## 1 Introduction  
Industrial and smart grid applications require dependable transmissions for monitoring and control operations, which means reliable, available, and timely delivery of packets [1]. In wired networks, this kind of dependability is achieved using a central path computation entity, which has a complete view of the network topology. However, this model cannot be simply adapted to wireless networks for two main reasons [2]. First, wireless communications are subject to propagation (i.e., the Fresnel zone is typically blocked) and interference (i.e., these networks operate in unlicensed bands) effects. Second, radio conditions may change faster (i.e., mobile nodes or a dynamic environment cause multi-path fading) compared to the adaptability and reprogramming ability of a centralized engine, in particular when the controller is distant or when connectivity is limited. To guarantee dependability in such adverse conditions, the RAW (Reliable and Available Wireless) WG (Working Group) is currently being formed at the IETF (Internet Engineering Task Force) [3]. RAW enables parallel transmissions over heterogeneous media and multiple hops and leverages the PAREO functions [4], which stand for Packet Replication, ARQ (Automatic Repeat Request), Replication, Elimination, and re-Ordering. In addition, RAW separates the routing time scale, at which a complex path is recomputed, from the forwarding time scale, at which the forwarding decision is made for an individual packet. Hence, the RAW problem is to decide, within the redundant solutions that are proposed by the routing, which link will be used for each individual packet to provide a dependable service while minimizing the waste of resources. That is, a RAW solution would consist of a set of protocols that evaluate the media in real-time, and control the use of redundancy and diversity attributes that are available along the path. Given the rising interest in dependable low-power wireless communications for industrial and smart grid applications, there are various studies that have recently focused on analyzing the performance of IEEE 802.15.4g SUN (Smart Utility Network) modulations, namely SUN-FSK (Frequency Shift Keying), SUN-OQPSK (Offset Quadrature Phase-Shift Keying), and SUN-OFDM (Orthogonal Frequency Division Multiplexing), as defined in the latest revision of the IEEE 802.15.4 standard [5]. For example, in [6; 7; 8], the authors studied the suitability of IEEE 802.15.4g SUN modulations for smart metering utility networks. More recently, in [9; 10], the authors studied the suitability of IEEE 802.15.4g in smart building and environmental monitoring scenarios, respectively. However, none of these studies have conducted a deployment in an industrial scenario to evaluate the real-world performance of these technologies for a long period of time to demonstrate their benefits and drawbacks. In this paper, we fill this gap by presenting a dataset obtained from the deployment of 11 nodes using the IEEE 802.15.4g SUN modulations for 99 days in a warehouse with an area of 110,044 m\({}^{2}\). The dataset contains 10,710,868 measurements of RSSI (Received Signal Strength Indicator), CCA (Clear Channel Assessment), and PDR (Packet Delivery Ratio) values. The results show large variability in the average RSSI (i.e., between \(-\)82.1 dBm and \(-\)101.7 dBm) and CCA (i.e., between \(-\)111.2 dBm and \(-\)119.9 dBm) values caused by multi-path propagation and external interference effects, leading to poor PDR values (i.e., from 65.9% to 87.4%), despite the fact that nodes are well above the sensibility limit for each modulation. To the best of our knowledge, this is the first paper to present a large dataset using IEEE 802.15.4g SUN modulations in an industrial environment, and we expect that the data gathered will enable researchers and practitioners to study alternatives to enhance the dependability properties of low-power wireless communications in the context of the RAW WG at the IETF. The remainder of this article is organized as follows.