## 1 Introduction  
Modern technical structures are presently often constructed as fiber reinforced composites due to their low weight, high strength and superior fatigue behavior. Examples include aircraft structures, wind turbine blades, ship components and automotive structures. Structural health monitoring (SHM) systems have been researched for more than 20 years to improve safe operation, to reduce safety factors in the structural design and to avoid unnecessary maintenance tasks [1]. Several techniques were proposed in the literature to detect damage in complex composite structures, including acoustic emission [2], low-frequency vibrations [3] and X-ray computed tomography [4]. One promising SHM concept for thin-walled structures is based on ultrasonic guided waves (GW). [PERSON] et al. have shown that such an SHM system has the potential of saving 5% of the structural mass of a vertical tail plane [5]. Applying this analysis to the whole aircraft fuel consumption could be reduced by roughly 1.8%. The advantages of GW are the ability to propagate over long distances without substantial attenuation and their high sensitivity to stiffness changes within the structure because of damages. On the other hand, GW are dispersive and occur multimodally [6; 7; 8; 9]. This makes signal analysis to detect damage challenging and a good understanding of the phenomenology of GW propagation is needed. Simulation models can help to establish this understanding and additionally support signal evaluation. For this purpose, however, these numerical models must be validated. For the further development of GW-SHM systems an important challenge is the lack of public, freely and permanently available, high-quality and well-documented benchmark datasets. In particular, the measurements should be performed on specimens of different complexity in order to validate the wide range of numerical methods [10] and signal processing methods. In recent years, such data sets with different focus were provided, e.g., by [PERSON] et al. [11; 12] and [PERSON] et al. [13]. The central questions regarding the practical deployment of GW-based diagnostics are given (i) by the relative performance of existing and novel SHM methods, and (ii) by the performance relative to competing non-destructive testing (NDT) techniques. Here, the performance e.g., can be given in terms of damage detection sensitivity or localization accuracy. These questions should ideally be tackled by using an open dataset, because there exist significant differences in the published modelling procedures or the manner in which experiments were conducted. Due to this variability, a fair assessment of performance results is not feasible. This article presents an amendment to the Open Guided Waves (OGW, www.openguidedwaves.de) online platform whose datasets might be considered to be a reference standard. Through OGW existing algorithms for signal analysis used in SHM and GW field processing can be compared without uncertainties because of varying measurement equipment or different transducer technologies. Also the platform can serve engineers or researchers with appealing ideas but without access to expensive instrumentation. This potentially will lead to a stronger transdisciplinary cooperation between the scientific and technical fields in order to promote GW-based SHM technology. The OGW platform aims to provide relevant data sets for GW-based SHM of thin-walled structures. In previous works, benchmark measurements were recorded on the so-called _wave field plate_ with one piezoelectric transducer placed in the center [11]. A 3D scanning laser Doppler vibrometer (SLDV) recorded the acoustic wave field on a spatial grid of measurement points. In addition, measurements from the _SHM plate_ were taken based on an array of twelve piezoelectric transducers, see [11; 12]. Both plates were made of carbon fibre reinforced plastics (CFRP). Generally, fiber composites have typically anisotropic material properties which affect the group velocity of GW.