Auditory datasets

Currently, 11 response datasets are available, each with a short name for easier reference. They span five species and a range of recording modalities — extracellular single-units, multi-unit activity, and scalp EEG — but all share the same NeuralDataset API (NaN-sentinel missing trials, optional download=True, and the selection / concatenation utilities). Each dataset has its own page below with the original paper, licensing, response shape, and instructions on how to obtain the data (auto-download where possible).

Ferret (Mustela putorius furo)

  • NS1 — primary auditory cortex (A1); 20 clips of natural sounds (speech, ferret & other animal vocalizations, environmental).

  • NAT4 — A1 & PEG (849 + 398 units); natural sounds.

  • Espejo 2019 — awake A1; natural sounds + vocalization-modulated noise (two disjoint releases).

  • Wingert 2026 — A1 + PEG (plus smaller AC & HC fields) single-units across 4 ferrets.

Zebra finch (Taeniopygia guttata)

  • CRCNS AA1 — conspecific vocalizations + flat ripples.

  • CRCNS AA2 — extracellular single-units (57 birds); conspecific vocalizations, flat & song ripples.

  • CRCNS AA4 — extracellular recordings spanning the full zebra-finch vocal repertoire (songs + calls) plus ripple noise.

  • Le 2025 — auditory cortex; occluded conspecific song (auditory-restoration paradigm).

Rat (Rattus norvegicus)

Squirrel monkey (Saimiri sciureus)

  • Downer 2025 — A1 multi-unit activity; TIMIT speech + species-specific vocalizations.

Human (Homo sapiens)

  • Alice EEG — scalp EEG; naturalistic continuous speech (audiobook; Brodbeck 2023).