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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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 . 2022
License: CC BY
Data sources: Datacite
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Occitania-Transportation Mode

Authors: Fourez, Thibault;

Occitania-Transportation Mode

Abstract

Occitania Transport Mode (OCC-TM) is a mobility dataset collected using a smartphone application developed as part of Vilagil research project. This application passively collects GPS positions and accelerometer signals from the smartphone. This study focuses on data collected by a 25-year-old male user. This user then added a label corresponding to the mode of transportation (walk, still, car, bus, bike, train or metro) of each observation point. The smartphone used for collection is a Samsung Galaxy A32 with the Android 11 operating system. The dataset data was collected by a single user in a discontinuous manner from July 26, 2022 to August 10, 2022. This user moved around the Occitania region in the south of France (between Toulouse and Montpellier), noting for each trip the start time, end time, and mode of transportation used. The .zip file contains two folders: - raw_data: raw accelerometer, location and label data in .csv format - processed_data: feature dataset in .csv format Please cite the paper below in your publications if it helps your research: TODO

Keywords

Transport Mode Detection, Accelerometer, GPS, Smartphone sensors

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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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