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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
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 . 2022
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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Ship tracks detected using machine learning algorithm

Research datakeyboard_double_arrow_right Dataset 31 Aug 2022Publisher:ZenodoFunded by:EC | FORCeS
Authors: Duncan Watson-Parris; Angus Laurenson; Daniel Clewley;

doi: 10.5281/zenodo.7038702 , 10.5281/zenodo.7038703

Ship tracks detected using machine learning algorithm

Abstract

The filtered, vector ship tracks detected using the linked machine learning algorithm and derived from the linked segmentation masks. Each dataset contains the date and other related data for each shiptrack polygon. The `_geo` dataset contains the polygons on a lat/lon coordinate system while the other provides the polygons on the MODIS swath (pixel) indices.

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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
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