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Metadata

Name
iSCAPE Citizen Science Workshops Data
Repository
ZENODO
Identifier
doi:10.5281/zenodo.3570680
Description
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.

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Air temperature (&ordm;C): 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 (&micro;g/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 &#39;%Y-%m-%d %H:%M:%S&#39;)
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
Data or Study Types
multiple
Source Organization
Unknown
Access Conditions
available
Year
2019
Access Hyperlink
https://doi.org/10.5281/zenodo.3570680

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