Resources
These resources include original and publicly available datasets that were standardised according to the CND data structure, as well as original analysis scripts and links to publicly available toolboxes for the analysis of continuous-event neural data. Note that each dataset should be used according to its own license and should be referenced as indicated by the authors in their original submission.
Continuous-event Neural Data data format
Please check out the CND specifications (Continuous-event Neural Data) and the documentation website. You can also refer to this paper for more detailed insights. Detailed insights on the format can be found in our Resource preparation guidelines and on the BYOData Preparation Guidelines.Please acknowledge CNSP if you use these resources, such as code, CND structure and datasets, tutorials, or libraries.
| Datasets | |||
|---|---|---|---|
| Authors | Original Link | Paper | Download CND data |
| Broderick, Andreson, Di Liberto, Crosse and Lalor | EEG: Natural, reverse & cocktail party speech listening, English | Current Biology, 2018 | Download natural speech dataset *** Download reverse speech dataset Download cocktail party dataset |
| Di Liberto, Pelofi, Bianco, Patel, Mehta, Herrero, de Cheveigné, Shamma and Mesgarani | EEG: Bach piano melodies | eLife, 2020 | Download diliBach dataset |
| Marion, Di Liberto, and Shamma | EEG: Music listening & imagery | J Neurosci, 2021 (Part I) J Neurosci, 2021 (Part II) |
Download Music Imagery dataset |
| Brennan and Hale | EEG: Natural speech | PLoS ONE, 2019 | Download dataset |
| Das, Francart, Bertrand | EEG: Cocktail party speech | J Neural Eng, 2016 | Download dataset |
| Di Liberto, Attaheri, Goswami, et al. | EEG: Baby rhythm speech | Nature Communications, 2023 | Download BabyRhythm dataset |
| Yahav, Rabinovitch, Korisky, Harel, Bliechner and Zion Golumbic | EEG: Video lectures with distracting speech | bioRxiv, 2025 | Download dataset |
| Levy, Zvilichovsky, Korisky, Bidet-Caulet, Schweitzer, Zion Golumbic | EEG: VR lecture with distractions | eLife, 2025 | Download dataset |
| Rogachev and Sysoeva | EEG: Child stories | Cognitive Systems Approach, 2024 | Download dataset |
| Accou, Bollens, Gillis, Verheijen, Van hamme, Francart | EEG: Speech listening, Flemish, N=85 | Data, 2024 | Download SparrKULee data-lite 1 Download SparrKULee data-lite 2 SparrKULee README |
| Toolboxes | |||
| Link | Authors | Paper | Description |
| CNSP Resources GitHub and documentation |
Di Liberto, Nidiffer, Crosse, Zuk, Haro, Cantisani et al. | arXiv, 2023 | The CNSP analytic resources and guidelines for relating neural signals to continuous stimuli. |
| CNSP Data Browser (beta) |
Di Liberto et al. | arXiv, 2023 | An interactive MATLAB toolbox for data preprocessing, TRF and cross-correlation analyses, feature design, CND import/export, and data simulation. |
| mTRF-Toolbox (Domain-specific) |
Crosse, Di Liberto, Bednar & Lalor | Front Hum Neurosci, 2016 | A MATLAB toolbox for relating neural signals to continuous stimuli. |
| Eelbrain (Domain-specific) |
Brodbeck et al. | eLife, 2023 CNSP2021 slides |
A Python toolbox for relating neural signals to continuous stimuli. |
| NoiseTools | de Cheveigné et al. | Papers | A MATLAB toolbox for denoising and analysing continuous and event-related neural data. |
| EEGLAB (General purpose) |
Delorme & Makeig | J Neurosci Methods, 2004 | An interactive MATLAB toolbox for processing continuous and event-related neural data. |
| MNE (General purpose) |
Gramfort et al. | Front Neurosci, 2013 | A Python package for exploring, visualizing, and analyzing neural data. |
| PERMUTOOLS (General purpose) |
Crosse et al. | arXiv, 2024 | A MATLAB package for multivariate permutation testing and effect size measurement. |
| Other Useful References | |||
| Link | Authors | Description | Year |
| Computational audiology resources | Barbour, Hohmann, Ntlhakana, Zeng, Buhl, Goehring, Warzybok, Wasmann | This initiative strives to highlight recent examples that illustrate the potential of a computational approach to audiology. computationalaudiology.com aims to become a central hub for sharing resources that are useful for researchers and clinicians. | 2020-present |