ERP CORE (Compendium of Open Resources and Experiments)
Generated from data/catalog/registry.yaml@2026-09-17. Values marked TODO(confirm) await the author's catalog.
Description
TODO(confirm) — the author’s catalog does not hold this dataset (§10.1 rule 3); this page carries only the §10.2 facts until a registry stub is added (§10.11 item 8).
Curriculum role: Six paradigms yielding seven components (N170, MMN, N2pc, N400, P3, ERN, LRP); one run per paradigm per subject (sub-002 P3: 405 s)
Citation
- Paper DOI: 10.31234/osf.io/4azqm
- Dataset DOI: 10.18112/openneuro.ds003069.v1.0.0
- Reference: Kappenman, E., Farrens, J., Zhang, W., Stewart, A. X., & Luck, S. J. (2020). ERP CORE: An Open Resource for Human Event-related Potential Research. PsyArXiv.
Download and access
| Field | Value |
|---|---|
| Official source | https://osf.io/thsqg/ |
| Access class | open |
| Size | ~58 MB per subject per paradigm (EEGLAB .set + .fdt plus BIDS sidecars); individually addressable per file |
| Format | eeglab_set, bids |
| BIDS | true |
| Mirrors | Per-paradigm OSF components: N170 pfde9, MMN 5q4xs, N2pc yefrq, N400 29xpq, P3 etdkz, ERN q6gwp, LRP 28e6c; BIDS-compatible raw files 9f5w7 |
License
- Name: CC-BY-SA-4.0
- Note (verbatim from the directory): CONTESTED at source — three statements, all verified 2026-09-18 from the primary material: the LICENSE file shipped with the data says, in the authors’ own words, ‘CC BY-SA 4.0 … if you share the resulting materials, you must distribute your contributions under the same CC BY-SA 4.0 license’; the BIDS dataset_description.json says ‘CC0’; the OSF node thsqg record says ‘CC-By Attribution 4.0 International’. Per §10.7 the most restrictive governs until the author resolves it, so CC BY-SA 4.0 with share-alike is recorded here. §13 item 15 was answered on 2026-09-18: derived assets may ship provided each one carries CC BY-SA 4.0 itself, which complies under all three readings because BY-SA is the strictest of them. Redistribution itself is permitted under all three readings; only whether derived assets must carry share-alike is in question.
- Snippets on this site: allowed — the site may ship short derived snippets and precomputed products from this dataset, labelled as derivatives (re-referenced, filtered, cropped) with citation, license and DOI.
Acquisition
| Field | Value |
|---|---|
| Device | Biosemi ActiveTwo, 30 EEG + 3 EOG electrodes, 10-20 placement scheme |
| Device class | research-cap |
| Channels | 30 (30 EEG + 3 EOG (sub-002 P3 channels.tsv: 30 EEG, 3 EOG, units microV)) |
| Sampling rate (Hz) | 1024 |
| Online filters | n/a (SoftwareFilters: n/a in the BIDS sidecar) |
| Reference | CMS (Biosemi) |
| Mains frequency (Hz) | 60 |
| Paradigms | n170, mmn, n2pc, n400, p3, ern, lrp |
| Participants | 40 (40 participants per paradigm; each paradigm is a separate OSF component with a per-subject BIDS-compatible folder) |
| Population | 40 neurotypical adults |
| Clinical groups | none |
| Sessions | 1 |
| Durations | Six paradigms yielding seven components (N170, MMN, N2pc, N400, P3, ERN, LRP); one run per paradigm per subject (sub-002 P3: 405 s) |
Used on this site
L1.5, L2.3, L2.4, L2.5, L2.6, C2, L3.1, L3.2, L3.3, L3.4, L3.5, L3.6, L3.7, C3, L4.5, L5.3, L6.2, L6.4, L6.5, L7.8, w-reference-explorer, w-threshold-tuner, w-epoch-builder, w-erp-averager, w-measurement-explorer, w-cluster-permutation-viz, w-ica-component-gallery, w-bad-channel-detective
Loader
Fetches only the stated subset. Recorded loader: helpers.load_spine('ds-erpcore', paradigm, subject) — per-file HTTPS download from OSF with a local cache.
TODO(confirm) — the catalog records no loader for this dataset.
Caveats worth knowing
- Licence is contested at source (CC BY-SA 4.0 in the dataset’s own LICENSE file, CC0 in its BIDS sidecar, CC BY 4.0 on the OSF node): the share-alike reading governs until the author decides §13 item 15, so no ERP CORE-derived asset ships yet.
- Not in the author’s catalog: acquisition facts here were read from the dataset’s own BIDS sidecars (sub-002 P3 eeg.json and channels.tsv) and the OSF node record on 2026-09-17, not from data/catalog (§10.1 rule 3). The author should add a registry entry (§10.11 item 8).
- Recorded with a Biosemi CMS/DRL reference: choose and document an explicit reference before any amplitude comparison.
- 1024 Hz native; the site’s snippets are resampled and the sidecar records source_sfreq.
Related datasets
Citation
Kappenman, E., Farrens, J., Zhang, W., Stewart, A. X., & Luck, S. J. (2020). ERP CORE: An Open Resource for Human Event-related Potential Research. PsyArXiv.
- Paper DOI
- 10.31234/osf.io/4azqm
- Dataset DOI
- 10.18112/openneuro.ds003069.v1.0.0
A BibTeX button appears only when every BibTeX field is available in the catalog (§10.8); none is available yet.
Download
- Official source
- https://osf.io/thsqg/
- Access class
- open
- Size
- ~58 MB per subject per paradigm (EEGLAB .set + .fdt plus BIDS sidecars); individually addressable per file
- Format
- eeglab_set, bids
- BIDS
- yes
- Mirrors
- Per-paradigm OSF components: N170 pfde9, MMN 5q4xs, N2pc yefrq, N400 29xpq, P3 etdkz, ERN q6gwp, LRP 28e6c; BIDS-compatible raw files 9f5w7
License
- Name
- CC-BY-SA-4.0
- Note
- CONTESTED at source — three statements, all verified 2026-09-18 from the primary material: the LICENSE file shipped with the data says, in the authors' own words, 'CC BY-SA 4.0 … if you share the resulting materials, you must distribute your contributions under the same CC BY-SA 4.0 license'; the BIDS dataset_description.json says 'CC0'; the OSF node thsqg record says 'CC-By Attribution 4.0 International'. Per §10.7 the most restrictive governs until the author resolves it, so CC BY-SA 4.0 with share-alike is recorded here. §13 item 15 was answered on 2026-09-18: derived assets may ship provided each one carries CC BY-SA 4.0 itself, which complies under all three readings because BY-SA is the strictest of them. Redistribution itself is permitted under all three readings; only whether derived assets must carry share-alike is in question.
- On this site
- Short derived snippets and precomputed products (cropped, re-referenced, filtered) may appear in labs and figures, labelled as derivatives with this license and DOI. Notebooks download only the subset they need from the official source.
Acquisition
| Device | Biosemi ActiveTwo, 30 EEG + 3 EOG electrodes, 10-20 placement scheme |
|---|---|
| Device class | research-cap |
| Channels | 30 — 30 EEG + 3 EOG (sub-002 P3 channels.tsv: 30 EEG, 3 EOG, units microV) |
| Sampling rate | 1024 Hz |
| Online filters | n/a (SoftwareFilters: n/a in the BIDS sidecar) |
| Reference | CMS (Biosemi) |
| Mains frequency | 60 Hz |
| Paradigms | n170, mmn, n2pc, n400, p3, ern, lrp |
| Subjects | 40 — 40 participants per paradigm; each paradigm is a separate OSF component with a per-subject BIDS-compatible folder |
| Sessions | 1 |
| Durations | Six paradigms yielding seven components (N170, MMN, N2pc, N400, P3, ERN, LRP); one run per paradigm per subject (sub-002 P3: 405 s) |
| Population | 40 neurotypical adults |
| Clinical groups | none (healthy only) |
Used on this site
- L1.5 · Filters: FIR, IIR, and what they do to your data
- L2.3 · Re-referencing
- L2.4 · Filtering in practice
- L2.5 · Artifact rejection strategies
- L2.6 · EOG regression and ICA
- C2 · Capstone — Clean pipeline
- L3.1 · Epoching and baseline
- L3.2 · The ERP and its components
- L3.3 · Measuring ERPs
- L3.4 · Topographies and scalp maps
- L3.5 · SNR, trial counts and design
- L3.6 · Single-trial approaches
- L3.7 · Statistics for ERPs
- C3 · Capstone — Replicate ERP CORE
- L4.5 · Phase, ITC and cross-frequency coupling
- L5.3 · Surface Laplacian and CSD
- L6.2 · Mixed models and trial-level data
- L6.4 · Circularity and analytic flexibility
- L6.5 · Decoding as inference
- L7.8 · Reproducible pipelines at scale
- Reference Explorer
- Threshold Tuner
- Epoch Builder
- ERP Averager
- Measurement Explorer
- Cluster Permutation Viz
- ICA Component Gallery
- Bad-Channel Detective
Loader
# Loader recorded in the catalog: helpers.load_spine('ds-erpcore', paradigm, subject) — per-file HTTPS download from OSF with a local cache
# TODO(confirm) the exact call and the subset to fetch. Official source: https://osf.io/thsqg/
Caveats worth knowing
- Licence is contested at source (CC BY-SA 4.0 in the dataset's own LICENSE file, CC0 in its BIDS sidecar, CC BY 4.0 on the OSF node): the share-alike reading governs until the author decides §13 item 15, so no ERP CORE-derived asset ships yet.
- Not in the author's catalog: acquisition facts here were read from the dataset's own BIDS sidecars (sub-002 P3 eeg.json and channels.tsv) and the OSF node record on 2026-09-17, not from data/catalog (§10.1 rule 3). The author should add a registry entry (§10.11 item 8).
- Recorded with a Biosemi CMS/DRL reference: choose and document an explicit reference before any amplitude comparison.
- 1024 Hz native; the site's snippets are resampled and the sidecar records source_sfreq.
Related datasets
- EEG Motor Movement/Imagery Dataset (EEGMMIDB) (spine, scalp)
- LEMON (MPI-Leipzig Mind-Brain-Body) (spine, scalp)
- ASZED, African Schizophrenia EEG Dataset (support, scalp)
- BCI Competition IV data set 2a (BNCI Horizon 001-2014, "Graz data set A") (elective, scalp)
- BrainLat (EEG modality) (elective, scalp)