Synthetic Simulations Of Extracellular Recordings (SSOER) Dataset

This dataset contains synthetic data from simulations (for a total duration of 10 minutes) including the activity of one multi-unit and two single-units for different firing rates and signal-to-noise ratio levels. It is intended to be used as a standardized dataset to evaluate spike sorting algorithms. Recordings were taken using a sampling rate of 24 kHz, and are comprised of spikes from a database with 594 different average spike shapes, taken from real recordings from monkey neocortex and basal ganglia. This dataset is comprised of two files: <em>data.npy</em> and <em>labels.csv</em>. <em>data.npy</em> contains 14,400,000 sampled voltage values, from a single channel, taken at a sampling rate of 24 kHz. <em>labels.csv</em> contains the timestep, spike class, amplitude (SNR), and firing rate associated with each spiking event. The original samples used to construct this dataset where previously constructed and made available in [1]. This dataset is an amalgamation of simulation files, which were previously publicly accessible at: http://www2.le.ac.uk/departments/engineering/research/bioengineering/neuroengineering-lab/software. Consequently, when using or making modifications to this dataset, in addition to acknowledging this record, [1] must also be acknowledged, as per the original author's request. [1] J. Martinez, C. Pedreira, M. J. Ison, and R. Quian Quiroga, “Realistic simulation of extracellular recordings,” Journal of Neuroscience Methods, vol. 184, no. 2, pp. 285–293, Nov. 2009, doi: 10.1016/j.jneumeth.2009.08.017.