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ZENODO
Dataset . 2020
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ZENODO
Dataset . 2020
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ZENODO
Dataset . 2020
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Data sources: Datacite
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ZENODO
Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Smithsonian figshare
Dataset . 2020
License: CC BY
Data sources: Bielefeld Academic Search Engine (BASE)
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Claim

The pseudo-two-dimensional dynamics in a system of macroscopic rolling spheres - Experimental data

Research datakeyboard_double_arrow_right Dataset 16 Jun 2020Publisher:Zenodo
Authors: López-Castaño, M. A.; González-Saavedra, J. F.; Rodríguez-Rivas, A.; Abad, E.; Yuste, S. B.; Vega Reyes, F.;

doi: 10.5281/zenodo.4544283 , 10.5281/zenodo.3909277 , 10.5281/zenodo.4159887 , 10.5281/zenodo.3909323 , 10.5281/zenodo.3897345 , 10.5281/zenodo.3897344 , 10.5281/zenodo.4113876 , 10.5281/zenodo.3924930

The pseudo-two-dimensional dynamics in a system of macroscopic rolling spheres - Experimental data

Abstract

Each file has an unique experiment_id at the beginning of its name. "*_trajectories.pkl" files are stored in a compressed Python pickle format, they can be read with pandas as follows: import pandas as pd df = pd.read_pickle(file_dir_name, compression='xz') "_info.txt" files cointain all the physical details of each experiment

Related Organizations
Keywords

Ecology, Sociology, Space Science, experiment, Science Policy, Environmental Sciences not elsewhere classified, Information Systems not elsewhere classified, Medicine, granular matter, Molecular Biology, physics, Developmental Biology, Biological Sciences not elsewhere classified

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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visibility
download
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
12
19
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Science and Innovation Policy Studies