row_filter

Companion software and Jupyter notebooks for the paper: B. Cloud, B. Tarien, A. Liu, T. Shedd, X. Lin, M. Hubbard, P. Crawford, and J. Moore, "Adaptive smartphone-based sensor fusion for estimating competitive rowing kinematic metrics", 2019. A preprint of the article can be viewed here: https://engrxiv.org/nykuh The source for the paper can be found here: https://gitlab.com/mechmotum/row_filter_paper The software repository can be found here: https://gitlab.com/mechmotum/row_filter The accompanying data can be found here: https://doi.org/10.6084/m9.figshare.7963643.v2

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Identity

Description: The Identity category includes attributes that support the identification of the resource.

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PID https://www.doi.org/10.5281/zenodo.3378965
URL https://figshare.com/articles/row_filter/9740870
URL http://dx.doi.org/10.5281/zenodo.3378965
URL https://zenodo.org/record/3378965
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

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Access Right Open Source
Attribution

Description: Authorships and contributors

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Author Moore, Jason K., 0000-0002-8698-6143
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

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Collected From Zenodo; figshare; Datacite
Hosted By Zenodo; figshare
Publication Date 2019-08-27
Publisher Zenodo
Additional Info
Field Value
Language English
Resource Type Software
system:type software
Management Info
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Source https://science-innovation-policy.openaire.eu/search/software?softwareId=dedup_wf_001::ae7197d4a86db2b9f6ddad87381a2c54
Author jsonws_user
Last Updated 17 December 2020, 19:05 (CET)
Created 17 December 2020, 19:05 (CET)