Lab cognitive/affective workload with continuous physiological and gaze streams. FEEL Table 1 includes it for EDA+PPG emotion bins.
- Type
- Dataset
- Licence
- Not reported
- Access
- Not reported
- Subjects
- 21
- Devices
- PPG sites
- Wrist
- Setting
- Lab
- Wrist
- Yes
- Raw waveforms
- Yes
- Updated
- Oct 27, 2026
Original description
Maqolada Qoraqalpog'iston respublikasida joylashgan Karauzyak koni vermikulit rudasining kimyoviy va fraksion tarkibi, uchraydigan minerallari hamda vermikulitdan olish mumkin bo'lgan turli xil materiallar haqida ma'lumotlar keltirilgan. Shuningdek Karauzyak koni rudasini boyitish uchun tavsiya qilingan texnologik sxema hamda rudani havoli ajratish yo'li bilan boyitish bo'yicha o'tkazilgan tadqiqot natijalari keltirilgan.
Verbatim fromZenodo· Licence: cc-by-4.0
Key numbers
How it works
No model in the hub reports results on this dataset yet.
- Sampling
- E4 BVP/EDA/ACC/TEMP (standard); Tobii eye tracker; webcam face
- Reference labels
- emotion
- Device roles
- Study wearable (IMU)
Devices· 1
Full photo credits, sources and licences are on each device page.
Models trained or evaluated on it
Papers using it· 1
FAQ
How many subjects are in MOCAS?
MOCAS has data from 21 subjects, as listed in its research record.
What signals does MOCAS include?
MOCAS includes PPG, EDA, accelerometer, skin temperature and eye data. Sampling rate as recorded: E4 BVP/EDA/ACC/TEMP (standard); Tobii eye tracker; webcam face. Raw waveforms are included.
What can MOCAS be used for?
Research tasks it supports: emotion recognition and stress detection. Reference labels: emotion.
How do I get MOCAS, and what is its licence?
It is hosted on Zenodo at https://zenodo.org/records/10396672. No licence is recorded for it here, so check the terms on the source page before you use it.
Was MOCAS recorded with a wrist-worn device?
Yes. Its record lists wrist-worn recording.
Cite
APA
MOCAS [Data set]. (n.d.). zenodo. https://doi.org/10.5281/zenodo.10396672
BibTeX
@misc{mocasmocas,
title = {{MOCAS}},
howpublished = {zenodo},
doi = {10.5281/zenodo.10396672}
}Built from the hub record. Check it against the publisher before submitting.
Cite the ChatPPG record
Cite the dated snapshot 2026-10 for a fixed, reproducible version. Please also cite the original publications listed above.
APA
ChatPPG. (2026). MOCAS: dataset record (Version 2026-10) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/datasets/mocas
BibTeX
@misc{chatppg_dataset_mocas,
author = {{ChatPPG}},
title = {{MOCAS: dataset record}},
year = {2026},
month = oct,
version = {2026-10},
howpublished = {\url{https://chatppg.com/research/datasets/mocas}},
note = {ChatPPG Research Hub, Snapshot 2026-10, https://chatppg.com/research/snapshots/2026-10}
}CITATION.cff
cff-version: 1.2.0 message: "If you use this resource, please cite it as below." type: dataset title: "MOCAS: dataset record" authors: - name: "ChatPPG" url: "https://chatppg.com/research/datasets/mocas" repository-artifact: "https://chatppg.com/research/snapshots/2026-10" version: "2026-10" date-released: "2026-10-27"
History
Record updated
Papers
Cross-Modal Correlation Fusion for End-to-End ECG–PPG Stress ClassificationSame task: StressFrontiers in Artificial Intelligence and A · 2026- Driving-Context Classification from Wearable Physiological and Motion Signals During Real-World DrivingSame task: StressSensors 2026, 26 · 2026
ReliaGate: Reliability Routing for Low-Stakes Wearable Stress PredictionSame task: StressUbiComp Companion 2026 · 2026
