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ZENODO
Dataset . 2019
License: CC 0
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC 0
Data sources: Datacite
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 . 2019
License: CC 0
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2019
License: CC 0
Data sources: Sygma
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iSCAPE Citizen Science Workshops Data

Authors: González, Óscar; Barberán, Víctor; Camprodon, Guillem; Gharbia, Salem; Stibe, Santa; Pilla, Francesco; Kumar, Prashant; +5 Authors

iSCAPE Citizen Science Workshops Data

Abstract

Dataset Description This dataset contains all the sensor data recorded during the Citizen Science Workshops during the iSCAPE project . Several workshops were held as part of the Citizen Science activities during the project in the cities of Vantaa, Dublin, Bologna, Bottrop, Hasselt and Guildford. Each csv file contains time series data of each experiment, and the yaml files contain the lists of devices used in each site. Sensors The sensors used are herein referred as Citizen Kits or Smart Citizen Kits, and are a set of modular hardware components that feature a selection of low cost sensors for environmental monitoring listed below. The hardware is licensed under CERN Open Hardware License V1.2 and is fully described in the HardwareX Open Access publication: https://doi.org/10.1016/j.ohx.2019.e00070. The sensor documentation can be found at https://docs.smartcitizen.me and with this DOI at Zenodo: https://doi.org/10.5281/zenodo.2555029. In the list below, the different sensors for the Citizen Kits are detailed, and their [CHANNELS] in the csv files above linked. Air temperature (ºC): Sensirion SHT-31 [TEMP] Relative Humidity (%rh): Sensirion SHT-31 [HUM] Noise level (dBA): Invensense ICS-434342 [NOISE_A] Ambient light (lux): Rohm BH1721FVC [LIGHT] Barometric pressure (kPa): NXP MPL3115A26 [PRESS] Particulate Matter PM 1 / 2.5 / 10 (µg/m3) Planttower PMS 5003 [EXT_PM_1,EXT_PM_25,EXT_PM_10] How to find the data Each yaml file contains the description of a test. Each test is comprised of recordings of several devices in the same location and during the same period. Each yaml file is comprised of the following fields: author: who has been in charge of performing the test (internal reference - not relevant) comment: describing in general terms what was done in the test, and with what purpose commit: the firmware commit (in the case of Smart Citizen devices) with which the test was performed, for development purposes only devices: a descriptor containing different fields for traceability (below) id: the test name project: within the test was performed, in this case it is always iscape report: if there is any report analysing the test type_test: indoor, oudoor test or other. Description of devices entry For each device that was used in the test, two generic types are used: low cost sensors (type: STATION or KIT) high end sensors (type: REFERENCE) For low cost Smart Citizen sensors, the fields are: alphasense: electrochemical sensors device ids, by pollutant (for manufacturer calibration) and slots in which they were placed device_id: device id in Smartcitizen API fileNameInfo: not used fileNameProc: (only if source = csv is specified) 2019-03_EXT_UCD_URBAN_BACKGROUND_API_CITY_COUNCIL_REF.csv fileNameRaw: (only if source = csv is used) raw file name frequency: original recording frequency location: for timezone correction only, not accurate max_date: last recording date min_date: first recording date name: self-explanatory pm_sensor: if there was a pm sensor connected (all of them are PMS5003 if no sensor is specified) source: api or csv type: STATION (KIT + Alphasense + PM board with two PMS5003) or KIT version: smartcitizen hardware version For high end sensors, the fields are: channels: which channels the device was recording for internal convertion names: which are the columns in the csv file pollutants: which pollutants do they respectively refer to units: the units of these pollutants equipment: the brand of the analyser fileNameProc: same as above fileNameRaw: same as above index: format in which the timeindex is done, for parsing purposes format: (example '%Y-%m-%d %H:%M:%S') frequency: frequency at which the device was recorded name: column name location: same as above name: name of the device type: REFERENCE (always for these devices) source: csv iSCAPE Dataset Reference Numbers The datasets here presented are related to the following iSCAPE dataset reference numbers: DS_TS_093 DS_TS_094 DS_TS_095 DS_TS_096 DS_TS_097 DS_TS_098

Keywords

Low-Cost Sensors, Citizen Science, Air Quality

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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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