series can also be found in https://doi.org/10.1111/pala.12686. The input data should be two series of numbers (x and y coordinates in any units, e.g., pixels) in txt format, and the sampling frequency is designed to be 2 for the presented codes and software when performing smoothness analyses. When making comparisons between the signal powers of different trajectories, trajectories should be at the same order of length. PS: There is a typographical error in Equation 2.5 in the paper. The correct expression should just be: P_unsmooth=∫S(fd)df* from 0.5 to 1. The coefficient F/N in the paper is equivalent to df* and was intended to represent the discretization step in the summation form (e.g. as implemented in the code), rather than in the integral form. The implementation in the code and software is correct.

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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
Average
Average
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