This dataset consists of PCAP (Packet Capture) files containing network traffic from IoT devices. The traffic may include normal activity as well as cyberattacks originating from one or more IoT sensors. The dataset is designed to support research in network security, intrusion detection, and anomaly detection in IoT environments. Each PCAP file captures different scenarios, which may include benign traffic, malicious activities, or a combination of both. To facilitate understanding and analysis, the dataset includes README files that provide detailed explanations about each PCAP file, including information on the network topology, attack types (if present), and the specific IoT sensors involved. Potential Applications: Development and benchmarking of Intrusion Detection Systems (IDS) and Machine Learning models. Analysis of network behavior in IoT ecosystems. Study of various attack vectors targeting IoT infrastructures. Traffic classification and anomaly detection in real-world IoT networks. This dataset aims to provide a realistic and diverse collection of network captures to support research and development in cybersecurity and IoT network analysis.This work has been realised by MTP Research and Developemt Department (www.mtp.es). ENTA is funded by CDTI and the ITEA3 Program and is supported by the European Commission through the Next Generation Funds and the Recovery, Transformation, and Resilience Plan.