Dataset for research on Reverberation Enhancement Systems A Reverberation Enhancement System (RES) is an active system for variable room acoustics. It uses microphones to capture the sound in a room and loudspeakers to reproduce the processed microphone signals, thus enhancing the reverberant field in the space. DataRES comprises room impulse responses measured in rooms that host a RES. These rooms are used for research and development on RESs, either in the academic or industrial environment, or for hosting live performance events. The spaces differ in volume, geometry, and reverberation properties, and the multichannel audio setups differ in the number and position of transducers. The data is first divided between the collected rooms. For each room, the data is further divided per processing block according to the model depicted in SignalModel.pdf. The processing blocks are the impulse responses between: stage musicians and audience - H_SA stage musicians and system microphones - H_SM system loudspeakers and system microphones - H_LM system loudspeakers and audience - H_LA DataRES reports information for each room in the form of json files: datasetInfo.json contains the list of the collected rooms and their high-level information roomInfo.json contains the low-level information of one room. There is one for each room folder rirsInfo.json contains the list of recorded room impulse responses for the related room. There is one for each processing block PyRES is the accompanying python package which provides and api to easily work with DataRES. The work leading to producing the dataset and related research was supported by the Research Council of Finland, project No. 357391.