Add Schrag2026Pediatric SSVEP dataset (n=47, ages 5-18)

docs/source/api.rst

@@ -231,6 +231,7 @@ SSVEP Datasets
     Liu2022EldBETA
     Wang2021Combined
     GuttmannFlury2025_SSVEP
+    Schrag2026Pediatric
 
 --------------
 c-VEP Datasets

docs/source/whats_new.rst

@@ -23,6 +23,7 @@ Version 1.6  (Source - GitHub)
 
 Enhancements
 ~~~~~~~~~~~~
+- Add :class:`moabb.datasets.Schrag2026Pediatric` — open-access pediatric SSVEP-BCI dataset (47 children aged 5-18, g.tec g.GAMMAsys + g.USBamp at 256 Hz, 16 channels) covering both an online 4-target SSVEP game (6.25 / 10 / 11.11 / 14.28 Hz) and an opt-in 12-stimulus personalization recording (4 contrasts x 3 sizes at 10 Hz). XDF + Unity markers; trial labels are derived from the matching ``Movements/`` CSV (live fbCCA classifier output). Single 1.2 GB zip on Zenodo (``10.5281/zenodo.19440997``) extracted per-subject on first use (by `Bruno Aristimunha`_)
 - Add 7 new imagined speech dataset adapters: :class:`moabb.datasets.AguileraRodriguez2025` (15 subjects, 4 Spanish words, traditional vs gamified paradigm), :class:`moabb.datasets.Nguyen2017_V`, :class:`moabb.datasets.Nguyen2017_S`, :class:`moabb.datasets.Nguyen2017_L`, and :class:`moabb.datasets.Nguyen2017_SL` (Nguyen et al. 2017 vowels / short words / long words / short-vs-long conditions), :class:`moabb.datasets.Nieto2022` (10 subjects, 4 directional tasks across inner / pronounced / visualized speech modalities, 128-ch BioSemi), and :class:`moabb.datasets.Pressel2016` (15 subjects, 11-class Spanish vowels and directional commands) (by `Bruno Aristimunha`_)
 - Welcome **imagined speech** as a distinct category of imagery datasets with a dedicated documentation section (see :doc:`dataset_summary`), a new ``moabb/datasets/summary_imagined_speech.csv`` summary table, and a grouped ``Imagined Speech Datasets`` listing in the API reference. The new datasets continue to use the existing ``paradigm="imagery"`` tag so all motor-imagery paradigm classes work unchanged (by `Bruno Aristimunha`_)
 - Add 2 new BCI Competition 2020 dataset adapters: :class:`moabb.datasets.BCIComp2020UpperLimb` (Track 4, 15 subjects, 3 grasping tasks on a single right arm, 3 recording days 7 days apart for session-to-session transfer evaluation) and :class:`moabb.datasets.BCIComp2020WalkingERP` (Track 5, 15 subjects, visual P300 oddball during walking at 1.6 m/s on a treadmill, simultaneous scalp-EEG + ear-EEG + EOG + IMU recording) (by `Bruno Aristimunha`_)

moabb/datasets/__init__.py

@@ -132,6 +132,7 @@
 from .romani_bf2025_erp import RomaniBF2025ERP
 from .rozado2015 import Rozado2015
 from .schirrmeister2017 import Schirrmeister2017
+from .schrag2026 import Schrag2026Pediatric
 from .simoes2020 import Simoes2020
 from .sosulski2019 import Sosulski2019
 from .speier2017 import Speier2017