Data · dataset · 2026
Behavioral_Stress_Dataset
Listed in Teesside University Research Data Repository
Description
Dataset Title: Behavioral Stress Dataset for Multimodal AI Analysis Author: Kosuru Karthik Affiliation: Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India Email: kosuru0062@gmail.com ABSTRACT: This dataset contains 100 behavioral records designed for machine learning and deep learning-based stress prediction research. Each record includes demographic information (age, gender) and behavioral parameters (sleep duration, screen time, workload, physical activity) with corresponding stress levels.
DATASET STRUCTURE: - Total Records: 100 - Total Columns: 9 - File Format: Excel (.xlsx) - License: CC BY 4.0 COLUMN DETAILS: | Column Name | Description | Range | |-------------|-------------|-------| | User_ID | Unique identifier | 1 to 100 | | Age | Age in years | 21 to 26 | | Gender | Male or Female | M, F | | Sleep_Hours | Hours of sleep per day | 3.5 to 8.5 hours | | Screen_Time_Hours | Hours on screen per day | 4.5 to 14.5 hours | | Workload_Hours | Work/study hours per day | 4.2 to 11.0 hours | | Physical_Activity_Minutes | Exercise minutes per day | 5 to 88 minutes | | Stress_Level | Stress score (0-100) | 26 to 98 | | Stress_Category | Categorical stress label | Low, Moderate, High | STRESS CATEGORY RULES: - Low Stress: Stress_Level 0-49 - Moderate Stress: Stress_Level 50-69 - High Stress: Stress_Level 70-100 POTENTIAL APPLICATIONS: 1.
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Machine Learning-based stress prediction (Regression, Decision Trees, Random Forest) 2. Neural Network behavioral pattern learning 3. Clustering analysis (K-Means) 4.
Anomaly detection (Isolation Forest) 5. Time-series behavioral forecasting 6. Correlation analysis between behavioral parameters and stress REUSE INSTRUCTIONS: - Open in Microsoft Excel or any CSV viewer - Use with Python (pandas), R, MATLAB, or any data analysis tool - No additional cleaning required - data is preprocessed and normalized ETHICS STATEMENT: This dataset contains simulated/anonymized data.
No real human subjects were involved. Data can be freely used for academic and research purposes. CITATION: If you use this dataset, please cite: Karthik, K. (2025).
Behavioral Stress Dataset for Multimodal AI Analysis. Mendeley Data. [DOI will be assigned] CONTACT: Kosuru Karthik - kosuru0062@gmail.com
Links
Where it is published
- DOI doi.org/10.17632/z7tb8tt3kw.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/z7tb8tt3kw.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |