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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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Pamap2 Dataset Preprocessed V0.1.0

Authors: Dafne van Kuppevelt; Vincent van Hees; Christiaan Meijer;

Pamap2 Dataset Preprocessed V0.1.0

Abstract

Processed PAMAP2 dataset This dataset is based on the [PAMAP2 Dataset for Physical Activity Monitoring](https://archive.ics.uci.edu/ml/datasets/PAMAP2+Physical+Activity+Monitoring). The data is processed with the code in the [mcfly repository] (https://github.com/NLeSC/mcfly/blob/master/tutorial/tutorial_pamap2.py). The preprocessing is similar to that in the paper of Reiss and Stricker, 2012. Windows of length 512 were extracted from within the activity period. Only the variables from the 16g accelerometers on hand, ankle and chest are selected. Only the activities that were performed by all subjects were selected. References A. Reiss and D. Stricker. Introducing a New Benchmarked Dataset for Activity Monitoring. The 16th IEEE International Symposium on Wearable Computers (ISWC), 2012.

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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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