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Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset . 2022
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Automated Minirhizotron Validation Data

Authors: Nair, Richard; Strube, Martin; Hertel, Martin; Kolle, Olaf; Rolo, Victor; Mirco Migliavacca;

Automated Minirhizotron Validation Data

Abstract

This dataset is contains the validation data (raw images and binary masks generated by hand) for the automated minirhizotrons in our paper 'HIGH FREQUENCY ROOT DYNAMICS: SAMPLING AND INTERPRETATION USING REPLICATE ROBOTIC MINIRHIZOTRONS' published in Journal of Experimental Botany. https://doi.org/10.1093/jxb/erac427 The dataset consists of one readme, four .7z files and one python script all contained in one .7z file. The files are described in the readme file. Some of these data were collected and all processed as part of the Marie Sklodowska-Curie project 748893 'MrPARTS' awarded to Richard Nair. We also acknowledge the generous support of Markus Reichstein at MPI-BGC Jena including to the MaNiP project through the Max Planck research prize 2013

Keywords

minirhizotron, root imagery

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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.
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!
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