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Sequences of Orthorectified Images of the Water Surface of Two Rivers: River Sheaf (Sheffield, UK), and River Calder (Todmorden, UK)

Research datakeyboard_double_arrow_right Dataset 13 May 2022Publisher:ZenodoFunded by:UKRI | Susceptibility of catchme..., UKRI | Rapid monitoring of river...
Authors: Dolcetti, Giulio; Hortobágyi, Borbála; Perks, Matthew; Tait, Simon;

doi: 10.5281/zenodo.6542673 , 10.5281/zenodo.6553739 , 10.5281/zenodo.6542674

Sequences of Orthorectified Images of the Water Surface of Two Rivers: River Sheaf (Sheffield, UK), and River Calder (Todmorden, UK)

Abstract

This data set contains sequences of orthorectified images of the free surface of two rivers: River Sheaf, Sheffield, United Kingdom (Latitude: 53.373056° Longitude: -1.463913° (WGS 84)), recorded between January 2019 and February 2020; River Calder, Todmorden, United Kingdom (Latitude: 53.716198° Longitude: -2.097028°), recorded between 6 and 13 October 2020. The images are extracted from videos of the water surface also included in the data set. They are complemented by Matlab files containing the corresponding average space-time Fourier spectra. Each measurement is associated with the corresponding measurement of the river depth and estimates of the discharge. Please refer to Documentation.pdf for further details.

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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).
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.
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