UrbanSense environmental monitoring
Data and Resources
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USense_24_de_AgostoZIP
Station 24 de Agosto (Ferreira Cardoso) Location: Rua Ferreira Cardoso,...
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USense_Anemona ZIP
Station Anemona (Matosinhos) Location: Anemona, Matosinhos, Porto, Portugal...
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USense_Av.FrancaZIP
Station Av.Franca (Avenida de França) Location: Avenida de França, Porto,...
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USense_Bolhao_pole1ZIP
Station Bolhao pole1 (Rua de Fernandes Tomás) Location: Rua de Fernandes...
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USense_Campo_Alegre ZIP
Station Campo Alegre (Rua do Campo Alegre) Location: Rua do Campo Alegre,...
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USense_Candido_dos_ReisZIP
Station Candido dos Reis (Rua de Cândido dos Reis) Location: Rua de Cândido...
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USense_Casa_da_MusicaZIP
Station Casa da Musica ( Praça de Mouzinho de Albuquerque) Location: Praça...
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USense_Castelo_do_QueijoZIP
Station Castelo do Queijo (Avenida Montevideu) Location: Avenida Montevideu,...
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USense_CombatentesZIP
Station Combatentes (Avenida dos Combatentes da Grande Guerra) Location:...
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USense_CongregadosZIP
Station Congregados (Rua da Alegria) Location: Rua da Alegria, Porto,...
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USense_D.Manuel II ZIP
Station D.Manuel II (Rua de Dom Manuel II) Location: Rua de Dom Manuel II,...
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USense_Estadio_do_DragaoZIP
Station Estadio do Dragao (Alameda das Antas) Location: Alameda das Antas,...
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USense_FEUP_P1ZIP
Station FEUP P1 (Faculdade de Engenharia da Universidade do Porto ) Location:...
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USense_Fundacao_de_SerralvesZIP
Station Fendacao de Serralves (Serralves) Location: Serralves, Porto,...
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USense_Hospital_de_S.JoaoZIP
Station Hospital de S.Joao (Estrada da Circunvalação) Location: Estrada da...
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USense_Pr_Liberdade das CardosasZIP
Station Pr_Liberdade das Cardosas (Praça da Liberdade) Location: Praça da...
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USense_Praca_VelasquezZIP
Station Praca Velasquez (Avenida de Fernão de Magalhães) Location: Avenida de...
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USense_Praca_da_GalizaZIP
Station Praca da Galiza (Rua de Júlio Dinis) Location: Rua de Júlio Dinis,...
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USense_Praca_do_MarquesZIP
Station Praca do Marques (Praça do Marquês de Pombal) Location: Praça do...
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USense_ReitoriaZIP
Station Reitoria (Jardim da Cordoaria) Location: Jardim da Cordoaria, Porto,...
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USense_Rua_das_FloresZIP
Station Rua das Flores Location: Rua das Flores, Porto, Portugal (Latitude:...
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USense_TrindadeZIP
Station Trindade ( Rua de Camões) Location: Rua de Camões, Porto, Portugal...
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USense_Damiao_de_GoisZIP
Station Damiao de Gois (Rua de Damião de Góis) Location: Rua de Damião de...
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Sensor Data SheetZIP
This file contains information about the sensors used to collect UrbanSense...
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Dados_UsenseJSON
This file contains the structure of all the folders that make up the...
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Dados_USenseRDF
This file contains the UrbanSense project metadata.
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Dados_USenseTXT
This file contains the UrbanSense project metadata.
Additional Info
Field | Value |
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Author | Ana Cristina Costa Aguiar |
Last Updated | Kasım 15, 2018, 11:16 (UTC) |
Created | Haziran 21, 2018, 16:03 (UTC) |
DOI | https://doi.org/10.25747/SG46-QF55 |
dc.Contributor | European Commission |
dc.Coverage.Spatial | Porto, Portugal |
dc.Coverage.Temporal | 22/06/2014 a 26/08/2017 |
dc.Format | *.csv; *.pdf |
dc.Format.Extent | 3.06GB |
dc.Identifier | https://futurecities.up.pt/site/hybrid-sensor-networking-testbed/ |
dc.Language | PT |
dc.Relation | 1. Yunior Luis, Pedro M. Santos, Tiago Lourenco, Carlos Pérez-Penichet, Tânia Calcada, and Ana Aguiar. 2012. UrbanSense: an Urban-scale Sensing Platform for the Internet of Things. 2016 IEEE Smart Cities Conference (ISC2). DOI: 10.1109/ISC2.2016.7580869 2. Pedro M. Santos, Tânia Calçada, Diogo Guimarães, Tiago Condeixa, Susana Sargento, Ana Aguiar, João Barros. 2015. Demo: Platform for Collecting Data From Urban Sensors Using Vehicular Networking. DOI: 10.1145/2789168.2789169 |
dc.Type | Observational data |
ddi.InstrumentType | Static sensors |
ddi.Methodology | The UrbanSense Platform is made up of Data Collection Units (DCU) in which complex communication infrastructures exist in the urban area, together with a Delay Tolerant Network (DTN), in which the sensors of the infrastructure PortoLivingLab through the wireless connection points reach the knots backhaul. In the case of the UrbanSense project, the collected data is transferred to the cloud backend server through Wi-Fi APs. |
ddi.Universe | The project comprises data collected by 13 sensors, which are arranged in 23 locations in the city of Porto. |
m3-lite.Working State | Disabled |
qu.Unit | CO - volts; Humidity - %; Luminosity - volts; NO2 -volts; Noise - dB; O3 - volts; Particles 1 - counts; Particles 2 - counts; Solar radiation - volts; Temperature - C; Wind direction - degrees; Wind speed - rps (1rps=1,492miles/h); Precipitation - number of buckets (1 bucket=0,2794mm) |
ssn.SensorDataSheet | Documents with information about the sensors available in the folder called "Sensor Data Sheet" |