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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Simulated data for particle tracking and use in TrackMateR package

Authors: Royle, Stephen;

Simulated data for particle tracking and use in TrackMateR package

Abstract

The purpose of this dataset is to provide some example data for users of TrackMateR to use to become familiar with the package. The dataset contains three elements: Code to simulate some images (movies) of particle motions in 2D in Fiji. `particleSimulator.ijm` will generate images and ground truth positions of particles moving in six different modes (see below). An example output is given in `particleSimulatorOutput/` Code to automate the tracking of these images using TrackMate in Fiji. An example output is give in `TrackMateOutput/` These XML files can be used as the input in TrackMateR package. Outputs from TrackMate v 0.3.5 in `TrackMateROutput/` The simulated data is: Simulation A - particles moving in linear direction, variable but constant direction, high speed Simulation B - particles moving in linear direction, variable but constant direction, slow speed Simulation C - random motion high D (diffusion coefficient) Simulation D - random motion low D Simulation E - random motion, 50:50 mix of high and low D particles Simulation F - random motion, subdiffusive These TrackMate XML files can be processed using TrackMateR as described here.

Related Organizations
Keywords

TrackMate, biophysics, single particle tracking, cell biology, microscopy

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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