2026-10-12T03:23:36Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33756886 2026-09-14T20:21:10Z portal_1197 item_type_3 month_year_09_2026

Data for A service-oriented middleware for integrated management of crowdsourced and sensor data streams in disaster management Luiz Fernando F. G. de Assis (24899599) Flávio E. A. Horita (24899602) Edison P. de Freitas (24899605) Jo Ueyama (13594738) João Porto de Albuquerque (24861934) Middleware Emergency management Sensor networks Crowdsourcing Migrated from ePrints The increasing number of sensors used in diverse applications has provided a massive number of continuous, unbounded, rapid data and requires the management of distinct protocols, interfaces and intermittent connections. 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 (http://www.agora.icmc.usp.br/enchente/) in the city of São Carlos. - scenario-one/AGORA-DSM-performance-tracking.csv: CEMADEN (http://www.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 (http://www.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 (http://www.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 (http://www.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. 2018-06-01T00:00:00Z Dataset Dataset 10.82444/warw.33756886.v1 https://figshare.com/articles/dataset/Data_for_A_service-oriented_middleware_for_integrated_management_of_crowdsourced_and_sensor_data_streams_in_disaster_management/33756886 CC BY 4.0