Room acoustics, and the perception thereof, are important considerations in research, engineering, architecture, creative expression, and many other areas of human activity, particularly indoors. Typical room datasets contain either disparate measurements of diverse spaces, e.g., the OpenAir dataset (Murphy and Shelley, 2010), or rich sets of measurements within a few rooms, e.g., CD4M (Stewart and Sandler, 2010). The development of techniques, such as the RSAO, with 6 degrees of freedom movement in media applications, requires testing distance-related effects. Hence, there is a need for consistency across room measurements in terms of source-room-receiver configuration, such as in (Lokki et al., 2011) but particularly for typical rooms. Those available, containing ARIRs, BRIRs, and with a consistent measurement procedure, tend to be limited in the range of rooms measured (Bacila and Lee, 2019). We designed an RIR dataset including seven rooms with typical reverberation times from 0.24 s to 1.00 s and volumes from 50 m3 to 1600 m3. 1O-ARIRs and BRIRs were captured with a regular measurement procedure. LiDAR scans and 3D pictures were also captured, providing precise geometries and visual references. Analysis based on metrics defined in ISO 3382-1:2009 is presented to describe each of the rooms in the dataset.
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