About A dataset of room impulse responses (RIRs) measured in the low frequency range, for different measurement signal lengths, in two rooms with different acoustic conditions. Acquired with the purpose of low-frequency sound zones rendering and evaluation, the dataset can be used in general for different sound field control methods. By design, the dataset is composed of two sets of RIRs: one intended for the design of the control strategies, and another one intended for evaluation [1]. The RIRs of the first set, obtained with measurement signals of different length, allow exploring the influence of the acquisition time of the RIRs in the control methods [2]. The RIRs of the second set allow evaluating the sound field generated at and around the position of the RIRs of the first set. The RIRs were acquired with the Synchronized Swept-Sine (SSS) method, proposed by Novak et al. [3], at a samplig frequency of 48 kHz with SSS signals varying from 15 Hz to 600 Hz. The obtained RIRs were re-sampled to 1.2 kHz. Two files with different contents have been added: RIR_LF_SFC_Light: contains the documentation, MatLab codes, and the ready-to-use RIRs stored as 3D-arrays in .mat files. RIR_LF_SFC_Full: in addition to files in RIR_LF_SFC_Light, it contains the original SSS signals and the signals recorded during the measurements. These were used to retrieve the RIRs and therefore, can be used for custom purposes. Citation Please cite the database with the following paper: @inproceedings{cadavid_ATvsSS_2024,title={Spatial Sampling versus Acquisition Time of Room Impulse Responses for Low-Frequency Sound Zones}, author={Cadavid, Jos{\'e} and M{\o}ller, Martin Bo and van Waterschoot, Toon and Bech, S{\o}ren and {\O}stergaard, Jan}, booktitle={Audio Engineering Society Convention 156}, year={2024}, organization={Audio Engineering Society} } Acknowledgements The authors would like to thank Antonin Novak, Christian S. Pedersen, and Claus Vestergaard for their help with the RIRs measurements. This project has received funding from the European Union’s (EU) Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions Grant No. 956369.