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ZENODO
Dataset . 2020
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 . 2020
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 . 2020
License: CC BY
Data sources: ZENODO
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Experimental fluvial-deltaic stratigraphic patches for machine learning applications

Authors: Moodie, Andrew J.;

Experimental fluvial-deltaic stratigraphic patches for machine learning applications

Abstract

Collection of 6,132 images (128 x 128 pixels) cropped from experimental stratigraphy produced in the Tulane Delta Basin, TDB-10-1, under temporally constant boundary conditions. The images are prepared to be used in a machine learning project. Each image is prefixed with a number [0-5] which indicates the strike section the image was selected from. The cropped strike sections are obtained from the archival dataset located on SEN: http://sedexp.net/catalog/tdb-10-1-tulane-delta-basin. After cropping from the strike sections, each image was processed with binarization and a sequence of morphological opening and closing operations. The code that did the processing can be obtained at https://github.com/amoodie/StratGAN/blob/master/process_images/nrand_process.py. This data was produced as part of a larger project: https://github.com/amoodie/StratGAN

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Keywords

machine learning, sedimentology, geomorphology

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selected citations
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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).
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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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