ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
<b>OPAL</b>: A multimodal ambient sensor dataset for activity, occupancy, and energy analysis in an office workspace<p dir="ltr">OPAL (Office Presence, Activity and Load) is a multimodal ambient sensor time-series dataset collected over 33 continuous days in a shared university laboratory workspace at the Gwangju Institute of Science and Technology. Two connected rooms were instrumented: Room 207, the main workspace, and Room 205, a meeting and common area.</p><p dir="ltr">The release combines appliance-level e
figshare2026 · Astronomical catalogue
Data for Integrated probe system for measuring soil carbon dioxide concentrationsThis article outlines the design and implementation of an internet-of-things (IoT) platform for the monitoring of soil carbon dioxide (CO2) concentrations. As atmospheric CO2 continues to rise, accurate accounting of major carbon sources, such as soil, is essential to inform land management and government policy. Thus, a batch of IoT-connected CO2 sensor probes were developed for soil measurement.
figshare2026 · Astronomical catalogue
Data for Trust in the smart home : findings from a nationally representative survey in the UKBusinesses in the smart home sector are actively promoting the benefits of smart home technologies for consumers, such as convenience, economy and home security. To better understand meanings of and trust in the smart home, we carried out a nationally representative survey of UK consumers designed to measure adoption and acceptability, focusing on awareness, ownership, experience, trust, satisfact
figshare2026 · Astronomical catalogue
Data for Trust trackers for computation offloading in edge-based IoT networksWireless Internet of Things (IoT) devices will be deployed to enable applications such as sensing and actuation. These devices are typically resource-constrained and are unable to perform resource-intensive computations. Therefore, these jobs need to be offloaded to resource-rich nodes at the edge of the IoT network for execution. However, the timeliness and correctness of edge nodes may not be tr
figshare2026 · Astronomical catalogue
Data for Buffer management for trust computation in resource-constrained IoT networksResource-constrained Internet of Things (IoT) devices are executing increasingly sophisticated applications that may require computational or memory intensive tasks to be executed. Due to their resource constraints, IoT devices may be unable to compute these tasks and will offload them to more powerful resource-rich edge nodes. However, as edge nodes may not necessarily behave as expected, an IoT
figshare2026 · Astronomical catalogue
Data for Trust assessment in 32 KiB of RAM : multi-application trust-based task offloading for resource-constrained IoT nodesThere is an increasing demand for Internet of Things (IoT) systems comprised of resource-constrained sensor and actuator nodes executing increasingly complex applications, possibly simultaneously. IoT devices will not be able to execute computationally expensive tasks and will require more powerful computing nodes, called edge nodes, for such execution, in a process called computation offloading.
Teesside University Research Data Repository2026 · dataset
Code and artifacts for: Mapping the Aggregate–Worst-Class Trade-off in Feature Selection for Multi-Attack IoT Intrusion Detection: A Bi-Objective Evolutionary Study on TON_IoT, with an Identifier-Shortcut AblationThis repository contains the code that reproduces every table and figure in the paper, plus the fixed data split used (splits.json). The two datasets are not redistributed here (see licensing note below); download them from their original sources using the links and checksums provided. Every number in the paper is produced by the code above from the real datasets; nothing is hand-entered. Where a
Teesside University Research Data Repository2026 · dataset
Empowering Sustainable Vertical Farming Through IoT and AI-Driven Technologies: A technical Blueprint with insights from the UK and IndiaThis repository contains the code and data provenance documentation supporting the review article "Empowering Sustainable Vertical Farming Through IoT and AI-Driven Technologies: A Technical Blueprint with Insights from the UK and India" . As a systematic PRISMA-based literature review, the study does not involve original experimental or primary data collection; instead, all quantitative values us
Teesside University Research Data Repository2026 · dataset
Distributed Rate-Evading CoAP Amplification: Multi-Source Experimental DatasetTeesside University Research Data Repository2026 · dataset
On-Site LoRaWAN IoT Dataset for Hydroclimatic and Soil Moisture Monitoring in Tropical Agriculture: Montería, Colombia, 2025This dataset provides hourly, daily and monthly records from an on-site LoRaWAN IoT station for hydroclimatic and soil moisture monitoring in a tropical agricultural plot in Montería, Colombia, during 2025. It includes environmental variables, soil moisture by depth, IoT node observations, telemetry, battery performance, calibration logs, field events, a data dictionary, and quality-control rules.
Teesside University Research Data Repository2026 · dataset
LoRa Field-Test P2P CAN Telemetry DatasetThis dataset provides real-world packet-level measurements of point-to-point LoRa communication carrying CAN telemetry. It is intended for analysing wireless reliability and communication-performance trade-offs across LoRa configurations and link distances. The measurements span distances from 6.25 m to 100.0 m, spreading factors SF7-SF12, signal bandwidths 62.5/125/250/500 kHz, and effective tran
Teesside University Research Data Repository2026 · dataset
A Synchronized Kinematic and Optical Dataset for Mobility-Aware Predictive Modeling in Indoor LiFi SystemsThis dataset contains synchronized motion and optical measurements collected for the study of dynamic indoor Visible Light Communication (LiFi) channels under user mobility and device orientation changes. The objective of the dataset is to support research on channel aging, predictive modeling, adaptive communication, and sensor-based LiFi system analysis. Data were collected using a custom ESP32-
Repositorio Institucional de la Universidad de Burgos2026 · Archive
Labeled IoT Window-Based Random Network Pattern Dataset for Reinforcement LearningThis dataset is designed to support the training and evaluation of reinforcement learning models in the context of network traffic analysis. It is derived from an existing IoT network traffic dataset, from which packet capture (pcap) files were selected and processed following a custom methodology explained in [Methodological Information](methodological-information). The resulting data representat
Repositorio Institucional de la Universidad de Burgos2026 · Archive
CyberFlowIoT-GICAP: Labelled Flow-Based Network Traffic Dataset for Cyberattack Detection [Dataset]This study presents a labelled flow-based network traffic dataset collected from a controlled Internet of Things (IoT) laboratory environment. The dataset captures network communication generated by hardware-based IoT devices during normal operation, including MQTT messaging, database synchronization, and web-based monitoring, as well as during the execution of predefined cyber-attack scenarios wi
e-cienciaDatos2024 · dataset · unknown
Análisis de Vulnerabilidades en Entornos IoT basado en datos en abierto (CVEs)Dentro de los objetivos de la Cátedra “Smart Rural IoT and Secure Environments" nos planteamos la necesidad de prevenir los principales ataques en entornos IoT. Para ello debemos poder evaluar y auditar los mecanismos de seguridad en entornos IoT. Es por tanto necesario comprender cómo los cibercriminales están atacando actualmente los dichos sistemas. La mayoría de los atacantes se apoyan en expl
Teesside University Research Data Repository2024 · dataset
The Impact of IoT on Nigeria's Commercial banksThis is a dataset that was used to investigate the Operational Efficiency of IoT's Influence on Nigeria's Commercial Banking Sector
REDU - Unicamp Institutional Research Data Repository2024 · dataset · unknown
Dados da tese "Modelo integrativo da avaliação do ciclo de vida com internet das coisas, BIM e aprendizado de máquinas"No arquivo "Modelo Integrativo" encontra-se o modelo integrativo da Avaliação do Ciclo de Vida com Internet das Coisas, BIM e Aprendizado de Máquinas desenvolvido na tese, em formato xps. Nos arquivos que se iniciam com ArCondicionado, ESP32 e JE05, encontram-se todos os dados brutos utilizados durante a etapa de coleta de dados da tese. Na coleta de dados, foram instalados um total de 394 sensore
Teesside University Research Data Repository2021 · dataset
Tomato Greenhouse Measurement of RSSI in Almeria SpainThis data is related to the research paper: "Path loss determination using linear and cubic regression inside a classic tomato greenhouse" For example, the file "90-1880.csv" is the record of the measurements with the antennas of the nodes at 90 cm and a distance of 1880 cm between them. In each file, there are 4 segments corresponding to the change of 4 positions between the nodes Tx and Rx keepi
DANS Data Station Physical and Technical Sciences2021 · dataset · unknown
Source code of the PRSS and CWSS applicationsSource code accompanying the paper: M. Lubbers, P. Koopman, A. Ramsingh, J. Singer, and P. Trinder, ‘Tiered versus Tierless IoT Stacks: Comparing Smart Campus Software Architectures’, presented at the 10th International Conference on the Internet of Things, Malmö, 2020, doi: 10.1145/3410992.3411002. Abstract: Internet of Things (IoT) software stacks are notoriously complex, conventionally comprisi
figshare2019 · Astronomical catalogue
Data for FlockLab Testbed ProfileFor research in Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), while many protocols are either analysed mathematically or simulated to assess performance, it has become necessary that they are tested on hardware in real world environments. Algorithms are often validated in either (i) a densely connected net-work or (ii) a sparsely connected network. The majority of existing test