Data for A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management

As traditional sensor networks are error-prone and difficult to maintain, the study highlights the emerging role of “citizens as sensors” as a complementary data source to increase public awareness. To this end, an interoperable, reusable middleware for managing spatial, temporal, and thematic data using Sensor Web Enablement initiative services and a processing engine was designed, implemented, and deployed.

The study found that its approach provided effective sensor data-stream access, publication, and filtering in dynamic scenarios such as disaster management, as well as it enables batch and stream management integration. Also, an interoperability analytics testing of a flood citizen observatory highlighted even variable data such as those provided by the crowd can be integrated with sensor data stream. Our approach, thus, offers a mean to improve near-real-time applications.<br><br>The dataset contains: - crowdsourcing/reports.csv: The georeferenced reports provided by volunteers in a Citizen Observatory (agora.icmc.usp.br/enchente/) in the city of São Carlos. - scenario-one/AGORA-DSM-performance-tracking.csv: CEMADEN (cemaden.gov.br/) rainfall gauges values (station code, time, gathering time, publishing time, latency, base experiment latency, city name - unit of federation, water level) from 2017-11-29 08:50:42 to 2017-11-30 12:15:16; - scenario-two/AGORA-DSM-performance-tracking.csv: CEMADEN (cemaden.gov.br/) rainfall gauges values (station code, time, gathering time, publishing time, latency, base experiment latency, city name - unit of federation, water level, latitude and longitude) from 2017-12-12 07:57:56 to 2017-12-13 06:49:20; - scenario-three/AGORA-DSM-performance-tracking.csv: CEMADEN (cemaden.gov.br/) rainfall gauges values (station code, time, gathering time, publishing time, latency, base experiment latency, city name - unit of federation, water level, latitude and longitude) from 2017-12-14 01:06:54 to 2017-12-15 12:24:45; - scenario-fourth/AGORA-DSM-performance-tracking.csv: CEMADEN (cemaden.gov.br/) rainfall gauges values (station code, time, gathering time, publishing time, latency, base experiment latency, city name - unit of federation, water level, latitude and longitude) from 2017-12-16 08:18:04 to 2017-12-18 07:54:04; - *.R: post-processing scripts for category/description wordcloud of citizen reports, and sensor management time frequency and behaviour as well as scalability.